{"text": "The attribute_0 is 0.27. The attribute_1 is 0.38. The attribute_2 is 0.51. The attribute_3 is 0.39. The attribute_4 is 0.45. The attribute_5 is 0.4. The attribute_6 is 0.78. The attribute_7 is 0.17. The attribute_8 is 0.67. The attribute_9 is 0.47. The attribute_10 is 0.44. The attribute_11 is 0.74. The attribute_12 is 0.51. The attribute_13 is 0.54. The attribute_14 is 0.46. The attribute_15 is 0.66. The attribute_16 is 0.47. The attribute_17 is 0.39. The attribute_18 is 0.34. The attribute_19 is 0.57. The attribute_20 is 0.19.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.44. The attribute_1 is 0.85. The attribute_2 is 0.32. The attribute_3 is 0.56. The attribute_4 is 0.3. The attribute_5 is 0.82. The attribute_6 is 0.46. The attribute_7 is 0.32. The attribute_8 is 0.33. The attribute_9 is 0.07. The attribute_10 is 0.08. The attribute_11 is 0.71. The attribute_12 is 0.3. The attribute_13 is 0.6. The attribute_14 is 0.15. The attribute_15 is 0.21. The attribute_16 is 0.22. The attribute_17 is 0.35. The attribute_18 is 0.26. The attribute_19 is 0.18. The attribute_20 is 0.13.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.22. The attribute_1 is 0.67. The attribute_2 is 0.58. The attribute_3 is 0.65. The attribute_4 is 0.23. The attribute_5 is 0.32. The attribute_6 is 0.79. The attribute_7 is 0.35. The attribute_8 is 0.57. The attribute_9 is 0.22. The attribute_10 is 0.37. The attribute_11 is 0.82. The attribute_12 is 0.81. The attribute_13 is 0.49. The attribute_14 is 0.74. The attribute_15 is 0.9. The attribute_16 is 0.14. The attribute_17 is 0.78. The attribute_18 is 0.35. The attribute_19 is 0.13. The attribute_20 is 0.43.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.78. The attribute_1 is 0.55. The attribute_2 is 0.25. The attribute_3 is 0.16. The attribute_4 is 0.35. The attribute_5 is 0.31. The attribute_6 is 0.77. The attribute_7 is 0.72. The attribute_8 is 0.59. The attribute_9 is 0.84. The attribute_10 is 0.8. The attribute_11 is 0.94. The attribute_12 is 0.52. The attribute_13 is 0.41. The attribute_14 is 0.54. The attribute_15 is 0.81. The attribute_16 is 0.6. The attribute_17 is 0.35. The attribute_18 is 0.46. The attribute_19 is 0.76. The attribute_20 is 0.83.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.13. The attribute_1 is 0.67. The attribute_2 is 0.59. The attribute_3 is 0.87. The attribute_4 is 0.95. The attribute_5 is 0.97. The attribute_6 is 0.86. The attribute_7 is 0.08. The attribute_8 is 0.78. The attribute_9 is 0.31. The attribute_10 is 0.1. The attribute_11 is 0.78. The attribute_12 is 0.3. The attribute_13 is 0.95. The attribute_14 is 0.1. The attribute_15 is 0.29. The attribute_16 is 0.89. The attribute_17 is 0.7. The attribute_18 is 0.08. The attribute_19 is 0.76. The attribute_20 is 0.13.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.37. The attribute_1 is 0.23. The attribute_2 is 0.31. The attribute_3 is 0.06. The attribute_4 is 0.07. The attribute_5 is 0.02. The attribute_6 is 0.12. The attribute_7 is 0.75. The attribute_8 is 0.41. The attribute_9 is 0.6. The attribute_10 is 0.58. The attribute_11 is 0.08. The attribute_12 is 0.52. The attribute_13 is 0.18. The attribute_14 is 0.39. The attribute_15 is 0.31. The attribute_16 is 0.11. The attribute_17 is 0.25. The attribute_18 is 0.82. The attribute_19 is 0.15. The attribute_20 is 0.93.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.9. The attribute_1 is 0.0. The attribute_2 is 0.03. The attribute_3 is 0.28. The attribute_4 is 0.26. The attribute_5 is 0.48. The attribute_6 is 0.02. The attribute_7 is 0.8. The attribute_8 is 0.04. The attribute_9 is 0.04. The attribute_10 is 0.04. The attribute_11 is 0.09. The attribute_12 is 0.54. The attribute_13 is 0.66. The attribute_14 is 0.3. The attribute_15 is 0.44. The attribute_16 is 0.57. The attribute_17 is 0.02. The attribute_18 is 0.94. The attribute_19 is 0.43. The attribute_20 is 0.13.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.45. The attribute_1 is 0.98. The attribute_2 is 0.43. The attribute_3 is 0.57. The attribute_4 is 0.21. The attribute_5 is 0.75. The attribute_6 is 0.51. The attribute_7 is 0.15. The attribute_8 is 0.22. The attribute_9 is 0.51. The attribute_10 is 0.68. The attribute_11 is 0.84. The attribute_12 is 0.28. The attribute_13 is 0.75. The attribute_14 is 0.23. The attribute_15 is 0.38. The attribute_16 is 0.13. The attribute_17 is 0.66. The attribute_18 is 0.3. The attribute_19 is 0.41. The attribute_20 is 0.36.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.26. The attribute_1 is 0.4. The attribute_2 is 0.37. The attribute_3 is 0.37. The attribute_4 is 0.82. The attribute_5 is 0.56. The attribute_6 is 0.77. The attribute_7 is 0.39. The attribute_8 is 0.58. The attribute_9 is 0.64. The attribute_10 is 0.42. The attribute_11 is 0.98. The attribute_12 is 0.16. The attribute_13 is 0.77. The attribute_14 is 0.12. The attribute_15 is 0.16. The attribute_16 is 0.86. The attribute_17 is 0.46. The attribute_18 is 0.26. The attribute_19 is 0.92. The attribute_20 is 0.51.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.94. The attribute_1 is 0.8. The attribute_2 is 0.59. The attribute_3 is 0.84. The attribute_4 is 0.86. The attribute_5 is 0.2. The attribute_6 is 0.29. The attribute_7 is 0.79. The attribute_8 is 0.13. The attribute_9 is 0.73. The attribute_10 is 0.59. The attribute_11 is 0.65. The attribute_12 is 0.38. The attribute_13 is 0.48. The attribute_14 is 0.54. The attribute_15 is 0.36. The attribute_16 is 0.9. The attribute_17 is 0.37. The attribute_18 is 0.34. The attribute_19 is 0.81. The attribute_20 is 0.82.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.23. The attribute_1 is 0.96. The attribute_2 is 0.85. The attribute_3 is 0.33. The attribute_4 is 0.78. The attribute_5 is 0.24. The attribute_6 is 0.75. The attribute_7 is 0.29. The attribute_8 is 0.73. The attribute_9 is 0.64. The attribute_10 is 0.55. The attribute_11 is 0.55. The attribute_12 is 0.94. The attribute_13 is 0.55. The attribute_14 is 0.39. The attribute_15 is 0.36. The attribute_16 is 0.56. The attribute_17 is 0.96. The attribute_18 is 0.63. The attribute_19 is 0.54. The attribute_20 is 0.74.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.3. The attribute_1 is 0.75. The attribute_2 is 0.52. The attribute_3 is 0.4. The attribute_4 is 0.4. The attribute_5 is 0.35. The attribute_6 is 0.88. The attribute_7 is 0.19. The attribute_8 is 0.7. The attribute_9 is 0.8. The attribute_10 is 0.61. The attribute_11 is 0.74. The attribute_12 is 0.62. The attribute_13 is 0.12. The attribute_14 is 0.47. The attribute_15 is 0.32. The attribute_16 is 0.52. The attribute_17 is 0.37. The attribute_18 is 0.03. The attribute_19 is 0.37. The attribute_20 is 0.56.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.08. The attribute_1 is 0.51. The attribute_2 is 0.83. The attribute_3 is 0.73. The attribute_4 is 0.55. The attribute_5 is 0.58. The attribute_6 is 0.77. The attribute_7 is 0.49. The attribute_8 is 0.95. The attribute_9 is 0.66. The attribute_10 is 0.82. The attribute_11 is 0.29. The attribute_12 is 0.4. The attribute_13 is 0.9. The attribute_14 is 0.48. The attribute_15 is 0.52. The attribute_16 is 0.62. The attribute_17 is 0.75. The attribute_18 is 0.69. The attribute_19 is 0.42. The attribute_20 is 0.76.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.96. The attribute_1 is 0.0. The attribute_2 is 0.01. The attribute_3 is 0.08. The attribute_4 is 0.99. The attribute_5 is 0.12. The attribute_6 is 0.02. The attribute_7 is 0.98. The attribute_8 is 0.02. The attribute_9 is 0.01. The attribute_10 is 0.03. The attribute_11 is 0.05. The attribute_12 is 0.78. The attribute_13 is 0.08. The attribute_14 is 0.67. The attribute_15 is 0.57. The attribute_16 is 0.99. The attribute_17 is 0.01. The attribute_18 is 0.89. The attribute_19 is 0.95. The attribute_20 is 0.06.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.06. The attribute_1 is 0.2. The attribute_2 is 0.31. The attribute_3 is 0.72. The attribute_4 is 0.08. The attribute_5 is 0.69. The attribute_6 is 0.43. The attribute_7 is 0.31. The attribute_8 is 0.55. The attribute_9 is 0.23. The attribute_10 is 0.04. The attribute_11 is 0.16. The attribute_12 is 0.11. The attribute_13 is 0.58. The attribute_14 is 0.08. The attribute_15 is 0.12. The attribute_16 is 0.15. The attribute_17 is 0.21. The attribute_18 is 0.34. The attribute_19 is 0.1. The attribute_20 is 0.15.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.73. The attribute_1 is 0.2. The attribute_2 is 0.36. The attribute_3 is 0.5. The attribute_4 is 0.26. The attribute_5 is 0.41. The attribute_6 is 0.22. The attribute_7 is 0.62. The attribute_8 is 0.16. The attribute_9 is 0.24. The attribute_10 is 0.15. The attribute_11 is 0.16. The attribute_12 is 0.68. The attribute_13 is 0.5. The attribute_14 is 0.47. The attribute_15 is 0.25. The attribute_16 is 0.47. The attribute_17 is 0.3. The attribute_18 is 0.74. The attribute_19 is 0.24. The attribute_20 is 0.01.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.76. The attribute_1 is 0.16. The attribute_2 is 0.19. The attribute_3 is 0.07. The attribute_4 is 0.19. The attribute_5 is 0.07. The attribute_6 is 0.17. The attribute_7 is 0.97. The attribute_8 is 0.16. The attribute_9 is 0.28. The attribute_10 is 0.3. The attribute_11 is 0.03. The attribute_12 is 0.78. The attribute_13 is 0.09. The attribute_14 is 0.83. The attribute_15 is 0.83. The attribute_16 is 0.17. The attribute_17 is 0.19. The attribute_18 is 0.68. The attribute_19 is 0.34. The attribute_20 is 0.23.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.24. The attribute_1 is 0.69. The attribute_2 is 0.52. The attribute_3 is 0.26. The attribute_4 is 0.38. The attribute_5 is 0.07. The attribute_6 is 0.84. The attribute_7 is 0.25. The attribute_8 is 0.61. The attribute_9 is 0.91. The attribute_10 is 0.73. The attribute_11 is 0.64. The attribute_12 is 0.61. The attribute_13 is 0.31. The attribute_14 is 0.39. The attribute_15 is 0.44. The attribute_16 is 0.3. The attribute_17 is 0.72. The attribute_18 is 0.5. The attribute_19 is 0.17. The attribute_20 is 0.54.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.48. The attribute_1 is 0.5. The attribute_2 is 0.49. The attribute_3 is 0.61. The attribute_4 is 0.44. The attribute_5 is 0.2. The attribute_6 is 0.28. The attribute_7 is 0.57. The attribute_8 is 0.46. The attribute_9 is 0.84. The attribute_10 is 0.95. The attribute_11 is 0.48. The attribute_12 is 0.89. The attribute_13 is 0.39. The attribute_14 is 0.68. The attribute_15 is 0.62. The attribute_16 is 0.27. The attribute_17 is 0.31. The attribute_18 is 0.85. The attribute_19 is 0.23. The attribute_20 is 0.91.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.37. The attribute_1 is 0.47. The attribute_2 is 0.48. The attribute_3 is 0.2. The attribute_4 is 0.2. The attribute_5 is 0.0. The attribute_6 is 0.65. The attribute_7 is 0.7. The attribute_8 is 0.68. The attribute_9 is 0.34. The attribute_10 is 0.33. The attribute_11 is 0.64. The attribute_12 is 0.1. The attribute_13 is 0.14. The attribute_14 is 0.11. The attribute_15 is 0.13. The attribute_16 is 0.31. The attribute_17 is 0.4. The attribute_18 is 0.55. The attribute_19 is 0.34. The attribute_20 is 0.35.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.33. The attribute_1 is 0.96. The attribute_2 is 0.98. The attribute_3 is 0.7. The attribute_4 is 0.96. The attribute_5 is 0.98. The attribute_6 is 0.92. The attribute_7 is 0.29. The attribute_8 is 0.94. The attribute_9 is 0.6. The attribute_10 is 0.7. The attribute_11 is 0.9. The attribute_12 is 0.99. The attribute_13 is 0.57. The attribute_14 is 0.84. The attribute_15 is 0.82. The attribute_16 is 0.98. The attribute_17 is 0.99. The attribute_18 is 0.03. The attribute_19 is 0.97. The attribute_20 is 0.96.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.45. The attribute_1 is 0.54. The attribute_2 is 0.63. The attribute_3 is 0.13. The attribute_4 is 0.48. The attribute_5 is 0.04. The attribute_6 is 0.42. The attribute_7 is 0.66. The attribute_8 is 0.54. The attribute_9 is 0.61. The attribute_10 is 0.51. The attribute_11 is 0.48. The attribute_12 is 0.65. The attribute_13 is 0.08. The attribute_14 is 0.52. The attribute_15 is 0.39. The attribute_16 is 0.61. The attribute_17 is 0.61. The attribute_18 is 0.72. The attribute_19 is 0.74. The attribute_20 is 0.55.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.8. The attribute_1 is 0.54. The attribute_2 is 0.0. The attribute_3 is 0.72. The attribute_4 is 0.02. The attribute_5 is 0.91. The attribute_6 is 0.06. The attribute_7 is 0.82. The attribute_8 is 0.0. The attribute_9 is 0.05. The attribute_10 is 0.05. The attribute_11 is 0.34. The attribute_12 is 0.67. The attribute_13 is 0.89. The attribute_14 is 0.42. The attribute_15 is 0.52. The attribute_16 is 0.02. The attribute_17 is 0.06. The attribute_18 is 0.35. The attribute_19 is 0.01. The attribute_20 is 0.14.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.64. The attribute_1 is 0.76. The attribute_2 is 0.51. The attribute_3 is 0.76. The attribute_4 is 0.79. The attribute_5 is 0.63. The attribute_6 is 0.46. The attribute_7 is 0.58. The attribute_8 is 0.52. The attribute_9 is 0.36. The attribute_10 is 0.3. The attribute_11 is 0.62. The attribute_12 is 0.21. The attribute_13 is 0.63. The attribute_14 is 0.18. The attribute_15 is 0.25. The attribute_16 is 0.61. The attribute_17 is 0.66. The attribute_18 is 0.64. The attribute_19 is 0.54. The attribute_20 is 0.46.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.93. The attribute_1 is 0.98. The attribute_2 is 0.65. The attribute_3 is 0.46. The attribute_4 is 0.5. The attribute_5 is 0.74. The attribute_6 is 0.85. The attribute_7 is 0.63. The attribute_8 is 0.53. The attribute_9 is 0.58. The attribute_10 is 0.91. The attribute_11 is 0.66. The attribute_12 is 0.71. The attribute_13 is 0.81. The attribute_14 is 0.71. The attribute_15 is 0.94. The attribute_16 is 0.63. The attribute_17 is 0.94. The attribute_18 is 0.54. The attribute_19 is 0.79. The attribute_20 is 0.79.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.66. The attribute_1 is 0.02. The attribute_2 is 0.16. The attribute_3 is 0.33. The attribute_4 is 0.85. The attribute_5 is 0.05. The attribute_6 is 0.04. The attribute_7 is 0.89. The attribute_8 is 0.0. The attribute_9 is 0.1. The attribute_10 is 0.15. The attribute_11 is 0.01. The attribute_12 is 0.34. The attribute_13 is 0.2. The attribute_14 is 0.78. The attribute_15 is 0.94. The attribute_16 is 0.67. The attribute_17 is 0.05. The attribute_18 is 0.9. The attribute_19 is 0.81. The attribute_20 is 0.01.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.21. The attribute_1 is 0.1. The attribute_2 is 0.04. The attribute_3 is 0.86. The attribute_4 is 0.33. The attribute_5 is 0.75. The attribute_6 is 0.53. The attribute_7 is 0.12. The attribute_8 is 0.38. The attribute_9 is 0.02. The attribute_10 is 0.02. The attribute_11 is 0.63. The attribute_12 is 0.07. The attribute_13 is 0.88. The attribute_14 is 0.38. The attribute_15 is 0.27. The attribute_16 is 0.3. The attribute_17 is 0.01. The attribute_18 is 0.1. The attribute_19 is 0.17. The attribute_20 is 0.06.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.34. The attribute_1 is 0.9. The attribute_2 is 0.73. The attribute_3 is 0.39. The attribute_4 is 0.34. The attribute_5 is 0.29. The attribute_6 is 0.04. The attribute_7 is 0.77. The attribute_8 is 0.68. The attribute_9 is 0.76. The attribute_10 is 0.74. The attribute_11 is 0.21. The attribute_12 is 0.69. The attribute_13 is 0.27. The attribute_14 is 0.66. The attribute_15 is 0.22. The attribute_16 is 0.43. The attribute_17 is 0.98. The attribute_18 is 0.53. The attribute_19 is 0.54. The attribute_20 is 0.57.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.67. The attribute_1 is 0.42. The attribute_2 is 0.32. The attribute_3 is 0.16. The attribute_4 is 0.44. The attribute_5 is 0.01. The attribute_6 is 1.0. The attribute_7 is 0.84. The attribute_8 is 0.96. The attribute_9 is 0.24. The attribute_10 is 0.59. The attribute_11 is 0.98. The attribute_12 is 0.69. The attribute_13 is 0.09. The attribute_14 is 0.7. The attribute_15 is 0.68. The attribute_16 is 0.36. The attribute_17 is 0.18. The attribute_18 is 0.89. The attribute_19 is 0.71. The attribute_20 is 0.59.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.76. The attribute_1 is 0.53. The attribute_2 is 0.19. The attribute_3 is 0.16. The attribute_4 is 0.38. The attribute_5 is 0.35. The attribute_6 is 0.13. The attribute_7 is 0.56. The attribute_8 is 0.05. The attribute_9 is 0.25. The attribute_10 is 0.7. The attribute_11 is 0.32. The attribute_12 is 0.57. The attribute_13 is 0.39. The attribute_14 is 0.94. The attribute_15 is 0.99. The attribute_16 is 0.68. The attribute_17 is 0.51. The attribute_18 is 0.33. The attribute_19 is 0.75. The attribute_20 is 0.61.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.92. The attribute_1 is 0.05. The attribute_2 is 0.06. The attribute_3 is 0.01. The attribute_4 is 0.52. The attribute_5 is 0.05. The attribute_6 is 0.04. The attribute_7 is 0.95. The attribute_8 is 0.07. The attribute_9 is 0.76. The attribute_10 is 0.72. The attribute_11 is 0.09. The attribute_12 is 0.23. The attribute_13 is 0.02. The attribute_14 is 0.12. The attribute_15 is 0.28. The attribute_16 is 0.63. The attribute_17 is 0.02. The attribute_18 is 0.99. The attribute_19 is 0.6. The attribute_20 is 0.81.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.16. The attribute_1 is 0.95. The attribute_2 is 0.81. The attribute_3 is 0.68. The attribute_4 is 0.73. The attribute_5 is 0.71. The attribute_6 is 0.9. The attribute_7 is 0.2. The attribute_8 is 0.96. The attribute_9 is 0.59. The attribute_10 is 0.87. The attribute_11 is 0.98. The attribute_12 is 0.08. The attribute_13 is 0.85. The attribute_14 is 0.08. The attribute_15 is 0.17. The attribute_16 is 0.7. The attribute_17 is 0.91. The attribute_18 is 0.24. The attribute_19 is 0.81. The attribute_20 is 0.96.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.28. The attribute_1 is 0.76. The attribute_2 is 0.91. The attribute_3 is 0.4. The attribute_4 is 0.88. The attribute_5 is 0.86. The attribute_6 is 0.33. The attribute_7 is 0.0. The attribute_8 is 0.78. The attribute_9 is 0.56. The attribute_10 is 0.16. The attribute_11 is 0.36. The attribute_12 is 0.12. The attribute_13 is 0.78. The attribute_14 is 0.07. The attribute_15 is 0.34. The attribute_16 is 0.98. The attribute_17 is 0.89. The attribute_18 is 0.13. The attribute_19 is 0.87. The attribute_20 is 0.16.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.75. The attribute_1 is 0.02. The attribute_2 is 0.65. The attribute_3 is 0.77. The attribute_4 is 0.16. The attribute_5 is 0.81. The attribute_6 is 0.79. The attribute_7 is 0.25. The attribute_8 is 0.87. The attribute_9 is 0.98. The attribute_10 is 0.92. The attribute_11 is 0.81. The attribute_12 is 0.48. The attribute_13 is 0.89. The attribute_14 is 0.33. The attribute_15 is 0.68. The attribute_16 is 0.15. The attribute_17 is 0.25. The attribute_18 is 0.3. The attribute_19 is 0.26. The attribute_20 is 0.93.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.03. The attribute_1 is 0.84. The attribute_2 is 0.89. The attribute_3 is 0.56. The attribute_4 is 0.61. The attribute_5 is 0.26. The attribute_6 is 0.9. The attribute_7 is 0.0. The attribute_8 is 0.88. The attribute_9 is 0.74. The attribute_10 is 0.54. The attribute_11 is 0.9. The attribute_12 is 0.62. The attribute_13 is 0.51. The attribute_14 is 0.51. The attribute_15 is 0.44. The attribute_16 is 0.35. The attribute_17 is 0.82. The attribute_18 is 0.06. The attribute_19 is 0.43. The attribute_20 is 0.55.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.83. The attribute_1 is 0.45. The attribute_2 is 0.33. The attribute_3 is 0.46. The attribute_4 is 0.99. The attribute_5 is 0.96. The attribute_6 is 0.21. The attribute_7 is 0.74. The attribute_8 is 0.32. The attribute_9 is 0.36. The attribute_10 is 0.28. The attribute_11 is 0.34. The attribute_12 is 0.89. The attribute_13 is 0.39. The attribute_14 is 0.82. The attribute_15 is 0.69. The attribute_16 is 0.63. The attribute_17 is 0.21. The attribute_18 is 0.35. The attribute_19 is 0.6. The attribute_20 is 0.14.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.0. The attribute_1 is 0.9. The attribute_2 is 0.97. The attribute_3 is 0.98. The attribute_4 is 0.12. The attribute_5 is 1.0. The attribute_6 is 0.85. The attribute_7 is 0.02. The attribute_8 is 0.88. The attribute_9 is 0.06. The attribute_10 is 0.04. The attribute_11 is 1.0. The attribute_12 is 0.13. The attribute_13 is 0.91. The attribute_14 is 0.37. The attribute_15 is 0.02. The attribute_16 is 0.45. The attribute_17 is 0.94. The attribute_18 is 0.02. The attribute_19 is 0.07. The attribute_20 is 0.04.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.46. The attribute_1 is 0.16. The attribute_2 is 0.22. The attribute_3 is 0.23. The attribute_4 is 0.24. The attribute_5 is 0.08. The attribute_6 is 0.11. The attribute_7 is 0.76. The attribute_8 is 0.56. The attribute_9 is 0.52. The attribute_10 is 0.61. The attribute_11 is 0.2. The attribute_12 is 0.43. The attribute_13 is 0.14. The attribute_14 is 0.7. The attribute_15 is 0.88. The attribute_16 is 0.37. The attribute_17 is 0.21. The attribute_18 is 0.74. The attribute_19 is 0.45. The attribute_20 is 0.86.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.83. The attribute_1 is 0.43. The attribute_2 is 0.48. The attribute_3 is 0.35. The attribute_4 is 0.91. The attribute_5 is 0.13. The attribute_6 is 0.46. The attribute_7 is 0.95. The attribute_8 is 0.62. The attribute_9 is 0.85. The attribute_10 is 0.69. The attribute_11 is 0.64. The attribute_12 is 0.93. The attribute_13 is 0.24. The attribute_14 is 0.94. The attribute_15 is 0.99. The attribute_16 is 0.96. The attribute_17 is 0.28. The attribute_18 is 0.97. The attribute_19 is 0.94. The attribute_20 is 0.79.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.28. The attribute_1 is 0.6. The attribute_2 is 0.84. The attribute_3 is 0.34. The attribute_4 is 0.7. The attribute_5 is 0.12. The attribute_6 is 0.84. The attribute_7 is 0.57. The attribute_8 is 0.87. The attribute_9 is 0.4. The attribute_10 is 0.65. The attribute_11 is 0.75. The attribute_12 is 0.79. The attribute_13 is 0.14. The attribute_14 is 0.76. The attribute_15 is 0.56. The attribute_16 is 0.67. The attribute_17 is 0.82. The attribute_18 is 0.89. The attribute_19 is 0.86. The attribute_20 is 0.49.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.75. The attribute_1 is 0.26. The attribute_2 is 0.23. The attribute_3 is 0.46. The attribute_4 is 0.65. The attribute_5 is 0.68. The attribute_6 is 0.37. The attribute_7 is 0.64. The attribute_8 is 0.27. The attribute_9 is 0.5. The attribute_10 is 0.3. The attribute_11 is 0.37. The attribute_12 is 0.33. The attribute_13 is 0.7. The attribute_14 is 0.14. The attribute_15 is 0.44. The attribute_16 is 0.38. The attribute_17 is 0.2. The attribute_18 is 0.57. The attribute_19 is 0.26. The attribute_20 is 0.54.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.8. The attribute_1 is 0.72. The attribute_2 is 0.58. The attribute_3 is 0.9. The attribute_4 is 0.24. The attribute_5 is 0.73. The attribute_6 is 0.35. The attribute_7 is 0.89. The attribute_8 is 0.3. The attribute_9 is 0.43. The attribute_10 is 0.46. The attribute_11 is 0.48. The attribute_12 is 0.08. The attribute_13 is 0.84. The attribute_14 is 0.08. The attribute_15 is 0.1. The attribute_16 is 0.49. The attribute_17 is 0.7. The attribute_18 is 0.79. The attribute_19 is 0.43. The attribute_20 is 0.77.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.49. The attribute_1 is 0.37. The attribute_2 is 0.59. The attribute_3 is 0.3. The attribute_4 is 0.3. The attribute_5 is 0.29. The attribute_6 is 0.72. The attribute_7 is 0.65. The attribute_8 is 0.83. The attribute_9 is 0.58. The attribute_10 is 0.59. The attribute_11 is 0.58. The attribute_12 is 0.8. The attribute_13 is 0.34. The attribute_14 is 0.85. The attribute_15 is 0.85. The attribute_16 is 0.43. The attribute_17 is 0.63. The attribute_18 is 0.67. The attribute_19 is 0.61. The attribute_20 is 0.58.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.14. The attribute_1 is 0.89. The attribute_2 is 0.95. The attribute_3 is 0.91. The attribute_4 is 0.04. The attribute_5 is 0.93. The attribute_6 is 0.84. The attribute_7 is 0.24. The attribute_8 is 0.91. The attribute_9 is 0.98. The attribute_10 is 0.89. The attribute_11 is 0.87. The attribute_12 is 0.04. The attribute_13 is 0.95. The attribute_14 is 0.57. The attribute_15 is 0.5. The attribute_16 is 0.47. The attribute_17 is 0.97. The attribute_18 is 0.12. The attribute_19 is 0.26. The attribute_20 is 0.9.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.15. The attribute_1 is 0.29. The attribute_2 is 0.34. The attribute_3 is 0.86. The attribute_4 is 0.08. The attribute_5 is 0.56. The attribute_6 is 0.65. The attribute_7 is 0.35. The attribute_8 is 0.6. The attribute_9 is 0.73. The attribute_10 is 0.82. The attribute_11 is 0.64. The attribute_12 is 0.29. The attribute_13 is 0.58. The attribute_14 is 0.32. The attribute_15 is 0.32. The attribute_16 is 0.07. The attribute_17 is 0.42. The attribute_18 is 0.61. The attribute_19 is 0.03. The attribute_20 is 0.8.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.55. The attribute_1 is 0.78. The attribute_2 is 0.82. The attribute_3 is 0.25. The attribute_4 is 0.45. The attribute_5 is 0.24. The attribute_6 is 0.69. The attribute_7 is 0.25. The attribute_8 is 0.7. The attribute_9 is 0.2. The attribute_10 is 0.15. The attribute_11 is 0.44. The attribute_12 is 0.97. The attribute_13 is 0.38. The attribute_14 is 0.91. The attribute_15 is 0.95. The attribute_16 is 0.55. The attribute_17 is 0.84. The attribute_18 is 0.17. The attribute_19 is 0.31. The attribute_20 is 0.01.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.63. The attribute_1 is 0.37. The attribute_2 is 0.28. The attribute_3 is 0.15. The attribute_4 is 0.36. The attribute_5 is 0.17. The attribute_6 is 0.19. The attribute_7 is 0.66. The attribute_8 is 0.48. The attribute_9 is 0.22. The attribute_10 is 0.27. The attribute_11 is 0.5. The attribute_12 is 0.17. The attribute_13 is 0.19. The attribute_14 is 0.38. The attribute_15 is 0.23. The attribute_16 is 0.73. The attribute_17 is 0.28. The attribute_18 is 0.52. The attribute_19 is 0.59. The attribute_20 is 0.35.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.35. The attribute_1 is 0.16. The attribute_2 is 0.23. The attribute_3 is 0.97. The attribute_4 is 0.98. The attribute_5 is 0.87. The attribute_6 is 0.13. The attribute_7 is 0.33. The attribute_8 is 0.21. The attribute_9 is 0.33. The attribute_10 is 0.17. The attribute_11 is 0.24. The attribute_12 is 0.8. The attribute_13 is 0.97. The attribute_14 is 0.54. The attribute_15 is 0.82. The attribute_16 is 1.0. The attribute_17 is 0.09. The attribute_18 is 0.48. The attribute_19 is 0.96. The attribute_20 is 0.29.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.79. The attribute_1 is 0.84. The attribute_2 is 0.74. The attribute_3 is 0.02. The attribute_4 is 0.18. The attribute_5 is 0.18. The attribute_6 is 0.35. The attribute_7 is 0.89. The attribute_8 is 0.24. The attribute_9 is 0.71. The attribute_10 is 0.75. The attribute_11 is 0.42. The attribute_12 is 0.17. The attribute_13 is 0.07. The attribute_14 is 0.1. The attribute_15 is 0.16. The attribute_16 is 0.07. The attribute_17 is 0.82. The attribute_18 is 0.81. The attribute_19 is 0.04. The attribute_20 is 0.58.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.58. The attribute_1 is 0.87. The attribute_2 is 0.46. The attribute_3 is 0.98. The attribute_4 is 0.94. The attribute_5 is 0.87. The attribute_6 is 0.75. The attribute_7 is 0.4. The attribute_8 is 0.52. The attribute_9 is 0.34. The attribute_10 is 0.82. The attribute_11 is 0.7. The attribute_12 is 0.9. The attribute_13 is 0.99. The attribute_14 is 0.73. The attribute_15 is 0.54. The attribute_16 is 0.75. The attribute_17 is 0.78. The attribute_18 is 0.58. The attribute_19 is 0.8. The attribute_20 is 0.85.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.23. The attribute_1 is 0.29. The attribute_2 is 0.22. The attribute_3 is 0.52. The attribute_4 is 0.28. The attribute_5 is 0.64. The attribute_6 is 0.27. The attribute_7 is 0.73. The attribute_8 is 0.6. The attribute_9 is 0.85. The attribute_10 is 0.94. The attribute_11 is 0.29. The attribute_12 is 0.93. The attribute_13 is 0.58. The attribute_14 is 0.74. The attribute_15 is 1.0. The attribute_16 is 0.19. The attribute_17 is 0.23. The attribute_18 is 0.67. The attribute_19 is 0.26. The attribute_20 is 0.8.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.28. The attribute_1 is 0.98. The attribute_2 is 0.98. The attribute_3 is 0.73. The attribute_4 is 0.8. The attribute_5 is 0.58. The attribute_6 is 0.78. The attribute_7 is 0.37. The attribute_8 is 0.79. The attribute_9 is 0.13. The attribute_10 is 0.13. The attribute_11 is 0.43. The attribute_12 is 0.11. The attribute_13 is 0.58. The attribute_14 is 0.0. The attribute_15 is 0.05. The attribute_16 is 0.64. The attribute_17 is 0.94. The attribute_18 is 0.66. The attribute_19 is 0.82. The attribute_20 is 0.31.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.34. The attribute_1 is 0.25. The attribute_2 is 0.78. The attribute_3 is 0.95. The attribute_4 is 0.25. The attribute_5 is 0.99. The attribute_6 is 0.53. The attribute_7 is 0.26. The attribute_8 is 0.6. The attribute_9 is 0.94. The attribute_10 is 0.89. The attribute_11 is 0.28. The attribute_12 is 0.94. The attribute_13 is 0.93. The attribute_14 is 0.81. The attribute_15 is 0.61. The attribute_16 is 0.29. The attribute_17 is 0.75. The attribute_18 is 0.89. The attribute_19 is 0.3. The attribute_20 is 0.92.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.43. The attribute_1 is 0.89. The attribute_2 is 0.78. The attribute_3 is 0.69. The attribute_4 is 0.04. The attribute_5 is 0.76. The attribute_6 is 0.99. The attribute_7 is 0.21. The attribute_8 is 0.97. The attribute_9 is 0.78. The attribute_10 is 0.85. The attribute_11 is 0.98. The attribute_12 is 0.04. The attribute_13 is 0.69. The attribute_14 is 0.11. The attribute_15 is 0.46. The attribute_16 is 0.1. The attribute_17 is 0.99. The attribute_18 is 0.19. The attribute_19 is 0.37. The attribute_20 is 0.85.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.45. The attribute_1 is 0.98. The attribute_2 is 0.43. The attribute_3 is 0.42. The attribute_4 is 0.79. The attribute_5 is 0.49. The attribute_6 is 0.32. The attribute_7 is 0.57. The attribute_8 is 0.34. The attribute_9 is 0.48. The attribute_10 is 0.69. The attribute_11 is 0.49. The attribute_12 is 0.39. The attribute_13 is 0.45. The attribute_14 is 0.67. The attribute_15 is 0.69. The attribute_16 is 0.83. The attribute_17 is 0.62. The attribute_18 is 0.33. The attribute_19 is 0.93. The attribute_20 is 0.41.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.79. The attribute_1 is 0.37. The attribute_2 is 0.18. The attribute_3 is 0.19. The attribute_4 is 0.9. The attribute_5 is 0.1. The attribute_6 is 0.0. The attribute_7 is 0.99. The attribute_8 is 0.11. The attribute_9 is 0.24. The attribute_10 is 0.41. The attribute_11 is 0.12. The attribute_12 is 0.91. The attribute_13 is 0.46. The attribute_14 is 0.53. The attribute_15 is 0.69. The attribute_16 is 0.25. The attribute_17 is 0.15. The attribute_18 is 0.9. The attribute_19 is 0.41. The attribute_20 is 0.11.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.32. The attribute_1 is 0.77. The attribute_2 is 0.67. The attribute_3 is 0.47. The attribute_4 is 0.73. The attribute_5 is 0.96. The attribute_6 is 0.53. The attribute_7 is 0.33. The attribute_8 is 0.53. The attribute_9 is 0.59. The attribute_10 is 0.76. The attribute_11 is 0.22. The attribute_12 is 0.49. The attribute_13 is 0.94. The attribute_14 is 0.53. The attribute_15 is 0.95. The attribute_16 is 0.77. The attribute_17 is 0.93. The attribute_18 is 0.22. The attribute_19 is 0.78. The attribute_20 is 0.72.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.39. The attribute_1 is 0.06. The attribute_2 is 0.07. The attribute_3 is 0.9. The attribute_4 is 0.72. The attribute_5 is 0.99. The attribute_6 is 0.66. The attribute_7 is 0.23. The attribute_8 is 0.39. The attribute_9 is 0.11. The attribute_10 is 0.14. The attribute_11 is 0.25. The attribute_12 is 0.42. The attribute_13 is 0.9. The attribute_14 is 0.61. The attribute_15 is 0.97. The attribute_16 is 0.3. The attribute_17 is 0.15. The attribute_18 is 0.14. The attribute_19 is 0.33. The attribute_20 is 0.31.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.89. The attribute_1 is 0.33. The attribute_2 is 0.17. The attribute_3 is 0.1. The attribute_4 is 0.64. The attribute_5 is 0.3. The attribute_6 is 0.27. The attribute_7 is 0.61. The attribute_8 is 0.18. The attribute_9 is 0.54. The attribute_10 is 0.56. The attribute_11 is 0.29. The attribute_12 is 0.34. The attribute_13 is 0.22. The attribute_14 is 0.58. The attribute_15 is 0.57. The attribute_16 is 0.48. The attribute_17 is 0.4. The attribute_18 is 0.64. The attribute_19 is 0.31. The attribute_20 is 0.77.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.49. The attribute_1 is 0.82. The attribute_2 is 0.85. The attribute_3 is 0.81. The attribute_4 is 0.08. The attribute_5 is 0.96. The attribute_6 is 0.71. The attribute_7 is 0.48. The attribute_8 is 0.6. The attribute_9 is 0.8. The attribute_10 is 0.72. The attribute_11 is 0.59. The attribute_12 is 0.28. The attribute_13 is 0.97. The attribute_14 is 0.12. The attribute_15 is 0.21. The attribute_16 is 0.09. The attribute_17 is 0.83. The attribute_18 is 0.34. The attribute_19 is 0.0. The attribute_20 is 0.71.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.77. The attribute_1 is 0.15. The attribute_2 is 0.55. The attribute_3 is 0.4. The attribute_4 is 0.05. The attribute_5 is 0.4. The attribute_6 is 0.01. The attribute_7 is 0.92. The attribute_8 is 0.04. The attribute_9 is 0.62. The attribute_10 is 0.67. The attribute_11 is 0.02. The attribute_12 is 0.04. The attribute_13 is 0.56. The attribute_14 is 0.07. The attribute_15 is 0.06. The attribute_16 is 0.13. The attribute_17 is 0.23. The attribute_18 is 0.91. The attribute_19 is 0.12. The attribute_20 is 0.43.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.2. The attribute_1 is 0.56. The attribute_2 is 0.71. The attribute_3 is 0.54. The attribute_4 is 0.68. The attribute_5 is 0.15. The attribute_6 is 0.39. The attribute_7 is 0.61. The attribute_8 is 0.69. The attribute_9 is 0.73. The attribute_10 is 0.35. The attribute_11 is 0.31. The attribute_12 is 0.69. The attribute_13 is 0.28. The attribute_14 is 0.9. The attribute_15 is 0.95. The attribute_16 is 0.82. The attribute_17 is 0.46. The attribute_18 is 0.54. The attribute_19 is 0.9. The attribute_20 is 0.66.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.41. The attribute_1 is 0.9. The attribute_2 is 0.94. The attribute_3 is 0.95. The attribute_4 is 0.01. The attribute_5 is 0.93. The attribute_6 is 0.61. The attribute_7 is 0.32. The attribute_8 is 0.55. The attribute_9 is 0.34. The attribute_10 is 0.53. The attribute_11 is 0.6. The attribute_12 is 0.4. The attribute_13 is 0.9. The attribute_14 is 0.52. The attribute_15 is 0.32. The attribute_16 is 0.61. The attribute_17 is 0.91. The attribute_18 is 0.6. The attribute_19 is 0.75. The attribute_20 is 0.54.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.29. The attribute_1 is 0.89. The attribute_2 is 1.0. The attribute_3 is 0.94. The attribute_4 is 0.4. The attribute_5 is 0.78. The attribute_6 is 0.88. The attribute_7 is 0.32. The attribute_8 is 0.88. The attribute_9 is 0.59. The attribute_10 is 0.75. The attribute_11 is 0.74. The attribute_12 is 0.62. The attribute_13 is 0.88. The attribute_14 is 0.32. The attribute_15 is 0.26. The attribute_16 is 0.12. The attribute_17 is 0.98. The attribute_18 is 0.85. The attribute_19 is 0.23. The attribute_20 is 0.62.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.72. The attribute_1 is 0.41. The attribute_2 is 0.46. The attribute_3 is 0.21. The attribute_4 is 0.79. The attribute_5 is 0.3. The attribute_6 is 0.2. The attribute_7 is 0.78. The attribute_8 is 0.32. The attribute_9 is 0.21. The attribute_10 is 0.11. The attribute_11 is 0.19. The attribute_12 is 0.97. The attribute_13 is 0.14. The attribute_14 is 0.87. The attribute_15 is 0.83. The attribute_16 is 0.81. The attribute_17 is 0.39. The attribute_18 is 0.81. The attribute_19 is 0.93. The attribute_20 is 0.26.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.6. The attribute_1 is 0.32. The attribute_2 is 0.2. The attribute_3 is 0.15. The attribute_4 is 0.75. The attribute_5 is 0.29. The attribute_6 is 0.43. The attribute_7 is 0.71. The attribute_8 is 0.06. The attribute_9 is 0.68. The attribute_10 is 0.92. The attribute_11 is 0.45. The attribute_12 is 0.78. The attribute_13 is 0.29. The attribute_14 is 0.86. The attribute_15 is 0.71. The attribute_16 is 0.74. The attribute_17 is 0.7. The attribute_18 is 0.81. The attribute_19 is 0.36. The attribute_20 is 0.87.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.43. The attribute_1 is 0.66. The attribute_2 is 0.7. The attribute_3 is 0.26. The attribute_4 is 0.51. The attribute_5 is 0.47. The attribute_6 is 0.66. The attribute_7 is 0.38. The attribute_8 is 0.76. The attribute_9 is 0.73. The attribute_10 is 0.85. The attribute_11 is 0.59. The attribute_12 is 0.38. The attribute_13 is 0.42. The attribute_14 is 0.41. The attribute_15 is 0.73. The attribute_16 is 0.6. The attribute_17 is 0.61. The attribute_18 is 0.36. The attribute_19 is 0.48. The attribute_20 is 0.88.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.68. The attribute_1 is 0.6. The attribute_2 is 0.6. The attribute_3 is 0.2. The attribute_4 is 0.85. The attribute_5 is 0.29. The attribute_6 is 0.25. The attribute_7 is 0.82. The attribute_8 is 0.32. The attribute_9 is 0.93. The attribute_10 is 0.57. The attribute_11 is 0.35. The attribute_12 is 0.98. The attribute_13 is 0.27. The attribute_14 is 0.89. The attribute_15 is 1.0. The attribute_16 is 0.75. The attribute_17 is 0.69. The attribute_18 is 0.54. The attribute_19 is 0.75. The attribute_20 is 0.38.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.79. The attribute_1 is 0.04. The attribute_2 is 0.25. The attribute_3 is 0.07. The attribute_4 is 0.72. The attribute_5 is 0.04. The attribute_6 is 0.12. The attribute_7 is 0.99. The attribute_8 is 0.19. The attribute_9 is 0.76. The attribute_10 is 0.74. The attribute_11 is 0.09. The attribute_12 is 0.64. The attribute_13 is 0.17. The attribute_14 is 0.69. The attribute_15 is 0.66. The attribute_16 is 0.7. The attribute_17 is 0.1. The attribute_18 is 0.96. The attribute_19 is 0.55. The attribute_20 is 0.71.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.7. The attribute_1 is 0.95. The attribute_2 is 0.63. The attribute_3 is 0.55. The attribute_4 is 0.07. The attribute_5 is 0.35. The attribute_6 is 0.27. The attribute_7 is 0.56. The attribute_8 is 0.44. The attribute_9 is 0.3. The attribute_10 is 0.62. The attribute_11 is 0.09. The attribute_12 is 0.05. The attribute_13 is 0.61. The attribute_14 is 0.51. The attribute_15 is 0.45. The attribute_16 is 0.36. The attribute_17 is 0.55. The attribute_18 is 0.87. The attribute_19 is 0.44. The attribute_20 is 0.98.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.55. The attribute_1 is 0.86. The attribute_2 is 0.76. The attribute_3 is 0.55. The attribute_4 is 0.86. The attribute_5 is 0.49. The attribute_6 is 0.63. The attribute_7 is 0.34. The attribute_8 is 0.67. The attribute_9 is 0.82. The attribute_10 is 0.7. The attribute_11 is 0.47. The attribute_12 is 0.31. The attribute_13 is 0.43. The attribute_14 is 0.37. The attribute_15 is 0.34. The attribute_16 is 0.74. The attribute_17 is 0.65. The attribute_18 is 0.69. The attribute_19 is 0.56. The attribute_20 is 0.2.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.34. The attribute_1 is 0.52. The attribute_2 is 0.91. The attribute_3 is 0.81. The attribute_4 is 0.1. The attribute_5 is 0.51. The attribute_6 is 0.97. The attribute_7 is 0.39. The attribute_8 is 0.95. The attribute_9 is 0.51. The attribute_10 is 0.21. The attribute_11 is 0.93. The attribute_12 is 0.38. The attribute_13 is 0.88. The attribute_14 is 0.19. The attribute_15 is 0.51. The attribute_16 is 0.12. The attribute_17 is 0.82. The attribute_18 is 0.15. The attribute_19 is 0.06. The attribute_20 is 0.27.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.06. The attribute_1 is 0.88. The attribute_2 is 0.92. The attribute_3 is 0.17. The attribute_4 is 0.99. The attribute_5 is 0.21. The attribute_6 is 0.88. The attribute_7 is 0.3. The attribute_8 is 0.96. The attribute_9 is 0.86. The attribute_10 is 0.89. The attribute_11 is 0.72. The attribute_12 is 0.44. The attribute_13 is 0.1. The attribute_14 is 0.42. The attribute_15 is 0.41. The attribute_16 is 0.87. The attribute_17 is 0.84. The attribute_18 is 0.2. The attribute_19 is 0.9. The attribute_20 is 0.96.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.4. The attribute_1 is 0.7. The attribute_2 is 0.58. The attribute_3 is 0.39. The attribute_4 is 0.23. The attribute_5 is 0.48. The attribute_6 is 0.58. The attribute_7 is 0.31. The attribute_8 is 0.67. The attribute_9 is 0.58. The attribute_10 is 0.6. The attribute_11 is 0.74. The attribute_12 is 0.04. The attribute_13 is 0.31. The attribute_14 is 0.06. The attribute_15 is 0.08. The attribute_16 is 0.61. The attribute_17 is 0.47. The attribute_18 is 0.39. The attribute_19 is 0.67. The attribute_20 is 0.42.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.55. The attribute_1 is 0.85. The attribute_2 is 0.78. The attribute_3 is 0.74. The attribute_4 is 0.59. The attribute_5 is 0.17. The attribute_6 is 0.56. The attribute_7 is 0.62. The attribute_8 is 0.73. The attribute_9 is 0.71. The attribute_10 is 0.91. The attribute_11 is 0.43. The attribute_12 is 0.33. The attribute_13 is 0.7. The attribute_14 is 0.47. The attribute_15 is 0.81. The attribute_16 is 0.65. The attribute_17 is 0.79. The attribute_18 is 0.84. The attribute_19 is 1.0. The attribute_20 is 0.86.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.16. The attribute_1 is 1.0. The attribute_2 is 0.95. The attribute_3 is 0.98. The attribute_4 is 0.17. The attribute_5 is 0.76. The attribute_6 is 0.93. The attribute_7 is 0.33. The attribute_8 is 0.95. The attribute_9 is 0.02. The attribute_10 is 0.0. The attribute_11 is 0.96. The attribute_12 is 0.1. The attribute_13 is 0.94. The attribute_14 is 0.11. The attribute_15 is 0.01. The attribute_16 is 0.15. The attribute_17 is 0.98. The attribute_18 is 0.28. The attribute_19 is 0.09. The attribute_20 is 0.0.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.24. The attribute_1 is 0.09. The attribute_2 is 0.09. The attribute_3 is 0.65. The attribute_4 is 0.08. The attribute_5 is 0.65. The attribute_6 is 0.14. The attribute_7 is 0.58. The attribute_8 is 0.22. The attribute_9 is 0.05. The attribute_10 is 0.04. The attribute_11 is 0.1. The attribute_12 is 0.2. The attribute_13 is 0.63. The attribute_14 is 0.22. The attribute_15 is 0.0. The attribute_16 is 0.25. The attribute_17 is 0.14. The attribute_18 is 0.85. The attribute_19 is 0.03. The attribute_20 is 0.09.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.32. The attribute_1 is 0.96. The attribute_2 is 0.84. The attribute_3 is 0.61. The attribute_4 is 0.64. The attribute_5 is 0.72. The attribute_6 is 0.72. The attribute_7 is 0.32. The attribute_8 is 0.79. The attribute_9 is 0.85. The attribute_10 is 0.72. The attribute_11 is 0.8. The attribute_12 is 0.38. The attribute_13 is 0.59. The attribute_14 is 0.38. The attribute_15 is 0.35. The attribute_16 is 0.71. The attribute_17 is 0.77. The attribute_18 is 0.48. The attribute_19 is 0.53. The attribute_20 is 0.83.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.33. The attribute_1 is 0.37. The attribute_2 is 0.23. The attribute_3 is 0.25. The attribute_4 is 0.44. The attribute_5 is 0.36. The attribute_6 is 0.18. The attribute_7 is 0.5. The attribute_8 is 0.38. The attribute_9 is 0.0. The attribute_10 is 0.17. The attribute_11 is 0.21. The attribute_12 is 0.81. The attribute_13 is 0.21. The attribute_14 is 0.92. The attribute_15 is 0.8. The attribute_16 is 0.89. The attribute_17 is 0.21. The attribute_18 is 0.96. The attribute_19 is 0.71. The attribute_20 is 0.2.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.86. The attribute_1 is 0.32. The attribute_2 is 0.42. The attribute_3 is 0.33. The attribute_4 is 0.73. The attribute_5 is 0.12. The attribute_6 is 0.25. The attribute_7 is 0.94. The attribute_8 is 0.36. The attribute_9 is 0.75. The attribute_10 is 0.32. The attribute_11 is 0.37. The attribute_12 is 0.61. The attribute_13 is 0.04. The attribute_14 is 0.68. The attribute_15 is 0.84. The attribute_16 is 0.81. The attribute_17 is 0.37. The attribute_18 is 0.96. The attribute_19 is 0.85. The attribute_20 is 0.49.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.43. The attribute_1 is 0.02. The attribute_2 is 0.34. The attribute_3 is 0.15. The attribute_4 is 0.64. The attribute_5 is 0.1. The attribute_6 is 0.37. The attribute_7 is 0.63. The attribute_8 is 0.53. The attribute_9 is 0.16. The attribute_10 is 0.05. The attribute_11 is 0.44. The attribute_12 is 0.89. The attribute_13 is 0.17. The attribute_14 is 0.98. The attribute_15 is 0.85. The attribute_16 is 0.46. The attribute_17 is 0.02. The attribute_18 is 0.81. The attribute_19 is 0.48. The attribute_20 is 0.07.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.4. The attribute_1 is 0.28. The attribute_2 is 0.19. The attribute_3 is 0.18. The attribute_4 is 0.8. The attribute_5 is 0.26. The attribute_6 is 0.12. The attribute_7 is 0.1. The attribute_8 is 0.04. The attribute_9 is 0.05. The attribute_10 is 0.0. The attribute_11 is 0.19. The attribute_12 is 0.45. The attribute_13 is 0.55. The attribute_14 is 0.48. The attribute_15 is 0.63. The attribute_16 is 0.6. The attribute_17 is 0.3. The attribute_18 is 0.34. The attribute_19 is 0.68. The attribute_20 is 0.02.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.62. The attribute_1 is 0.54. The attribute_2 is 0.14. The attribute_3 is 0.21. The attribute_4 is 0.69. The attribute_5 is 0.13. The attribute_6 is 0.36. The attribute_7 is 0.55. The attribute_8 is 0.32. The attribute_9 is 0.38. The attribute_10 is 0.32. The attribute_11 is 0.29. The attribute_12 is 0.71. The attribute_13 is 0.54. The attribute_14 is 0.64. The attribute_15 is 0.74. The attribute_16 is 0.47. The attribute_17 is 0.2. The attribute_18 is 0.36. The attribute_19 is 0.54. The attribute_20 is 0.6.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.55. The attribute_1 is 0.62. The attribute_2 is 0.49. The attribute_3 is 0.59. The attribute_4 is 0.18. The attribute_5 is 0.53. The attribute_6 is 0.47. The attribute_7 is 0.4. The attribute_8 is 0.42. The attribute_9 is 0.47. The attribute_10 is 0.48. The attribute_11 is 0.3. The attribute_12 is 0.66. The attribute_13 is 0.62. The attribute_14 is 0.6. The attribute_15 is 0.43. The attribute_16 is 0.2. The attribute_17 is 0.51. The attribute_18 is 0.35. The attribute_19 is 0.21. The attribute_20 is 0.75.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.28. The attribute_1 is 0.82. The attribute_2 is 0.94. The attribute_3 is 0.4. The attribute_4 is 0.36. The attribute_5 is 0.32. The attribute_6 is 0.58. The attribute_7 is 0.29. The attribute_8 is 0.83. The attribute_9 is 0.88. The attribute_10 is 0.85. The attribute_11 is 0.36. The attribute_12 is 0.36. The attribute_13 is 0.56. The attribute_14 is 0.64. The attribute_15 is 0.44. The attribute_16 is 0.3. The attribute_17 is 0.79. The attribute_18 is 0.36. The attribute_19 is 0.23. The attribute_20 is 0.74.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.97. The attribute_1 is 0.05. The attribute_2 is 0.12. The attribute_3 is 0.03. The attribute_4 is 0.47. The attribute_5 is 0.45. The attribute_6 is 0.1. The attribute_7 is 0.97. The attribute_8 is 0.23. The attribute_9 is 0.46. The attribute_10 is 0.33. The attribute_11 is 0.11. The attribute_12 is 0.53. The attribute_13 is 0.16. The attribute_14 is 0.59. The attribute_15 is 0.38. The attribute_16 is 0.6. The attribute_17 is 0.01. The attribute_18 is 0.77. The attribute_19 is 0.51. The attribute_20 is 0.65.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.64. The attribute_1 is 0.42. The attribute_2 is 0.43. The attribute_3 is 0.66. The attribute_4 is 0.87. The attribute_5 is 0.33. The attribute_6 is 0.07. The attribute_7 is 0.75. The attribute_8 is 0.38. The attribute_9 is 0.73. The attribute_10 is 0.33. The attribute_11 is 0.02. The attribute_12 is 0.91. The attribute_13 is 0.41. The attribute_14 is 0.59. The attribute_15 is 0.59. The attribute_16 is 0.66. The attribute_17 is 0.19. The attribute_18 is 0.67. The attribute_19 is 0.63. The attribute_20 is 0.03.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.34. The attribute_1 is 0.53. The attribute_2 is 0.63. The attribute_3 is 0.34. The attribute_4 is 0.19. The attribute_5 is 0.34. The attribute_6 is 0.61. The attribute_7 is 0.26. The attribute_8 is 0.63. The attribute_9 is 0.93. The attribute_10 is 0.92. The attribute_11 is 0.45. The attribute_12 is 0.44. The attribute_13 is 0.43. The attribute_14 is 0.43. The attribute_15 is 0.7. The attribute_16 is 0.34. The attribute_17 is 0.59. The attribute_18 is 0.56. The attribute_19 is 0.4. The attribute_20 is 0.67.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.74. The attribute_1 is 0.28. The attribute_2 is 0.16. The attribute_3 is 0.9. The attribute_4 is 0.73. The attribute_5 is 0.99. The attribute_6 is 0.7. The attribute_7 is 0.64. The attribute_8 is 0.63. The attribute_9 is 0.05. The attribute_10 is 0.17. The attribute_11 is 0.84. The attribute_12 is 0.12. The attribute_13 is 0.83. The attribute_14 is 0.02. The attribute_15 is 0.05. The attribute_16 is 0.79. The attribute_17 is 0.41. The attribute_18 is 0.04. The attribute_19 is 0.87. The attribute_20 is 0.38.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.63. The attribute_1 is 0.31. The attribute_2 is 0.2. The attribute_3 is 0.61. The attribute_4 is 0.25. The attribute_5 is 0.23. The attribute_6 is 0.63. The attribute_7 is 0.62. The attribute_8 is 0.74. The attribute_9 is 0.22. The attribute_10 is 0.76. The attribute_11 is 0.36. The attribute_12 is 0.32. The attribute_13 is 0.63. The attribute_14 is 0.15. The attribute_15 is 0.05. The attribute_16 is 0.15. The attribute_17 is 0.22. The attribute_18 is 0.95. The attribute_19 is 0.03. The attribute_20 is 0.23.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.65. The attribute_1 is 0.17. The attribute_2 is 0.11. The attribute_3 is 0.13. The attribute_4 is 0.95. The attribute_5 is 0.25. The attribute_6 is 0.06. The attribute_7 is 0.83. The attribute_8 is 0.24. The attribute_9 is 0.04. The attribute_10 is 0.03. The attribute_11 is 0.26. The attribute_12 is 0.9. The attribute_13 is 0.05. The attribute_14 is 0.97. The attribute_15 is 0.85. The attribute_16 is 0.96. The attribute_17 is 0.01. The attribute_18 is 0.9. The attribute_19 is 0.96. The attribute_20 is 0.12.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.35. The attribute_1 is 0.87. The attribute_2 is 0.83. The attribute_3 is 0.33. The attribute_4 is 0.41. The attribute_5 is 0.28. The attribute_6 is 0.61. The attribute_7 is 0.25. The attribute_8 is 0.69. The attribute_9 is 0.2. The attribute_10 is 0.12. The attribute_11 is 0.48. The attribute_12 is 0.98. The attribute_13 is 0.24. The attribute_14 is 0.96. The attribute_15 is 0.95. The attribute_16 is 0.39. The attribute_17 is 0.73. The attribute_18 is 0.3. The attribute_19 is 0.18. The attribute_20 is 0.12.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.75. The attribute_1 is 0.8. The attribute_2 is 0.81. The attribute_3 is 0.76. The attribute_4 is 0.09. The attribute_5 is 0.34. The attribute_6 is 0.02. The attribute_7 is 0.92. The attribute_8 is 0.04. The attribute_9 is 0.66. The attribute_10 is 0.3. The attribute_11 is 0.05. The attribute_12 is 0.48. The attribute_13 is 0.62. The attribute_14 is 0.59. The attribute_15 is 0.62. The attribute_16 is 0.31. The attribute_17 is 0.86. The attribute_18 is 0.95. The attribute_19 is 0.48. The attribute_20 is 0.44.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.96. The attribute_1 is 0.57. The attribute_2 is 0.68. The attribute_3 is 0.49. The attribute_4 is 0.99. The attribute_5 is 0.52. The attribute_6 is 0.01. The attribute_7 is 1.0. The attribute_8 is 0.0. The attribute_9 is 0.76. The attribute_10 is 0.2. The attribute_11 is 0.1. The attribute_12 is 0.82. The attribute_13 is 0.41. The attribute_14 is 0.85. The attribute_15 is 0.52. The attribute_16 is 0.98. The attribute_17 is 0.58. The attribute_18 is 0.91. The attribute_19 is 0.96. The attribute_20 is 0.15.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.0. The attribute_1 is 0.89. The attribute_2 is 0.69. The attribute_3 is 0.09. The attribute_4 is 0.37. The attribute_5 is 0.3. The attribute_6 is 0.46. The attribute_7 is 0.01. The attribute_8 is 0.38. The attribute_9 is 0.84. The attribute_10 is 0.75. The attribute_11 is 0.54. The attribute_12 is 0.79. The attribute_13 is 0.06. The attribute_14 is 0.79. The attribute_15 is 0.56. The attribute_16 is 0.37. The attribute_17 is 0.77. The attribute_18 is 0.12. The attribute_19 is 0.3. The attribute_20 is 0.54.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.9. The attribute_1 is 0.74. The attribute_2 is 0.72. The attribute_3 is 0.88. The attribute_4 is 0.86. The attribute_5 is 0.99. The attribute_6 is 0.49. The attribute_7 is 0.72. The attribute_8 is 0.27. The attribute_9 is 0.86. The attribute_10 is 0.64. The attribute_11 is 0.32. The attribute_12 is 0.48. The attribute_13 is 0.56. The attribute_14 is 0.54. The attribute_15 is 0.46. The attribute_16 is 0.82. The attribute_17 is 0.4. The attribute_18 is 0.68. The attribute_19 is 0.85. The attribute_20 is 0.84.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.79. The attribute_1 is 0.94. The attribute_2 is 0.71. The attribute_3 is 0.14. The attribute_4 is 0.36. The attribute_5 is 0.5. The attribute_6 is 0.47. The attribute_7 is 0.86. The attribute_8 is 0.52. The attribute_9 is 0.77. The attribute_10 is 0.73. The attribute_11 is 0.74. The attribute_12 is 0.2. The attribute_13 is 0.1. The attribute_14 is 0.37. The attribute_15 is 0.4. The attribute_16 is 0.34. The attribute_17 is 0.78. The attribute_18 is 0.36. The attribute_19 is 0.44. The attribute_20 is 0.58.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.71. The attribute_1 is 0.36. The attribute_2 is 0.16. The attribute_3 is 0.84. The attribute_4 is 0.26. The attribute_5 is 0.81. The attribute_6 is 0.72. The attribute_7 is 0.57. The attribute_8 is 0.95. The attribute_9 is 0.06. The attribute_10 is 0.17. The attribute_11 is 0.62. The attribute_12 is 0.05. The attribute_13 is 0.73. The attribute_14 is 0.12. The attribute_15 is 0.03. The attribute_16 is 0.48. The attribute_17 is 0.21. The attribute_18 is 0.26. The attribute_19 is 0.2. The attribute_20 is 0.5.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.82. The attribute_1 is 0.47. The attribute_2 is 0.25. The attribute_3 is 0.03. The attribute_4 is 0.93. The attribute_5 is 0.27. The attribute_6 is 0.04. The attribute_7 is 0.95. The attribute_8 is 0.03. The attribute_9 is 0.31. The attribute_10 is 0.31. The attribute_11 is 0.06. The attribute_12 is 0.22. The attribute_13 is 0.06. The attribute_14 is 0.24. The attribute_15 is 0.33. The attribute_16 is 0.87. The attribute_17 is 0.21. The attribute_18 is 0.7. The attribute_19 is 0.93. The attribute_20 is 0.47.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.75. The attribute_1 is 0.77. The attribute_2 is 0.56. The attribute_3 is 0.27. The attribute_4 is 0.45. The attribute_5 is 0.78. The attribute_6 is 0.44. The attribute_7 is 0.9. The attribute_8 is 0.68. The attribute_9 is 0.05. The attribute_10 is 0.31. The attribute_11 is 0.84. The attribute_12 is 0.49. The attribute_13 is 0.52. The attribute_14 is 0.54. The attribute_15 is 0.18. The attribute_16 is 0.53. The attribute_17 is 0.18. The attribute_18 is 0.62. The attribute_19 is 0.18. The attribute_20 is 0.68.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.77. The attribute_1 is 1.0. The attribute_2 is 0.63. The attribute_3 is 0.24. The attribute_4 is 0.74. The attribute_5 is 0.24. The attribute_6 is 0.59. The attribute_7 is 0.75. The attribute_8 is 0.64. The attribute_9 is 0.73. The attribute_10 is 0.8. The attribute_11 is 0.91. The attribute_12 is 0.21. The attribute_13 is 0.18. The attribute_14 is 0.46. The attribute_15 is 0.31. The attribute_16 is 0.79. The attribute_17 is 0.77. The attribute_18 is 0.44. The attribute_19 is 0.82. The attribute_20 is 0.93.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.16. The attribute_1 is 0.35. The attribute_2 is 0.86. The attribute_3 is 0.24. The attribute_4 is 0.99. The attribute_5 is 0.25. The attribute_6 is 0.21. The attribute_7 is 0.22. The attribute_8 is 0.24. The attribute_9 is 0.42. The attribute_10 is 0.5. The attribute_11 is 0.24. The attribute_12 is 0.85. The attribute_13 is 0.19. The attribute_14 is 0.41. The attribute_15 is 0.57. The attribute_16 is 0.62. The attribute_17 is 0.49. The attribute_18 is 0.74. The attribute_19 is 0.46. The attribute_20 is 0.23.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.69. The attribute_1 is 0.2. The attribute_2 is 0.2. The attribute_3 is 0.08. The attribute_4 is 0.94. The attribute_5 is 0.25. The attribute_6 is 0.13. The attribute_7 is 0.7. The attribute_8 is 0.14. The attribute_9 is 0.67. The attribute_10 is 0.54. The attribute_11 is 0.14. The attribute_12 is 0.57. The attribute_13 is 0.3. The attribute_14 is 0.62. The attribute_15 is 0.42. The attribute_16 is 0.95. The attribute_17 is 0.13. The attribute_18 is 0.25. The attribute_19 is 0.9. The attribute_20 is 0.58.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.76. The attribute_1 is 0.41. The attribute_2 is 0.72. The attribute_3 is 0.45. The attribute_4 is 0.19. The attribute_5 is 0.63. The attribute_6 is 0.61. The attribute_7 is 0.87. The attribute_8 is 0.87. The attribute_9 is 0.2. The attribute_10 is 0.41. The attribute_11 is 0.54. The attribute_12 is 0.44. The attribute_13 is 0.33. The attribute_14 is 0.79. The attribute_15 is 0.72. The attribute_16 is 0.18. The attribute_17 is 0.41. The attribute_18 is 0.7. The attribute_19 is 0.04. The attribute_20 is 0.62.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.73. The attribute_1 is 0.42. The attribute_2 is 0.15. The attribute_3 is 0.43. The attribute_4 is 0.03. The attribute_5 is 0.96. The attribute_6 is 0.09. The attribute_7 is 0.49. The attribute_8 is 0.15. The attribute_9 is 0.69. The attribute_10 is 0.7. The attribute_11 is 0.21. The attribute_12 is 0.52. The attribute_13 is 0.55. The attribute_14 is 0.81. The attribute_15 is 0.76. The attribute_16 is 0.05. The attribute_17 is 0.13. The attribute_18 is 0.54. The attribute_19 is 0.01. The attribute_20 is 0.79.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.03. The attribute_1 is 0.58. The attribute_2 is 0.6. The attribute_3 is 0.33. The attribute_4 is 0.16. The attribute_5 is 0.13. The attribute_6 is 0.55. The attribute_7 is 0.03. The attribute_8 is 0.64. The attribute_9 is 0.29. The attribute_10 is 0.35. The attribute_11 is 0.62. The attribute_12 is 0.78. The attribute_13 is 0.3. The attribute_14 is 0.66. The attribute_15 is 0.67. The attribute_16 is 0.43. The attribute_17 is 0.59. The attribute_18 is 0.01. The attribute_19 is 0.61. The attribute_20 is 0.51.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.04. The attribute_1 is 0.96. The attribute_2 is 0.95. The attribute_3 is 1.0. The attribute_4 is 0.9. The attribute_5 is 0.88. The attribute_6 is 0.67. The attribute_7 is 0.54. The attribute_8 is 0.57. The attribute_9 is 0.61. The attribute_10 is 0.69. The attribute_11 is 0.96. The attribute_12 is 0.34. The attribute_13 is 0.92. The attribute_14 is 0.85. The attribute_15 is 0.55. The attribute_16 is 0.79. The attribute_17 is 0.8. The attribute_18 is 0.42. The attribute_19 is 0.81. The attribute_20 is 0.92.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.67. The attribute_1 is 0.28. The attribute_2 is 0.44. The attribute_3 is 0.09. The attribute_4 is 0.39. The attribute_5 is 0.06. The attribute_6 is 0.82. The attribute_7 is 0.51. The attribute_8 is 0.65. The attribute_9 is 0.69. The attribute_10 is 0.6. The attribute_11 is 0.06. The attribute_12 is 0.69. The attribute_13 is 0.32. The attribute_14 is 0.81. The attribute_15 is 0.55. The attribute_16 is 0.53. The attribute_17 is 0.52. The attribute_18 is 0.97. The attribute_19 is 0.3. The attribute_20 is 0.53.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.9. The attribute_1 is 0.53. The attribute_2 is 0.3. The attribute_3 is 0.04. The attribute_4 is 0.38. The attribute_5 is 0.54. The attribute_6 is 0.8. The attribute_7 is 0.72. The attribute_8 is 0.96. The attribute_9 is 0.21. The attribute_10 is 0.69. The attribute_11 is 0.67. The attribute_12 is 0.85. The attribute_13 is 0.36. The attribute_14 is 0.76. The attribute_15 is 0.92. The attribute_16 is 0.35. The attribute_17 is 0.55. The attribute_18 is 0.44. The attribute_19 is 0.03. The attribute_20 is 0.79.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.3. The attribute_1 is 0.31. The attribute_2 is 0.85. The attribute_3 is 0.82. The attribute_4 is 0.07. The attribute_5 is 0.8. The attribute_6 is 0.86. The attribute_7 is 0.33. The attribute_8 is 0.94. The attribute_9 is 0.51. The attribute_10 is 0.61. The attribute_11 is 0.94. The attribute_12 is 0.23. The attribute_13 is 0.91. The attribute_14 is 0.16. The attribute_15 is 0.2. The attribute_16 is 0.32. The attribute_17 is 0.74. The attribute_18 is 0.63. The attribute_19 is 0.33. The attribute_20 is 0.42.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.09. The attribute_1 is 0.3. The attribute_2 is 0.25. The attribute_3 is 0.37. The attribute_4 is 0.5. The attribute_5 is 0.52. The attribute_6 is 0.15. The attribute_7 is 0.05. The attribute_8 is 0.29. The attribute_9 is 0.41. The attribute_10 is 0.45. The attribute_11 is 0.17. The attribute_12 is 0.15. The attribute_13 is 0.24. The attribute_14 is 0.41. The attribute_15 is 0.41. The attribute_16 is 0.34. The attribute_17 is 0.21. The attribute_18 is 0.02. The attribute_19 is 0.53. The attribute_20 is 0.38.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.14. The attribute_1 is 0.22. The attribute_2 is 0.37. The attribute_3 is 0.93. The attribute_4 is 0.88. The attribute_5 is 0.98. The attribute_6 is 0.94. The attribute_7 is 0.07. The attribute_8 is 0.83. The attribute_9 is 0.82. The attribute_10 is 0.79. The attribute_11 is 0.8. The attribute_12 is 0.87. The attribute_13 is 0.87. The attribute_14 is 0.46. The attribute_15 is 0.51. The attribute_16 is 0.81. The attribute_17 is 0.63. The attribute_18 is 0.05. The attribute_19 is 0.91. The attribute_20 is 0.46.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.06. The attribute_1 is 0.92. The attribute_2 is 0.95. The attribute_3 is 0.75. The attribute_4 is 0.42. The attribute_5 is 0.87. The attribute_6 is 0.93. The attribute_7 is 0.04. The attribute_8 is 0.95. The attribute_9 is 0.76. The attribute_10 is 0.71. The attribute_11 is 0.72. The attribute_12 is 0.53. The attribute_13 is 0.88. The attribute_14 is 0.48. The attribute_15 is 0.47. The attribute_16 is 0.31. The attribute_17 is 0.96. The attribute_18 is 0.08. The attribute_19 is 0.41. The attribute_20 is 0.49.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.52. The attribute_1 is 0.65. The attribute_2 is 0.43. The attribute_3 is 0.91. The attribute_4 is 0.46. The attribute_5 is 0.8. The attribute_6 is 0.69. The attribute_7 is 0.42. The attribute_8 is 0.65. The attribute_9 is 0.28. The attribute_10 is 0.31. The attribute_11 is 0.14. The attribute_12 is 0.26. The attribute_13 is 0.83. The attribute_14 is 0.48. The attribute_15 is 0.5. The attribute_16 is 0.82. The attribute_17 is 0.54. The attribute_18 is 0.92. The attribute_19 is 0.75. The attribute_20 is 0.43.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.99. The attribute_1 is 0.91. The attribute_2 is 0.95. The attribute_3 is 1.0. The attribute_4 is 0.0. The attribute_5 is 0.97. The attribute_6 is 0.0. The attribute_7 is 0.95. The attribute_8 is 0.0. The attribute_9 is 0.95. The attribute_10 is 0.97. The attribute_11 is 0.06. The attribute_12 is 0.11. The attribute_13 is 0.98. The attribute_14 is 0.04. The attribute_15 is 0.12. The attribute_16 is 0.01. The attribute_17 is 0.98. The attribute_18 is 0.7. The attribute_19 is 0.0. The attribute_20 is 0.92.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.33. The attribute_1 is 0.66. The attribute_2 is 0.26. The attribute_3 is 0.9. The attribute_4 is 0.1. The attribute_5 is 0.92. The attribute_6 is 0.94. The attribute_7 is 0.07. The attribute_8 is 0.69. The attribute_9 is 0.63. The attribute_10 is 0.86. The attribute_11 is 0.79. The attribute_12 is 0.09. The attribute_13 is 1.0. The attribute_14 is 0.11. The attribute_15 is 0.0. The attribute_16 is 0.09. The attribute_17 is 0.69. The attribute_18 is 0.12. The attribute_19 is 0.0. The attribute_20 is 0.84.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.44. The attribute_1 is 0.49. The attribute_2 is 0.46. The attribute_3 is 0.69. The attribute_4 is 0.82. The attribute_5 is 0.74. The attribute_6 is 0.77. The attribute_7 is 0.44. The attribute_8 is 0.9. The attribute_9 is 0.6. The attribute_10 is 0.7. The attribute_11 is 0.74. The attribute_12 is 0.83. The attribute_13 is 0.62. The attribute_14 is 0.92. The attribute_15 is 0.9. The attribute_16 is 0.82. The attribute_17 is 0.58. The attribute_18 is 0.72. The attribute_19 is 0.73. The attribute_20 is 0.85.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.9. The attribute_1 is 0.08. The attribute_2 is 0.04. The attribute_3 is 0.12. The attribute_4 is 0.94. The attribute_5 is 0.49. The attribute_6 is 0.07. The attribute_7 is 0.95. The attribute_8 is 0.0. The attribute_9 is 0.05. The attribute_10 is 0.33. The attribute_11 is 0.17. The attribute_12 is 0.92. The attribute_13 is 0.11. The attribute_14 is 0.89. The attribute_15 is 0.96. The attribute_16 is 0.64. The attribute_17 is 0.13. The attribute_18 is 0.84. The attribute_19 is 0.66. The attribute_20 is 0.28.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.32. The attribute_1 is 0.3. The attribute_2 is 0.53. The attribute_3 is 0.95. The attribute_4 is 0.04. The attribute_5 is 0.98. The attribute_6 is 0.04. The attribute_7 is 0.7. The attribute_8 is 0.43. The attribute_9 is 0.98. The attribute_10 is 0.97. The attribute_11 is 0.03. The attribute_12 is 0.71. The attribute_13 is 0.98. The attribute_14 is 0.81. The attribute_15 is 0.76. The attribute_16 is 0.02. The attribute_17 is 0.16. The attribute_18 is 0.7. The attribute_19 is 0.08. The attribute_20 is 0.93.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.67. The attribute_1 is 0.92. The attribute_2 is 0.94. The attribute_3 is 0.38. The attribute_4 is 0.59. The attribute_5 is 0.56. The attribute_6 is 0.89. The attribute_7 is 0.45. The attribute_8 is 0.69. The attribute_9 is 0.92. The attribute_10 is 0.91. The attribute_11 is 0.97. The attribute_12 is 0.56. The attribute_13 is 0.46. The attribute_14 is 0.66. The attribute_15 is 0.53. The attribute_16 is 0.53. The attribute_17 is 0.91. The attribute_18 is 0.36. The attribute_19 is 0.26. The attribute_20 is 0.87.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.9. The attribute_1 is 0.41. The attribute_2 is 0.02. The attribute_3 is 0.45. The attribute_4 is 0.04. The attribute_5 is 0.58. The attribute_6 is 0.07. The attribute_7 is 0.85. The attribute_8 is 0.02. The attribute_9 is 0.24. The attribute_10 is 0.07. The attribute_11 is 0.06. The attribute_12 is 0.63. The attribute_13 is 0.51. The attribute_14 is 0.66. The attribute_15 is 0.95. The attribute_16 is 0.36. The attribute_17 is 0.0. The attribute_18 is 0.56. The attribute_19 is 0.61. The attribute_20 is 0.51.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.85. The attribute_1 is 0.04. The attribute_2 is 0.04. The attribute_3 is 0.01. The attribute_4 is 0.62. The attribute_5 is 0.06. The attribute_6 is 0.04. The attribute_7 is 0.88. The attribute_8 is 0.08. The attribute_9 is 0.75. The attribute_10 is 0.42. The attribute_11 is 0.27. The attribute_12 is 0.44. The attribute_13 is 0.02. The attribute_14 is 0.76. The attribute_15 is 0.91. The attribute_16 is 0.79. The attribute_17 is 0.05. The attribute_18 is 0.95. The attribute_19 is 0.64. The attribute_20 is 0.62.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.3. The attribute_1 is 0.93. The attribute_2 is 0.82. The attribute_3 is 0.6. The attribute_4 is 0.24. The attribute_5 is 0.37. The attribute_6 is 0.76. The attribute_7 is 0.35. The attribute_8 is 0.67. The attribute_9 is 0.94. The attribute_10 is 0.92. The attribute_11 is 0.71. The attribute_12 is 0.23. The attribute_13 is 0.44. The attribute_14 is 0.42. The attribute_15 is 0.33. The attribute_16 is 0.2. The attribute_17 is 0.83. The attribute_18 is 0.48. The attribute_19 is 0.18. The attribute_20 is 0.86.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.56. The attribute_1 is 0.53. The attribute_2 is 0.57. The attribute_3 is 0.66. The attribute_4 is 0.5. The attribute_5 is 0.9. The attribute_6 is 0.66. The attribute_7 is 0.57. The attribute_8 is 0.61. The attribute_9 is 0.51. The attribute_10 is 0.5. The attribute_11 is 0.63. The attribute_12 is 0.38. The attribute_13 is 0.81. The attribute_14 is 0.48. The attribute_15 is 0.54. The attribute_16 is 0.48. The attribute_17 is 0.84. The attribute_18 is 0.73. The attribute_19 is 0.41. The attribute_20 is 0.38.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.49. The attribute_1 is 0.45. The attribute_2 is 0.75. The attribute_3 is 0.87. The attribute_4 is 0.78. The attribute_5 is 0.97. The attribute_6 is 0.48. The attribute_7 is 0.4. The attribute_8 is 0.56. The attribute_9 is 0.64. The attribute_10 is 0.76. The attribute_11 is 0.09. The attribute_12 is 0.8. The attribute_13 is 0.71. The attribute_14 is 0.38. The attribute_15 is 0.42. The attribute_16 is 0.47. The attribute_17 is 0.75. The attribute_18 is 0.59. The attribute_19 is 0.47. The attribute_20 is 0.42.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.16. The attribute_1 is 0.71. The attribute_2 is 0.48. The attribute_3 is 0.39. The attribute_4 is 0.14. The attribute_5 is 0.87. The attribute_6 is 0.34. The attribute_7 is 0.07. The attribute_8 is 0.51. The attribute_9 is 0.74. The attribute_10 is 0.77. The attribute_11 is 0.6. The attribute_12 is 0.06. The attribute_13 is 0.44. The attribute_14 is 0.16. The attribute_15 is 0.15. The attribute_16 is 0.31. The attribute_17 is 0.42. The attribute_18 is 0.26. The attribute_19 is 0.08. The attribute_20 is 0.7.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.81. The attribute_1 is 0.81. The attribute_2 is 0.63. The attribute_3 is 0.44. The attribute_4 is 0.16. The attribute_5 is 0.56. The attribute_6 is 0.75. The attribute_7 is 0.59. The attribute_8 is 0.67. The attribute_9 is 0.93. The attribute_10 is 0.93. The attribute_11 is 0.97. The attribute_12 is 0.42. The attribute_13 is 0.5. The attribute_14 is 0.39. The attribute_15 is 0.3. The attribute_16 is 0.2. The attribute_17 is 0.68. The attribute_18 is 0.24. The attribute_19 is 0.3. The attribute_20 is 0.92.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.86. The attribute_1 is 0.13. The attribute_2 is 0.26. The attribute_3 is 0.12. The attribute_4 is 0.95. The attribute_5 is 0.07. The attribute_6 is 0.21. The attribute_7 is 0.87. The attribute_8 is 0.21. The attribute_9 is 0.01. The attribute_10 is 0.17. The attribute_11 is 0.09. The attribute_12 is 1.0. The attribute_13 is 0.19. The attribute_14 is 0.95. The attribute_15 is 0.99. The attribute_16 is 0.97. The attribute_17 is 0.25. The attribute_18 is 0.93. The attribute_19 is 0.96. The attribute_20 is 0.01.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.82. The attribute_1 is 0.36. The attribute_2 is 0.03. The attribute_3 is 0.13. The attribute_4 is 0.82. The attribute_5 is 0.53. The attribute_6 is 0.21. The attribute_7 is 0.37. The attribute_8 is 0.13. The attribute_9 is 0.01. The attribute_10 is 0.18. The attribute_11 is 0.34. The attribute_12 is 0.9. The attribute_13 is 0.39. The attribute_14 is 0.86. The attribute_15 is 0.86. The attribute_16 is 0.75. The attribute_17 is 0.3. The attribute_18 is 0.4. The attribute_19 is 0.67. The attribute_20 is 0.2.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.27. The attribute_1 is 0.85. The attribute_2 is 0.46. The attribute_3 is 0.45. The attribute_4 is 0.68. The attribute_5 is 0.26. The attribute_6 is 0.83. The attribute_7 is 0.14. The attribute_8 is 0.67. The attribute_9 is 0.8. The attribute_10 is 0.41. The attribute_11 is 0.99. The attribute_12 is 0.87. The attribute_13 is 0.19. The attribute_14 is 0.75. The attribute_15 is 0.38. The attribute_16 is 0.62. The attribute_17 is 0.66. The attribute_18 is 0.5. The attribute_19 is 0.43. The attribute_20 is 0.15.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.4. The attribute_1 is 0.42. The attribute_2 is 0.42. The attribute_3 is 0.16. The attribute_4 is 0.4. The attribute_5 is 0.53. The attribute_6 is 0.25. The attribute_7 is 0.65. The attribute_8 is 0.45. The attribute_9 is 0.21. The attribute_10 is 0.05. The attribute_11 is 0.35. The attribute_12 is 0.5. The attribute_13 is 0.21. The attribute_14 is 0.3. The attribute_15 is 0.27. The attribute_16 is 0.51. The attribute_17 is 0.31. The attribute_18 is 0.58. The attribute_19 is 0.28. The attribute_20 is 0.17.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.22. The attribute_1 is 0.14. The attribute_2 is 0.38. The attribute_3 is 0.22. The attribute_4 is 0.2. The attribute_5 is 0.07. The attribute_6 is 0.39. The attribute_7 is 0.66. The attribute_8 is 0.59. The attribute_9 is 0.91. The attribute_10 is 0.92. The attribute_11 is 0.18. The attribute_12 is 0.59. The attribute_13 is 0.14. The attribute_14 is 0.82. The attribute_15 is 0.72. The attribute_16 is 0.22. The attribute_17 is 0.34. The attribute_18 is 0.22. The attribute_19 is 0.26. The attribute_20 is 0.94.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.05. The attribute_1 is 0.65. The attribute_2 is 0.66. The attribute_3 is 0.59. The attribute_4 is 0.08. The attribute_5 is 0.82. The attribute_6 is 0.27. The attribute_7 is 0.05. The attribute_8 is 0.39. The attribute_9 is 0.5. The attribute_10 is 0.45. The attribute_11 is 0.19. The attribute_12 is 0.18. The attribute_13 is 0.5. The attribute_14 is 0.58. The attribute_15 is 0.49. The attribute_16 is 0.02. The attribute_17 is 0.56. The attribute_18 is 0.05. The attribute_19 is 0.03. The attribute_20 is 0.33.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.06. The attribute_1 is 0.85. The attribute_2 is 0.95. The attribute_3 is 0.73. The attribute_4 is 0.9. The attribute_5 is 0.37. The attribute_6 is 0.84. The attribute_7 is 0.07. The attribute_8 is 0.83. The attribute_9 is 0.78. The attribute_10 is 0.8. The attribute_11 is 0.64. The attribute_12 is 0.74. The attribute_13 is 0.74. The attribute_14 is 0.47. The attribute_15 is 0.44. The attribute_16 is 0.97. The attribute_17 is 0.99. The attribute_18 is 0.26. The attribute_19 is 0.88. The attribute_20 is 0.78.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.76. The attribute_1 is 0.0. The attribute_2 is 0.07. The attribute_3 is 0.93. The attribute_4 is 0.14. The attribute_5 is 0.9. The attribute_6 is 0.54. The attribute_7 is 0.44. The attribute_8 is 0.58. The attribute_9 is 0.0. The attribute_10 is 0.05. The attribute_11 is 0.64. The attribute_12 is 0.29. The attribute_13 is 0.92. The attribute_14 is 0.32. The attribute_15 is 0.41. The attribute_16 is 0.04. The attribute_17 is 0.03. The attribute_18 is 0.62. The attribute_19 is 0.0. The attribute_20 is 0.12.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.94. The attribute_1 is 0.72. The attribute_2 is 0.44. The attribute_3 is 0.07. The attribute_4 is 0.45. The attribute_5 is 0.01. The attribute_6 is 0.67. The attribute_7 is 0.67. The attribute_8 is 0.16. The attribute_9 is 0.63. The attribute_10 is 0.96. The attribute_11 is 0.64. The attribute_12 is 0.61. The attribute_13 is 0.1. The attribute_14 is 0.54. The attribute_15 is 0.41. The attribute_16 is 0.53. The attribute_17 is 0.86. The attribute_18 is 0.7. The attribute_19 is 0.52. The attribute_20 is 0.94.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.97. The attribute_1 is 0.87. The attribute_2 is 1.0. The attribute_3 is 0.56. The attribute_4 is 0.2. The attribute_5 is 0.68. The attribute_6 is 0.18. The attribute_7 is 0.99. The attribute_8 is 0.0. The attribute_9 is 0.0. The attribute_10 is 0.03. The attribute_11 is 0.17. The attribute_12 is 0.66. The attribute_13 is 0.97. The attribute_14 is 0.47. The attribute_15 is 0.89. The attribute_16 is 0.3. The attribute_17 is 1.0. The attribute_18 is 0.95. The attribute_19 is 0.7. The attribute_20 is 0.05.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.45. The attribute_1 is 0.28. The attribute_2 is 0.2. The attribute_3 is 0.49. The attribute_4 is 0.7. The attribute_5 is 0.93. The attribute_6 is 0.88. The attribute_7 is 0.05. The attribute_8 is 0.53. The attribute_9 is 0.21. The attribute_10 is 0.34. The attribute_11 is 0.79. The attribute_12 is 0.28. The attribute_13 is 0.92. The attribute_14 is 0.26. The attribute_15 is 0.25. The attribute_16 is 0.81. The attribute_17 is 0.26. The attribute_18 is 0.05. The attribute_19 is 0.61. The attribute_20 is 0.23.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.59. The attribute_1 is 0.85. The attribute_2 is 0.56. The attribute_3 is 0.38. The attribute_4 is 0.28. The attribute_5 is 0.83. The attribute_6 is 0.43. The attribute_7 is 0.46. The attribute_8 is 0.5. The attribute_9 is 0.2. The attribute_10 is 0.34. The attribute_11 is 0.83. The attribute_12 is 0.19. The attribute_13 is 0.66. The attribute_14 is 0.26. The attribute_15 is 0.16. The attribute_16 is 0.34. The attribute_17 is 0.47. The attribute_18 is 0.31. The attribute_19 is 0.6. The attribute_20 is 0.58.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.95. The attribute_1 is 0.31. The attribute_2 is 0.24. The attribute_3 is 0.13. The attribute_4 is 0.98. The attribute_5 is 0.06. The attribute_6 is 0.08. The attribute_7 is 0.99. The attribute_8 is 0.51. The attribute_9 is 0.65. The attribute_10 is 0.25. The attribute_11 is 0.5. The attribute_12 is 0.76. The attribute_13 is 0.08. The attribute_14 is 0.26. The attribute_15 is 0.05. The attribute_16 is 0.56. The attribute_17 is 0.15. The attribute_18 is 0.92. The attribute_19 is 0.15. The attribute_20 is 0.86.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.59. The attribute_1 is 0.97. The attribute_2 is 0.91. The attribute_3 is 0.95. The attribute_4 is 0.16. The attribute_5 is 0.56. The attribute_6 is 0.73. The attribute_7 is 0.59. The attribute_8 is 0.97. The attribute_9 is 0.88. The attribute_10 is 0.8. The attribute_11 is 0.74. The attribute_12 is 0.21. The attribute_13 is 0.73. The attribute_14 is 0.1. The attribute_15 is 0.19. The attribute_16 is 0.11. The attribute_17 is 0.96. The attribute_18 is 0.68. The attribute_19 is 0.03. The attribute_20 is 0.55.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.89. The attribute_1 is 0.37. The attribute_2 is 0.24. The attribute_3 is 0.02. The attribute_4 is 0.75. The attribute_5 is 0.38. The attribute_6 is 0.07. The attribute_7 is 0.9. The attribute_8 is 0.08. The attribute_9 is 0.2. The attribute_10 is 0.33. The attribute_11 is 0.06. The attribute_12 is 0.77. The attribute_13 is 0.13. The attribute_14 is 0.76. The attribute_15 is 0.9. The attribute_16 is 0.56. The attribute_17 is 0.36. The attribute_18 is 0.96. The attribute_19 is 0.81. The attribute_20 is 0.2.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.51. The attribute_1 is 0.79. The attribute_2 is 0.37. The attribute_3 is 0.2. The attribute_4 is 0.02. The attribute_5 is 0.39. The attribute_6 is 0.26. The attribute_7 is 0.7. The attribute_8 is 0.57. The attribute_9 is 0.63. The attribute_10 is 0.35. The attribute_11 is 0.42. The attribute_12 is 0.84. The attribute_13 is 0.17. The attribute_14 is 0.41. The attribute_15 is 0.34. The attribute_16 is 0.3. The attribute_17 is 0.27. The attribute_18 is 0.33. The attribute_19 is 0.24. The attribute_20 is 0.74.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.14. The attribute_1 is 0.42. The attribute_2 is 0.53. The attribute_3 is 0.48. The attribute_4 is 0.62. The attribute_5 is 0.68. The attribute_6 is 0.63. The attribute_7 is 0.08. The attribute_8 is 0.64. The attribute_9 is 0.86. The attribute_10 is 0.9. The attribute_11 is 0.58. The attribute_12 is 0.29. The attribute_13 is 0.48. The attribute_14 is 0.29. The attribute_15 is 0.4. The attribute_16 is 0.66. The attribute_17 is 0.44. The attribute_18 is 0.31. The attribute_19 is 0.84. The attribute_20 is 1.0.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.97. The attribute_1 is 0.33. The attribute_2 is 0.11. The attribute_3 is 0.49. The attribute_4 is 0.73. The attribute_5 is 0.35. The attribute_6 is 0.12. The attribute_7 is 0.92. The attribute_8 is 0.09. The attribute_9 is 0.06. The attribute_10 is 0.02. The attribute_11 is 0.27. The attribute_12 is 0.43. The attribute_13 is 0.31. The attribute_14 is 0.41. The attribute_15 is 0.37. The attribute_16 is 0.89. The attribute_17 is 0.3. The attribute_18 is 0.81. The attribute_19 is 0.85. The attribute_20 is 0.11.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.27. The attribute_1 is 0.9. The attribute_2 is 0.94. The attribute_3 is 0.11. The attribute_4 is 0.04. The attribute_5 is 0.28. The attribute_6 is 0.56. The attribute_7 is 0.55. The attribute_8 is 0.99. The attribute_9 is 0.89. The attribute_10 is 1.0. The attribute_11 is 0.77. The attribute_12 is 0.17. The attribute_13 is 0.09. The attribute_14 is 0.11. The attribute_15 is 0.53. The attribute_16 is 0.07. The attribute_17 is 0.91. The attribute_18 is 0.43. The attribute_19 is 0.2. The attribute_20 is 0.96.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.73. The attribute_1 is 0.29. The attribute_2 is 0.33. The attribute_3 is 0.07. The attribute_4 is 0.14. The attribute_5 is 0.26. The attribute_6 is 0.29. The attribute_7 is 0.49. The attribute_8 is 0.52. The attribute_9 is 0.85. The attribute_10 is 0.86. The attribute_11 is 0.16. The attribute_12 is 0.38. The attribute_13 is 0.22. The attribute_14 is 0.23. The attribute_15 is 0.43. The attribute_16 is 0.08. The attribute_17 is 0.27. The attribute_18 is 0.39. The attribute_19 is 0.12. The attribute_20 is 0.85.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.79. The attribute_1 is 0.07. The attribute_2 is 0.1. The attribute_3 is 0.11. The attribute_4 is 0.5. The attribute_5 is 0.15. The attribute_6 is 0.11. The attribute_7 is 0.8. The attribute_8 is 0.12. The attribute_9 is 0.36. The attribute_10 is 0.14. The attribute_11 is 0.26. The attribute_12 is 0.91. The attribute_13 is 0.15. The attribute_14 is 0.55. The attribute_15 is 0.46. The attribute_16 is 0.64. The attribute_17 is 0.05. The attribute_18 is 0.36. The attribute_19 is 0.43. The attribute_20 is 0.22.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.6. The attribute_1 is 0.76. The attribute_2 is 0.66. The attribute_3 is 0.18. The attribute_4 is 0.87. The attribute_5 is 0.08. The attribute_6 is 0.34. The attribute_7 is 0.8. The attribute_8 is 0.51. The attribute_9 is 0.82. The attribute_10 is 0.74. The attribute_11 is 0.63. The attribute_12 is 0.89. The attribute_13 is 0.11. The attribute_14 is 0.95. The attribute_15 is 0.77. The attribute_16 is 0.65. The attribute_17 is 0.43. The attribute_18 is 0.88. The attribute_19 is 0.75. The attribute_20 is 0.86.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.01. The attribute_1 is 0.5. The attribute_2 is 0.77. The attribute_3 is 0.98. The attribute_4 is 0.05. The attribute_5 is 0.97. The attribute_6 is 0.99. The attribute_7 is 0.07. The attribute_8 is 0.95. The attribute_9 is 0.36. The attribute_10 is 0.28. The attribute_11 is 0.94. The attribute_12 is 0.08. The attribute_13 is 0.97. The attribute_14 is 0.36. The attribute_15 is 0.5. The attribute_16 is 0.08. The attribute_17 is 0.75. The attribute_18 is 0.06. The attribute_19 is 0.14. The attribute_20 is 0.15.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.16. The attribute_1 is 0.54. The attribute_2 is 0.56. The attribute_3 is 0.82. The attribute_4 is 0.77. The attribute_5 is 0.79. The attribute_6 is 0.62. The attribute_7 is 0.4. The attribute_8 is 0.69. The attribute_9 is 0.3. The attribute_10 is 0.45. The attribute_11 is 0.72. The attribute_12 is 0.54. The attribute_13 is 0.91. The attribute_14 is 0.24. The attribute_15 is 0.72. The attribute_16 is 0.75. The attribute_17 is 0.36. The attribute_18 is 0.2. The attribute_19 is 0.93. The attribute_20 is 0.56.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.25. The attribute_1 is 0.98. The attribute_2 is 0.88. The attribute_3 is 0.35. The attribute_4 is 0.9. The attribute_5 is 0.07. The attribute_6 is 0.74. The attribute_7 is 0.59. The attribute_8 is 0.76. The attribute_9 is 0.11. The attribute_10 is 0.6. The attribute_11 is 0.98. The attribute_12 is 0.13. The attribute_13 is 0.71. The attribute_14 is 0.67. The attribute_15 is 0.63. The attribute_16 is 0.95. The attribute_17 is 0.99. The attribute_18 is 0.94. The attribute_19 is 0.97. The attribute_20 is 0.1.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.82. The attribute_1 is 0.28. The attribute_2 is 0.25. The attribute_3 is 0.22. The attribute_4 is 0.57. The attribute_5 is 0.28. The attribute_6 is 0.15. The attribute_7 is 0.87. The attribute_8 is 0.27. The attribute_9 is 0.53. The attribute_10 is 0.24. The attribute_11 is 0.26. The attribute_12 is 0.51. The attribute_13 is 0.14. The attribute_14 is 0.48. The attribute_15 is 0.32. The attribute_16 is 0.41. The attribute_17 is 0.19. The attribute_18 is 0.88. The attribute_19 is 0.3. The attribute_20 is 0.32.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.48. The attribute_1 is 0.37. The attribute_2 is 0.37. The attribute_3 is 0.18. The attribute_4 is 0.15. The attribute_5 is 0.38. The attribute_6 is 0.48. The attribute_7 is 0.31. The attribute_8 is 0.7. The attribute_9 is 0.86. The attribute_10 is 0.76. The attribute_11 is 0.61. The attribute_12 is 0.58. The attribute_13 is 0.53. The attribute_14 is 0.46. The attribute_15 is 0.8. The attribute_16 is 0.31. The attribute_17 is 0.58. The attribute_18 is 0.36. The attribute_19 is 0.6. The attribute_20 is 0.75.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.74. The attribute_1 is 0.78. The attribute_2 is 0.92. The attribute_3 is 0.4. The attribute_4 is 0.32. The attribute_5 is 0.28. The attribute_6 is 0.47. The attribute_7 is 0.69. The attribute_8 is 0.79. The attribute_9 is 0.41. The attribute_10 is 0.38. The attribute_11 is 0.58. The attribute_12 is 0.27. The attribute_13 is 0.45. The attribute_14 is 0.23. The attribute_15 is 0.25. The attribute_16 is 0.3. The attribute_17 is 0.84. The attribute_18 is 0.57. The attribute_19 is 0.29. The attribute_20 is 0.51.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.73. The attribute_1 is 0.38. The attribute_2 is 0.13. The attribute_3 is 0.05. The attribute_4 is 0.73. The attribute_5 is 0.12. The attribute_6 is 0.3. The attribute_7 is 0.65. The attribute_8 is 0.13. The attribute_9 is 0.57. The attribute_10 is 0.75. The attribute_11 is 0.47. The attribute_12 is 0.6. The attribute_13 is 0.22. The attribute_14 is 0.52. The attribute_15 is 0.67. The attribute_16 is 0.58. The attribute_17 is 0.49. The attribute_18 is 0.71. The attribute_19 is 0.56. The attribute_20 is 0.74.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.65. The attribute_1 is 0.42. The attribute_2 is 0.61. The attribute_3 is 0.14. The attribute_4 is 0.41. The attribute_5 is 0.23. The attribute_6 is 0.29. The attribute_7 is 0.82. The attribute_8 is 0.53. The attribute_9 is 0.38. The attribute_10 is 0.63. The attribute_11 is 0.18. The attribute_12 is 0.77. The attribute_13 is 0.15. The attribute_14 is 0.63. The attribute_15 is 0.59. The attribute_16 is 0.33. The attribute_17 is 0.48. The attribute_18 is 0.7. The attribute_19 is 0.48. The attribute_20 is 0.4.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.23. The attribute_1 is 0.13. The attribute_2 is 0.16. The attribute_3 is 0.12. The attribute_4 is 0.75. The attribute_5 is 0.21. The attribute_6 is 0.21. The attribute_7 is 0.38. The attribute_8 is 0.24. The attribute_9 is 0.59. The attribute_10 is 0.67. The attribute_11 is 0.52. The attribute_12 is 0.28. The attribute_13 is 0.09. The attribute_14 is 0.18. The attribute_15 is 0.17. The attribute_16 is 0.81. The attribute_17 is 0.15. The attribute_18 is 0.64. The attribute_19 is 0.91. The attribute_20 is 0.74.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.31. The attribute_1 is 0.18. The attribute_2 is 0.31. The attribute_3 is 0.3. The attribute_4 is 0.7. The attribute_5 is 0.28. The attribute_6 is 0.27. The attribute_7 is 0.54. The attribute_8 is 0.3. The attribute_9 is 0.34. The attribute_10 is 0.17. The attribute_11 is 0.24. The attribute_12 is 0.81. The attribute_13 is 0.25. The attribute_14 is 0.6. The attribute_15 is 0.73. The attribute_16 is 0.81. The attribute_17 is 0.21. The attribute_18 is 0.56. The attribute_19 is 0.8. The attribute_20 is 0.21.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.09. The attribute_1 is 0.12. The attribute_2 is 0.22. The attribute_3 is 0.15. The attribute_4 is 0.94. The attribute_5 is 0.04. The attribute_6 is 0.22. The attribute_7 is 0.22. The attribute_8 is 0.51. The attribute_9 is 0.45. The attribute_10 is 0.26. The attribute_11 is 0.16. The attribute_12 is 0.62. The attribute_13 is 0.14. The attribute_14 is 0.8. The attribute_15 is 0.8. The attribute_16 is 0.75. The attribute_17 is 0.12. The attribute_18 is 0.05. The attribute_19 is 0.37. The attribute_20 is 0.23.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.11. The attribute_1 is 0.77. The attribute_2 is 0.74. The attribute_3 is 0.3. The attribute_4 is 0.49. The attribute_5 is 0.43. The attribute_6 is 0.68. The attribute_7 is 0.12. The attribute_8 is 0.76. The attribute_9 is 0.6. The attribute_10 is 0.67. The attribute_11 is 0.54. The attribute_12 is 0.42. The attribute_13 is 0.36. The attribute_14 is 0.47. The attribute_15 is 0.5. The attribute_16 is 0.55. The attribute_17 is 0.8. The attribute_18 is 0.19. The attribute_19 is 0.6. The attribute_20 is 0.56.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.25. The attribute_1 is 0.4. The attribute_2 is 0.61. The attribute_3 is 0.98. The attribute_4 is 0.26. The attribute_5 is 0.93. The attribute_6 is 0.8. The attribute_7 is 0.24. The attribute_8 is 0.82. The attribute_9 is 0.88. The attribute_10 is 0.92. The attribute_11 is 0.79. The attribute_12 is 0.97. The attribute_13 is 0.92. The attribute_14 is 0.85. The attribute_15 is 0.74. The attribute_16 is 0.39. The attribute_17 is 0.62. The attribute_18 is 0.46. The attribute_19 is 0.18. The attribute_20 is 0.93.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.6. The attribute_1 is 0.71. The attribute_2 is 0.56. The attribute_3 is 0.28. The attribute_4 is 0.13. The attribute_5 is 0.87. The attribute_6 is 0.97. The attribute_7 is 0.65. The attribute_8 is 0.97. The attribute_9 is 0.05. The attribute_10 is 0.17. The attribute_11 is 0.98. The attribute_12 is 0.74. The attribute_13 is 0.1. The attribute_14 is 0.96. The attribute_15 is 0.97. The attribute_16 is 0.08. The attribute_17 is 0.5. The attribute_18 is 0.02. The attribute_19 is 0.65. The attribute_20 is 0.01.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.92. The attribute_1 is 0.2. The attribute_2 is 0.26. The attribute_3 is 0.08. The attribute_4 is 0.33. The attribute_5 is 0.49. The attribute_6 is 0.07. The attribute_7 is 0.88. The attribute_8 is 0.13. The attribute_9 is 0.39. The attribute_10 is 0.24. The attribute_11 is 0.2. The attribute_12 is 0.26. The attribute_13 is 0.29. The attribute_14 is 0.21. The attribute_15 is 0.25. The attribute_16 is 0.58. The attribute_17 is 0.08. The attribute_18 is 0.58. The attribute_19 is 0.51. The attribute_20 is 0.36.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.0. The attribute_1 is 0.92. The attribute_2 is 0.65. The attribute_3 is 0.83. The attribute_4 is 0.49. The attribute_5 is 0.64. The attribute_6 is 0.78. The attribute_7 is 0.02. The attribute_8 is 0.43. The attribute_9 is 0.49. The attribute_10 is 0.7. The attribute_11 is 0.62. The attribute_12 is 0.58. The attribute_13 is 0.95. The attribute_14 is 0.54. The attribute_15 is 0.54. The attribute_16 is 0.47. The attribute_17 is 0.86. The attribute_18 is 0.4. The attribute_19 is 0.49. The attribute_20 is 0.45.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.26. The attribute_1 is 0.38. The attribute_2 is 0.29. The attribute_3 is 0.26. The attribute_4 is 0.82. The attribute_5 is 0.29. The attribute_6 is 0.33. The attribute_7 is 0.41. The attribute_8 is 0.35. The attribute_9 is 0.28. The attribute_10 is 0.21. The attribute_11 is 0.19. The attribute_12 is 0.87. The attribute_13 is 0.35. The attribute_14 is 0.79. The attribute_15 is 0.83. The attribute_16 is 0.6. The attribute_17 is 0.44. The attribute_18 is 0.51. The attribute_19 is 0.53. The attribute_20 is 0.27.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.27. The attribute_1 is 0.64. The attribute_2 is 0.79. The attribute_3 is 0.39. The attribute_4 is 0.72. The attribute_5 is 0.48. The attribute_6 is 0.54. The attribute_7 is 0.63. The attribute_8 is 0.46. The attribute_9 is 0.4. The attribute_10 is 0.21. The attribute_11 is 0.36. The attribute_12 is 0.43. The attribute_13 is 0.47. The attribute_14 is 0.37. The attribute_15 is 0.34. The attribute_16 is 0.92. The attribute_17 is 0.8. The attribute_18 is 0.81. The attribute_19 is 0.79. The attribute_20 is 0.52.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.3. The attribute_1 is 0.08. The attribute_2 is 0.45. The attribute_3 is 0.82. The attribute_4 is 0.68. The attribute_5 is 0.58. The attribute_6 is 0.32. The attribute_7 is 0.21. The attribute_8 is 0.52. The attribute_9 is 0.6. The attribute_10 is 0.79. The attribute_11 is 0.02. The attribute_12 is 0.4. The attribute_13 is 0.89. The attribute_14 is 0.12. The attribute_15 is 0.28. The attribute_16 is 0.22. The attribute_17 is 0.26. The attribute_18 is 0.44. The attribute_19 is 0.34. The attribute_20 is 0.43.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.78. The attribute_1 is 0.17. The attribute_2 is 0.19. The attribute_3 is 0.1. The attribute_4 is 0.78. The attribute_5 is 0.13. The attribute_6 is 0.12. The attribute_7 is 0.8. The attribute_8 is 0.27. The attribute_9 is 0.4. The attribute_10 is 0.45. The attribute_11 is 0.49. The attribute_12 is 0.48. The attribute_13 is 0.12. The attribute_14 is 0.6. The attribute_15 is 0.96. The attribute_16 is 0.54. The attribute_17 is 0.15. The attribute_18 is 0.81. The attribute_19 is 0.73. The attribute_20 is 0.17.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.03. The attribute_1 is 0.21. The attribute_2 is 0.73. The attribute_3 is 0.74. The attribute_4 is 1.0. The attribute_5 is 0.63. The attribute_6 is 0.71. The attribute_7 is 0.24. The attribute_8 is 0.9. The attribute_9 is 0.46. The attribute_10 is 0.76. The attribute_11 is 0.59. The attribute_12 is 0.78. The attribute_13 is 0.43. The attribute_14 is 0.7. The attribute_15 is 0.5. The attribute_16 is 0.94. The attribute_17 is 0.53. The attribute_18 is 0.3. The attribute_19 is 0.76. The attribute_20 is 0.44.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.9. The attribute_1 is 0.0. The attribute_2 is 0.09. The attribute_3 is 0.03. The attribute_4 is 0.52. The attribute_5 is 0.02. The attribute_6 is 0.04. The attribute_7 is 0.97. The attribute_8 is 0.0. The attribute_9 is 0.72. The attribute_10 is 0.86. The attribute_11 is 0.09. The attribute_12 is 0.59. The attribute_13 is 0.0. The attribute_14 is 0.57. The attribute_15 is 0.59. The attribute_16 is 0.47. The attribute_17 is 0.03. The attribute_18 is 0.98. The attribute_19 is 0.52. The attribute_20 is 0.94.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.8. The attribute_1 is 0.09. The attribute_2 is 0.16. The attribute_3 is 0.17. The attribute_4 is 0.89. The attribute_5 is 0.15. The attribute_6 is 0.35. The attribute_7 is 0.54. The attribute_8 is 0.26. The attribute_9 is 0.08. The attribute_10 is 0.2. The attribute_11 is 0.0. The attribute_12 is 0.34. The attribute_13 is 0.39. The attribute_14 is 0.63. The attribute_15 is 0.62. The attribute_16 is 0.95. The attribute_17 is 0.3. The attribute_18 is 0.84. The attribute_19 is 0.93. The attribute_20 is 0.15.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.11. The attribute_1 is 0.34. The attribute_2 is 0.77. The attribute_3 is 0.04. The attribute_4 is 0.32. The attribute_5 is 0.29. The attribute_6 is 0.72. The attribute_7 is 0.18. The attribute_8 is 0.82. The attribute_9 is 0.76. The attribute_10 is 0.71. The attribute_11 is 0.74. The attribute_12 is 0.65. The attribute_13 is 0.0. The attribute_14 is 0.59. The attribute_15 is 0.43. The attribute_16 is 0.62. The attribute_17 is 0.54. The attribute_18 is 0.13. The attribute_19 is 0.36. The attribute_20 is 0.54.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.67. The attribute_1 is 0.37. The attribute_2 is 0.77. The attribute_3 is 0.64. The attribute_4 is 0.34. The attribute_5 is 0.68. The attribute_6 is 0.51. The attribute_7 is 0.49. The attribute_8 is 0.61. The attribute_9 is 0.98. The attribute_10 is 0.9. The attribute_11 is 0.62. The attribute_12 is 0.24. The attribute_13 is 0.75. The attribute_14 is 0.13. The attribute_15 is 0.19. The attribute_16 is 0.37. The attribute_17 is 0.61. The attribute_18 is 0.33. The attribute_19 is 0.42. The attribute_20 is 0.84.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.13. The attribute_1 is 0.51. The attribute_2 is 0.06. The attribute_3 is 0.67. The attribute_4 is 0.69. The attribute_5 is 0.44. The attribute_6 is 0.38. The attribute_7 is 0.12. The attribute_8 is 0.5. The attribute_9 is 0.61. The attribute_10 is 0.64. The attribute_11 is 0.62. The attribute_12 is 0.56. The attribute_13 is 0.55. The attribute_14 is 0.92. The attribute_15 is 0.9. The attribute_16 is 0.57. The attribute_17 is 0.18. The attribute_18 is 0.09. The attribute_19 is 0.71. The attribute_20 is 0.72.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.49. The attribute_1 is 0.08. The attribute_2 is 0.01. The attribute_3 is 0.98. The attribute_4 is 0.42. The attribute_5 is 0.93. The attribute_6 is 0.02. The attribute_7 is 0.56. The attribute_8 is 0.04. The attribute_9 is 0.13. The attribute_10 is 0.08. The attribute_11 is 0.09. The attribute_12 is 0.12. The attribute_13 is 0.96. The attribute_14 is 0.07. The attribute_15 is 0.13. The attribute_16 is 0.46. The attribute_17 is 0.01. The attribute_18 is 0.48. The attribute_19 is 0.4. The attribute_20 is 0.23.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.6. The attribute_1 is 0.89. The attribute_2 is 0.41. The attribute_3 is 0.85. The attribute_4 is 0.08. The attribute_5 is 0.88. The attribute_6 is 0.37. The attribute_7 is 0.54. The attribute_8 is 0.59. The attribute_9 is 0.43. The attribute_10 is 0.17. The attribute_11 is 0.02. The attribute_12 is 0.07. The attribute_13 is 0.5. The attribute_14 is 0.16. The attribute_15 is 0.0. The attribute_16 is 0.28. The attribute_17 is 0.43. The attribute_18 is 0.11. The attribute_19 is 0.0. The attribute_20 is 0.88.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.68. The attribute_1 is 0.99. The attribute_2 is 0.86. The attribute_3 is 0.55. The attribute_4 is 0.7. The attribute_5 is 0.9. The attribute_6 is 0.46. The attribute_7 is 0.62. The attribute_8 is 0.51. The attribute_9 is 0.54. The attribute_10 is 0.57. The attribute_11 is 0.71. The attribute_12 is 0.42. The attribute_13 is 0.75. The attribute_14 is 0.58. The attribute_15 is 0.8. The attribute_16 is 0.65. The attribute_17 is 0.88. The attribute_18 is 0.01. The attribute_19 is 0.45. The attribute_20 is 0.45.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.98. The attribute_1 is 0.11. The attribute_2 is 0.11. The attribute_3 is 0.02. The attribute_4 is 0.16. The attribute_5 is 0.15. The attribute_6 is 0.01. The attribute_7 is 0.99. The attribute_8 is 0.0. The attribute_9 is 0.25. The attribute_10 is 0.17. The attribute_11 is 0.09. The attribute_12 is 0.1. The attribute_13 is 0.13. The attribute_14 is 0.11. The attribute_15 is 0.25. The attribute_16 is 0.13. The attribute_17 is 0.04. The attribute_18 is 0.89. The attribute_19 is 0.53. The attribute_20 is 0.09.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.09. The attribute_1 is 0.3. The attribute_2 is 0.08. The attribute_3 is 0.01. The attribute_4 is 0.64. The attribute_5 is 0.19. The attribute_6 is 0.26. The attribute_7 is 0.32. The attribute_8 is 0.02. The attribute_9 is 0.11. The attribute_10 is 0.31. The attribute_11 is 0.28. The attribute_12 is 0.76. The attribute_13 is 0.15. The attribute_14 is 0.89. The attribute_15 is 0.99. The attribute_16 is 0.56. The attribute_17 is 0.21. The attribute_18 is 0.83. The attribute_19 is 0.92. The attribute_20 is 0.25.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.56. The attribute_1 is 0.03. The attribute_2 is 0.0. The attribute_3 is 0.25. The attribute_4 is 0.99. The attribute_5 is 0.28. The attribute_6 is 0.33. The attribute_7 is 0.46. The attribute_8 is 0.36. The attribute_9 is 0.11. The attribute_10 is 0.05. The attribute_11 is 0.55. The attribute_12 is 0.95. The attribute_13 is 0.28. The attribute_14 is 0.98. The attribute_15 is 0.96. The attribute_16 is 0.92. The attribute_17 is 0.04. The attribute_18 is 0.25. The attribute_19 is 0.86. The attribute_20 is 0.04.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.84. The attribute_1 is 0.57. The attribute_2 is 0.28. The attribute_3 is 0.18. The attribute_4 is 0.91. The attribute_5 is 0.36. The attribute_6 is 0.66. The attribute_7 is 0.78. The attribute_8 is 0.85. The attribute_9 is 0.13. The attribute_10 is 0.27. The attribute_11 is 0.88. The attribute_12 is 0.92. The attribute_13 is 0.12. The attribute_14 is 0.92. The attribute_15 is 0.99. The attribute_16 is 0.89. The attribute_17 is 0.42. The attribute_18 is 0.01. The attribute_19 is 0.76. The attribute_20 is 0.33.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.9. The attribute_1 is 0.64. The attribute_2 is 0.06. The attribute_3 is 0.01. The attribute_4 is 0.39. The attribute_5 is 0.04. The attribute_6 is 0.18. The attribute_7 is 0.92. The attribute_8 is 0.15. The attribute_9 is 0.48. The attribute_10 is 0.83. The attribute_11 is 0.23. The attribute_12 is 0.24. The attribute_13 is 0.08. The attribute_14 is 0.26. The attribute_15 is 0.32. The attribute_16 is 0.48. The attribute_17 is 0.29. The attribute_18 is 0.94. The attribute_19 is 0.48. The attribute_20 is 0.88.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.05. The attribute_1 is 0.91. The attribute_2 is 0.67. The attribute_3 is 0.29. The attribute_4 is 0.47. The attribute_5 is 0.19. The attribute_6 is 0.7. The attribute_7 is 0.07. The attribute_8 is 0.59. The attribute_9 is 0.29. The attribute_10 is 0.41. The attribute_11 is 0.84. The attribute_12 is 0.32. The attribute_13 is 0.22. The attribute_14 is 0.53. The attribute_15 is 0.41. The attribute_16 is 0.44. The attribute_17 is 0.81. The attribute_18 is 0.05. The attribute_19 is 0.4. The attribute_20 is 0.38.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.12. The attribute_1 is 0.54. The attribute_2 is 0.5. The attribute_3 is 0.52. The attribute_4 is 0.05. The attribute_5 is 0.47. The attribute_6 is 0.84. The attribute_7 is 0.15. The attribute_8 is 0.61. The attribute_9 is 0.96. The attribute_10 is 0.99. The attribute_11 is 0.81. The attribute_12 is 0.28. The attribute_13 is 0.53. The attribute_14 is 0.12. The attribute_15 is 0.24. The attribute_16 is 0.01. The attribute_17 is 0.69. The attribute_18 is 0.3. The attribute_19 is 0.02. The attribute_20 is 0.94.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.78. The attribute_1 is 0.58. The attribute_2 is 0.21. The attribute_3 is 0.12. The attribute_4 is 0.26. The attribute_5 is 0.67. The attribute_6 is 0.55. The attribute_7 is 0.45. The attribute_8 is 0.28. The attribute_9 is 0.17. The attribute_10 is 0.32. The attribute_11 is 0.71. The attribute_12 is 0.14. The attribute_13 is 0.42. The attribute_14 is 0.26. The attribute_15 is 0.19. The attribute_16 is 0.3. The attribute_17 is 0.42. The attribute_18 is 0.34. The attribute_19 is 0.52. The attribute_20 is 0.51.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.86. The attribute_1 is 0.12. The attribute_2 is 0.24. The attribute_3 is 0.53. The attribute_4 is 0.59. The attribute_5 is 0.0. The attribute_6 is 0.41. The attribute_7 is 0.96. The attribute_8 is 0.53. The attribute_9 is 0.6. The attribute_10 is 0.54. The attribute_11 is 0.01. The attribute_12 is 0.97. The attribute_13 is 0.27. The attribute_14 is 0.84. The attribute_15 is 0.41. The attribute_16 is 0.64. The attribute_17 is 0.12. The attribute_18 is 0.89. The attribute_19 is 0.4. The attribute_20 is 0.77.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.72. The attribute_1 is 0.36. The attribute_2 is 0.31. The attribute_3 is 0.27. The attribute_4 is 0.22. The attribute_5 is 0.36. The attribute_6 is 0.16. The attribute_7 is 0.81. The attribute_8 is 0.21. The attribute_9 is 0.49. The attribute_10 is 0.64. The attribute_11 is 0.33. The attribute_12 is 0.22. The attribute_13 is 0.28. The attribute_14 is 0.52. The attribute_15 is 0.47. The attribute_16 is 0.36. The attribute_17 is 0.32. The attribute_18 is 0.79. The attribute_19 is 0.63. The attribute_20 is 0.83.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.53. The attribute_1 is 0.2. The attribute_2 is 0.37. The attribute_3 is 0.84. The attribute_4 is 0.77. The attribute_5 is 0.36. The attribute_6 is 0.32. The attribute_7 is 0.55. The attribute_8 is 0.59. The attribute_9 is 0.5. The attribute_10 is 0.39. The attribute_11 is 0.5. The attribute_12 is 0.36. The attribute_13 is 0.81. The attribute_14 is 0.2. The attribute_15 is 0.13. The attribute_16 is 0.71. The attribute_17 is 0.19. The attribute_18 is 0.64. The attribute_19 is 0.39. The attribute_20 is 0.23.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.2. The attribute_1 is 0.72. The attribute_2 is 0.66. The attribute_3 is 0.43. The attribute_4 is 0.05. The attribute_5 is 0.81. The attribute_6 is 0.35. The attribute_7 is 0.37. The attribute_8 is 0.59. The attribute_9 is 0.59. The attribute_10 is 0.41. The attribute_11 is 0.46. The attribute_12 is 0.14. The attribute_13 is 0.69. The attribute_14 is 0.08. The attribute_15 is 0.33. The attribute_16 is 0.29. The attribute_17 is 0.62. The attribute_18 is 0.48. The attribute_19 is 0.47. The attribute_20 is 0.59.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.08. The attribute_1 is 0.41. The attribute_2 is 0.38. The attribute_3 is 0.07. The attribute_4 is 0.76. The attribute_5 is 0.13. The attribute_6 is 0.6. The attribute_7 is 0.09. The attribute_8 is 0.51. The attribute_9 is 0.76. The attribute_10 is 0.92. The attribute_11 is 0.35. The attribute_12 is 0.53. The attribute_13 is 0.22. The attribute_14 is 0.23. The attribute_15 is 0.35. The attribute_16 is 0.75. The attribute_17 is 0.59. The attribute_18 is 0.21. The attribute_19 is 0.54. The attribute_20 is 0.75.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.79. The attribute_1 is 0.16. The attribute_2 is 0.27. The attribute_3 is 0.14. The attribute_4 is 1.0. The attribute_5 is 0.07. The attribute_6 is 0.38. The attribute_7 is 0.98. The attribute_8 is 0.56. The attribute_9 is 0.14. The attribute_10 is 0.19. The attribute_11 is 0.38. The attribute_12 is 0.14. The attribute_13 is 0.01. The attribute_14 is 0.06. The attribute_15 is 0.01. The attribute_16 is 0.98. The attribute_17 is 0.33. The attribute_18 is 0.88. The attribute_19 is 0.95. The attribute_20 is 0.22.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.12. The attribute_1 is 0.14. The attribute_2 is 0.31. The attribute_3 is 0.75. The attribute_4 is 0.16. The attribute_5 is 0.7. The attribute_6 is 0.32. The attribute_7 is 0.34. The attribute_8 is 0.24. The attribute_9 is 0.24. The attribute_10 is 0.01. The attribute_11 is 0.18. The attribute_12 is 0.43. The attribute_13 is 0.62. The attribute_14 is 0.65. The attribute_15 is 0.37. The attribute_16 is 0.22. The attribute_17 is 0.19. The attribute_18 is 0.69. The attribute_19 is 0.04. The attribute_20 is 0.06.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.53. The attribute_1 is 0.22. The attribute_2 is 0.18. The attribute_3 is 0.05. The attribute_4 is 0.81. The attribute_5 is 0.48. The attribute_6 is 0.32. The attribute_7 is 0.34. The attribute_8 is 0.19. The attribute_9 is 0.84. The attribute_10 is 0.8. The attribute_11 is 0.21. The attribute_12 is 0.95. The attribute_13 is 0.28. The attribute_14 is 0.84. The attribute_15 is 0.68. The attribute_16 is 0.64. The attribute_17 is 0.21. The attribute_18 is 0.74. The attribute_19 is 0.53. The attribute_20 is 0.6.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.74. The attribute_1 is 0.28. The attribute_2 is 0.17. The attribute_3 is 0.05. The attribute_4 is 0.61. The attribute_5 is 0.64. The attribute_6 is 0.33. The attribute_7 is 0.58. The attribute_8 is 0.27. The attribute_9 is 0.17. The attribute_10 is 0.27. The attribute_11 is 0.36. The attribute_12 is 0.8. The attribute_13 is 0.44. The attribute_14 is 0.92. The attribute_15 is 1.0. The attribute_16 is 0.8. The attribute_17 is 0.2. The attribute_18 is 0.64. The attribute_19 is 0.7. The attribute_20 is 0.28.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.24. The attribute_1 is 0.37. The attribute_2 is 0.3. The attribute_3 is 0.5. The attribute_4 is 0.28. The attribute_5 is 0.21. The attribute_6 is 0.24. The attribute_7 is 0.35. The attribute_8 is 0.43. The attribute_9 is 0.22. The attribute_10 is 0.1. The attribute_11 is 0.14. The attribute_12 is 0.21. The attribute_13 is 0.21. The attribute_14 is 0.12. The attribute_15 is 0.13. The attribute_16 is 0.57. The attribute_17 is 0.36. The attribute_18 is 0.49. The attribute_19 is 0.44. The attribute_20 is 0.27.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.59. The attribute_1 is 0.28. The attribute_2 is 0.42. The attribute_3 is 0.46. The attribute_4 is 0.08. The attribute_5 is 0.22. The attribute_6 is 0.87. The attribute_7 is 0.11. The attribute_8 is 0.53. The attribute_9 is 0.14. The attribute_10 is 0.24. The attribute_11 is 0.43. The attribute_12 is 0.25. The attribute_13 is 0.77. The attribute_14 is 0.21. The attribute_15 is 0.44. The attribute_16 is 0.2. The attribute_17 is 0.74. The attribute_18 is 0.87. The attribute_19 is 0.53. The attribute_20 is 0.09.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.31. The attribute_1 is 0.57. The attribute_2 is 0.69. The attribute_3 is 0.25. The attribute_4 is 0.55. The attribute_5 is 0.29. The attribute_6 is 0.99. The attribute_7 is 0.29. The attribute_8 is 1.0. The attribute_9 is 0.84. The attribute_10 is 0.86. The attribute_11 is 0.89. The attribute_12 is 0.5. The attribute_13 is 0.43. The attribute_14 is 0.09. The attribute_15 is 0.12. The attribute_16 is 0.49. The attribute_17 is 0.84. The attribute_18 is 0.62. The attribute_19 is 0.33. The attribute_20 is 0.59.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.09. The attribute_1 is 0.49. The attribute_2 is 0.71. The attribute_3 is 0.93. The attribute_4 is 0.06. The attribute_5 is 0.79. The attribute_6 is 0.88. The attribute_7 is 0.32. The attribute_8 is 0.86. The attribute_9 is 0.68. The attribute_10 is 0.62. The attribute_11 is 0.84. The attribute_12 is 0.08. The attribute_13 is 0.95. The attribute_14 is 0.13. The attribute_15 is 0.35. The attribute_16 is 0.09. The attribute_17 is 0.7. The attribute_18 is 0.05. The attribute_19 is 0.04. The attribute_20 is 0.59.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.07. The attribute_1 is 0.79. The attribute_2 is 0.76. The attribute_3 is 0.4. The attribute_4 is 0.07. The attribute_5 is 0.79. The attribute_6 is 0.92. The attribute_7 is 0.07. The attribute_8 is 0.87. The attribute_9 is 0.65. The attribute_10 is 0.64. The attribute_11 is 0.92. The attribute_12 is 0.07. The attribute_13 is 0.7. The attribute_14 is 0.24. The attribute_15 is 0.25. The attribute_16 is 0.17. The attribute_17 is 0.78. The attribute_18 is 0.27. The attribute_19 is 0.2. The attribute_20 is 0.63.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.52. The attribute_1 is 0.67. The attribute_2 is 0.4. The attribute_3 is 0.15. The attribute_4 is 0.24. The attribute_5 is 0.17. The attribute_6 is 0.66. The attribute_7 is 0.35. The attribute_8 is 0.81. The attribute_9 is 0.6. The attribute_10 is 0.64. The attribute_11 is 0.6. The attribute_12 is 0.28. The attribute_13 is 0.31. The attribute_14 is 0.08. The attribute_15 is 0.26. The attribute_16 is 0.14. The attribute_17 is 0.59. The attribute_18 is 0.84. The attribute_19 is 0.14. The attribute_20 is 0.42.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.57. The attribute_1 is 0.44. The attribute_2 is 0.25. The attribute_3 is 0.15. The attribute_4 is 0.04. The attribute_5 is 0.02. The attribute_6 is 0.46. The attribute_7 is 0.69. The attribute_8 is 0.39. The attribute_9 is 0.98. The attribute_10 is 0.98. The attribute_11 is 0.37. The attribute_12 is 0.13. The attribute_13 is 0.22. The attribute_14 is 0.1. The attribute_15 is 0.01. The attribute_16 is 0.1. The attribute_17 is 0.47. The attribute_18 is 0.6. The attribute_19 is 0.03. The attribute_20 is 0.91.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.62. The attribute_1 is 0.87. The attribute_2 is 0.3. The attribute_3 is 0.46. The attribute_4 is 0.41. The attribute_5 is 0.69. The attribute_6 is 0.9. The attribute_7 is 0.11. The attribute_8 is 0.65. The attribute_9 is 0.34. The attribute_10 is 0.55. The attribute_11 is 0.99. The attribute_12 is 0.81. The attribute_13 is 0.87. The attribute_14 is 0.65. The attribute_15 is 0.43. The attribute_16 is 0.41. The attribute_17 is 0.77. The attribute_18 is 0.07. The attribute_19 is 0.43. The attribute_20 is 0.41.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.86. The attribute_1 is 0.06. The attribute_2 is 0.17. The attribute_3 is 0.74. The attribute_4 is 0.8. The attribute_5 is 0.76. The attribute_6 is 0.03. The attribute_7 is 0.89. The attribute_8 is 0.13. The attribute_9 is 0.18. The attribute_10 is 0.33. The attribute_11 is 0.01. The attribute_12 is 0.63. The attribute_13 is 0.61. The attribute_14 is 0.37. The attribute_15 is 0.28. The attribute_16 is 0.78. The attribute_17 is 0.27. The attribute_18 is 0.85. The attribute_19 is 0.6. The attribute_20 is 0.25.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.8. The attribute_1 is 0.38. The attribute_2 is 0.46. The attribute_3 is 0.21. The attribute_4 is 0.26. The attribute_5 is 0.35. The attribute_6 is 0.11. The attribute_7 is 0.7. The attribute_8 is 0.25. The attribute_9 is 0.71. The attribute_10 is 0.61. The attribute_11 is 0.15. The attribute_12 is 0.51. The attribute_13 is 0.31. The attribute_14 is 0.77. The attribute_15 is 0.82. The attribute_16 is 0.47. The attribute_17 is 0.18. The attribute_18 is 0.58. The attribute_19 is 0.58. The attribute_20 is 0.76.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.85. The attribute_1 is 0.37. The attribute_2 is 0.23. The attribute_3 is 0.18. The attribute_4 is 0.57. The attribute_5 is 0.33. The attribute_6 is 0.14. The attribute_7 is 0.92. The attribute_8 is 0.15. The attribute_9 is 0.51. The attribute_10 is 0.63. The attribute_11 is 0.18. The attribute_12 is 0.59. The attribute_13 is 0.17. The attribute_14 is 0.7. The attribute_15 is 0.74. The attribute_16 is 0.54. The attribute_17 is 0.34. The attribute_18 is 0.89. The attribute_19 is 0.66. The attribute_20 is 0.42.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.86. The attribute_1 is 0.08. The attribute_2 is 0.16. The attribute_3 is 0.18. The attribute_4 is 0.39. The attribute_5 is 0.01. The attribute_6 is 0.0. The attribute_7 is 0.99. The attribute_8 is 0.04. The attribute_9 is 0.25. The attribute_10 is 0.09. The attribute_11 is 0.01. The attribute_12 is 0.93. The attribute_13 is 0.21. The attribute_14 is 0.79. The attribute_15 is 0.37. The attribute_16 is 0.89. The attribute_17 is 0.01. The attribute_18 is 0.98. The attribute_19 is 0.8. The attribute_20 is 0.09.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.31. The attribute_1 is 0.64. The attribute_2 is 0.86. The attribute_3 is 0.42. The attribute_4 is 0.45. The attribute_5 is 0.02. The attribute_6 is 0.89. The attribute_7 is 0.28. The attribute_8 is 0.93. The attribute_9 is 0.88. The attribute_10 is 0.8. The attribute_11 is 0.44. The attribute_12 is 0.68. The attribute_13 is 0.38. The attribute_14 is 0.7. The attribute_15 is 0.57. The attribute_16 is 0.26. The attribute_17 is 0.83. The attribute_18 is 0.94. The attribute_19 is 0.28. The attribute_20 is 0.62.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.6. The attribute_1 is 0.42. The attribute_2 is 0.2. The attribute_3 is 0.46. The attribute_4 is 0.38. The attribute_5 is 0.42. The attribute_6 is 0.65. The attribute_7 is 0.42. The attribute_8 is 0.37. The attribute_9 is 0.49. The attribute_10 is 0.94. The attribute_11 is 0.43. The attribute_12 is 0.02. The attribute_13 is 0.65. The attribute_14 is 0.32. The attribute_15 is 0.16. The attribute_16 is 0.45. The attribute_17 is 0.59. The attribute_18 is 0.56. The attribute_19 is 0.47. The attribute_20 is 0.54.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.11. The attribute_1 is 0.41. The attribute_2 is 1.0. The attribute_3 is 0.93. The attribute_4 is 0.11. The attribute_5 is 0.95. The attribute_6 is 0.61. The attribute_7 is 0.44. The attribute_8 is 0.89. The attribute_9 is 0.56. The attribute_10 is 0.55. The attribute_11 is 0.5. The attribute_12 is 0.03. The attribute_13 is 0.94. The attribute_14 is 0.07. The attribute_15 is 0.03. The attribute_16 is 0.08. The attribute_17 is 0.85. The attribute_18 is 0.37. The attribute_19 is 0.04. The attribute_20 is 0.06.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.85. The attribute_1 is 0.09. The attribute_2 is 0.44. The attribute_3 is 0.18. The attribute_4 is 0.02. The attribute_5 is 0.04. The attribute_6 is 0.14. The attribute_7 is 0.99. The attribute_8 is 0.45. The attribute_9 is 0.72. The attribute_10 is 0.86. The attribute_11 is 0.5. The attribute_12 is 0.41. The attribute_13 is 0.09. The attribute_14 is 0.49. The attribute_15 is 0.47. The attribute_16 is 0.22. The attribute_17 is 0.21. The attribute_18 is 0.93. The attribute_19 is 0.31. The attribute_20 is 0.88.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.49. The attribute_1 is 0.88. The attribute_2 is 0.53. The attribute_3 is 0.46. The attribute_4 is 0.06. The attribute_5 is 0.9. The attribute_6 is 0.42. The attribute_7 is 0.4. The attribute_8 is 0.52. The attribute_9 is 0.22. The attribute_10 is 0.34. The attribute_11 is 0.92. The attribute_12 is 0.02. The attribute_13 is 0.56. The attribute_14 is 0.52. The attribute_15 is 0.61. The attribute_16 is 0.51. The attribute_17 is 0.32. The attribute_18 is 0.93. The attribute_19 is 0.43. The attribute_20 is 0.15.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 1.0. The attribute_1 is 0.15. The attribute_2 is 0.04. The attribute_3 is 0.05. The attribute_4 is 0.16. The attribute_5 is 0.57. The attribute_6 is 0.1. The attribute_7 is 0.85. The attribute_8 is 0.14. The attribute_9 is 0.14. The attribute_10 is 0.19. The attribute_11 is 0.18. The attribute_12 is 0.54. The attribute_13 is 0.3. The attribute_14 is 0.53. The attribute_15 is 0.72. The attribute_16 is 0.38. The attribute_17 is 0.14. The attribute_18 is 0.81. The attribute_19 is 0.59. The attribute_20 is 0.22.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.14. The attribute_1 is 0.76. The attribute_2 is 0.9. The attribute_3 is 0.59. The attribute_4 is 0.41. The attribute_5 is 0.85. The attribute_6 is 0.67. The attribute_7 is 0.35. The attribute_8 is 0.9. The attribute_9 is 0.59. The attribute_10 is 0.71. The attribute_11 is 0.6. The attribute_12 is 0.42. The attribute_13 is 0.62. The attribute_14 is 0.65. The attribute_15 is 0.72. The attribute_16 is 0.42. The attribute_17 is 0.72. The attribute_18 is 0.34. The attribute_19 is 0.48. The attribute_20 is 0.48.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.82. The attribute_1 is 0.27. The attribute_2 is 0.45. The attribute_3 is 0.27. The attribute_4 is 0.31. The attribute_5 is 0.17. The attribute_6 is 0.23. The attribute_7 is 0.94. The attribute_8 is 0.16. The attribute_9 is 0.09. The attribute_10 is 0.1. The attribute_11 is 0.16. The attribute_12 is 0.74. The attribute_13 is 0.27. The attribute_14 is 0.8. The attribute_15 is 0.7. The attribute_16 is 0.88. The attribute_17 is 0.29. The attribute_18 is 0.72. The attribute_19 is 0.75. The attribute_20 is 0.26.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.96. The attribute_1 is 0.02. The attribute_2 is 0.06. The attribute_3 is 0.01. The attribute_4 is 0.27. The attribute_5 is 0.29. The attribute_6 is 0.02. The attribute_7 is 1.0. The attribute_8 is 0.0. The attribute_9 is 0.24. The attribute_10 is 0.12. The attribute_11 is 0.01. The attribute_12 is 0.21. The attribute_13 is 0.13. The attribute_14 is 0.24. The attribute_15 is 0.51. The attribute_16 is 0.4. The attribute_17 is 0.06. The attribute_18 is 0.93. The attribute_19 is 0.54. The attribute_20 is 0.1.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.9. The attribute_1 is 0.04. The attribute_2 is 0.1. The attribute_3 is 0.16. The attribute_4 is 0.91. The attribute_5 is 0.07. The attribute_6 is 0.02. The attribute_7 is 0.98. The attribute_8 is 0.0. The attribute_9 is 0.01. The attribute_10 is 0.07. The attribute_11 is 0.03. The attribute_12 is 0.32. The attribute_13 is 0.08. The attribute_14 is 0.71. The attribute_15 is 0.61. The attribute_16 is 1.0. The attribute_17 is 0.04. The attribute_18 is 0.98. The attribute_19 is 1.0. The attribute_20 is 0.09.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.83. The attribute_1 is 0.08. The attribute_2 is 0.25. The attribute_3 is 0.09. The attribute_4 is 0.05. The attribute_5 is 0.02. The attribute_6 is 0.18. The attribute_7 is 0.65. The attribute_8 is 0.21. The attribute_9 is 0.55. The attribute_10 is 0.51. The attribute_11 is 0.08. The attribute_12 is 0.05. The attribute_13 is 0.28. The attribute_14 is 0.57. The attribute_15 is 0.68. The attribute_16 is 0.57. The attribute_17 is 0.15. The attribute_18 is 0.95. The attribute_19 is 0.33. The attribute_20 is 0.99.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.26. The attribute_1 is 0.13. The attribute_2 is 0.55. The attribute_3 is 0.66. The attribute_4 is 0.9. The attribute_5 is 0.37. The attribute_6 is 0.72. The attribute_7 is 0.59. The attribute_8 is 0.81. The attribute_9 is 0.14. The attribute_10 is 0.27. The attribute_11 is 0.6. The attribute_12 is 0.75. The attribute_13 is 0.51. The attribute_14 is 0.8. The attribute_15 is 0.67. The attribute_16 is 0.92. The attribute_17 is 0.48. The attribute_18 is 0.84. The attribute_19 is 0.85. The attribute_20 is 0.2.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.55. The attribute_1 is 0.6. The attribute_2 is 0.81. The attribute_3 is 1.0. The attribute_4 is 0.32. The attribute_5 is 0.93. The attribute_6 is 0.9. The attribute_7 is 0.47. The attribute_8 is 0.87. The attribute_9 is 0.37. The attribute_10 is 0.5. The attribute_11 is 0.9. The attribute_12 is 0.21. The attribute_13 is 0.95. The attribute_14 is 0.21. The attribute_15 is 0.05. The attribute_16 is 0.28. The attribute_17 is 0.66. The attribute_18 is 0.41. The attribute_19 is 0.01. The attribute_20 is 0.39.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.02. The attribute_1 is 0.86. The attribute_2 is 0.71. The attribute_3 is 0.39. The attribute_4 is 0.74. The attribute_5 is 0.76. The attribute_6 is 0.59. The attribute_7 is 0.03. The attribute_8 is 0.6. The attribute_9 is 0.96. The attribute_10 is 0.97. The attribute_11 is 0.74. The attribute_12 is 0.24. The attribute_13 is 0.5. The attribute_14 is 0.23. The attribute_15 is 0.32. The attribute_16 is 0.56. The attribute_17 is 0.74. The attribute_18 is 0.07. The attribute_19 is 0.2. The attribute_20 is 0.97.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.72. The attribute_1 is 0.37. The attribute_2 is 0.13. The attribute_3 is 0.12. The attribute_4 is 0.13. The attribute_5 is 0.24. The attribute_6 is 0.3. The attribute_7 is 0.54. The attribute_8 is 0.19. The attribute_9 is 0.41. The attribute_10 is 0.6. The attribute_11 is 0.48. The attribute_12 is 0.08. The attribute_13 is 0.14. The attribute_14 is 0.19. The attribute_15 is 0.15. The attribute_16 is 0.06. The attribute_17 is 0.24. The attribute_18 is 0.5. The attribute_19 is 0.24. The attribute_20 is 0.82.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.01. The attribute_1 is 0.52. The attribute_2 is 0.46. The attribute_3 is 0.41. The attribute_4 is 0.91. The attribute_5 is 0.6. The attribute_6 is 0.66. The attribute_7 is 0.05. The attribute_8 is 0.39. The attribute_9 is 0.49. The attribute_10 is 0.61. The attribute_11 is 0.23. The attribute_12 is 0.48. The attribute_13 is 0.79. The attribute_14 is 0.44. The attribute_15 is 0.38. The attribute_16 is 0.95. The attribute_17 is 0.85. The attribute_18 is 0.19. The attribute_19 is 0.81. The attribute_20 is 0.35.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.61. The attribute_1 is 0.38. The attribute_2 is 0.82. The attribute_3 is 0.26. The attribute_4 is 0.95. The attribute_5 is 0.25. The attribute_6 is 0.8. The attribute_7 is 0.56. The attribute_8 is 0.69. The attribute_9 is 0.67. The attribute_10 is 0.42. The attribute_11 is 0.88. The attribute_12 is 0.67. The attribute_13 is 0.56. The attribute_14 is 0.26. The attribute_15 is 0.49. The attribute_16 is 0.97. The attribute_17 is 0.82. The attribute_18 is 0.88. The attribute_19 is 0.89. The attribute_20 is 0.36.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.73. The attribute_1 is 0.1. The attribute_2 is 0.04. The attribute_3 is 0.18. The attribute_4 is 0.56. The attribute_5 is 0.04. The attribute_6 is 0.05. The attribute_7 is 0.92. The attribute_8 is 0.02. The attribute_9 is 0.15. The attribute_10 is 0.13. The attribute_11 is 0.08. The attribute_12 is 0.99. The attribute_13 is 0.1. The attribute_14 is 0.92. The attribute_15 is 0.88. The attribute_16 is 0.66. The attribute_17 is 0.02. The attribute_18 is 0.92. The attribute_19 is 0.74. The attribute_20 is 0.09.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.99. The attribute_1 is 0.96. The attribute_2 is 0.71. The attribute_3 is 0.72. The attribute_4 is 0.81. The attribute_5 is 0.66. The attribute_6 is 0.67. The attribute_7 is 0.64. The attribute_8 is 0.57. The attribute_9 is 0.66. The attribute_10 is 0.85. The attribute_11 is 0.48. The attribute_12 is 0.6. The attribute_13 is 0.66. The attribute_14 is 0.3. The attribute_15 is 0.63. The attribute_16 is 0.39. The attribute_17 is 0.92. The attribute_18 is 0.83. The attribute_19 is 0.93. The attribute_20 is 0.82.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.9. The attribute_1 is 0.25. The attribute_2 is 0.17. The attribute_3 is 0.37. The attribute_4 is 0.6. The attribute_5 is 0.37. The attribute_6 is 0.25. The attribute_7 is 0.93. The attribute_8 is 0.21. The attribute_9 is 0.03. The attribute_10 is 0.04. The attribute_11 is 0.27. The attribute_12 is 0.7. The attribute_13 is 0.53. The attribute_14 is 0.66. The attribute_15 is 0.9. The attribute_16 is 0.6. The attribute_17 is 0.28. The attribute_18 is 0.98. The attribute_19 is 0.63. The attribute_20 is 0.01.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.43. The attribute_1 is 0.45. The attribute_2 is 0.23. The attribute_3 is 0.34. The attribute_4 is 0.39. The attribute_5 is 0.42. The attribute_6 is 0.65. The attribute_7 is 0.4. The attribute_8 is 0.39. The attribute_9 is 0.32. The attribute_10 is 0.33. The attribute_11 is 0.73. The attribute_12 is 0.34. The attribute_13 is 0.3. The attribute_14 is 0.47. The attribute_15 is 0.42. The attribute_16 is 0.32. The attribute_17 is 0.32. The attribute_18 is 0.4. The attribute_19 is 0.28. The attribute_20 is 0.32.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.76. The attribute_1 is 0.45. The attribute_2 is 0.31. The attribute_3 is 0.21. The attribute_4 is 0.3. The attribute_5 is 0.18. The attribute_6 is 0.26. The attribute_7 is 0.75. The attribute_8 is 0.12. The attribute_9 is 0.69. The attribute_10 is 0.61. The attribute_11 is 0.14. The attribute_12 is 0.62. The attribute_13 is 0.22. The attribute_14 is 0.52. The attribute_15 is 0.59. The attribute_16 is 0.41. The attribute_17 is 0.55. The attribute_18 is 0.89. The attribute_19 is 0.3. The attribute_20 is 0.57.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.15. The attribute_1 is 0.08. The attribute_2 is 0.01. The attribute_3 is 0.93. The attribute_4 is 0.1. The attribute_5 is 0.82. The attribute_6 is 0.07. The attribute_7 is 0.35. The attribute_8 is 0.1. The attribute_9 is 0.41. The attribute_10 is 0.24. The attribute_11 is 0.02. The attribute_12 is 0.49. The attribute_13 is 0.84. The attribute_14 is 0.3. The attribute_15 is 0.26. The attribute_16 is 0.02. The attribute_17 is 0.01. The attribute_18 is 0.18. The attribute_19 is 0.0. The attribute_20 is 0.36.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.44. The attribute_1 is 0.37. The attribute_2 is 0.23. The attribute_3 is 0.89. The attribute_4 is 0.52. The attribute_5 is 0.77. The attribute_6 is 0.13. The attribute_7 is 0.79. The attribute_8 is 0.3. The attribute_9 is 0.18. The attribute_10 is 0.39. The attribute_11 is 0.43. The attribute_12 is 0.48. The attribute_13 is 0.88. The attribute_14 is 0.44. The attribute_15 is 0.66. The attribute_16 is 0.58. The attribute_17 is 0.15. The attribute_18 is 0.74. The attribute_19 is 0.73. The attribute_20 is 0.36.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.63. The attribute_1 is 0.71. The attribute_2 is 0.91. The attribute_3 is 0.3. The attribute_4 is 0.83. The attribute_5 is 0.6. The attribute_6 is 0.77. The attribute_7 is 0.7. The attribute_8 is 0.73. The attribute_9 is 0.16. The attribute_10 is 0.07. The attribute_11 is 0.8. The attribute_12 is 0.28. The attribute_13 is 0.46. The attribute_14 is 0.41. The attribute_15 is 0.57. The attribute_16 is 0.74. The attribute_17 is 0.86. The attribute_18 is 0.64. The attribute_19 is 0.87. The attribute_20 is 0.13.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.81. The attribute_1 is 0.02. The attribute_2 is 0.47. The attribute_3 is 0.19. The attribute_4 is 0.81. The attribute_5 is 0.0. The attribute_6 is 0.59. The attribute_7 is 0.43. The attribute_8 is 0.22. The attribute_9 is 0.98. The attribute_10 is 0.85. The attribute_11 is 0.16. The attribute_12 is 0.81. The attribute_13 is 0.07. The attribute_14 is 0.99. The attribute_15 is 0.93. The attribute_16 is 0.85. The attribute_17 is 0.36. The attribute_18 is 0.82. The attribute_19 is 0.71. The attribute_20 is 0.98.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.99. The attribute_1 is 0.25. The attribute_2 is 0.03. The attribute_3 is 0.02. The attribute_4 is 0.0. The attribute_5 is 0.12. The attribute_6 is 0.42. The attribute_7 is 0.74. The attribute_8 is 0.25. The attribute_9 is 0.68. The attribute_10 is 0.61. The attribute_11 is 0.17. The attribute_12 is 0.04. The attribute_13 is 0.02. The attribute_14 is 0.24. The attribute_15 is 0.3. The attribute_16 is 0.14. The attribute_17 is 0.03. The attribute_18 is 0.77. The attribute_19 is 0.22. The attribute_20 is 0.55.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.15. The attribute_1 is 0.84. The attribute_2 is 0.78. The attribute_3 is 0.74. The attribute_4 is 0.23. The attribute_5 is 0.45. The attribute_6 is 0.68. The attribute_7 is 0.39. The attribute_8 is 0.73. The attribute_9 is 0.46. The attribute_10 is 0.19. The attribute_11 is 0.55. The attribute_12 is 0.24. The attribute_13 is 0.58. The attribute_14 is 0.08. The attribute_15 is 0.44. The attribute_16 is 0.26. The attribute_17 is 0.86. The attribute_18 is 0.4. The attribute_19 is 0.29. The attribute_20 is 0.32.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.86. The attribute_1 is 0.13. The attribute_2 is 0.16. The attribute_3 is 0.15. The attribute_4 is 0.74. The attribute_5 is 0.0. The attribute_6 is 0.04. The attribute_7 is 0.93. The attribute_8 is 0.12. The attribute_9 is 0.19. The attribute_10 is 0.19. The attribute_11 is 0.09. The attribute_12 is 0.75. The attribute_13 is 0.09. The attribute_14 is 0.85. The attribute_15 is 0.94. The attribute_16 is 0.79. The attribute_17 is 0.02. The attribute_18 is 0.93. The attribute_19 is 0.81. The attribute_20 is 0.28.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.25. The attribute_1 is 0.41. The attribute_2 is 0.28. The attribute_3 is 0.98. The attribute_4 is 0.96. The attribute_5 is 0.76. The attribute_6 is 0.67. The attribute_7 is 0.24. The attribute_8 is 0.67. The attribute_9 is 0.22. The attribute_10 is 0.17. The attribute_11 is 0.74. The attribute_12 is 0.84. The attribute_13 is 0.94. The attribute_14 is 0.95. The attribute_15 is 0.88. The attribute_16 is 0.98. The attribute_17 is 0.26. The attribute_18 is 0.14. The attribute_19 is 0.99. The attribute_20 is 0.22.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.84. The attribute_1 is 0.65. The attribute_2 is 0.47. The attribute_3 is 0.32. The attribute_4 is 0.93. The attribute_5 is 0.44. The attribute_6 is 0.94. The attribute_7 is 0.39. The attribute_8 is 0.66. The attribute_9 is 0.77. The attribute_10 is 0.5. The attribute_11 is 0.77. The attribute_12 is 0.78. The attribute_13 is 0.06. The attribute_14 is 0.61. The attribute_15 is 0.52. The attribute_16 is 0.94. The attribute_17 is 0.28. The attribute_18 is 0.02. The attribute_19 is 0.84. The attribute_20 is 0.4.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.59. The attribute_1 is 0.88. The attribute_2 is 0.47. The attribute_3 is 0.98. The attribute_4 is 0.33. The attribute_5 is 0.9. The attribute_6 is 0.64. The attribute_7 is 0.42. The attribute_8 is 0.47. The attribute_9 is 0.47. The attribute_10 is 0.85. The attribute_11 is 0.59. The attribute_12 is 0.56. The attribute_13 is 0.98. The attribute_14 is 0.69. The attribute_15 is 0.41. The attribute_16 is 0.6. The attribute_17 is 0.72. The attribute_18 is 0.49. The attribute_19 is 0.41. The attribute_20 is 0.76.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.85. The attribute_1 is 0.11. The attribute_2 is 0.26. The attribute_3 is 0.3. The attribute_4 is 0.23. The attribute_5 is 0.37. The attribute_6 is 0.35. The attribute_7 is 0.4. The attribute_8 is 0.27. The attribute_9 is 0.17. The attribute_10 is 0.32. The attribute_11 is 0.11. The attribute_12 is 0.36. The attribute_13 is 0.5. The attribute_14 is 0.54. The attribute_15 is 0.19. The attribute_16 is 0.25. The attribute_17 is 0.37. The attribute_18 is 0.7. The attribute_19 is 0.08. The attribute_20 is 0.01.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.06. The attribute_1 is 0.91. The attribute_2 is 0.92. The attribute_3 is 0.44. The attribute_4 is 0.79. The attribute_5 is 0.84. The attribute_6 is 0.75. The attribute_7 is 0.17. The attribute_8 is 0.77. The attribute_9 is 0.38. The attribute_10 is 0.74. The attribute_11 is 0.79. The attribute_12 is 0.16. The attribute_13 is 0.52. The attribute_14 is 0.63. The attribute_15 is 0.63. The attribute_16 is 0.94. The attribute_17 is 0.85. The attribute_18 is 0.48. The attribute_19 is 0.88. The attribute_20 is 0.8.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.56. The attribute_1 is 0.13. The attribute_2 is 0.31. The attribute_3 is 0.39. The attribute_4 is 0.18. The attribute_5 is 0.34. The attribute_6 is 0.4. The attribute_7 is 0.34. The attribute_8 is 0.53. The attribute_9 is 0.73. The attribute_10 is 0.68. The attribute_11 is 0.14. The attribute_12 is 0.38. The attribute_13 is 0.37. The attribute_14 is 0.4. The attribute_15 is 0.35. The attribute_16 is 0.31. The attribute_17 is 0.36. The attribute_18 is 0.45. The attribute_19 is 0.19. The attribute_20 is 0.5.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.91. The attribute_1 is 0.2. The attribute_2 is 0.32. The attribute_3 is 0.07. The attribute_4 is 0.52. The attribute_5 is 0.06. The attribute_6 is 0.25. The attribute_7 is 0.95. The attribute_8 is 0.51. The attribute_9 is 0.68. The attribute_10 is 0.69. The attribute_11 is 0.5. The attribute_12 is 0.83. The attribute_13 is 0.01. The attribute_14 is 0.8. The attribute_15 is 0.32. The attribute_16 is 0.77. The attribute_17 is 0.24. The attribute_18 is 0.77. The attribute_19 is 0.43. The attribute_20 is 0.72.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.62. The attribute_1 is 0.34. The attribute_2 is 0.11. The attribute_3 is 0.16. The attribute_4 is 0.12. The attribute_5 is 0.53. The attribute_6 is 0.36. The attribute_7 is 0.58. The attribute_8 is 0.43. The attribute_9 is 0.33. The attribute_10 is 0.44. The attribute_11 is 0.76. The attribute_12 is 0.4. The attribute_13 is 0.24. The attribute_14 is 0.55. The attribute_15 is 0.46. The attribute_16 is 0.3. The attribute_17 is 0.17. The attribute_18 is 0.17. The attribute_19 is 0.19. The attribute_20 is 0.56.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 1.0. The attribute_1 is 0.4. The attribute_2 is 0.56. The attribute_3 is 0.81. The attribute_4 is 0.22. The attribute_5 is 0.69. The attribute_6 is 0.35. The attribute_7 is 0.87. The attribute_8 is 0.08. The attribute_9 is 0.85. The attribute_10 is 0.67. The attribute_11 is 0.62. The attribute_12 is 0.02. The attribute_13 is 0.69. The attribute_14 is 0.07. The attribute_15 is 0.19. The attribute_16 is 0.21. The attribute_17 is 0.22. The attribute_18 is 0.84. The attribute_19 is 0.23. The attribute_20 is 0.68.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.98. The attribute_1 is 0.27. The attribute_2 is 0.04. The attribute_3 is 0.0. The attribute_4 is 0.94. The attribute_5 is 0.07. The attribute_6 is 0.11. The attribute_7 is 0.73. The attribute_8 is 0.14. The attribute_9 is 0.32. The attribute_10 is 0.09. The attribute_11 is 0.02. The attribute_12 is 0.93. The attribute_13 is 0.04. The attribute_14 is 0.99. The attribute_15 is 0.96. The attribute_16 is 0.88. The attribute_17 is 0.12. The attribute_18 is 0.84. The attribute_19 is 0.87. The attribute_20 is 0.11.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.63. The attribute_1 is 0.13. The attribute_2 is 0.23. The attribute_3 is 0.59. The attribute_4 is 0.15. The attribute_5 is 0.78. The attribute_6 is 0.07. The attribute_7 is 0.93. The attribute_8 is 0.35. The attribute_9 is 0.43. The attribute_10 is 0.22. The attribute_11 is 0.05. The attribute_12 is 0.92. The attribute_13 is 0.75. The attribute_14 is 0.67. The attribute_15 is 0.71. The attribute_16 is 0.54. The attribute_17 is 0.12. The attribute_18 is 0.88. The attribute_19 is 0.5. The attribute_20 is 0.44.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.85. The attribute_1 is 0.47. The attribute_2 is 0.16. The attribute_3 is 0.6. The attribute_4 is 0.05. The attribute_5 is 0.56. The attribute_6 is 0.46. The attribute_7 is 0.79. The attribute_8 is 0.41. The attribute_9 is 0.05. The attribute_10 is 0.0. The attribute_11 is 0.6. The attribute_12 is 0.2. The attribute_13 is 0.72. The attribute_14 is 0.05. The attribute_15 is 0.04. The attribute_16 is 0.02. The attribute_17 is 0.19. The attribute_18 is 0.68. The attribute_19 is 0.02. The attribute_20 is 0.0.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.83. The attribute_1 is 0.09. The attribute_2 is 0.16. The attribute_3 is 0.52. The attribute_4 is 0.59. The attribute_5 is 0.46. The attribute_6 is 0.18. The attribute_7 is 0.79. The attribute_8 is 0.18. The attribute_9 is 0.06. The attribute_10 is 0.11. The attribute_11 is 0.24. The attribute_12 is 0.71. The attribute_13 is 0.58. The attribute_14 is 0.64. The attribute_15 is 0.74. The attribute_16 is 0.36. The attribute_17 is 0.15. The attribute_18 is 0.97. The attribute_19 is 0.53. The attribute_20 is 0.02.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.79. The attribute_1 is 0.27. The attribute_2 is 0.3. The attribute_3 is 0.17. The attribute_4 is 0.92. The attribute_5 is 0.26. The attribute_6 is 0.52. The attribute_7 is 0.58. The attribute_8 is 0.63. The attribute_9 is 0.41. The attribute_10 is 0.19. The attribute_11 is 0.81. The attribute_12 is 0.9. The attribute_13 is 0.28. The attribute_14 is 0.88. The attribute_15 is 0.85. The attribute_16 is 0.93. The attribute_17 is 0.28. The attribute_18 is 0.71. The attribute_19 is 0.92. The attribute_20 is 0.22.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.34. The attribute_1 is 0.64. The attribute_2 is 0.41. The attribute_3 is 0.5. The attribute_4 is 0.57. The attribute_5 is 0.42. The attribute_6 is 0.64. The attribute_7 is 0.21. The attribute_8 is 0.45. The attribute_9 is 0.56. The attribute_10 is 0.49. The attribute_11 is 0.49. The attribute_12 is 0.05. The attribute_13 is 0.37. The attribute_14 is 0.19. The attribute_15 is 0.32. The attribute_16 is 0.65. The attribute_17 is 0.76. The attribute_18 is 0.87. The attribute_19 is 0.64. The attribute_20 is 0.08.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.7. The attribute_1 is 0.08. The attribute_2 is 0.56. The attribute_3 is 0.55. The attribute_4 is 0.27. The attribute_5 is 0.22. The attribute_6 is 0.72. The attribute_7 is 0.88. The attribute_8 is 0.92. The attribute_9 is 0.2. The attribute_10 is 0.44. The attribute_11 is 0.15. The attribute_12 is 0.55. The attribute_13 is 0.24. The attribute_14 is 0.58. The attribute_15 is 0.23. The attribute_16 is 0.19. The attribute_17 is 0.37. The attribute_18 is 0.75. The attribute_19 is 0.15. The attribute_20 is 0.44.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.16. The attribute_1 is 0.98. The attribute_2 is 0.72. The attribute_3 is 0.77. The attribute_4 is 0.23. The attribute_5 is 0.78. The attribute_6 is 0.34. The attribute_7 is 0.23. The attribute_8 is 0.32. The attribute_9 is 0.6. The attribute_10 is 0.58. The attribute_11 is 0.61. The attribute_12 is 0.35. The attribute_13 is 0.88. The attribute_14 is 0.48. The attribute_15 is 0.53. The attribute_16 is 0.2. The attribute_17 is 0.82. The attribute_18 is 0.51. The attribute_19 is 0.26. The attribute_20 is 0.79.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.05. The attribute_1 is 0.97. The attribute_2 is 0.88. The attribute_3 is 0.42. The attribute_4 is 0.21. The attribute_5 is 0.31. The attribute_6 is 0.99. The attribute_7 is 0.02. The attribute_8 is 0.97. The attribute_9 is 0.09. The attribute_10 is 0.11. The attribute_11 is 0.98. The attribute_12 is 0.09. The attribute_13 is 0.65. The attribute_14 is 0.04. The attribute_15 is 0.16. The attribute_16 is 0.07. The attribute_17 is 0.94. The attribute_18 is 0.05. The attribute_19 is 0.04. The attribute_20 is 0.26.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.82. The attribute_1 is 0.05. The attribute_2 is 0.19. The attribute_3 is 0.02. The attribute_4 is 0.07. The attribute_5 is 0.19. The attribute_6 is 0.26. The attribute_7 is 0.74. The attribute_8 is 0.73. The attribute_9 is 0.11. The attribute_10 is 0.02. The attribute_11 is 0.18. The attribute_12 is 0.14. The attribute_13 is 0.28. The attribute_14 is 0.03. The attribute_15 is 0.19. The attribute_16 is 0.12. The attribute_17 is 0.03. The attribute_18 is 0.68. The attribute_19 is 0.06. The attribute_20 is 0.09.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.92. The attribute_1 is 0.81. The attribute_2 is 0.41. The attribute_3 is 0.54. The attribute_4 is 0.17. The attribute_5 is 0.76. The attribute_6 is 0.76. The attribute_7 is 0.51. The attribute_8 is 0.29. The attribute_9 is 0.27. The attribute_10 is 0.48. The attribute_11 is 0.55. The attribute_12 is 0.86. The attribute_13 is 0.81. The attribute_14 is 0.7. The attribute_15 is 0.83. The attribute_16 is 0.37. The attribute_17 is 0.82. The attribute_18 is 0.41. The attribute_19 is 0.47. The attribute_20 is 0.45.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.18. The attribute_1 is 0.83. The attribute_2 is 0.82. The attribute_3 is 0.72. The attribute_4 is 0.88. The attribute_5 is 0.81. The attribute_6 is 0.73. The attribute_7 is 0.2. The attribute_8 is 0.83. The attribute_9 is 0.41. The attribute_10 is 0.77. The attribute_11 is 0.84. The attribute_12 is 0.84. The attribute_13 is 0.83. The attribute_14 is 0.87. The attribute_15 is 0.74. The attribute_16 is 0.97. The attribute_17 is 0.83. The attribute_18 is 0.41. The attribute_19 is 0.87. The attribute_20 is 0.83.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.44. The attribute_1 is 0.45. The attribute_2 is 0.17. The attribute_3 is 0.4. The attribute_4 is 0.62. The attribute_5 is 0.67. The attribute_6 is 0.18. The attribute_7 is 0.52. The attribute_8 is 0.25. The attribute_9 is 0.42. The attribute_10 is 0.19. The attribute_11 is 0.29. The attribute_12 is 0.16. The attribute_13 is 0.55. The attribute_14 is 0.26. The attribute_15 is 0.32. The attribute_16 is 0.87. The attribute_17 is 0.19. The attribute_18 is 0.42. The attribute_19 is 0.79. The attribute_20 is 0.23.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.93. The attribute_1 is 0.47. The attribute_2 is 0.33. The attribute_3 is 0.23. The attribute_4 is 0.91. The attribute_5 is 0.24. The attribute_6 is 0.13. The attribute_7 is 0.92. The attribute_8 is 0.38. The attribute_9 is 0.66. The attribute_10 is 0.23. The attribute_11 is 0.44. The attribute_12 is 0.54. The attribute_13 is 0.07. The attribute_14 is 0.54. The attribute_15 is 0.47. The attribute_16 is 0.89. The attribute_17 is 0.17. The attribute_18 is 0.97. The attribute_19 is 0.71. The attribute_20 is 0.28.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.39. The attribute_1 is 0.54. The attribute_2 is 0.3. The attribute_3 is 0.03. The attribute_4 is 0.63. The attribute_5 is 0.49. The attribute_6 is 0.5. The attribute_7 is 0.65. The attribute_8 is 0.33. The attribute_9 is 0.27. The attribute_10 is 0.34. The attribute_11 is 0.53. The attribute_12 is 0.29. The attribute_13 is 0.3. The attribute_14 is 0.58. The attribute_15 is 0.9. The attribute_16 is 0.84. The attribute_17 is 0.49. The attribute_18 is 0.61. The attribute_19 is 0.86. The attribute_20 is 0.41.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.88. The attribute_1 is 0.03. The attribute_2 is 0.16. The attribute_3 is 0.04. The attribute_4 is 0.73. The attribute_5 is 0.01. The attribute_6 is 0.0. The attribute_7 is 0.84. The attribute_8 is 0.02. The attribute_9 is 0.01. The attribute_10 is 0.02. The attribute_11 is 0.11. The attribute_12 is 0.08. The attribute_13 is 0.14. The attribute_14 is 0.16. The attribute_15 is 0.11. The attribute_16 is 0.82. The attribute_17 is 0.08. The attribute_18 is 0.68. The attribute_19 is 0.88. The attribute_20 is 0.06.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.55. The attribute_1 is 0.04. The attribute_2 is 0.2. The attribute_3 is 0.47. The attribute_4 is 0.86. The attribute_5 is 0.7. The attribute_6 is 0.75. The attribute_7 is 0.07. The attribute_8 is 0.44. The attribute_9 is 0.78. The attribute_10 is 0.76. The attribute_11 is 0.97. The attribute_12 is 0.85. The attribute_13 is 0.8. The attribute_14 is 0.89. The attribute_15 is 0.85. The attribute_16 is 0.61. The attribute_17 is 0.19. The attribute_18 is 0.0. The attribute_19 is 0.71. The attribute_20 is 0.83.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.01. The attribute_1 is 0.88. The attribute_2 is 0.99. The attribute_3 is 0.59. The attribute_4 is 0.04. The attribute_5 is 0.96. The attribute_6 is 0.51. The attribute_7 is 0.1. The attribute_8 is 0.65. The attribute_9 is 0.59. The attribute_10 is 0.38. The attribute_11 is 0.88. The attribute_12 is 0.52. The attribute_13 is 0.52. The attribute_14 is 0.22. The attribute_15 is 0.08. The attribute_16 is 0.23. The attribute_17 is 0.86. The attribute_18 is 0.03. The attribute_19 is 0.03. The attribute_20 is 0.45.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.66. The attribute_1 is 0.76. The attribute_2 is 0.66. The attribute_3 is 0.18. The attribute_4 is 0.59. The attribute_5 is 0.34. The attribute_6 is 0.72. The attribute_7 is 0.35. The attribute_8 is 0.55. The attribute_9 is 0.45. The attribute_10 is 0.68. The attribute_11 is 0.85. The attribute_12 is 0.53. The attribute_13 is 0.48. The attribute_14 is 0.46. The attribute_15 is 0.73. The attribute_16 is 0.55. The attribute_17 is 0.8. The attribute_18 is 0.46. The attribute_19 is 0.64. The attribute_20 is 0.61.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.56. The attribute_1 is 0.57. The attribute_2 is 0.52. The attribute_3 is 0.18. The attribute_4 is 0.62. The attribute_5 is 0.21. The attribute_6 is 0.73. The attribute_7 is 0.52. The attribute_8 is 0.81. The attribute_9 is 0.43. The attribute_10 is 0.21. The attribute_11 is 0.98. The attribute_12 is 0.18. The attribute_13 is 0.22. The attribute_14 is 0.5. The attribute_15 is 0.47. The attribute_16 is 0.7. The attribute_17 is 0.39. The attribute_18 is 0.66. The attribute_19 is 0.68. The attribute_20 is 0.33.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.16. The attribute_1 is 0.14. The attribute_2 is 0.57. The attribute_3 is 0.56. The attribute_4 is 0.32. The attribute_5 is 0.52. The attribute_6 is 0.86. The attribute_7 is 0.15. The attribute_8 is 0.91. The attribute_9 is 0.07. The attribute_10 is 0.16. The attribute_11 is 0.78. The attribute_12 is 0.48. The attribute_13 is 0.73. The attribute_14 is 0.55. The attribute_15 is 0.68. The attribute_16 is 0.34. The attribute_17 is 0.71. The attribute_18 is 0.46. The attribute_19 is 0.42. The attribute_20 is 0.01.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.71. The attribute_1 is 0.49. The attribute_2 is 0.42. The attribute_3 is 0.21. The attribute_4 is 0.12. The attribute_5 is 0.05. The attribute_6 is 0.51. The attribute_7 is 0.62. The attribute_8 is 0.38. The attribute_9 is 0.38. The attribute_10 is 0.54. The attribute_11 is 0.45. The attribute_12 is 0.37. The attribute_13 is 0.35. The attribute_14 is 0.36. The attribute_15 is 0.51. The attribute_16 is 0.25. The attribute_17 is 0.48. The attribute_18 is 0.65. The attribute_19 is 0.26. The attribute_20 is 0.61.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.73. The attribute_1 is 0.3. The attribute_2 is 0.1. The attribute_3 is 0.56. The attribute_4 is 0.69. The attribute_5 is 0.59. The attribute_6 is 0.55. The attribute_7 is 0.49. The attribute_8 is 0.12. The attribute_9 is 0.5. The attribute_10 is 0.76. The attribute_11 is 0.46. The attribute_12 is 0.18. The attribute_13 is 0.81. The attribute_14 is 0.2. The attribute_15 is 0.18. The attribute_16 is 0.63. The attribute_17 is 0.55. The attribute_18 is 0.51. The attribute_19 is 0.37. The attribute_20 is 0.53.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.49. The attribute_1 is 0.9. The attribute_2 is 0.91. The attribute_3 is 0.72. The attribute_4 is 0.06. The attribute_5 is 0.99. The attribute_6 is 0.96. The attribute_7 is 0.28. The attribute_8 is 0.71. The attribute_9 is 0.43. The attribute_10 is 0.45. The attribute_11 is 0.98. The attribute_12 is 0.11. The attribute_13 is 0.26. The attribute_14 is 0.06. The attribute_15 is 0.07. The attribute_16 is 0.6. The attribute_17 is 0.92. The attribute_18 is 0.06. The attribute_19 is 0.51. The attribute_20 is 0.07.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.82. The attribute_1 is 0.63. The attribute_2 is 0.25. The attribute_3 is 0.18. The attribute_4 is 0.37. The attribute_5 is 0.78. The attribute_6 is 0.74. The attribute_7 is 0.36. The attribute_8 is 0.31. The attribute_9 is 0.34. The attribute_10 is 0.48. The attribute_11 is 1.0. The attribute_12 is 0.47. The attribute_13 is 0.51. The attribute_14 is 0.58. The attribute_15 is 0.63. The attribute_16 is 0.32. The attribute_17 is 0.49. The attribute_18 is 0.27. The attribute_19 is 0.31. The attribute_20 is 0.57.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.98. The attribute_1 is 0.55. The attribute_2 is 0.09. The attribute_3 is 0.28. The attribute_4 is 0.59. The attribute_5 is 0.03. The attribute_6 is 0.36. The attribute_7 is 0.98. The attribute_8 is 0.05. The attribute_9 is 0.75. The attribute_10 is 0.82. The attribute_11 is 0.56. The attribute_12 is 0.44. The attribute_13 is 0.22. The attribute_14 is 0.51. The attribute_15 is 0.69. The attribute_16 is 0.81. The attribute_17 is 0.58. The attribute_18 is 0.95. The attribute_19 is 0.7. The attribute_20 is 0.97.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.33. The attribute_1 is 0.49. The attribute_2 is 0.19. The attribute_3 is 0.34. The attribute_4 is 0.44. The attribute_5 is 0.23. The attribute_6 is 0.18. The attribute_7 is 0.25. The attribute_8 is 0.22. The attribute_9 is 0.33. The attribute_10 is 0.76. The attribute_11 is 0.05. The attribute_12 is 0.18. The attribute_13 is 0.2. The attribute_14 is 0.39. The attribute_15 is 0.23. The attribute_16 is 0.35. The attribute_17 is 0.39. The attribute_18 is 0.17. The attribute_19 is 0.48. The attribute_20 is 0.97.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.36. The attribute_1 is 0.17. The attribute_2 is 0.21. The attribute_3 is 0.84. The attribute_4 is 0.82. The attribute_5 is 0.62. The attribute_6 is 0.24. The attribute_7 is 0.63. The attribute_8 is 0.41. The attribute_9 is 0.42. The attribute_10 is 0.29. The attribute_11 is 0.26. The attribute_12 is 0.24. The attribute_13 is 0.76. The attribute_14 is 0.11. The attribute_15 is 0.0. The attribute_16 is 0.89. The attribute_17 is 0.21. The attribute_18 is 0.44. The attribute_19 is 0.75. The attribute_20 is 0.51.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.06. The attribute_1 is 0.72. The attribute_2 is 0.91. The attribute_3 is 0.73. The attribute_4 is 0.58. The attribute_5 is 0.56. The attribute_6 is 0.13. The attribute_7 is 0.07. The attribute_8 is 0.37. The attribute_9 is 0.6. The attribute_10 is 0.5. The attribute_11 is 0.09. The attribute_12 is 0.42. The attribute_13 is 0.61. The attribute_14 is 0.32. The attribute_15 is 0.15. The attribute_16 is 0.5. The attribute_17 is 0.89. The attribute_18 is 0.13. The attribute_19 is 0.28. The attribute_20 is 0.55.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.17. The attribute_1 is 0.72. The attribute_2 is 0.82. The attribute_3 is 0.68. The attribute_4 is 0.49. The attribute_5 is 0.63. The attribute_6 is 0.79. The attribute_7 is 0.35. The attribute_8 is 0.75. The attribute_9 is 1.0. The attribute_10 is 0.95. The attribute_11 is 0.65. The attribute_12 is 0.37. The attribute_13 is 0.43. The attribute_14 is 0.53. The attribute_15 is 0.32. The attribute_16 is 0.51. The attribute_17 is 0.79. The attribute_18 is 0.3. The attribute_19 is 0.15. The attribute_20 is 0.87.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.45. The attribute_1 is 0.12. The attribute_2 is 0.29. The attribute_3 is 0.94. The attribute_4 is 0.79. The attribute_5 is 0.72. The attribute_6 is 0.25. The attribute_7 is 0.52. The attribute_8 is 0.16. The attribute_9 is 0.32. The attribute_10 is 0.17. The attribute_11 is 0.1. The attribute_12 is 0.55. The attribute_13 is 0.97. The attribute_14 is 0.5. The attribute_15 is 0.28. The attribute_16 is 0.93. The attribute_17 is 0.39. The attribute_18 is 0.54. The attribute_19 is 0.86. The attribute_20 is 0.29.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.09. The attribute_1 is 0.0. The attribute_2 is 0.02. The attribute_3 is 0.94. The attribute_4 is 0.08. The attribute_5 is 0.81. The attribute_6 is 0.9. The attribute_7 is 0.05. The attribute_8 is 0.9. The attribute_9 is 0.02. The attribute_10 is 0.03. The attribute_11 is 0.32. The attribute_12 is 0.04. The attribute_13 is 0.92. The attribute_14 is 0.04. The attribute_15 is 0.12. The attribute_16 is 0.01. The attribute_17 is 0.02. The attribute_18 is 0.42. The attribute_19 is 0.03. The attribute_20 is 0.09.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.44. The attribute_1 is 0.72. The attribute_2 is 0.31. The attribute_3 is 0.03. The attribute_4 is 0.39. The attribute_5 is 0.29. The attribute_6 is 0.15. The attribute_7 is 0.53. The attribute_8 is 0.18. The attribute_9 is 0.22. The attribute_10 is 0.14. The attribute_11 is 0.31. The attribute_12 is 0.73. The attribute_13 is 0.04. The attribute_14 is 0.89. The attribute_15 is 1.0. The attribute_16 is 0.81. The attribute_17 is 0.08. The attribute_18 is 0.28. The attribute_19 is 0.93. The attribute_20 is 0.71.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.28. The attribute_1 is 0.62. The attribute_2 is 0.45. The attribute_3 is 0.11. The attribute_4 is 0.26. The attribute_5 is 0.26. The attribute_6 is 0.58. The attribute_7 is 0.52. The attribute_8 is 0.45. The attribute_9 is 0.27. The attribute_10 is 0.29. The attribute_11 is 0.43. The attribute_12 is 0.73. The attribute_13 is 0.22. The attribute_14 is 0.69. The attribute_15 is 0.6. The attribute_16 is 0.2. The attribute_17 is 0.51. The attribute_18 is 0.54. The attribute_19 is 0.48. The attribute_20 is 0.42.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.68. The attribute_1 is 0.04. The attribute_2 is 0.2. The attribute_3 is 0.68. The attribute_4 is 0.82. The attribute_5 is 0.83. The attribute_6 is 0.71. The attribute_7 is 0.57. The attribute_8 is 0.46. The attribute_9 is 0.73. The attribute_10 is 0.54. The attribute_11 is 0.8. The attribute_12 is 0.7. The attribute_13 is 0.83. The attribute_14 is 0.52. The attribute_15 is 0.83. The attribute_16 is 0.81. The attribute_17 is 0.21. The attribute_18 is 0.23. The attribute_19 is 0.95. The attribute_20 is 0.17.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.94. The attribute_1 is 0.01. The attribute_2 is 0.01. The attribute_3 is 0.17. The attribute_4 is 0.33. The attribute_5 is 0.32. The attribute_6 is 0.15. The attribute_7 is 0.9. The attribute_8 is 0.01. The attribute_9 is 0.05. The attribute_10 is 0.01. The attribute_11 is 0.23. The attribute_12 is 0.93. The attribute_13 is 0.57. The attribute_14 is 0.85. The attribute_15 is 0.89. The attribute_16 is 0.25. The attribute_17 is 0.12. The attribute_18 is 0.97. The attribute_19 is 0.34. The attribute_20 is 0.06.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.11. The attribute_1 is 0.65. The attribute_2 is 0.76. The attribute_3 is 0.96. The attribute_4 is 0.14. The attribute_5 is 0.99. The attribute_6 is 0.96. The attribute_7 is 0.01. The attribute_8 is 0.89. The attribute_9 is 0.99. The attribute_10 is 0.89. The attribute_11 is 0.98. The attribute_12 is 0.08. The attribute_13 is 0.99. The attribute_14 is 0.15. The attribute_15 is 0.13. The attribute_16 is 0.24. The attribute_17 is 0.81. The attribute_18 is 0.08. The attribute_19 is 0.2. The attribute_20 is 0.58.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.6. The attribute_1 is 0.4. The attribute_2 is 0.65. The attribute_3 is 0.71. The attribute_4 is 0.05. The attribute_5 is 0.15. The attribute_6 is 0.67. The attribute_7 is 0.81. The attribute_8 is 0.53. The attribute_9 is 0.92. The attribute_10 is 0.96. The attribute_11 is 0.55. The attribute_12 is 0.09. The attribute_13 is 0.74. The attribute_14 is 0.04. The attribute_15 is 0.23. The attribute_16 is 0.02. The attribute_17 is 0.86. The attribute_18 is 0.38. The attribute_19 is 0.02. The attribute_20 is 0.72.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.91. The attribute_1 is 0.41. The attribute_2 is 0.22. The attribute_3 is 0.02. The attribute_4 is 0.08. The attribute_5 is 0.01. The attribute_6 is 0.24. The attribute_7 is 0.95. The attribute_8 is 0.37. The attribute_9 is 0.68. The attribute_10 is 0.62. The attribute_11 is 0.43. The attribute_12 is 0.02. The attribute_13 is 0.1. The attribute_14 is 0.08. The attribute_15 is 0.12. The attribute_16 is 0.1. The attribute_17 is 0.35. The attribute_18 is 0.95. The attribute_19 is 0.01. The attribute_20 is 0.86.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.82. The attribute_1 is 0.16. The attribute_2 is 0.09. The attribute_3 is 0.1. The attribute_4 is 0.23. The attribute_5 is 0.57. The attribute_6 is 0.5. The attribute_7 is 0.63. The attribute_8 is 0.41. The attribute_9 is 0.16. The attribute_10 is 0.11. The attribute_11 is 0.84. The attribute_12 is 0.42. The attribute_13 is 0.27. The attribute_14 is 0.8. The attribute_15 is 0.74. The attribute_16 is 0.39. The attribute_17 is 0.21. The attribute_18 is 0.48. The attribute_19 is 0.54. The attribute_20 is 0.21.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.24. The attribute_1 is 0.16. The attribute_2 is 0.44. The attribute_3 is 0.33. The attribute_4 is 0.78. The attribute_5 is 0.45. The attribute_6 is 0.12. The attribute_7 is 0.05. The attribute_8 is 0.25. The attribute_9 is 0.22. The attribute_10 is 0.18. The attribute_11 is 0.14. The attribute_12 is 0.89. The attribute_13 is 0.34. The attribute_14 is 0.8. The attribute_15 is 0.99. The attribute_16 is 0.74. The attribute_17 is 0.2. The attribute_18 is 0.31. The attribute_19 is 0.82. The attribute_20 is 0.17.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.25. The attribute_1 is 0.83. The attribute_2 is 0.63. The attribute_3 is 0.87. The attribute_4 is 0.37. The attribute_5 is 0.82. The attribute_6 is 0.36. The attribute_7 is 0.34. The attribute_8 is 0.54. The attribute_9 is 0.33. The attribute_10 is 0.2. The attribute_11 is 0.62. The attribute_12 is 0.46. The attribute_13 is 0.83. The attribute_14 is 0.55. The attribute_15 is 0.59. The attribute_16 is 0.48. The attribute_17 is 0.76. The attribute_18 is 0.59. The attribute_19 is 0.6. The attribute_20 is 0.35.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.72. The attribute_1 is 0.24. The attribute_2 is 0.22. The attribute_3 is 0.08. The attribute_4 is 0.32. The attribute_5 is 0.02. The attribute_6 is 0.75. The attribute_7 is 0.77. The attribute_8 is 0.62. The attribute_9 is 0.22. The attribute_10 is 0.44. The attribute_11 is 0.41. The attribute_12 is 0.78. The attribute_13 is 0.04. The attribute_14 is 0.54. The attribute_15 is 0.32. The attribute_16 is 0.27. The attribute_17 is 0.45. The attribute_18 is 0.65. The attribute_19 is 0.36. The attribute_20 is 0.29.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.09. The attribute_1 is 0.75. The attribute_2 is 0.88. The attribute_3 is 0.96. The attribute_4 is 0.17. The attribute_5 is 0.9. The attribute_6 is 0.82. The attribute_7 is 0.1. The attribute_8 is 0.92. The attribute_9 is 0.89. The attribute_10 is 0.96. The attribute_11 is 0.59. The attribute_12 is 0.31. The attribute_13 is 0.99. The attribute_14 is 0.08. The attribute_15 is 0.13. The attribute_16 is 0.04. The attribute_17 is 0.95. The attribute_18 is 0.05. The attribute_19 is 0.13. The attribute_20 is 0.95.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.17. The attribute_1 is 0.67. The attribute_2 is 0.34. The attribute_3 is 0.28. The attribute_4 is 0.96. The attribute_5 is 0.81. The attribute_6 is 0.74. The attribute_7 is 0.11. The attribute_8 is 0.66. The attribute_9 is 0.51. The attribute_10 is 0.57. The attribute_11 is 0.74. The attribute_12 is 0.44. The attribute_13 is 0.62. The attribute_14 is 0.27. The attribute_15 is 0.81. The attribute_16 is 0.81. The attribute_17 is 0.39. The attribute_18 is 0.12. The attribute_19 is 0.93. The attribute_20 is 0.84.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.49. The attribute_1 is 0.06. The attribute_2 is 0.54. The attribute_3 is 0.23. The attribute_4 is 0.14. The attribute_5 is 0.03. The attribute_6 is 0.37. The attribute_7 is 0.42. The attribute_8 is 0.61. The attribute_9 is 0.42. The attribute_10 is 0.71. The attribute_11 is 0.0. The attribute_12 is 0.09. The attribute_13 is 0.24. The attribute_14 is 0.58. The attribute_15 is 0.62. The attribute_16 is 0.06. The attribute_17 is 0.43. The attribute_18 is 0.97. The attribute_19 is 0.08. The attribute_20 is 0.92.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.25. The attribute_1 is 0.53. The attribute_2 is 0.87. The attribute_3 is 0.87. The attribute_4 is 0.01. The attribute_5 is 0.36. The attribute_6 is 0.64. The attribute_7 is 0.56. The attribute_8 is 0.81. The attribute_9 is 0.25. The attribute_10 is 0.07. The attribute_11 is 0.99. The attribute_12 is 0.27. The attribute_13 is 0.69. The attribute_14 is 0.22. The attribute_15 is 0.1. The attribute_16 is 0.44. The attribute_17 is 0.84. The attribute_18 is 0.51. The attribute_19 is 0.2. The attribute_20 is 0.3.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.58. The attribute_1 is 0.63. The attribute_2 is 0.67. The attribute_3 is 0.14. The attribute_4 is 0.38. The attribute_5 is 0.53. The attribute_6 is 0.51. The attribute_7 is 0.5. The attribute_8 is 0.72. The attribute_9 is 0.98. The attribute_10 is 0.9. The attribute_11 is 0.6. The attribute_12 is 0.23. The attribute_13 is 0.31. The attribute_14 is 0.36. The attribute_15 is 0.36. The attribute_16 is 0.51. The attribute_17 is 0.66. The attribute_18 is 0.37. The attribute_19 is 0.16. The attribute_20 is 0.77.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.26. The attribute_1 is 0.72. The attribute_2 is 0.72. The attribute_3 is 0.53. The attribute_4 is 0.98. The attribute_5 is 0.65. The attribute_6 is 0.84. The attribute_7 is 0.45. The attribute_8 is 0.72. The attribute_9 is 0.57. The attribute_10 is 0.78. The attribute_11 is 0.65. The attribute_12 is 0.59. The attribute_13 is 0.74. The attribute_14 is 0.55. The attribute_15 is 0.77. The attribute_16 is 0.94. The attribute_17 is 0.94. The attribute_18 is 0.37. The attribute_19 is 0.71. The attribute_20 is 0.73.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.65. The attribute_1 is 0.25. The attribute_2 is 0.18. The attribute_3 is 0.35. The attribute_4 is 0.24. The attribute_5 is 0.35. The attribute_6 is 0.1. The attribute_7 is 0.72. The attribute_8 is 0.25. The attribute_9 is 0.43. The attribute_10 is 0.44. The attribute_11 is 0.07. The attribute_12 is 0.54. The attribute_13 is 0.32. The attribute_14 is 0.37. The attribute_15 is 0.19. The attribute_16 is 0.19. The attribute_17 is 0.08. The attribute_18 is 0.83. The attribute_19 is 0.15. The attribute_20 is 0.42.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.16. The attribute_1 is 0.66. The attribute_2 is 0.86. The attribute_3 is 0.6. The attribute_4 is 0.52. The attribute_5 is 0.73. The attribute_6 is 0.84. The attribute_7 is 0.32. The attribute_8 is 0.99. The attribute_9 is 0.96. The attribute_10 is 0.8. The attribute_11 is 0.77. The attribute_12 is 0.42. The attribute_13 is 0.78. The attribute_14 is 0.43. The attribute_15 is 0.56. The attribute_16 is 0.58. The attribute_17 is 0.76. The attribute_18 is 0.2. The attribute_19 is 0.36. The attribute_20 is 0.74.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.9. The attribute_1 is 0.75. The attribute_2 is 0.95. The attribute_3 is 0.54. The attribute_4 is 0.75. The attribute_5 is 0.85. The attribute_6 is 0.87. The attribute_7 is 0.61. The attribute_8 is 0.61. The attribute_9 is 0.56. The attribute_10 is 0.13. The attribute_11 is 0.59. The attribute_12 is 0.08. The attribute_13 is 0.4. The attribute_14 is 0.01. The attribute_15 is 0.02. The attribute_16 is 0.95. The attribute_17 is 0.97. The attribute_18 is 0.58. The attribute_19 is 0.77. The attribute_20 is 0.18.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.48. The attribute_1 is 0.14. The attribute_2 is 0.83. The attribute_3 is 0.97. The attribute_4 is 0.47. The attribute_5 is 0.7. The attribute_6 is 0.9. The attribute_7 is 0.62. The attribute_8 is 0.89. The attribute_9 is 0.07. The attribute_10 is 0.09. The attribute_11 is 0.48. The attribute_12 is 0.29. The attribute_13 is 0.81. The attribute_14 is 0.36. The attribute_15 is 0.13. The attribute_16 is 0.13. The attribute_17 is 0.73. The attribute_18 is 0.25. The attribute_19 is 0.15. The attribute_20 is 0.35.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.43. The attribute_1 is 0.42. The attribute_2 is 0.35. The attribute_3 is 0.24. The attribute_4 is 0.66. The attribute_5 is 0.27. The attribute_6 is 0.45. The attribute_7 is 0.35. The attribute_8 is 0.52. The attribute_9 is 0.42. The attribute_10 is 0.54. The attribute_11 is 0.42. The attribute_12 is 0.66. The attribute_13 is 0.24. The attribute_14 is 0.46. The attribute_15 is 0.57. The attribute_16 is 0.46. The attribute_17 is 0.63. The attribute_18 is 0.52. The attribute_19 is 0.56. The attribute_20 is 0.42.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.12. The attribute_1 is 0.44. The attribute_2 is 0.29. The attribute_3 is 0.43. The attribute_4 is 0.81. The attribute_5 is 0.45. The attribute_6 is 0.21. The attribute_7 is 0.0. The attribute_8 is 0.38. The attribute_9 is 0.45. The attribute_10 is 0.49. The attribute_11 is 0.48. The attribute_12 is 0.32. The attribute_13 is 0.26. The attribute_14 is 0.63. The attribute_15 is 0.54. The attribute_16 is 0.59. The attribute_17 is 0.2. The attribute_18 is 0.11. The attribute_19 is 0.81. The attribute_20 is 0.53.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.03. The attribute_1 is 0.32. The attribute_2 is 0.65. The attribute_3 is 0.46. The attribute_4 is 0.68. The attribute_5 is 0.51. The attribute_6 is 0.46. The attribute_7 is 0.05. The attribute_8 is 0.42. The attribute_9 is 0.37. The attribute_10 is 0.48. The attribute_11 is 0.35. The attribute_12 is 0.47. The attribute_13 is 0.35. The attribute_14 is 0.62. The attribute_15 is 0.7. The attribute_16 is 0.61. The attribute_17 is 0.61. The attribute_18 is 0.3. The attribute_19 is 0.63. The attribute_20 is 0.44.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.33. The attribute_1 is 0.63. The attribute_2 is 0.54. The attribute_3 is 0.12. The attribute_4 is 0.24. The attribute_5 is 0.22. The attribute_6 is 0.67. The attribute_7 is 0.49. The attribute_8 is 0.38. The attribute_9 is 0.31. The attribute_10 is 0.32. The attribute_11 is 0.62. The attribute_12 is 0.93. The attribute_13 is 0.19. The attribute_14 is 0.77. The attribute_15 is 0.53. The attribute_16 is 0.21. The attribute_17 is 0.56. The attribute_18 is 0.59. The attribute_19 is 0.52. The attribute_20 is 0.32.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.29. The attribute_1 is 0.62. The attribute_2 is 0.49. The attribute_3 is 0.18. The attribute_4 is 0.3. The attribute_5 is 0.53. The attribute_6 is 0.82. The attribute_7 is 0.39. The attribute_8 is 0.7. The attribute_9 is 0.0. The attribute_10 is 0.02. The attribute_11 is 0.71. The attribute_12 is 0.26. The attribute_13 is 0.3. The attribute_14 is 0.2. The attribute_15 is 0.23. The attribute_16 is 0.5. The attribute_17 is 0.42. The attribute_18 is 0.23. The attribute_19 is 0.48. The attribute_20 is 0.01.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.4. The attribute_1 is 0.36. The attribute_2 is 0.27. The attribute_3 is 0.68. The attribute_4 is 0.21. The attribute_5 is 0.37. The attribute_6 is 0.75. The attribute_7 is 0.69. The attribute_8 is 0.62. The attribute_9 is 0.57. The attribute_10 is 0.76. The attribute_11 is 0.51. The attribute_12 is 0.33. The attribute_13 is 0.53. The attribute_14 is 0.36. The attribute_15 is 0.17. The attribute_16 is 0.12. The attribute_17 is 0.56. The attribute_18 is 0.76. The attribute_19 is 0.08. The attribute_20 is 0.77.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.53. The attribute_1 is 0.77. The attribute_2 is 0.59. The attribute_3 is 0.78. The attribute_4 is 0.15. The attribute_5 is 0.79. The attribute_6 is 1.0. The attribute_7 is 0.35. The attribute_8 is 0.98. The attribute_9 is 0.03. The attribute_10 is 0.03. The attribute_11 is 0.97. The attribute_12 is 0.46. The attribute_13 is 0.6. The attribute_14 is 0.41. The attribute_15 is 0.17. The attribute_16 is 0.18. The attribute_17 is 0.62. The attribute_18 is 0.14. The attribute_19 is 0.14. The attribute_20 is 0.09.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.98. The attribute_1 is 0.38. The attribute_2 is 0.0. The attribute_3 is 0.02. The attribute_4 is 0.94. The attribute_5 is 0.03. The attribute_6 is 0.27. The attribute_7 is 0.99. The attribute_8 is 0.0. The attribute_9 is 0.49. The attribute_10 is 0.42. The attribute_11 is 0.34. The attribute_12 is 0.93. The attribute_13 is 0.11. The attribute_14 is 0.98. The attribute_15 is 0.51. The attribute_16 is 0.79. The attribute_17 is 0.32. The attribute_18 is 0.89. The attribute_19 is 0.38. The attribute_20 is 0.74.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.18. The attribute_1 is 0.38. The attribute_2 is 0.39. The attribute_3 is 0.22. The attribute_4 is 0.35. The attribute_5 is 0.56. The attribute_6 is 0.6. The attribute_7 is 0.16. The attribute_8 is 0.38. The attribute_9 is 0.82. The attribute_10 is 0.7. The attribute_11 is 0.64. The attribute_12 is 0.18. The attribute_13 is 0.43. The attribute_14 is 0.43. The attribute_15 is 0.6. The attribute_16 is 0.37. The attribute_17 is 0.5. The attribute_18 is 0.07. The attribute_19 is 0.42. The attribute_20 is 0.62.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.25. The attribute_1 is 0.38. The attribute_2 is 0.71. The attribute_3 is 0.15. The attribute_4 is 0.56. The attribute_5 is 0.39. The attribute_6 is 0.67. The attribute_7 is 0.11. The attribute_8 is 0.5. The attribute_9 is 0.79. The attribute_10 is 0.78. The attribute_11 is 0.53. The attribute_12 is 0.45. The attribute_13 is 0.51. The attribute_14 is 0.1. The attribute_15 is 0.16. The attribute_16 is 0.38. The attribute_17 is 0.74. The attribute_18 is 0.2. The attribute_19 is 0.42. The attribute_20 is 0.58.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.79. The attribute_1 is 0.84. The attribute_2 is 0.29. The attribute_3 is 0.53. The attribute_4 is 0.38. The attribute_5 is 0.5. The attribute_6 is 0.13. The attribute_7 is 0.96. The attribute_8 is 0.38. The attribute_9 is 0.95. The attribute_10 is 0.98. The attribute_11 is 0.61. The attribute_12 is 0.76. The attribute_13 is 0.19. The attribute_14 is 0.59. The attribute_15 is 0.19. The attribute_16 is 0.25. The attribute_17 is 0.21. The attribute_18 is 0.26. The attribute_19 is 0.33. The attribute_20 is 0.94.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.21. The attribute_1 is 0.77. The attribute_2 is 0.78. The attribute_3 is 0.98. The attribute_4 is 0.62. The attribute_5 is 0.99. The attribute_6 is 0.85. The attribute_7 is 0.15. The attribute_8 is 0.66. The attribute_9 is 0.77. The attribute_10 is 0.58. The attribute_11 is 0.87. The attribute_12 is 0.01. The attribute_13 is 1.0. The attribute_14 is 0.01. The attribute_15 is 0.13. The attribute_16 is 0.64. The attribute_17 is 0.93. The attribute_18 is 0.08. The attribute_19 is 0.44. The attribute_20 is 0.61.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.09. The attribute_1 is 0.45. The attribute_2 is 0.51. The attribute_3 is 0.71. The attribute_4 is 0.9. The attribute_5 is 0.36. The attribute_6 is 0.73. The attribute_7 is 0.04. The attribute_8 is 0.59. The attribute_9 is 0.39. The attribute_10 is 0.17. The attribute_11 is 0.81. The attribute_12 is 0.74. The attribute_13 is 0.79. The attribute_14 is 0.63. The attribute_15 is 0.59. The attribute_16 is 0.95. The attribute_17 is 0.32. The attribute_18 is 0.12. The attribute_19 is 0.79. The attribute_20 is 0.2.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.75. The attribute_1 is 0.86. The attribute_2 is 0.65. The attribute_3 is 0.87. The attribute_4 is 0.89. The attribute_5 is 0.97. The attribute_6 is 0.32. The attribute_7 is 0.74. The attribute_8 is 0.51. The attribute_9 is 0.43. The attribute_10 is 0.35. The attribute_11 is 0.36. The attribute_12 is 0.44. The attribute_13 is 0.8. The attribute_14 is 0.46. The attribute_15 is 0.51. The attribute_16 is 0.63. The attribute_17 is 0.65. The attribute_18 is 0.69. The attribute_19 is 0.57. The attribute_20 is 0.33.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.06. The attribute_1 is 0.57. The attribute_2 is 0.3. The attribute_3 is 0.15. The attribute_4 is 0.75. The attribute_5 is 0.42. The attribute_6 is 0.54. The attribute_7 is 0.13. The attribute_8 is 0.45. The attribute_9 is 0.4. The attribute_10 is 0.39. The attribute_11 is 0.4. The attribute_12 is 0.29. The attribute_13 is 0.38. The attribute_14 is 0.24. The attribute_15 is 0.36. The attribute_16 is 0.59. The attribute_17 is 0.31. The attribute_18 is 0.49. The attribute_19 is 0.48. The attribute_20 is 0.57.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.66. The attribute_1 is 0.4. The attribute_2 is 0.15. The attribute_3 is 0.47. The attribute_4 is 0.3. The attribute_5 is 0.77. The attribute_6 is 0.14. The attribute_7 is 0.57. The attribute_8 is 0.25. The attribute_9 is 0.34. The attribute_10 is 0.34. The attribute_11 is 0.37. The attribute_12 is 0.68. The attribute_13 is 0.59. The attribute_14 is 0.21. The attribute_15 is 0.26. The attribute_16 is 0.12. The attribute_17 is 0.13. The attribute_18 is 0.6. The attribute_19 is 0.06. The attribute_20 is 0.74.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.26. The attribute_1 is 0.89. The attribute_2 is 0.92. The attribute_3 is 0.6. The attribute_4 is 0.18. The attribute_5 is 0.63. The attribute_6 is 0.32. The attribute_7 is 0.58. The attribute_8 is 0.83. The attribute_9 is 0.89. The attribute_10 is 0.8. The attribute_11 is 0.58. The attribute_12 is 0.08. The attribute_13 is 0.69. The attribute_14 is 0.03. The attribute_15 is 0.03. The attribute_16 is 0.24. The attribute_17 is 0.85. The attribute_18 is 0.57. The attribute_19 is 0.17. The attribute_20 is 0.86.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.18. The attribute_1 is 0.1. The attribute_2 is 0.61. The attribute_3 is 0.82. The attribute_4 is 0.13. The attribute_5 is 0.93. The attribute_6 is 0.41. The attribute_7 is 0.26. The attribute_8 is 0.66. The attribute_9 is 0.97. The attribute_10 is 0.9. The attribute_11 is 0.1. The attribute_12 is 0.05. The attribute_13 is 0.83. The attribute_14 is 0.58. The attribute_15 is 0.53. The attribute_16 is 0.72. The attribute_17 is 0.61. The attribute_18 is 0.5. The attribute_19 is 0.54. The attribute_20 is 1.0.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.61. The attribute_1 is 0.63. The attribute_2 is 0.73. The attribute_3 is 0.42. The attribute_4 is 0.19. The attribute_5 is 0.82. The attribute_6 is 0.76. The attribute_7 is 0.47. The attribute_8 is 0.58. The attribute_9 is 0.88. The attribute_10 is 0.86. The attribute_11 is 0.75. The attribute_12 is 0.15. The attribute_13 is 0.67. The attribute_14 is 0.3. The attribute_15 is 0.28. The attribute_16 is 0.39. The attribute_17 is 0.73. The attribute_18 is 0.0. The attribute_19 is 0.27. The attribute_20 is 0.74.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.29. The attribute_1 is 0.29. The attribute_2 is 0.22. The attribute_3 is 0.66. The attribute_4 is 0.69. The attribute_5 is 0.98. The attribute_6 is 0.56. The attribute_7 is 0.51. The attribute_8 is 0.45. The attribute_9 is 0.49. The attribute_10 is 0.41. The attribute_11 is 0.32. The attribute_12 is 0.97. The attribute_13 is 0.88. The attribute_14 is 0.95. The attribute_15 is 0.94. The attribute_16 is 0.74. The attribute_17 is 0.31. The attribute_18 is 0.79. The attribute_19 is 0.72. The attribute_20 is 0.23.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.45. The attribute_1 is 0.0. The attribute_2 is 0.6. The attribute_3 is 0.52. The attribute_4 is 0.12. The attribute_5 is 0.39. The attribute_6 is 0.45. The attribute_7 is 0.54. The attribute_8 is 0.71. The attribute_9 is 0.51. The attribute_10 is 0.82. The attribute_11 is 0.08. The attribute_12 is 0.92. The attribute_13 is 0.28. The attribute_14 is 0.88. The attribute_15 is 0.68. The attribute_16 is 0.39. The attribute_17 is 0.59. The attribute_18 is 0.88. The attribute_19 is 0.66. The attribute_20 is 0.48.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.7. The attribute_1 is 0.48. The attribute_2 is 0.2. The attribute_3 is 0.18. The attribute_4 is 0.67. The attribute_5 is 0.45. The attribute_6 is 0.25. The attribute_7 is 0.69. The attribute_8 is 0.17. The attribute_9 is 0.69. The attribute_10 is 0.5. The attribute_11 is 0.27. The attribute_12 is 0.82. The attribute_13 is 0.28. The attribute_14 is 0.6. The attribute_15 is 0.44. The attribute_16 is 0.81. The attribute_17 is 0.13. The attribute_18 is 0.8. The attribute_19 is 0.57. The attribute_20 is 0.6.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.16. The attribute_1 is 0.83. The attribute_2 is 0.78. The attribute_3 is 0.6. The attribute_4 is 0.26. The attribute_5 is 0.64. The attribute_6 is 0.8. The attribute_7 is 0.31. The attribute_8 is 0.76. The attribute_9 is 0.88. The attribute_10 is 0.89. The attribute_11 is 0.56. The attribute_12 is 0.18. The attribute_13 is 0.48. The attribute_14 is 0.16. The attribute_15 is 0.26. The attribute_16 is 0.24. The attribute_17 is 0.84. The attribute_18 is 0.14. The attribute_19 is 0.05. The attribute_20 is 0.83.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.15. The attribute_1 is 0.53. The attribute_2 is 0.64. The attribute_3 is 0.02. The attribute_4 is 0.84. The attribute_5 is 0.04. The attribute_6 is 0.96. The attribute_7 is 0.35. The attribute_8 is 0.94. The attribute_9 is 0.88. The attribute_10 is 0.84. The attribute_11 is 0.98. The attribute_12 is 0.85. The attribute_13 is 0.03. The attribute_14 is 0.82. The attribute_15 is 0.82. The attribute_16 is 0.89. The attribute_17 is 0.83. The attribute_18 is 0.34. The attribute_19 is 0.84. The attribute_20 is 0.78.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.53. The attribute_1 is 0.47. The attribute_2 is 0.7. The attribute_3 is 0.46. The attribute_4 is 0.85. The attribute_5 is 0.63. The attribute_6 is 0.23. The attribute_7 is 0.91. The attribute_8 is 0.76. The attribute_9 is 0.52. The attribute_10 is 0.55. The attribute_11 is 0.38. The attribute_12 is 0.8. The attribute_13 is 0.49. The attribute_14 is 0.92. The attribute_15 is 0.82. The attribute_16 is 0.79. The attribute_17 is 0.37. The attribute_18 is 0.95. The attribute_19 is 0.7. The attribute_20 is 0.48.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.53. The attribute_1 is 0.44. The attribute_2 is 0.65. The attribute_3 is 0.63. The attribute_4 is 0.85. The attribute_5 is 0.54. The attribute_6 is 0.66. The attribute_7 is 0.56. The attribute_8 is 0.74. The attribute_9 is 0.49. The attribute_10 is 0.27. The attribute_11 is 0.64. The attribute_12 is 0.46. The attribute_13 is 0.63. The attribute_14 is 0.5. The attribute_15 is 0.47. The attribute_16 is 0.75. The attribute_17 is 0.51. The attribute_18 is 0.72. The attribute_19 is 0.54. The attribute_20 is 0.2.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.27. The attribute_1 is 0.59. The attribute_2 is 0.65. The attribute_3 is 0.39. The attribute_4 is 0.67. The attribute_5 is 0.48. The attribute_6 is 0.75. The attribute_7 is 0.45. The attribute_8 is 0.95. The attribute_9 is 0.77. The attribute_10 is 0.91. The attribute_11 is 0.71. The attribute_12 is 0.87. The attribute_13 is 0.47. The attribute_14 is 0.92. The attribute_15 is 0.93. The attribute_16 is 0.56. The attribute_17 is 0.66. The attribute_18 is 0.6. The attribute_19 is 0.42. The attribute_20 is 0.99.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.09. The attribute_1 is 0.8. The attribute_2 is 0.92. The attribute_3 is 0.62. The attribute_4 is 0.87. The attribute_5 is 0.43. The attribute_6 is 0.5. The attribute_7 is 0.26. The attribute_8 is 0.99. The attribute_9 is 0.59. The attribute_10 is 0.88. The attribute_11 is 0.72. The attribute_12 is 0.86. The attribute_13 is 0.47. The attribute_14 is 0.79. The attribute_15 is 0.82. The attribute_16 is 0.68. The attribute_17 is 0.73. The attribute_18 is 0.1. The attribute_19 is 0.56. The attribute_20 is 0.74.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.74. The attribute_1 is 0.26. The attribute_2 is 0.26. The attribute_3 is 0.01. The attribute_4 is 0.43. The attribute_5 is 0.04. The attribute_6 is 0.49. The attribute_7 is 0.59. The attribute_8 is 0.4. The attribute_9 is 0.61. The attribute_10 is 0.42. The attribute_11 is 0.29. The attribute_12 is 0.17. The attribute_13 is 0.14. The attribute_14 is 0.57. The attribute_15 is 0.62. The attribute_16 is 0.27. The attribute_17 is 0.18. The attribute_18 is 0.46. The attribute_19 is 0.29. The attribute_20 is 0.68.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.15. The attribute_1 is 0.16. The attribute_2 is 0.63. The attribute_3 is 0.84. The attribute_4 is 0.33. The attribute_5 is 0.74. The attribute_6 is 0.6. The attribute_7 is 0.49. The attribute_8 is 0.82. The attribute_9 is 0.28. The attribute_10 is 0.21. The attribute_11 is 0.53. The attribute_12 is 0.34. The attribute_13 is 0.75. The attribute_14 is 0.38. The attribute_15 is 0.25. The attribute_16 is 0.51. The attribute_17 is 0.41. The attribute_18 is 0.68. The attribute_19 is 0.34. The attribute_20 is 0.17.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.74. The attribute_1 is 0.63. The attribute_2 is 0.94. The attribute_3 is 0.38. The attribute_4 is 0.18. The attribute_5 is 0.29. The attribute_6 is 0.8. The attribute_7 is 0.93. The attribute_8 is 0.89. The attribute_9 is 0.82. The attribute_10 is 0.96. The attribute_11 is 0.8. The attribute_12 is 0.67. The attribute_13 is 0.51. The attribute_14 is 0.62. The attribute_15 is 0.61. The attribute_16 is 0.12. The attribute_17 is 0.96. The attribute_18 is 0.53. The attribute_19 is 0.16. The attribute_20 is 0.7.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.25. The attribute_1 is 0.72. The attribute_2 is 0.76. The attribute_3 is 0.34. The attribute_4 is 0.53. The attribute_5 is 0.05. The attribute_6 is 0.41. The attribute_7 is 0.37. The attribute_8 is 0.43. The attribute_9 is 0.61. The attribute_10 is 0.78. The attribute_11 is 0.36. The attribute_12 is 0.77. The attribute_13 is 0.18. The attribute_14 is 0.64. The attribute_15 is 0.46. The attribute_16 is 0.65. The attribute_17 is 0.81. The attribute_18 is 0.42. The attribute_19 is 0.26. The attribute_20 is 0.85.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.92. The attribute_1 is 0.48. The attribute_2 is 0.25. The attribute_3 is 0.44. The attribute_4 is 0.65. The attribute_5 is 0.34. The attribute_6 is 0.21. The attribute_7 is 0.67. The attribute_8 is 0.2. The attribute_9 is 0.73. The attribute_10 is 0.28. The attribute_11 is 0.31. The attribute_12 is 0.67. The attribute_13 is 0.16. The attribute_14 is 0.85. The attribute_15 is 0.56. The attribute_16 is 0.71. The attribute_17 is 0.15. The attribute_18 is 0.54. The attribute_19 is 0.43. The attribute_20 is 0.34.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.29. The attribute_1 is 0.83. The attribute_2 is 0.76. The attribute_3 is 0.3. The attribute_4 is 0.76. The attribute_5 is 0.48. The attribute_6 is 0.42. The attribute_7 is 0.39. The attribute_8 is 0.39. The attribute_9 is 0.45. The attribute_10 is 0.72. The attribute_11 is 0.55. The attribute_12 is 0.54. The attribute_13 is 0.3. The attribute_14 is 0.49. The attribute_15 is 0.54. The attribute_16 is 0.93. The attribute_17 is 0.68. The attribute_18 is 0.36. The attribute_19 is 0.96. The attribute_20 is 0.79.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.79. The attribute_1 is 0.03. The attribute_2 is 0.04. The attribute_3 is 0.02. The attribute_4 is 0.45. The attribute_5 is 0.1. The attribute_6 is 0.39. The attribute_7 is 0.77. The attribute_8 is 0.54. The attribute_9 is 0.46. The attribute_10 is 0.32. The attribute_11 is 0.41. The attribute_12 is 0.04. The attribute_13 is 0.03. The attribute_14 is 0.37. The attribute_15 is 0.28. The attribute_16 is 0.53. The attribute_17 is 0.01. The attribute_18 is 0.79. The attribute_19 is 0.31. The attribute_20 is 0.08.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.94. The attribute_1 is 0.72. The attribute_2 is 0.26. The attribute_3 is 0.36. The attribute_4 is 0.65. The attribute_5 is 0.33. The attribute_6 is 0.16. The attribute_7 is 0.92. The attribute_8 is 0.19. The attribute_9 is 0.42. The attribute_10 is 0.7. The attribute_11 is 0.67. The attribute_12 is 0.34. The attribute_13 is 0.31. The attribute_14 is 0.38. The attribute_15 is 0.09. The attribute_16 is 0.77. The attribute_17 is 0.29. The attribute_18 is 0.54. The attribute_19 is 0.94. The attribute_20 is 0.97.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.83. The attribute_1 is 0.25. The attribute_2 is 0.24. The attribute_3 is 0.19. The attribute_4 is 0.91. The attribute_5 is 0.05. The attribute_6 is 0.12. The attribute_7 is 0.83. The attribute_8 is 0.12. The attribute_9 is 0.21. The attribute_10 is 0.35. The attribute_11 is 0.05. The attribute_12 is 0.78. The attribute_13 is 0.19. The attribute_14 is 0.75. The attribute_15 is 0.71. The attribute_16 is 0.95. The attribute_17 is 0.22. The attribute_18 is 0.88. The attribute_19 is 0.93. The attribute_20 is 0.31.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.32. The attribute_1 is 0.78. The attribute_2 is 0.75. The attribute_3 is 0.89. The attribute_4 is 0.85. The attribute_5 is 0.92. The attribute_6 is 0.8. The attribute_7 is 0.3. The attribute_8 is 0.82. The attribute_9 is 0.81. The attribute_10 is 0.49. The attribute_11 is 0.96. The attribute_12 is 0.25. The attribute_13 is 0.84. The attribute_14 is 0.2. The attribute_15 is 0.31. The attribute_16 is 0.81. The attribute_17 is 0.84. The attribute_18 is 0.27. The attribute_19 is 0.31. The attribute_20 is 0.54.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.45. The attribute_1 is 0.25. The attribute_2 is 0.3. The attribute_3 is 0.75. The attribute_4 is 0.12. The attribute_5 is 0.73. The attribute_6 is 0.69. The attribute_7 is 0.45. The attribute_8 is 0.64. The attribute_9 is 0.25. The attribute_10 is 0.24. The attribute_11 is 0.88. The attribute_12 is 0.02. The attribute_13 is 0.94. The attribute_14 is 0.02. The attribute_15 is 0.02. The attribute_16 is 0.0. The attribute_17 is 0.37. The attribute_18 is 0.29. The attribute_19 is 0.05. The attribute_20 is 0.09.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.25. The attribute_1 is 0.96. The attribute_2 is 0.88. The attribute_3 is 0.16. The attribute_4 is 0.18. The attribute_5 is 0.72. The attribute_6 is 0.94. The attribute_7 is 0.09. The attribute_8 is 0.87. The attribute_9 is 0.85. The attribute_10 is 0.89. The attribute_11 is 0.8. The attribute_12 is 0.04. The attribute_13 is 0.8. The attribute_14 is 0.07. The attribute_15 is 0.4. The attribute_16 is 0.18. The attribute_17 is 0.98. The attribute_18 is 0.0. The attribute_19 is 0.44. The attribute_20 is 0.79.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.71. The attribute_1 is 0.98. The attribute_2 is 0.39. The attribute_3 is 0.16. The attribute_4 is 0.22. The attribute_5 is 0.68. The attribute_6 is 0.7. The attribute_7 is 0.54. The attribute_8 is 0.49. The attribute_9 is 0.2. The attribute_10 is 0.42. The attribute_11 is 0.76. The attribute_12 is 0.24. The attribute_13 is 0.33. The attribute_14 is 0.31. The attribute_15 is 0.46. The attribute_16 is 0.3. The attribute_17 is 0.73. The attribute_18 is 0.34. The attribute_19 is 0.2. The attribute_20 is 0.32.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.06. The attribute_1 is 0.82. The attribute_2 is 0.84. The attribute_3 is 0.85. The attribute_4 is 0.15. The attribute_5 is 0.68. The attribute_6 is 0.86. The attribute_7 is 0.0. The attribute_8 is 0.83. The attribute_9 is 0.8. The attribute_10 is 0.84. The attribute_11 is 0.71. The attribute_12 is 0.58. The attribute_13 is 0.97. The attribute_14 is 0.45. The attribute_15 is 0.31. The attribute_16 is 0.21. The attribute_17 is 0.95. The attribute_18 is 0.61. The attribute_19 is 0.17. The attribute_20 is 0.74.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.89. The attribute_1 is 0.23. The attribute_2 is 0.14. The attribute_3 is 0.05. The attribute_4 is 0.07. The attribute_5 is 0.47. The attribute_6 is 0.22. The attribute_7 is 0.7. The attribute_8 is 0.15. The attribute_9 is 0.25. The attribute_10 is 0.51. The attribute_11 is 0.03. The attribute_12 is 0.5. The attribute_13 is 0.44. The attribute_14 is 0.51. The attribute_15 is 0.67. The attribute_16 is 0.1. The attribute_17 is 0.21. The attribute_18 is 0.63. The attribute_19 is 0.13. The attribute_20 is 0.26.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.23. The attribute_1 is 0.9. The attribute_2 is 0.84. The attribute_3 is 0.53. The attribute_4 is 0.95. The attribute_5 is 0.48. The attribute_6 is 0.92. The attribute_7 is 0.21. The attribute_8 is 0.92. The attribute_9 is 0.64. The attribute_10 is 0.48. The attribute_11 is 0.76. The attribute_12 is 0.41. The attribute_13 is 0.69. The attribute_14 is 0.23. The attribute_15 is 0.27. The attribute_16 is 0.82. The attribute_17 is 0.86. The attribute_18 is 0.52. The attribute_19 is 0.93. The attribute_20 is 0.15.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.1. The attribute_1 is 0.44. The attribute_2 is 0.2. The attribute_3 is 0.2. The attribute_4 is 0.78. The attribute_5 is 0.47. The attribute_6 is 0.64. The attribute_7 is 0.15. The attribute_8 is 0.5. The attribute_9 is 0.51. The attribute_10 is 0.32. The attribute_11 is 0.41. The attribute_12 is 0.45. The attribute_13 is 0.33. The attribute_14 is 0.41. The attribute_15 is 0.59. The attribute_16 is 0.66. The attribute_17 is 0.26. The attribute_18 is 0.34. The attribute_19 is 0.61. The attribute_20 is 0.22.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.4. The attribute_1 is 0.74. The attribute_2 is 0.84. The attribute_3 is 0.49. The attribute_4 is 0.93. The attribute_5 is 0.87. The attribute_6 is 0.68. The attribute_7 is 0.25. The attribute_8 is 0.71. The attribute_9 is 0.56. The attribute_10 is 0.32. The attribute_11 is 0.3. The attribute_12 is 0.43. The attribute_13 is 0.59. The attribute_14 is 0.73. The attribute_15 is 0.57. The attribute_16 is 0.81. The attribute_17 is 0.82. The attribute_18 is 0.29. The attribute_19 is 0.54. The attribute_20 is 0.15.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.55. The attribute_1 is 0.63. The attribute_2 is 0.49. The attribute_3 is 0.26. The attribute_4 is 0.35. The attribute_5 is 0.25. The attribute_6 is 0.67. The attribute_7 is 0.51. The attribute_8 is 0.64. The attribute_9 is 0.69. The attribute_10 is 0.52. The attribute_11 is 0.62. The attribute_12 is 0.31. The attribute_13 is 0.3. The attribute_14 is 0.46. The attribute_15 is 0.33. The attribute_16 is 0.41. The attribute_17 is 0.51. The attribute_18 is 0.44. The attribute_19 is 0.4. The attribute_20 is 0.86.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.02. The attribute_1 is 0.96. The attribute_2 is 0.72. The attribute_3 is 0.68. The attribute_4 is 0.96. The attribute_5 is 0.93. The attribute_6 is 0.94. The attribute_7 is 0.0. The attribute_8 is 0.94. The attribute_9 is 0.36. The attribute_10 is 0.16. The attribute_11 is 0.95. The attribute_12 is 0.13. The attribute_13 is 0.81. The attribute_14 is 0.14. The attribute_15 is 0.06. The attribute_16 is 0.94. The attribute_17 is 0.66. The attribute_18 is 0.03. The attribute_19 is 0.87. The attribute_20 is 0.09.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.49. The attribute_1 is 0.4. The attribute_2 is 0.41. The attribute_3 is 0.03. The attribute_4 is 0.07. The attribute_5 is 0.12. The attribute_6 is 0.53. The attribute_7 is 0.33. The attribute_8 is 0.43. The attribute_9 is 0.93. The attribute_10 is 0.9. The attribute_11 is 0.97. The attribute_12 is 0.02. The attribute_13 is 0.01. The attribute_14 is 0.55. The attribute_15 is 0.35. The attribute_16 is 0.33. The attribute_17 is 0.61. The attribute_18 is 0.01. The attribute_19 is 0.37. The attribute_20 is 0.51.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.5. The attribute_1 is 0.05. The attribute_2 is 0.03. The attribute_3 is 0.92. The attribute_4 is 0.98. The attribute_5 is 0.93. The attribute_6 is 0.54. The attribute_7 is 0.53. The attribute_8 is 0.54. The attribute_9 is 0.02. The attribute_10 is 0.1. The attribute_11 is 0.83. The attribute_12 is 0.05. The attribute_13 is 0.97. The attribute_14 is 0.04. The attribute_15 is 0.1. The attribute_16 is 0.99. The attribute_17 is 0.02. The attribute_18 is 0.35. The attribute_19 is 0.99. The attribute_20 is 0.03.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.4. The attribute_1 is 0.28. The attribute_2 is 0.53. The attribute_3 is 0.4. The attribute_4 is 0.14. The attribute_5 is 0.29. The attribute_6 is 0.28. The attribute_7 is 0.75. The attribute_8 is 0.38. The attribute_9 is 0.58. The attribute_10 is 0.66. The attribute_11 is 0.37. The attribute_12 is 0.19. The attribute_13 is 0.38. The attribute_14 is 0.33. The attribute_15 is 0.51. The attribute_16 is 0.26. The attribute_17 is 0.64. The attribute_18 is 0.66. The attribute_19 is 0.34. The attribute_20 is 0.17.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.39. The attribute_1 is 0.07. The attribute_2 is 0.36. The attribute_3 is 0.28. The attribute_4 is 0.53. The attribute_5 is 0.44. The attribute_6 is 0.65. The attribute_7 is 0.29. The attribute_8 is 0.73. The attribute_9 is 0.77. The attribute_10 is 0.2. The attribute_11 is 0.4. The attribute_12 is 0.99. The attribute_13 is 0.38. The attribute_14 is 0.84. The attribute_15 is 0.38. The attribute_16 is 0.64. The attribute_17 is 0.14. The attribute_18 is 0.6. The attribute_19 is 0.53. The attribute_20 is 0.3.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.3. The attribute_1 is 0.12. The attribute_2 is 0.6. The attribute_3 is 0.44. The attribute_4 is 0.14. The attribute_5 is 0.08. The attribute_6 is 0.68. The attribute_7 is 0.39. The attribute_8 is 0.6. The attribute_9 is 0.97. The attribute_10 is 0.99. The attribute_11 is 0.44. The attribute_12 is 0.04. The attribute_13 is 0.48. The attribute_14 is 0.34. The attribute_15 is 0.28. The attribute_16 is 0.24. The attribute_17 is 0.79. The attribute_18 is 0.34. The attribute_19 is 0.31. The attribute_20 is 0.96.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.26. The attribute_1 is 0.32. The attribute_2 is 0.5. The attribute_3 is 0.47. The attribute_4 is 0.54. The attribute_5 is 0.33. The attribute_6 is 0.72. The attribute_7 is 0.4. The attribute_8 is 0.68. The attribute_9 is 0.55. The attribute_10 is 0.48. The attribute_11 is 0.9. The attribute_12 is 0.62. The attribute_13 is 0.77. The attribute_14 is 0.5. The attribute_15 is 0.46. The attribute_16 is 0.79. The attribute_17 is 0.33. The attribute_18 is 0.5. The attribute_19 is 0.9. The attribute_20 is 0.54.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.14. The attribute_1 is 0.06. The attribute_2 is 0.14. The attribute_3 is 0.45. The attribute_4 is 0.97. The attribute_5 is 0.73. The attribute_6 is 0.58. The attribute_7 is 0.08. The attribute_8 is 0.57. The attribute_9 is 0.16. The attribute_10 is 0.05. The attribute_11 is 0.75. The attribute_12 is 0.03. The attribute_13 is 0.45. The attribute_14 is 0.14. The attribute_15 is 0.02. The attribute_16 is 1.0. The attribute_17 is 0.14. The attribute_18 is 0.08. The attribute_19 is 0.97. The attribute_20 is 0.03.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.9. The attribute_1 is 0.09. The attribute_2 is 0.05. The attribute_3 is 0.13. The attribute_4 is 0.34. The attribute_5 is 0.49. The attribute_6 is 0.19. The attribute_7 is 0.6. The attribute_8 is 0.16. The attribute_9 is 0.31. The attribute_10 is 0.46. The attribute_11 is 0.1. The attribute_12 is 0.17. The attribute_13 is 0.43. The attribute_14 is 0.69. The attribute_15 is 0.84. The attribute_16 is 0.56. The attribute_17 is 0.34. The attribute_18 is 0.52. The attribute_19 is 0.27. The attribute_20 is 0.17.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.27. The attribute_1 is 0.96. The attribute_2 is 0.8. The attribute_3 is 0.94. The attribute_4 is 0.72. The attribute_5 is 0.89. The attribute_6 is 0.63. The attribute_7 is 0.6. The attribute_8 is 0.67. The attribute_9 is 0.63. The attribute_10 is 0.92. The attribute_11 is 0.77. The attribute_12 is 0.84. The attribute_13 is 0.69. The attribute_14 is 0.81. The attribute_15 is 0.9. The attribute_16 is 0.63. The attribute_17 is 0.8. The attribute_18 is 0.46. The attribute_19 is 0.71. The attribute_20 is 0.66.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.17. The attribute_1 is 0.3. The attribute_2 is 0.52. The attribute_3 is 0.87. The attribute_4 is 0.81. The attribute_5 is 0.69. The attribute_6 is 0.39. The attribute_7 is 0.36. The attribute_8 is 0.62. The attribute_9 is 0.51. The attribute_10 is 0.67. The attribute_11 is 0.29. The attribute_12 is 0.08. The attribute_13 is 0.63. The attribute_14 is 0.06. The attribute_15 is 0.15. The attribute_16 is 0.78. The attribute_17 is 0.37. The attribute_18 is 0.61. The attribute_19 is 0.82. The attribute_20 is 0.52.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.18. The attribute_1 is 0.08. The attribute_2 is 0.9. The attribute_3 is 0.66. The attribute_4 is 0.02. The attribute_5 is 0.05. The attribute_6 is 0.43. The attribute_7 is 0.18. The attribute_8 is 0.71. The attribute_9 is 0.85. The attribute_10 is 0.8. The attribute_11 is 0.01. The attribute_12 is 0.0. The attribute_13 is 0.73. The attribute_14 is 0.44. The attribute_15 is 0.08. The attribute_16 is 0.53. The attribute_17 is 0.81. The attribute_18 is 0.96. The attribute_19 is 0.43. The attribute_20 is 0.98.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.77. The attribute_1 is 0.22. The attribute_2 is 0.21. The attribute_3 is 0.03. The attribute_4 is 0.87. The attribute_5 is 0.07. The attribute_6 is 0.03. The attribute_7 is 0.94. The attribute_8 is 0.16. The attribute_9 is 0.02. The attribute_10 is 0.02. The attribute_11 is 0.09. The attribute_12 is 0.89. The attribute_13 is 0.02. The attribute_14 is 0.81. The attribute_15 is 0.78. The attribute_16 is 0.92. The attribute_17 is 0.21. The attribute_18 is 0.93. The attribute_19 is 0.93. The attribute_20 is 0.09.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.51. The attribute_1 is 0.29. The attribute_2 is 0.29. The attribute_3 is 0.07. The attribute_4 is 0.7. The attribute_5 is 0.22. The attribute_6 is 0.61. The attribute_7 is 0.51. The attribute_8 is 0.53. The attribute_9 is 0.51. The attribute_10 is 0.24. The attribute_11 is 0.43. The attribute_12 is 0.7. The attribute_13 is 0.31. The attribute_14 is 0.94. The attribute_15 is 0.97. The attribute_16 is 0.79. The attribute_17 is 0.36. The attribute_18 is 0.57. The attribute_19 is 0.69. The attribute_20 is 0.16.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.46. The attribute_1 is 0.38. The attribute_2 is 0.69. The attribute_3 is 0.53. The attribute_4 is 0.47. The attribute_5 is 0.47. The attribute_6 is 0.34. The attribute_7 is 0.89. The attribute_8 is 0.79. The attribute_9 is 0.58. The attribute_10 is 0.72. The attribute_11 is 0.53. The attribute_12 is 0.34. The attribute_13 is 0.28. The attribute_14 is 0.58. The attribute_15 is 0.17. The attribute_16 is 0.43. The attribute_17 is 0.39. The attribute_18 is 0.95. The attribute_19 is 0.07. The attribute_20 is 0.63.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.34. The attribute_1 is 0.72. The attribute_2 is 0.6. The attribute_3 is 0.42. The attribute_4 is 0.9. The attribute_5 is 0.76. The attribute_6 is 0.98. The attribute_7 is 0.07. The attribute_8 is 0.79. The attribute_9 is 0.52. The attribute_10 is 0.72. The attribute_11 is 0.9. The attribute_12 is 0.6. The attribute_13 is 0.88. The attribute_14 is 0.63. The attribute_15 is 0.76. The attribute_16 is 0.93. The attribute_17 is 0.9. The attribute_18 is 0.1. The attribute_19 is 1.0. The attribute_20 is 0.55.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.14. The attribute_1 is 0.47. The attribute_2 is 0.09. The attribute_3 is 0.05. The attribute_4 is 0.94. The attribute_5 is 0.03. The attribute_6 is 0.86. The attribute_7 is 0.07. The attribute_8 is 0.58. The attribute_9 is 0.74. The attribute_10 is 0.89. The attribute_11 is 0.83. The attribute_12 is 0.98. The attribute_13 is 0.08. The attribute_14 is 0.94. The attribute_15 is 0.63. The attribute_16 is 0.94. The attribute_17 is 0.45. The attribute_18 is 0.08. The attribute_19 is 0.9. The attribute_20 is 0.85.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.53. The attribute_1 is 0.99. The attribute_2 is 0.82. The attribute_3 is 0.84. The attribute_4 is 0.7. The attribute_5 is 0.8. The attribute_6 is 0.66. The attribute_7 is 0.44. The attribute_8 is 0.73. The attribute_9 is 0.29. The attribute_10 is 0.39. The attribute_11 is 0.94. The attribute_12 is 0.72. The attribute_13 is 0.93. The attribute_14 is 0.65. The attribute_15 is 0.54. The attribute_16 is 0.8. The attribute_17 is 0.71. The attribute_18 is 0.08. The attribute_19 is 0.54. The attribute_20 is 0.32.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.93. The attribute_1 is 0.37. The attribute_2 is 0.26. The attribute_3 is 0.59. The attribute_4 is 0.32. The attribute_5 is 0.83. The attribute_6 is 0.35. The attribute_7 is 0.81. The attribute_8 is 0.16. The attribute_9 is 0.05. The attribute_10 is 0.03. The attribute_11 is 0.47. The attribute_12 is 0.84. The attribute_13 is 0.78. The attribute_14 is 0.78. The attribute_15 is 0.74. The attribute_16 is 0.51. The attribute_17 is 0.47. The attribute_18 is 0.7. The attribute_19 is 0.63. The attribute_20 is 0.06.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.9. The attribute_1 is 0.59. The attribute_2 is 0.52. The attribute_3 is 0.71. The attribute_4 is 0.3. The attribute_5 is 0.1. The attribute_6 is 0.39. The attribute_7 is 0.8. The attribute_8 is 0.13. The attribute_9 is 0.93. The attribute_10 is 0.67. The attribute_11 is 0.55. The attribute_12 is 0.73. The attribute_13 is 0.41. The attribute_14 is 0.85. The attribute_15 is 0.5. The attribute_16 is 0.13. The attribute_17 is 0.22. The attribute_18 is 0.55. The attribute_19 is 0.33. The attribute_20 is 0.7.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.49. The attribute_1 is 0.7. The attribute_2 is 0.37. The attribute_3 is 0.79. The attribute_4 is 0.16. The attribute_5 is 0.99. The attribute_6 is 0.76. The attribute_7 is 0.26. The attribute_8 is 0.71. The attribute_9 is 0.66. The attribute_10 is 0.79. The attribute_11 is 0.83. The attribute_12 is 0.06. The attribute_13 is 0.74. The attribute_14 is 0.2. The attribute_15 is 0.2. The attribute_16 is 0.25. The attribute_17 is 0.57. The attribute_18 is 0.41. The attribute_19 is 0.4. The attribute_20 is 0.79.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.03. The attribute_1 is 0.53. The attribute_2 is 0.74. The attribute_3 is 0.35. The attribute_4 is 0.63. The attribute_5 is 0.01. The attribute_6 is 0.9. The attribute_7 is 0.01. The attribute_8 is 1.0. The attribute_9 is 0.93. The attribute_10 is 0.91. The attribute_11 is 0.91. The attribute_12 is 0.39. The attribute_13 is 0.12. The attribute_14 is 0.21. The attribute_15 is 0.12. The attribute_16 is 0.4. The attribute_17 is 0.84. The attribute_18 is 0.13. The attribute_19 is 0.66. The attribute_20 is 0.7.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.69. The attribute_1 is 0.81. The attribute_2 is 0.7. The attribute_3 is 0.2. The attribute_4 is 0.76. The attribute_5 is 0.19. The attribute_6 is 0.84. The attribute_7 is 0.57. The attribute_8 is 0.73. The attribute_9 is 0.99. The attribute_10 is 0.91. The attribute_11 is 0.56. The attribute_12 is 0.7. The attribute_13 is 0.41. The attribute_14 is 0.62. The attribute_15 is 0.67. The attribute_16 is 0.41. The attribute_17 is 0.75. The attribute_18 is 0.58. The attribute_19 is 0.53. The attribute_20 is 0.93.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.37. The attribute_1 is 0.23. The attribute_2 is 0.46. The attribute_3 is 0.55. The attribute_4 is 0.92. The attribute_5 is 0.78. The attribute_6 is 0.53. The attribute_7 is 0.08. The attribute_8 is 0.44. The attribute_9 is 0.78. The attribute_10 is 0.33. The attribute_11 is 0.66. The attribute_12 is 0.39. The attribute_13 is 0.54. The attribute_14 is 0.64. The attribute_15 is 0.69. The attribute_16 is 0.8. The attribute_17 is 0.23. The attribute_18 is 0.06. The attribute_19 is 0.27. The attribute_20 is 0.26.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.16. The attribute_1 is 0.22. The attribute_2 is 0.69. The attribute_3 is 0.78. The attribute_4 is 0.31. The attribute_5 is 0.22. The attribute_6 is 0.48. The attribute_7 is 0.18. The attribute_8 is 0.83. The attribute_9 is 0.78. The attribute_10 is 0.87. The attribute_11 is 0.28. The attribute_12 is 0.76. The attribute_13 is 0.66. The attribute_14 is 0.46. The attribute_15 is 0.38. The attribute_16 is 0.13. The attribute_17 is 0.31. The attribute_18 is 0.75. The attribute_19 is 0.17. The attribute_20 is 0.53.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.02. The attribute_1 is 0.74. The attribute_2 is 0.99. The attribute_3 is 0.66. The attribute_4 is 0.68. The attribute_5 is 0.33. The attribute_6 is 0.98. The attribute_7 is 0.06. The attribute_8 is 0.97. The attribute_9 is 0.34. The attribute_10 is 0.55. The attribute_11 is 0.88. The attribute_12 is 0.5. The attribute_13 is 0.83. The attribute_14 is 0.42. The attribute_15 is 0.28. The attribute_16 is 0.56. The attribute_17 is 0.97. The attribute_18 is 0.17. The attribute_19 is 0.56. The attribute_20 is 0.3.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.48. The attribute_1 is 0.72. The attribute_2 is 0.79. The attribute_3 is 0.02. The attribute_4 is 0.25. The attribute_5 is 0.05. The attribute_6 is 0.78. The attribute_7 is 0.38. The attribute_8 is 0.78. The attribute_9 is 0.37. The attribute_10 is 0.46. The attribute_11 is 0.6. The attribute_12 is 0.57. The attribute_13 is 0.02. The attribute_14 is 0.63. The attribute_15 is 0.59. The attribute_16 is 0.69. The attribute_17 is 0.95. The attribute_18 is 0.62. The attribute_19 is 0.6. The attribute_20 is 0.22.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.47. The attribute_1 is 0.56. The attribute_2 is 0.35. The attribute_3 is 0.34. The attribute_4 is 0.57. The attribute_5 is 0.18. The attribute_6 is 0.34. The attribute_7 is 0.49. The attribute_8 is 0.11. The attribute_9 is 0.26. The attribute_10 is 0.02. The attribute_11 is 0.5. The attribute_12 is 0.63. The attribute_13 is 0.31. The attribute_14 is 0.53. The attribute_15 is 0.39. The attribute_16 is 0.59. The attribute_17 is 0.62. The attribute_18 is 0.65. The attribute_19 is 0.73. The attribute_20 is 0.15.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.18. The attribute_1 is 0.79. The attribute_2 is 0.71. The attribute_3 is 0.98. The attribute_4 is 0.04. The attribute_5 is 0.78. The attribute_6 is 0.93. The attribute_7 is 0.15. The attribute_8 is 0.81. The attribute_9 is 0.37. The attribute_10 is 0.7. The attribute_11 is 0.97. The attribute_12 is 0.26. The attribute_13 is 0.91. The attribute_14 is 0.37. The attribute_15 is 0.45. The attribute_16 is 0.12. The attribute_17 is 0.82. The attribute_18 is 0.38. The attribute_19 is 0.0. The attribute_20 is 0.55.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.18. The attribute_1 is 0.72. The attribute_2 is 0.94. The attribute_3 is 0.98. The attribute_4 is 0.13. The attribute_5 is 0.8. The attribute_6 is 0.78. The attribute_7 is 0.19. The attribute_8 is 0.89. The attribute_9 is 1.0. The attribute_10 is 0.98. The attribute_11 is 0.97. The attribute_12 is 0.2. The attribute_13 is 0.91. The attribute_14 is 0.08. The attribute_15 is 0.12. The attribute_16 is 0.22. The attribute_17 is 0.83. The attribute_18 is 0.06. The attribute_19 is 0.15. The attribute_20 is 0.99.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.99. The attribute_1 is 0.08. The attribute_2 is 0.03. The attribute_3 is 0.35. The attribute_4 is 0.94. The attribute_5 is 0.47. The attribute_6 is 0.01. The attribute_7 is 0.92. The attribute_8 is 0.01. The attribute_9 is 0.01. The attribute_10 is 0.03. The attribute_11 is 0.08. The attribute_12 is 0.99. The attribute_13 is 0.38. The attribute_14 is 0.97. The attribute_15 is 0.95. The attribute_16 is 0.89. The attribute_17 is 0.09. The attribute_18 is 0.93. The attribute_19 is 0.88. The attribute_20 is 0.09.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.22. The attribute_1 is 0.84. The attribute_2 is 0.8. The attribute_3 is 0.72. The attribute_4 is 0.31. The attribute_5 is 0.91. The attribute_6 is 0.91. The attribute_7 is 0.07. The attribute_8 is 0.92. The attribute_9 is 0.54. The attribute_10 is 0.33. The attribute_11 is 0.97. The attribute_12 is 0.17. The attribute_13 is 0.66. The attribute_14 is 0.55. The attribute_15 is 0.53. The attribute_16 is 0.63. The attribute_17 is 0.86. The attribute_18 is 0.05. The attribute_19 is 0.81. The attribute_20 is 0.23.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.57. The attribute_1 is 0.4. The attribute_2 is 0.46. The attribute_3 is 0.71. The attribute_4 is 0.63. The attribute_5 is 0.39. The attribute_6 is 0.9. The attribute_7 is 0.34. The attribute_8 is 0.9. The attribute_9 is 0.01. The attribute_10 is 0.03. The attribute_11 is 0.59. The attribute_12 is 0.66. The attribute_13 is 0.52. The attribute_14 is 0.52. The attribute_15 is 0.48. The attribute_16 is 0.89. The attribute_17 is 0.69. The attribute_18 is 0.5. The attribute_19 is 0.97. The attribute_20 is 0.11.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.81. The attribute_1 is 0.24. The attribute_2 is 0.14. The attribute_3 is 0.03. The attribute_4 is 0.16. The attribute_5 is 0.53. The attribute_6 is 0.41. The attribute_7 is 0.63. The attribute_8 is 0.2. The attribute_9 is 0.01. The attribute_10 is 0.03. The attribute_11 is 0.84. The attribute_12 is 0.45. The attribute_13 is 0.24. The attribute_14 is 0.65. The attribute_15 is 0.83. The attribute_16 is 0.39. The attribute_17 is 0.15. The attribute_18 is 0.49. The attribute_19 is 0.73. The attribute_20 is 0.12.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.01. The attribute_1 is 0.82. The attribute_2 is 0.52. The attribute_3 is 0.96. The attribute_4 is 0.28. The attribute_5 is 0.99. The attribute_6 is 0.99. The attribute_7 is 0.02. The attribute_8 is 0.97. The attribute_9 is 0.93. The attribute_10 is 0.78. The attribute_11 is 0.87. The attribute_12 is 0.12. The attribute_13 is 0.98. The attribute_14 is 0.04. The attribute_15 is 0.07. The attribute_16 is 0.04. The attribute_17 is 0.47. The attribute_18 is 0.07. The attribute_19 is 0.15. The attribute_20 is 0.95.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.05. The attribute_1 is 0.32. The attribute_2 is 0.78. The attribute_3 is 0.75. The attribute_4 is 0.68. The attribute_5 is 0.44. The attribute_6 is 0.45. The attribute_7 is 0.06. The attribute_8 is 0.73. The attribute_9 is 0.56. The attribute_10 is 0.72. The attribute_11 is 0.2. The attribute_12 is 0.53. The attribute_13 is 0.71. The attribute_14 is 0.19. The attribute_15 is 0.11. The attribute_16 is 0.89. The attribute_17 is 0.64. The attribute_18 is 0.36. The attribute_19 is 0.58. The attribute_20 is 0.5.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.64. The attribute_1 is 0.7. The attribute_2 is 0.81. The attribute_3 is 0.03. The attribute_4 is 0.17. The attribute_5 is 0.14. The attribute_6 is 0.54. The attribute_7 is 0.55. The attribute_8 is 0.49. The attribute_9 is 0.97. The attribute_10 is 0.95. The attribute_11 is 0.7. The attribute_12 is 0.16. The attribute_13 is 0.1. The attribute_14 is 0.16. The attribute_15 is 0.52. The attribute_16 is 0.15. The attribute_17 is 0.74. The attribute_18 is 0.49. The attribute_19 is 0.17. The attribute_20 is 0.93.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.92. The attribute_1 is 0.24. The attribute_2 is 0.04. The attribute_3 is 0.77. The attribute_4 is 0.32. The attribute_5 is 0.69. The attribute_6 is 0.14. The attribute_7 is 0.94. The attribute_8 is 0.37. The attribute_9 is 0.1. The attribute_10 is 0.55. The attribute_11 is 0.5. The attribute_12 is 0.22. The attribute_13 is 0.54. The attribute_14 is 0.47. The attribute_15 is 0.34. The attribute_16 is 0.64. The attribute_17 is 0.04. The attribute_18 is 0.55. The attribute_19 is 0.23. The attribute_20 is 0.88.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.11. The attribute_1 is 0.87. The attribute_2 is 0.89. The attribute_3 is 0.81. The attribute_4 is 0.18. The attribute_5 is 0.49. The attribute_6 is 0.96. The attribute_7 is 0.12. The attribute_8 is 1.0. The attribute_9 is 0.9. The attribute_10 is 0.91. The attribute_11 is 0.89. The attribute_12 is 0.1. The attribute_13 is 0.6. The attribute_14 is 0.02. The attribute_15 is 0.03. The attribute_16 is 0.2. The attribute_17 is 0.93. The attribute_18 is 0.25. The attribute_19 is 0.12. The attribute_20 is 0.96.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.93. The attribute_1 is 0.28. The attribute_2 is 0.3. The attribute_3 is 0.92. The attribute_4 is 0.91. The attribute_5 is 0.77. The attribute_6 is 0.31. The attribute_7 is 0.48. The attribute_8 is 0.04. The attribute_9 is 0.08. The attribute_10 is 0.06. The attribute_11 is 0.57. The attribute_12 is 0.75. The attribute_13 is 0.77. The attribute_14 is 0.92. The attribute_15 is 0.97. The attribute_16 is 0.99. The attribute_17 is 0.17. The attribute_18 is 0.37. The attribute_19 is 0.9. The attribute_20 is 0.14.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.03. The attribute_1 is 0.94. The attribute_2 is 0.92. The attribute_3 is 0.71. The attribute_4 is 0.1. The attribute_5 is 0.89. The attribute_6 is 0.92. The attribute_7 is 0.01. The attribute_8 is 0.99. The attribute_9 is 0.8. The attribute_10 is 0.74. The attribute_11 is 0.93. The attribute_12 is 0.73. The attribute_13 is 0.77. The attribute_14 is 0.89. The attribute_15 is 1.0. The attribute_16 is 0.27. The attribute_17 is 0.89. The attribute_18 is 0.05. The attribute_19 is 0.52. The attribute_20 is 0.69.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.22. The attribute_1 is 0.21. The attribute_2 is 0.55. The attribute_3 is 0.92. The attribute_4 is 0.17. The attribute_5 is 0.78. The attribute_6 is 0.44. The attribute_7 is 0.13. The attribute_8 is 0.46. The attribute_9 is 0.26. The attribute_10 is 0.17. The attribute_11 is 0.06. The attribute_12 is 0.02. The attribute_13 is 0.94. The attribute_14 is 0.07. The attribute_15 is 0.01. The attribute_16 is 0.2. The attribute_17 is 0.63. The attribute_18 is 0.47. The attribute_19 is 0.26. The attribute_20 is 0.02.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.71. The attribute_1 is 0.34. The attribute_2 is 0.26. The attribute_3 is 0.13. The attribute_4 is 0.72. The attribute_5 is 0.21. The attribute_6 is 0.27. The attribute_7 is 0.9. The attribute_8 is 0.3. The attribute_9 is 0.8. The attribute_10 is 0.92. The attribute_11 is 0.47. The attribute_12 is 0.26. The attribute_13 is 0.07. The attribute_14 is 0.36. The attribute_15 is 0.7. The attribute_16 is 0.65. The attribute_17 is 0.29. The attribute_18 is 0.79. The attribute_19 is 0.8. The attribute_20 is 0.83.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.89. The attribute_1 is 0.74. The attribute_2 is 0.98. The attribute_3 is 0.85. The attribute_4 is 0.59. The attribute_5 is 0.33. The attribute_6 is 0.52. The attribute_7 is 0.98. The attribute_8 is 0.49. The attribute_9 is 0.06. The attribute_10 is 0.03. The attribute_11 is 0.17. The attribute_12 is 0.41. The attribute_13 is 0.82. The attribute_14 is 0.07. The attribute_15 is 0.03. The attribute_16 is 0.6. The attribute_17 is 0.9. The attribute_18 is 0.88. The attribute_19 is 0.66. The attribute_20 is 0.14.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.12. The attribute_1 is 0.72. The attribute_2 is 0.79. The attribute_3 is 0.84. The attribute_4 is 0.92. The attribute_5 is 0.38. The attribute_6 is 0.96. The attribute_7 is 0.08. The attribute_8 is 0.98. The attribute_9 is 0.93. The attribute_10 is 0.97. The attribute_11 is 0.88. The attribute_12 is 0.81. The attribute_13 is 0.94. The attribute_14 is 0.5. The attribute_15 is 0.53. The attribute_16 is 0.21. The attribute_17 is 0.86. The attribute_18 is 0.24. The attribute_19 is 0.2. The attribute_20 is 0.77.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.54. The attribute_1 is 0.33. The attribute_2 is 0.32. The attribute_3 is 0.51. The attribute_4 is 0.87. The attribute_5 is 0.22. The attribute_6 is 0.66. The attribute_7 is 0.7. The attribute_8 is 0.69. The attribute_9 is 0.05. The attribute_10 is 0.04. The attribute_11 is 0.64. The attribute_12 is 0.95. The attribute_13 is 0.44. The attribute_14 is 0.95. The attribute_15 is 0.78. The attribute_16 is 0.92. The attribute_17 is 0.33. The attribute_18 is 0.78. The attribute_19 is 0.77. The attribute_20 is 0.11.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.2. The attribute_1 is 0.42. The attribute_2 is 0.21. The attribute_3 is 0.08. The attribute_4 is 0.78. The attribute_5 is 0.14. The attribute_6 is 0.37. The attribute_7 is 0.15. The attribute_8 is 0.19. The attribute_9 is 0.41. The attribute_10 is 0.49. The attribute_11 is 0.45. The attribute_12 is 0.22. The attribute_13 is 0.15. The attribute_14 is 0.55. The attribute_15 is 0.45. The attribute_16 is 0.91. The attribute_17 is 0.3. The attribute_18 is 0.25. The attribute_19 is 0.96. The attribute_20 is 0.54.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.53. The attribute_1 is 0.66. The attribute_2 is 0.7. The attribute_3 is 0.52. The attribute_4 is 0.37. The attribute_5 is 0.27. The attribute_6 is 0.94. The attribute_7 is 0.33. The attribute_8 is 0.98. The attribute_9 is 0.36. The attribute_10 is 0.39. The attribute_11 is 0.65. The attribute_12 is 0.51. The attribute_13 is 0.53. The attribute_14 is 0.46. The attribute_15 is 0.54. The attribute_16 is 0.11. The attribute_17 is 0.84. The attribute_18 is 0.35. The attribute_19 is 0.02. The attribute_20 is 0.49.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.97. The attribute_1 is 0.18. The attribute_2 is 0.39. The attribute_3 is 0.1. The attribute_4 is 0.01. The attribute_5 is 0.14. The attribute_6 is 0.12. The attribute_7 is 0.72. The attribute_8 is 0.12. The attribute_9 is 0.79. The attribute_10 is 0.2. The attribute_11 is 0.18. The attribute_12 is 0.24. The attribute_13 is 0.16. The attribute_14 is 0.28. The attribute_15 is 0.09. The attribute_16 is 0.07. The attribute_17 is 0.3. The attribute_18 is 0.84. The attribute_19 is 0.13. The attribute_20 is 0.27.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.29. The attribute_1 is 0.28. The attribute_2 is 0.3. The attribute_3 is 0.38. The attribute_4 is 0.09. The attribute_5 is 0.41. The attribute_6 is 0.73. The attribute_7 is 0.38. The attribute_8 is 0.77. The attribute_9 is 0.26. The attribute_10 is 0.11. The attribute_11 is 0.73. The attribute_12 is 0.24. The attribute_13 is 0.34. The attribute_14 is 0.11. The attribute_15 is 0.14. The attribute_16 is 0.01. The attribute_17 is 0.19. The attribute_18 is 0.48. The attribute_19 is 0.0. The attribute_20 is 0.27.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.82. The attribute_1 is 0.45. The attribute_2 is 0.41. The attribute_3 is 0.19. The attribute_4 is 0.46. The attribute_5 is 0.69. The attribute_6 is 0.31. The attribute_7 is 0.74. The attribute_8 is 0.25. The attribute_9 is 0.48. The attribute_10 is 0.24. The attribute_11 is 0.51. The attribute_12 is 0.17. The attribute_13 is 0.41. The attribute_14 is 0.27. The attribute_15 is 0.17. The attribute_16 is 0.64. The attribute_17 is 0.31. The attribute_18 is 0.82. The attribute_19 is 0.44. The attribute_20 is 0.44.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.01. The attribute_1 is 0.65. The attribute_2 is 0.82. The attribute_3 is 0.67. The attribute_4 is 0.47. The attribute_5 is 0.69. The attribute_6 is 0.98. The attribute_7 is 0.02. The attribute_8 is 0.98. The attribute_9 is 0.39. The attribute_10 is 0.23. The attribute_11 is 0.95. The attribute_12 is 0.86. The attribute_13 is 0.82. The attribute_14 is 0.89. The attribute_15 is 0.93. The attribute_16 is 0.47. The attribute_17 is 0.67. The attribute_18 is 0.01. The attribute_19 is 0.53. The attribute_20 is 0.19.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.56. The attribute_1 is 0.58. The attribute_2 is 0.77. The attribute_3 is 0.75. The attribute_4 is 0.65. The attribute_5 is 0.75. The attribute_6 is 0.68. The attribute_7 is 0.42. The attribute_8 is 0.6. The attribute_9 is 0.84. The attribute_10 is 0.5. The attribute_11 is 0.58. The attribute_12 is 0.75. The attribute_13 is 0.83. The attribute_14 is 0.87. The attribute_15 is 0.76. The attribute_16 is 0.8. The attribute_17 is 0.65. The attribute_18 is 0.42. The attribute_19 is 0.73. The attribute_20 is 0.54.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.03. The attribute_1 is 0.89. The attribute_2 is 0.63. The attribute_3 is 0.45. The attribute_4 is 0.14. The attribute_5 is 0.35. The attribute_6 is 0.99. The attribute_7 is 0.08. The attribute_8 is 0.97. The attribute_9 is 0.61. The attribute_10 is 0.8. The attribute_11 is 0.93. The attribute_12 is 0.48. The attribute_13 is 0.79. The attribute_14 is 0.15. The attribute_15 is 0.36. The attribute_16 is 0.08. The attribute_17 is 0.93. The attribute_18 is 0.04. The attribute_19 is 0.18. The attribute_20 is 0.86.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.57. The attribute_1 is 0.16. The attribute_2 is 0.55. The attribute_3 is 0.23. The attribute_4 is 0.34. The attribute_5 is 0.15. The attribute_6 is 0.16. The attribute_7 is 0.67. The attribute_8 is 0.54. The attribute_9 is 0.87. The attribute_10 is 0.93. The attribute_11 is 0.18. The attribute_12 is 0.52. The attribute_13 is 0.14. The attribute_14 is 0.56. The attribute_15 is 0.68. The attribute_16 is 0.47. The attribute_17 is 0.27. The attribute_18 is 0.74. The attribute_19 is 0.6. The attribute_20 is 0.87.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.86. The attribute_1 is 0.07. The attribute_2 is 0.15. The attribute_3 is 0.07. The attribute_4 is 0.97. The attribute_5 is 0.06. The attribute_6 is 0.02. The attribute_7 is 0.94. The attribute_8 is 0.01. The attribute_9 is 0.2. The attribute_10 is 0.25. The attribute_11 is 0.04. The attribute_12 is 0.88. The attribute_13 is 0.09. The attribute_14 is 0.84. The attribute_15 is 0.92. The attribute_16 is 0.8. The attribute_17 is 0.13. The attribute_18 is 0.88. The attribute_19 is 0.88. The attribute_20 is 0.04.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.62. The attribute_1 is 0.38. The attribute_2 is 0.63. The attribute_3 is 0.18. The attribute_4 is 0.78. The attribute_5 is 0.46. The attribute_6 is 0.69. The attribute_7 is 0.22. The attribute_8 is 0.52. The attribute_9 is 0.43. The attribute_10 is 0.6. The attribute_11 is 0.64. The attribute_12 is 0.69. The attribute_13 is 0.48. The attribute_14 is 0.87. The attribute_15 is 0.89. The attribute_16 is 0.81. The attribute_17 is 0.7. The attribute_18 is 0.25. The attribute_19 is 0.86. The attribute_20 is 0.39.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.86. The attribute_1 is 0.16. The attribute_2 is 0.57. The attribute_3 is 0.07. The attribute_4 is 0.61. The attribute_5 is 0.21. The attribute_6 is 0.64. The attribute_7 is 0.75. The attribute_8 is 0.53. The attribute_9 is 0.55. The attribute_10 is 0.56. The attribute_11 is 0.23. The attribute_12 is 0.63. The attribute_13 is 0.25. The attribute_14 is 0.63. The attribute_15 is 0.37. The attribute_16 is 0.72. The attribute_17 is 0.64. The attribute_18 is 0.76. The attribute_19 is 0.53. The attribute_20 is 0.64.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.25. The attribute_1 is 0.07. The attribute_2 is 0.63. The attribute_3 is 0.66. The attribute_4 is 0.91. The attribute_5 is 0.83. The attribute_6 is 0.99. The attribute_7 is 0.05. The attribute_8 is 0.99. The attribute_9 is 0.46. The attribute_10 is 0.48. The attribute_11 is 0.91. The attribute_12 is 0.4. The attribute_13 is 0.73. The attribute_14 is 0.79. The attribute_15 is 0.65. The attribute_16 is 0.97. The attribute_17 is 0.4. The attribute_18 is 0.01. The attribute_19 is 0.97. The attribute_20 is 0.56.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.45. The attribute_1 is 0.09. The attribute_2 is 0.31. The attribute_3 is 0.75. The attribute_4 is 0.88. The attribute_5 is 0.46. The attribute_6 is 0.61. The attribute_7 is 0.49. The attribute_8 is 0.73. The attribute_9 is 0.48. The attribute_10 is 0.7. The attribute_11 is 0.56. The attribute_12 is 0.57. The attribute_13 is 0.61. The attribute_14 is 0.54. The attribute_15 is 0.34. The attribute_16 is 0.96. The attribute_17 is 0.21. The attribute_18 is 0.66. The attribute_19 is 0.97. The attribute_20 is 0.66.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.86. The attribute_1 is 0.34. The attribute_2 is 0.44. The attribute_3 is 0.53. The attribute_4 is 0.14. The attribute_5 is 0.32. The attribute_6 is 0.16. The attribute_7 is 0.5. The attribute_8 is 0.38. The attribute_9 is 0.75. The attribute_10 is 0.86. The attribute_11 is 0.19. The attribute_12 is 0.3. The attribute_13 is 0.57. The attribute_14 is 0.31. The attribute_15 is 0.41. The attribute_16 is 0.15. The attribute_17 is 0.63. The attribute_18 is 0.57. The attribute_19 is 0.41. The attribute_20 is 0.69.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.06. The attribute_1 is 0.43. The attribute_2 is 0.25. The attribute_3 is 0.16. The attribute_4 is 0.81. The attribute_5 is 0.43. The attribute_6 is 0.19. The attribute_7 is 0.09. The attribute_8 is 0.29. The attribute_9 is 0.22. The attribute_10 is 0.12. The attribute_11 is 0.64. The attribute_12 is 0.7. The attribute_13 is 0.1. The attribute_14 is 0.74. The attribute_15 is 0.76. The attribute_16 is 0.86. The attribute_17 is 0.15. The attribute_18 is 0.26. The attribute_19 is 0.89. The attribute_20 is 0.15.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.86. The attribute_1 is 0.37. The attribute_2 is 0.23. The attribute_3 is 0.12. The attribute_4 is 0.42. The attribute_5 is 0.07. The attribute_6 is 0.18. The attribute_7 is 0.96. The attribute_8 is 0.26. The attribute_9 is 0.34. The attribute_10 is 0.3. The attribute_11 is 0.35. The attribute_12 is 0.91. The attribute_13 is 0.1. The attribute_14 is 0.84. The attribute_15 is 0.9. The attribute_16 is 0.54. The attribute_17 is 0.28. The attribute_18 is 0.87. The attribute_19 is 0.36. The attribute_20 is 0.5.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.72. The attribute_1 is 0.03. The attribute_2 is 0.48. The attribute_3 is 0.56. The attribute_4 is 0.09. The attribute_5 is 0.05. The attribute_6 is 0.31. The attribute_7 is 0.61. The attribute_8 is 0.53. The attribute_9 is 0.85. The attribute_10 is 0.54. The attribute_11 is 0.88. The attribute_12 is 0.09. The attribute_13 is 0.48. The attribute_14 is 0.36. The attribute_15 is 0.41. The attribute_16 is 0.45. The attribute_17 is 0.17. The attribute_18 is 0.92. The attribute_19 is 0.41. The attribute_20 is 0.99.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.83. The attribute_1 is 0.27. The attribute_2 is 0.25. The attribute_3 is 0.47. The attribute_4 is 0.15. The attribute_5 is 0.26. The attribute_6 is 0.32. The attribute_7 is 0.8. The attribute_8 is 0.34. The attribute_9 is 0.54. The attribute_10 is 0.19. The attribute_11 is 0.49. The attribute_12 is 0.62. The attribute_13 is 0.61. The attribute_14 is 0.72. The attribute_15 is 0.47. The attribute_16 is 0.36. The attribute_17 is 0.15. The attribute_18 is 0.74. The attribute_19 is 0.34. The attribute_20 is 0.63.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.56. The attribute_1 is 0.84. The attribute_2 is 0.31. The attribute_3 is 0.02. The attribute_4 is 0.9. The attribute_5 is 0.03. The attribute_6 is 0.36. The attribute_7 is 0.23. The attribute_8 is 0.3. The attribute_9 is 0.61. The attribute_10 is 0.65. The attribute_11 is 0.73. The attribute_12 is 0.94. The attribute_13 is 0.13. The attribute_14 is 0.76. The attribute_15 is 0.78. The attribute_16 is 0.6. The attribute_17 is 0.39. The attribute_18 is 0.25. The attribute_19 is 0.61. The attribute_20 is 0.38.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.06. The attribute_1 is 0.07. The attribute_2 is 0.05. The attribute_3 is 0.75. The attribute_4 is 0.11. The attribute_5 is 0.77. The attribute_6 is 0.36. The attribute_7 is 0.18. The attribute_8 is 0.29. The attribute_9 is 0.01. The attribute_10 is 0.0. The attribute_11 is 0.5. The attribute_12 is 0.48. The attribute_13 is 0.77. The attribute_14 is 0.0. The attribute_15 is 0.05. The attribute_16 is 0.01. The attribute_17 is 0.05. The attribute_18 is 0.09. The attribute_19 is 0.03. The attribute_20 is 0.15.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.79. The attribute_1 is 0.37. The attribute_2 is 0.15. The attribute_3 is 0.33. The attribute_4 is 0.26. The attribute_5 is 0.27. The attribute_6 is 0.35. The attribute_7 is 0.75. The attribute_8 is 0.25. The attribute_9 is 0.8. The attribute_10 is 0.92. The attribute_11 is 0.2. The attribute_12 is 0.72. The attribute_13 is 0.27. The attribute_14 is 0.74. The attribute_15 is 0.82. The attribute_16 is 0.46. The attribute_17 is 0.37. The attribute_18 is 0.53. The attribute_19 is 0.43. The attribute_20 is 0.95.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.76. The attribute_1 is 0.25. The attribute_2 is 0.36. The attribute_3 is 0.2. The attribute_4 is 0.17. The attribute_5 is 0.54. The attribute_6 is 0.76. The attribute_7 is 0.4. The attribute_8 is 0.77. The attribute_9 is 0.95. The attribute_10 is 0.42. The attribute_11 is 0.63. The attribute_12 is 0.16. The attribute_13 is 0.69. The attribute_14 is 0.31. The attribute_15 is 0.51. The attribute_16 is 0.38. The attribute_17 is 0.43. The attribute_18 is 0.34. The attribute_19 is 0.19. The attribute_20 is 0.24.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.25. The attribute_1 is 0.95. The attribute_2 is 0.97. The attribute_3 is 0.81. The attribute_4 is 0.8. The attribute_5 is 0.86. The attribute_6 is 0.98. The attribute_7 is 0.4. The attribute_8 is 0.97. The attribute_9 is 0.05. The attribute_10 is 0.03. The attribute_11 is 0.95. The attribute_12 is 0.59. The attribute_13 is 0.59. The attribute_14 is 0.57. The attribute_15 is 0.47. The attribute_16 is 0.66. The attribute_17 is 1.0. The attribute_18 is 0.13. The attribute_19 is 0.79. The attribute_20 is 0.02.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.34. The attribute_1 is 0.77. The attribute_2 is 0.82. The attribute_3 is 0.74. The attribute_4 is 0.78. The attribute_5 is 0.99. The attribute_6 is 0.37. The attribute_7 is 0.01. The attribute_8 is 0.73. The attribute_9 is 0.97. The attribute_10 is 0.71. The attribute_11 is 0.42. The attribute_12 is 0.85. The attribute_13 is 0.83. The attribute_14 is 0.86. The attribute_15 is 0.97. The attribute_16 is 0.89. The attribute_17 is 0.69. The attribute_18 is 0.14. The attribute_19 is 0.88. The attribute_20 is 0.53.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.22. The attribute_1 is 0.6. The attribute_2 is 0.65. The attribute_3 is 0.29. The attribute_4 is 0.34. The attribute_5 is 0.05. The attribute_6 is 0.29. The attribute_7 is 0.65. The attribute_8 is 0.54. The attribute_9 is 1.0. The attribute_10 is 0.92. The attribute_11 is 0.37. The attribute_12 is 0.07. The attribute_13 is 0.1. The attribute_14 is 0.25. The attribute_15 is 0.35. The attribute_16 is 0.67. The attribute_17 is 0.47. The attribute_18 is 0.22. The attribute_19 is 0.34. The attribute_20 is 0.88.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.63. The attribute_1 is 0.71. The attribute_2 is 0.92. The attribute_3 is 0.93. The attribute_4 is 0.83. The attribute_5 is 0.6. The attribute_6 is 0.64. The attribute_7 is 0.5. The attribute_8 is 0.66. The attribute_9 is 0.11. The attribute_10 is 0.07. The attribute_11 is 0.87. The attribute_12 is 0.75. The attribute_13 is 0.87. The attribute_14 is 0.94. The attribute_15 is 0.68. The attribute_16 is 0.96. The attribute_17 is 0.75. The attribute_18 is 0.45. The attribute_19 is 0.92. The attribute_20 is 0.01.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.01. The attribute_1 is 0.94. The attribute_2 is 0.99. The attribute_3 is 0.58. The attribute_4 is 0.14. The attribute_5 is 0.53. The attribute_6 is 0.95. The attribute_7 is 0.11. The attribute_8 is 0.96. The attribute_9 is 0.42. The attribute_10 is 0.67. The attribute_11 is 0.9. The attribute_12 is 0.89. The attribute_13 is 0.53. The attribute_14 is 1.0. The attribute_15 is 1.0. The attribute_16 is 0.19. The attribute_17 is 0.89. The attribute_18 is 0.05. The attribute_19 is 0.0. The attribute_20 is 0.74.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.88. The attribute_1 is 0.05. The attribute_2 is 0.34. The attribute_3 is 0.15. The attribute_4 is 0.67. The attribute_5 is 0.36. The attribute_6 is 0.31. The attribute_7 is 0.87. The attribute_8 is 0.21. The attribute_9 is 0.91. The attribute_10 is 0.83. The attribute_11 is 0.36. The attribute_12 is 0.65. The attribute_13 is 0.22. The attribute_14 is 0.55. The attribute_15 is 0.46. The attribute_16 is 0.46. The attribute_17 is 0.37. The attribute_18 is 0.87. The attribute_19 is 0.44. The attribute_20 is 0.94.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.98. The attribute_1 is 0.67. The attribute_2 is 0.88. The attribute_3 is 0.27. The attribute_4 is 0.42. The attribute_5 is 0.56. The attribute_6 is 0.64. The attribute_7 is 0.77. The attribute_8 is 0.93. The attribute_9 is 0.67. The attribute_10 is 0.5. The attribute_11 is 0.29. The attribute_12 is 0.43. The attribute_13 is 0.33. The attribute_14 is 0.04. The attribute_15 is 0.12. The attribute_16 is 0.13. The attribute_17 is 0.62. The attribute_18 is 0.56. The attribute_19 is 0.03. The attribute_20 is 0.6.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.43. The attribute_1 is 0.16. The attribute_2 is 0.29. The attribute_3 is 0.9. The attribute_4 is 0.42. The attribute_5 is 0.71. The attribute_6 is 0.18. The attribute_7 is 0.38. The attribute_8 is 0.53. The attribute_9 is 0.27. The attribute_10 is 0.49. The attribute_11 is 0.04. The attribute_12 is 0.27. The attribute_13 is 0.85. The attribute_14 is 0.15. The attribute_15 is 0.11. The attribute_16 is 0.2. The attribute_17 is 0.31. The attribute_18 is 0.55. The attribute_19 is 0.23. The attribute_20 is 0.59.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.82. The attribute_1 is 0.33. The attribute_2 is 0.01. The attribute_3 is 0.04. The attribute_4 is 0.41. The attribute_5 is 0.52. The attribute_6 is 0.0. The attribute_7 is 0.74. The attribute_8 is 0.01. The attribute_9 is 0.03. The attribute_10 is 0.02. The attribute_11 is 0.09. The attribute_12 is 0.92. The attribute_13 is 0.05. The attribute_14 is 0.47. The attribute_15 is 0.55. The attribute_16 is 0.21. The attribute_17 is 0.0. The attribute_18 is 0.39. The attribute_19 is 0.17. The attribute_20 is 0.1.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.9. The attribute_1 is 0.2. The attribute_2 is 0.24. The attribute_3 is 0.56. The attribute_4 is 0.16. The attribute_5 is 0.22. The attribute_6 is 0.37. The attribute_7 is 0.9. The attribute_8 is 0.37. The attribute_9 is 0.43. The attribute_10 is 0.39. The attribute_11 is 0.29. The attribute_12 is 0.43. The attribute_13 is 0.24. The attribute_14 is 0.62. The attribute_15 is 0.76. The attribute_16 is 0.59. The attribute_17 is 0.37. The attribute_18 is 0.35. The attribute_19 is 0.4. The attribute_20 is 0.46.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.78. The attribute_1 is 0.05. The attribute_2 is 0.16. The attribute_3 is 0.66. The attribute_4 is 0.95. The attribute_5 is 1.0. The attribute_6 is 0.51. The attribute_7 is 0.8. The attribute_8 is 0.55. The attribute_9 is 0.4. The attribute_10 is 0.67. The attribute_11 is 0.42. The attribute_12 is 0.45. The attribute_13 is 0.97. The attribute_14 is 0.52. The attribute_15 is 0.62. The attribute_16 is 0.97. The attribute_17 is 0.1. The attribute_18 is 0.9. The attribute_19 is 0.96. The attribute_20 is 0.65.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.48. The attribute_1 is 0.31. The attribute_2 is 0.46. The attribute_3 is 0.3. The attribute_4 is 0.32. The attribute_5 is 0.88. The attribute_6 is 0.48. The attribute_7 is 0.2. The attribute_8 is 0.38. The attribute_9 is 0.8. The attribute_10 is 0.8. The attribute_11 is 0.41. The attribute_12 is 0.89. The attribute_13 is 0.18. The attribute_14 is 0.97. The attribute_15 is 0.41. The attribute_16 is 0.6. The attribute_17 is 0.74. The attribute_18 is 0.13. The attribute_19 is 0.23. The attribute_20 is 0.87.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.09. The attribute_1 is 0.91. The attribute_2 is 0.52. The attribute_3 is 0.07. The attribute_4 is 0.27. The attribute_5 is 0.25. The attribute_6 is 0.72. The attribute_7 is 0.05. The attribute_8 is 0.58. The attribute_9 is 0.99. The attribute_10 is 0.99. The attribute_11 is 0.73. The attribute_12 is 0.05. The attribute_13 is 0.21. The attribute_14 is 0.14. The attribute_15 is 0.33. The attribute_16 is 0.44. The attribute_17 is 0.77. The attribute_18 is 0.17. The attribute_19 is 0.51. The attribute_20 is 0.98.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.08. The attribute_1 is 0.66. The attribute_2 is 0.82. The attribute_3 is 0.59. The attribute_4 is 0.64. The attribute_5 is 0.26. The attribute_6 is 0.87. The attribute_7 is 0.13. The attribute_8 is 0.9. The attribute_9 is 0.32. The attribute_10 is 0.33. The attribute_11 is 0.71. The attribute_12 is 0.66. The attribute_13 is 0.33. The attribute_14 is 0.59. The attribute_15 is 0.54. The attribute_16 is 0.61. The attribute_17 is 0.82. The attribute_18 is 0.18. The attribute_19 is 0.74. The attribute_20 is 0.28.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.46. The attribute_1 is 0.71. The attribute_2 is 0.63. The attribute_3 is 0.4. The attribute_4 is 0.23. The attribute_5 is 0.04. The attribute_6 is 0.46. The attribute_7 is 0.13. The attribute_8 is 0.42. The attribute_9 is 0.8. The attribute_10 is 0.58. The attribute_11 is 0.66. The attribute_12 is 0.55. The attribute_13 is 0.14. The attribute_14 is 0.69. The attribute_15 is 0.65. The attribute_16 is 0.38. The attribute_17 is 0.72. The attribute_18 is 0.05. The attribute_19 is 0.4. The attribute_20 is 0.53.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.7. The attribute_1 is 0.92. The attribute_2 is 0.87. The attribute_3 is 0.35. The attribute_4 is 0.64. The attribute_5 is 0.69. The attribute_6 is 0.86. The attribute_7 is 0.45. The attribute_8 is 0.91. The attribute_9 is 0.34. The attribute_10 is 0.22. The attribute_11 is 0.98. The attribute_12 is 0.17. The attribute_13 is 0.46. The attribute_14 is 0.09. The attribute_15 is 0.44. The attribute_16 is 0.6. The attribute_17 is 0.98. The attribute_18 is 0.65. The attribute_19 is 0.74. The attribute_20 is 0.21.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.01. The attribute_1 is 0.05. The attribute_2 is 0.3. The attribute_3 is 0.69. The attribute_4 is 0.12. The attribute_5 is 0.8. The attribute_6 is 0.42. The attribute_7 is 0.02. The attribute_8 is 0.43. The attribute_9 is 0.32. The attribute_10 is 0.42. The attribute_11 is 0.16. The attribute_12 is 0.21. The attribute_13 is 0.81. The attribute_14 is 0.47. The attribute_15 is 0.87. The attribute_16 is 0.07. The attribute_17 is 0.07. The attribute_18 is 0.08. The attribute_19 is 0.41. The attribute_20 is 0.26.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.4. The attribute_1 is 0.2. The attribute_2 is 0.51. The attribute_3 is 0.1. The attribute_4 is 0.83. The attribute_5 is 0.06. The attribute_6 is 0.26. The attribute_7 is 0.74. The attribute_8 is 0.39. The attribute_9 is 0.8. The attribute_10 is 0.87. The attribute_11 is 0.26. The attribute_12 is 0.64. The attribute_13 is 0.16. The attribute_14 is 0.76. The attribute_15 is 0.67. The attribute_16 is 0.8. The attribute_17 is 0.33. The attribute_18 is 0.53. The attribute_19 is 0.94. The attribute_20 is 0.75.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.49. The attribute_1 is 0.25. The attribute_2 is 0.52. The attribute_3 is 0.38. The attribute_4 is 0.87. The attribute_5 is 0.18. The attribute_6 is 0.84. The attribute_7 is 0.31. The attribute_8 is 0.76. The attribute_9 is 0.02. The attribute_10 is 0.29. The attribute_11 is 1.0. The attribute_12 is 0.26. The attribute_13 is 0.64. The attribute_14 is 0.26. The attribute_15 is 0.26. The attribute_16 is 0.75. The attribute_17 is 0.49. The attribute_18 is 0.09. The attribute_19 is 0.86. The attribute_20 is 0.09.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.66. The attribute_1 is 0.74. The attribute_2 is 0.8. The attribute_3 is 0.81. The attribute_4 is 0.66. The attribute_5 is 0.81. The attribute_6 is 0.64. The attribute_7 is 0.56. The attribute_8 is 0.43. The attribute_9 is 0.77. The attribute_10 is 0.93. The attribute_11 is 0.79. The attribute_12 is 0.27. The attribute_13 is 0.65. The attribute_14 is 0.28. The attribute_15 is 0.6. The attribute_16 is 0.53. The attribute_17 is 0.86. The attribute_18 is 0.66. The attribute_19 is 0.81. The attribute_20 is 0.87.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.9. The attribute_1 is 0.63. The attribute_2 is 0.82. The attribute_3 is 0.75. The attribute_4 is 0.27. The attribute_5 is 0.73. The attribute_6 is 0.43. The attribute_7 is 0.5. The attribute_8 is 0.08. The attribute_9 is 0.39. The attribute_10 is 0.14. The attribute_11 is 0.5. The attribute_12 is 0.04. The attribute_13 is 0.57. The attribute_14 is 0.02. The attribute_15 is 0.05. The attribute_16 is 0.21. The attribute_17 is 0.63. The attribute_18 is 0.39. The attribute_19 is 0.2. The attribute_20 is 0.47.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.27. The attribute_1 is 0.81. The attribute_2 is 0.77. The attribute_3 is 0.57. The attribute_4 is 0.53. The attribute_5 is 0.34. The attribute_6 is 0.34. The attribute_7 is 0.47. The attribute_8 is 0.44. The attribute_9 is 0.58. The attribute_10 is 0.58. The attribute_11 is 0.42. The attribute_12 is 0.43. The attribute_13 is 0.38. The attribute_14 is 0.23. The attribute_15 is 0.19. The attribute_16 is 0.41. The attribute_17 is 0.82. The attribute_18 is 0.43. The attribute_19 is 0.45. The attribute_20 is 0.43.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.73. The attribute_1 is 0.62. The attribute_2 is 0.54. The attribute_3 is 0.22. The attribute_4 is 0.27. The attribute_5 is 0.57. The attribute_6 is 0.84. The attribute_7 is 0.58. The attribute_8 is 0.93. The attribute_9 is 0.06. The attribute_10 is 0.02. The attribute_11 is 0.89. The attribute_12 is 0.24. The attribute_13 is 0.45. The attribute_14 is 0.1. The attribute_15 is 0.11. The attribute_16 is 0.2. The attribute_17 is 0.31. The attribute_18 is 0.57. The attribute_19 is 0.09. The attribute_20 is 0.09.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.96. The attribute_1 is 0.3. The attribute_2 is 0.6. The attribute_3 is 0.48. The attribute_4 is 0.48. The attribute_5 is 0.35. The attribute_6 is 0.24. The attribute_7 is 0.91. The attribute_8 is 0.09. The attribute_9 is 0.85. The attribute_10 is 0.66. The attribute_11 is 0.14. The attribute_12 is 0.76. The attribute_13 is 0.44. The attribute_14 is 0.57. The attribute_15 is 0.36. The attribute_16 is 0.65. The attribute_17 is 0.47. The attribute_18 is 0.79. The attribute_19 is 0.36. The attribute_20 is 0.86.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.63. The attribute_1 is 0.8. The attribute_2 is 0.65. The attribute_3 is 0.56. The attribute_4 is 0.7. The attribute_5 is 0.54. The attribute_6 is 0.54. The attribute_7 is 0.72. The attribute_8 is 0.41. The attribute_9 is 0.83. The attribute_10 is 0.72. The attribute_11 is 0.64. The attribute_12 is 0.84. The attribute_13 is 0.24. The attribute_14 is 0.97. The attribute_15 is 0.91. The attribute_16 is 0.88. The attribute_17 is 0.75. The attribute_18 is 0.54. The attribute_19 is 0.54. The attribute_20 is 0.85.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.33. The attribute_1 is 0.03. The attribute_2 is 0.07. The attribute_3 is 0.15. The attribute_4 is 1.0. The attribute_5 is 0.04. The attribute_6 is 0.07. The attribute_7 is 0.46. The attribute_8 is 0.09. The attribute_9 is 0.13. The attribute_10 is 0.07. The attribute_11 is 0.01. The attribute_12 is 0.79. The attribute_13 is 0.14. The attribute_14 is 0.82. The attribute_15 is 0.68. The attribute_16 is 0.87. The attribute_17 is 0.06. The attribute_18 is 0.34. The attribute_19 is 0.93. The attribute_20 is 0.05.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.68. The attribute_1 is 0.5. The attribute_2 is 0.41. The attribute_3 is 0.58. The attribute_4 is 0.01. The attribute_5 is 0.03. The attribute_6 is 0.61. The attribute_7 is 0.73. The attribute_8 is 0.69. The attribute_9 is 0.17. The attribute_10 is 0.05. The attribute_11 is 0.97. The attribute_12 is 0.58. The attribute_13 is 0.57. The attribute_14 is 0.78. The attribute_15 is 0.54. The attribute_16 is 0.21. The attribute_17 is 0.21. The attribute_18 is 0.13. The attribute_19 is 0.01. The attribute_20 is 0.02.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.46. The attribute_1 is 0.3. The attribute_2 is 0.27. The attribute_3 is 0.63. The attribute_4 is 0.69. The attribute_5 is 0.81. The attribute_6 is 0.62. The attribute_7 is 0.67. The attribute_8 is 0.92. The attribute_9 is 0.54. The attribute_10 is 0.07. The attribute_11 is 0.34. The attribute_12 is 0.97. The attribute_13 is 0.54. The attribute_14 is 0.81. The attribute_15 is 0.75. The attribute_16 is 0.8. The attribute_17 is 0.22. The attribute_18 is 0.24. The attribute_19 is 0.71. The attribute_20 is 0.32.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.86. The attribute_1 is 0.36. The attribute_2 is 0.21. The attribute_3 is 0.13. The attribute_4 is 0.65. The attribute_5 is 0.06. The attribute_6 is 0.07. The attribute_7 is 0.91. The attribute_8 is 0.15. The attribute_9 is 0.08. The attribute_10 is 0.42. The attribute_11 is 0.03. The attribute_12 is 0.99. The attribute_13 is 0.07. The attribute_14 is 0.85. The attribute_15 is 0.59. The attribute_16 is 0.79. The attribute_17 is 0.23. The attribute_18 is 0.6. The attribute_19 is 0.41. The attribute_20 is 0.39.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.46. The attribute_1 is 0.25. The attribute_2 is 0.41. The attribute_3 is 0.55. The attribute_4 is 0.37. The attribute_5 is 0.29. The attribute_6 is 0.68. The attribute_7 is 0.29. The attribute_8 is 0.74. The attribute_9 is 0.38. The attribute_10 is 0.3. The attribute_11 is 0.5. The attribute_12 is 0.33. The attribute_13 is 0.46. The attribute_14 is 0.38. The attribute_15 is 0.47. The attribute_16 is 0.27. The attribute_17 is 0.35. The attribute_18 is 0.81. The attribute_19 is 0.43. The attribute_20 is 0.47.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.33. The attribute_1 is 0.54. The attribute_2 is 0.89. The attribute_3 is 0.78. The attribute_4 is 0.83. The attribute_5 is 0.67. The attribute_6 is 0.51. The attribute_7 is 0.48. The attribute_8 is 0.73. The attribute_9 is 0.91. The attribute_10 is 0.99. The attribute_11 is 0.35. The attribute_12 is 0.63. The attribute_13 is 0.63. The attribute_14 is 0.51. The attribute_15 is 0.38. The attribute_16 is 0.88. The attribute_17 is 0.84. The attribute_18 is 0.72. The attribute_19 is 0.92. The attribute_20 is 0.91.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.66. The attribute_1 is 0.19. The attribute_2 is 0.25. The attribute_3 is 0.2. The attribute_4 is 0.29. The attribute_5 is 0.12. The attribute_6 is 0.53. The attribute_7 is 0.58. The attribute_8 is 0.53. The attribute_9 is 0.83. The attribute_10 is 0.92. The attribute_11 is 0.56. The attribute_12 is 0.74. The attribute_13 is 0.13. The attribute_14 is 0.89. The attribute_15 is 0.96. The attribute_16 is 0.65. The attribute_17 is 0.44. The attribute_18 is 0.54. The attribute_19 is 0.65. The attribute_20 is 0.85.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.44. The attribute_1 is 0.64. The attribute_2 is 0.58. The attribute_3 is 0.15. The attribute_4 is 0.47. The attribute_5 is 0.19. The attribute_6 is 0.44. The attribute_7 is 0.7. The attribute_8 is 0.51. The attribute_9 is 0.61. The attribute_10 is 0.62. The attribute_11 is 0.48. The attribute_12 is 0.66. The attribute_13 is 0.08. The attribute_14 is 0.62. The attribute_15 is 0.4. The attribute_16 is 0.35. The attribute_17 is 0.59. The attribute_18 is 0.84. The attribute_19 is 0.34. The attribute_20 is 0.67.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.09. The attribute_1 is 0.97. The attribute_2 is 0.9. The attribute_3 is 0.78. The attribute_4 is 0.1. The attribute_5 is 0.86. The attribute_6 is 0.02. The attribute_7 is 0.67. The attribute_8 is 0.37. The attribute_9 is 0.18. The attribute_10 is 0.63. The attribute_11 is 0.09. The attribute_12 is 0.01. The attribute_13 is 0.98. The attribute_14 is 0.2. The attribute_15 is 0.15. The attribute_16 is 0.19. The attribute_17 is 0.92. The attribute_18 is 0.34. The attribute_19 is 0.16. The attribute_20 is 0.51.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.41. The attribute_1 is 0.69. The attribute_2 is 0.42. The attribute_3 is 0.94. The attribute_4 is 0.39. The attribute_5 is 0.77. The attribute_6 is 0.93. The attribute_7 is 0.44. The attribute_8 is 0.96. The attribute_9 is 0.25. The attribute_10 is 0.34. The attribute_11 is 0.68. The attribute_12 is 0.18. The attribute_13 is 0.86. The attribute_14 is 0.18. The attribute_15 is 0.06. The attribute_16 is 0.57. The attribute_17 is 0.55. The attribute_18 is 0.52. The attribute_19 is 0.73. The attribute_20 is 0.58.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.36. The attribute_1 is 0.91. The attribute_2 is 0.92. The attribute_3 is 0.96. The attribute_4 is 0.24. The attribute_5 is 0.93. The attribute_6 is 0.97. The attribute_7 is 0.19. The attribute_8 is 0.92. The attribute_9 is 0.8. The attribute_10 is 0.95. The attribute_11 is 0.94. The attribute_12 is 0.14. The attribute_13 is 1.0. The attribute_14 is 0.13. The attribute_15 is 0.4. The attribute_16 is 0.3. The attribute_17 is 0.98. The attribute_18 is 0.18. The attribute_19 is 0.61. The attribute_20 is 0.69.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.83. The attribute_1 is 0.63. The attribute_2 is 0.18. The attribute_3 is 0.65. The attribute_4 is 0.17. The attribute_5 is 0.53. The attribute_6 is 0.22. The attribute_7 is 0.85. The attribute_8 is 0.33. The attribute_9 is 0.64. The attribute_10 is 0.8. The attribute_11 is 0.48. The attribute_12 is 0.34. The attribute_13 is 0.87. The attribute_14 is 0.22. The attribute_15 is 0.43. The attribute_16 is 0.2. The attribute_17 is 0.39. The attribute_18 is 0.86. The attribute_19 is 0.17. The attribute_20 is 0.79.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.97. The attribute_1 is 0.36. The attribute_2 is 0.35. The attribute_3 is 0.1. The attribute_4 is 0.87. The attribute_5 is 0.01. The attribute_6 is 0.35. The attribute_7 is 0.94. The attribute_8 is 0.73. The attribute_9 is 0.8. The attribute_10 is 0.76. The attribute_11 is 0.34. The attribute_12 is 0.77. The attribute_13 is 0.08. The attribute_14 is 0.78. The attribute_15 is 0.32. The attribute_16 is 0.81. The attribute_17 is 0.18. The attribute_18 is 0.57. The attribute_19 is 0.78. The attribute_20 is 0.99.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.06. The attribute_1 is 0.85. The attribute_2 is 0.69. The attribute_3 is 0.67. The attribute_4 is 0.81. The attribute_5 is 0.6. The attribute_6 is 0.96. The attribute_7 is 0.03. The attribute_8 is 0.97. The attribute_9 is 0.05. The attribute_10 is 0.04. The attribute_11 is 0.87. The attribute_12 is 0.69. The attribute_13 is 0.7. The attribute_14 is 0.58. The attribute_15 is 0.5. The attribute_16 is 1.0. The attribute_17 is 0.82. The attribute_18 is 0.15. The attribute_19 is 0.95. The attribute_20 is 0.03.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.73. The attribute_1 is 0.4. The attribute_2 is 0.23. The attribute_3 is 0.78. The attribute_4 is 0.53. The attribute_5 is 0.64. The attribute_6 is 0.31. The attribute_7 is 0.72. The attribute_8 is 0.29. The attribute_9 is 0.2. The attribute_10 is 0.29. The attribute_11 is 0.48. The attribute_12 is 0.73. The attribute_13 is 0.75. The attribute_14 is 0.93. The attribute_15 is 0.91. The attribute_16 is 0.71. The attribute_17 is 0.25. The attribute_18 is 0.66. The attribute_19 is 0.43. The attribute_20 is 0.33.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.52. The attribute_1 is 0.76. The attribute_2 is 0.4. The attribute_3 is 0.21. The attribute_4 is 0.99. The attribute_5 is 0.22. The attribute_6 is 0.39. The attribute_7 is 0.38. The attribute_8 is 0.62. The attribute_9 is 0.6. The attribute_10 is 0.19. The attribute_11 is 0.72. The attribute_12 is 0.7. The attribute_13 is 0.19. The attribute_14 is 0.89. The attribute_15 is 0.85. The attribute_16 is 0.87. The attribute_17 is 0.33. The attribute_18 is 0.26. The attribute_19 is 0.93. The attribute_20 is 0.51.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.51. The attribute_1 is 0.79. The attribute_2 is 0.54. The attribute_3 is 0.03. The attribute_4 is 0.65. The attribute_5 is 0.07. The attribute_6 is 0.41. The attribute_7 is 0.51. The attribute_8 is 0.33. The attribute_9 is 0.89. The attribute_10 is 1.0. The attribute_11 is 0.55. The attribute_12 is 0.36. The attribute_13 is 0.02. The attribute_14 is 0.39. The attribute_15 is 0.29. The attribute_16 is 0.56. The attribute_17 is 0.69. The attribute_18 is 0.24. The attribute_19 is 0.28. The attribute_20 is 0.91.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.99. The attribute_1 is 0.2. The attribute_2 is 0.01. The attribute_3 is 0.89. The attribute_4 is 0.27. The attribute_5 is 0.84. The attribute_6 is 0.2. The attribute_7 is 0.89. The attribute_8 is 0.02. The attribute_9 is 0.4. The attribute_10 is 0.19. The attribute_11 is 0.46. The attribute_12 is 0.2. The attribute_13 is 0.85. The attribute_14 is 0.28. The attribute_15 is 0.49. The attribute_16 is 0.33. The attribute_17 is 0.04. The attribute_18 is 0.88. The attribute_19 is 0.14. The attribute_20 is 0.63.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.82. The attribute_1 is 0.22. The attribute_2 is 0.76. The attribute_3 is 0.03. The attribute_4 is 0.81. The attribute_5 is 0.11. The attribute_6 is 0.19. The attribute_7 is 0.93. The attribute_8 is 0.32. The attribute_9 is 0.73. The attribute_10 is 0.5. The attribute_11 is 0.14. The attribute_12 is 0.35. The attribute_13 is 0.03. The attribute_14 is 0.66. The attribute_15 is 0.82. The attribute_16 is 0.75. The attribute_17 is 0.56. The attribute_18 is 0.03. The attribute_19 is 0.67. The attribute_20 is 0.1.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.73. The attribute_1 is 0.76. The attribute_2 is 0.89. The attribute_3 is 0.2. The attribute_4 is 0.86. The attribute_5 is 0.14. The attribute_6 is 0.67. The attribute_7 is 0.82. The attribute_8 is 0.86. The attribute_9 is 0.07. The attribute_10 is 0.19. The attribute_11 is 0.5. The attribute_12 is 0.65. The attribute_13 is 0.11. The attribute_14 is 0.81. The attribute_15 is 0.94. The attribute_16 is 0.9. The attribute_17 is 0.84. The attribute_18 is 0.54. The attribute_19 is 0.99. The attribute_20 is 0.39.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.96. The attribute_1 is 0.86. The attribute_2 is 0.34. The attribute_3 is 0.25. The attribute_4 is 0.28. The attribute_5 is 0.04. The attribute_6 is 0.73. The attribute_7 is 0.94. The attribute_8 is 0.37. The attribute_9 is 0.99. The attribute_10 is 0.81. The attribute_11 is 0.84. The attribute_12 is 0.99. The attribute_13 is 0.09. The attribute_14 is 1.0. The attribute_15 is 0.38. The attribute_16 is 0.75. The attribute_17 is 0.83. The attribute_18 is 0.87. The attribute_19 is 0.32. The attribute_20 is 0.9.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.71. The attribute_1 is 0.29. The attribute_2 is 0.26. The attribute_3 is 0.94. The attribute_4 is 0.78. The attribute_5 is 0.9. The attribute_6 is 0.32. The attribute_7 is 0.53. The attribute_8 is 0.24. The attribute_9 is 0.25. The attribute_10 is 0.33. The attribute_11 is 0.13. The attribute_12 is 0.2. The attribute_13 is 0.95. The attribute_14 is 0.2. The attribute_15 is 0.22. The attribute_16 is 0.77. The attribute_17 is 0.26. The attribute_18 is 0.62. The attribute_19 is 0.83. The attribute_20 is 0.31.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.05. The attribute_1 is 0.67. The attribute_2 is 0.52. The attribute_3 is 0.04. The attribute_4 is 0.73. The attribute_5 is 0.02. The attribute_6 is 0.94. The attribute_7 is 0.01. The attribute_8 is 0.73. The attribute_9 is 0.65. The attribute_10 is 0.7. The attribute_11 is 0.84. The attribute_12 is 0.52. The attribute_13 is 0.08. The attribute_14 is 0.47. The attribute_15 is 0.44. The attribute_16 is 0.79. The attribute_17 is 0.77. The attribute_18 is 0.03. The attribute_19 is 0.4. The attribute_20 is 0.82.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.2. The attribute_1 is 0.39. The attribute_2 is 0.26. The attribute_3 is 0.39. The attribute_4 is 0.06. The attribute_5 is 0.43. The attribute_6 is 0.66. The attribute_7 is 0.24. The attribute_8 is 0.44. The attribute_9 is 0.24. The attribute_10 is 0.26. The attribute_11 is 0.78. The attribute_12 is 0.54. The attribute_13 is 0.27. The attribute_14 is 0.4. The attribute_15 is 0.52. The attribute_16 is 0.08. The attribute_17 is 0.4. The attribute_18 is 0.44. The attribute_19 is 0.33. The attribute_20 is 0.29.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.86. The attribute_1 is 0.49. The attribute_2 is 0.09. The attribute_3 is 0.04. The attribute_4 is 0.15. The attribute_5 is 0.38. The attribute_6 is 0.17. The attribute_7 is 0.9. The attribute_8 is 0.07. The attribute_9 is 0.37. The attribute_10 is 0.8. The attribute_11 is 0.26. The attribute_12 is 0.67. The attribute_13 is 0.05. The attribute_14 is 0.73. The attribute_15 is 0.77. The attribute_16 is 0.59. The attribute_17 is 0.25. The attribute_18 is 0.67. The attribute_19 is 0.5. The attribute_20 is 0.78.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.3. The attribute_1 is 0.44. The attribute_2 is 0.44. The attribute_3 is 0.93. The attribute_4 is 0.22. The attribute_5 is 0.75. The attribute_6 is 0.32. The attribute_7 is 0.12. The attribute_8 is 0.54. The attribute_9 is 0.57. The attribute_10 is 0.15. The attribute_11 is 0.5. The attribute_12 is 0.1. The attribute_13 is 0.73. The attribute_14 is 0.1. The attribute_15 is 0.11. The attribute_16 is 0.44. The attribute_17 is 0.41. The attribute_18 is 0.03. The attribute_19 is 0.19. The attribute_20 is 0.15.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.6. The attribute_1 is 0.73. The attribute_2 is 0.3. The attribute_3 is 0.17. The attribute_4 is 0.92. The attribute_5 is 0.54. The attribute_6 is 0.31. The attribute_7 is 0.6. The attribute_8 is 0.21. The attribute_9 is 0.34. The attribute_10 is 0.16. The attribute_11 is 0.85. The attribute_12 is 0.94. The attribute_13 is 0.46. The attribute_14 is 0.94. The attribute_15 is 0.97. The attribute_16 is 0.83. The attribute_17 is 0.34. The attribute_18 is 0.4. The attribute_19 is 0.79. The attribute_20 is 0.48.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.86. The attribute_1 is 0.17. The attribute_2 is 0.03. The attribute_3 is 0.49. The attribute_4 is 0.92. The attribute_5 is 0.63. The attribute_6 is 0.11. The attribute_7 is 0.99. The attribute_8 is 0.25. The attribute_9 is 0.05. The attribute_10 is 0.03. The attribute_11 is 0.05. The attribute_12 is 0.36. The attribute_13 is 0.59. The attribute_14 is 0.32. The attribute_15 is 0.25. The attribute_16 is 0.98. The attribute_17 is 0.14. The attribute_18 is 0.98. The attribute_19 is 0.96. The attribute_20 is 0.09.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.59. The attribute_1 is 0.14. The attribute_2 is 0.44. The attribute_3 is 0.19. The attribute_4 is 0.5. The attribute_5 is 0.24. The attribute_6 is 0.1. The attribute_7 is 0.87. The attribute_8 is 0.36. The attribute_9 is 0.51. The attribute_10 is 0.5. The attribute_11 is 0.12. The attribute_12 is 0.61. The attribute_13 is 0.13. The attribute_14 is 0.52. The attribute_15 is 0.52. The attribute_16 is 0.25. The attribute_17 is 0.22. The attribute_18 is 0.85. The attribute_19 is 0.34. The attribute_20 is 0.33.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.53. The attribute_1 is 0.84. The attribute_2 is 0.78. The attribute_3 is 0.75. The attribute_4 is 0.17. The attribute_5 is 0.84. The attribute_6 is 0.59. The attribute_7 is 0.58. The attribute_8 is 0.66. The attribute_9 is 0.39. The attribute_10 is 0.46. The attribute_11 is 0.37. The attribute_12 is 0.24. The attribute_13 is 0.69. The attribute_14 is 0.08. The attribute_15 is 0.03. The attribute_16 is 0.23. The attribute_17 is 0.95. The attribute_18 is 0.56. The attribute_19 is 0.28. The attribute_20 is 0.26.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.65. The attribute_1 is 0.05. The attribute_2 is 0.21. The attribute_3 is 0.69. The attribute_4 is 0.82. The attribute_5 is 0.58. The attribute_6 is 0.23. The attribute_7 is 0.92. The attribute_8 is 0.28. The attribute_9 is 0.5. The attribute_10 is 0.76. The attribute_11 is 0.03. The attribute_12 is 0.86. The attribute_13 is 0.62. The attribute_14 is 0.45. The attribute_15 is 0.34. The attribute_16 is 0.57. The attribute_17 is 0.2. The attribute_18 is 0.79. The attribute_19 is 0.67. The attribute_20 is 0.38.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.46. The attribute_1 is 0.04. The attribute_2 is 0.03. The attribute_3 is 0.78. The attribute_4 is 0.63. The attribute_5 is 0.57. The attribute_6 is 0.42. The attribute_7 is 0.37. The attribute_8 is 0.45. The attribute_9 is 0.27. The attribute_10 is 0.34. The attribute_11 is 0.61. The attribute_12 is 0.02. The attribute_13 is 0.63. The attribute_14 is 0.3. The attribute_15 is 0.47. The attribute_16 is 0.62. The attribute_17 is 0.13. The attribute_18 is 0.19. The attribute_19 is 0.75. The attribute_20 is 0.5.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.79. The attribute_1 is 0.29. The attribute_2 is 0.17. The attribute_3 is 0.87. The attribute_4 is 0.21. The attribute_5 is 0.62. The attribute_6 is 0.82. The attribute_7 is 0.39. The attribute_8 is 0.4. The attribute_9 is 0.38. The attribute_10 is 0.17. The attribute_11 is 0.84. The attribute_12 is 0.75. The attribute_13 is 0.33. The attribute_14 is 0.59. The attribute_15 is 0.46. The attribute_16 is 0.26. The attribute_17 is 0.09. The attribute_18 is 0.44. The attribute_19 is 0.26. The attribute_20 is 0.15.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.8. The attribute_1 is 0.57. The attribute_2 is 0.38. The attribute_3 is 0.08. The attribute_4 is 0.75. The attribute_5 is 0.05. The attribute_6 is 0.6. The attribute_7 is 0.71. The attribute_8 is 0.45. The attribute_9 is 0.78. The attribute_10 is 0.92. The attribute_11 is 0.57. The attribute_12 is 0.95. The attribute_13 is 0.07. The attribute_14 is 0.97. The attribute_15 is 0.86. The attribute_16 is 0.8. The attribute_17 is 0.83. The attribute_18 is 0.69. The attribute_19 is 0.79. The attribute_20 is 0.96.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.63. The attribute_1 is 0.09. The attribute_2 is 0.08. The attribute_3 is 0.36. The attribute_4 is 0.92. The attribute_5 is 0.01. The attribute_6 is 0.02. The attribute_7 is 0.66. The attribute_8 is 0.1. The attribute_9 is 0.2. The attribute_10 is 0.47. The attribute_11 is 0.13. The attribute_12 is 0.95. The attribute_13 is 0.16. The attribute_14 is 0.99. The attribute_15 is 0.99. The attribute_16 is 0.95. The attribute_17 is 0.03. The attribute_18 is 0.9. The attribute_19 is 0.82. The attribute_20 is 0.29.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.01. The attribute_1 is 0.13. The attribute_2 is 0.0. The attribute_3 is 0.65. The attribute_4 is 0.17. The attribute_5 is 0.73. The attribute_6 is 0.9. The attribute_7 is 0.04. The attribute_8 is 1.0. The attribute_9 is 0.2. The attribute_10 is 0.15. The attribute_11 is 0.98. The attribute_12 is 0.58. The attribute_13 is 0.62. The attribute_14 is 0.63. The attribute_15 is 0.81. The attribute_16 is 0.25. The attribute_17 is 0.04. The attribute_18 is 0.02. The attribute_19 is 0.19. The attribute_20 is 0.07.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.33. The attribute_1 is 0.1. The attribute_2 is 0.04. The attribute_3 is 0.66. The attribute_4 is 0.78. The attribute_5 is 0.35. The attribute_6 is 0.74. The attribute_7 is 0.29. The attribute_8 is 0.71. The attribute_9 is 0.86. The attribute_10 is 0.95. The attribute_11 is 0.7. The attribute_12 is 0.01. The attribute_13 is 0.53. The attribute_14 is 0.07. The attribute_15 is 0.15. The attribute_16 is 0.66. The attribute_17 is 0.05. The attribute_18 is 0.64. The attribute_19 is 0.53. The attribute_20 is 0.87.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.71. The attribute_1 is 0.4. The attribute_2 is 0.88. The attribute_3 is 0.35. The attribute_4 is 0.72. The attribute_5 is 0.15. The attribute_6 is 0.58. The attribute_7 is 0.86. The attribute_8 is 0.88. The attribute_9 is 0.07. The attribute_10 is 0.08. The attribute_11 is 0.13. The attribute_12 is 0.83. The attribute_13 is 0.1. The attribute_14 is 0.85. The attribute_15 is 0.89. The attribute_16 is 0.51. The attribute_17 is 0.66. The attribute_18 is 0.77. The attribute_19 is 0.44. The attribute_20 is 0.01.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.11. The attribute_1 is 0.61. The attribute_2 is 0.43. The attribute_3 is 0.48. The attribute_4 is 0.59. The attribute_5 is 0.54. The attribute_6 is 0.68. The attribute_7 is 0.08. The attribute_8 is 0.66. The attribute_9 is 0.97. The attribute_10 is 1.0. The attribute_11 is 0.79. The attribute_12 is 0.21. The attribute_13 is 0.54. The attribute_14 is 0.35. The attribute_15 is 0.44. The attribute_16 is 0.57. The attribute_17 is 0.56. The attribute_18 is 0.25. The attribute_19 is 0.73. The attribute_20 is 0.98.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.25. The attribute_1 is 0.62. The attribute_2 is 0.91. The attribute_3 is 0.76. The attribute_4 is 0.79. The attribute_5 is 0.37. The attribute_6 is 0.65. The attribute_7 is 0.39. The attribute_8 is 0.78. The attribute_9 is 0.84. The attribute_10 is 0.92. The attribute_11 is 0.54. The attribute_12 is 0.79. The attribute_13 is 0.54. The attribute_14 is 0.89. The attribute_15 is 0.81. The attribute_16 is 0.74. The attribute_17 is 0.74. The attribute_18 is 0.67. The attribute_19 is 0.75. The attribute_20 is 0.77.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.03. The attribute_1 is 0.54. The attribute_2 is 0.29. The attribute_3 is 0.69. The attribute_4 is 0.21. The attribute_5 is 0.92. The attribute_6 is 0.51. The attribute_7 is 0.04. The attribute_8 is 0.38. The attribute_9 is 0.61. The attribute_10 is 0.51. The attribute_11 is 0.52. The attribute_12 is 0.64. The attribute_13 is 0.85. The attribute_14 is 0.59. The attribute_15 is 0.73. The attribute_16 is 0.13. The attribute_17 is 0.17. The attribute_18 is 0.05. The attribute_19 is 0.17. The attribute_20 is 0.61.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.77. The attribute_1 is 0.25. The attribute_2 is 0.11. The attribute_3 is 0.08. The attribute_4 is 0.24. The attribute_5 is 0.28. The attribute_6 is 0.06. The attribute_7 is 0.89. The attribute_8 is 0.16. The attribute_9 is 0.17. The attribute_10 is 0.05. The attribute_11 is 0.03. The attribute_12 is 0.69. The attribute_13 is 0.04. The attribute_14 is 0.92. The attribute_15 is 0.79. The attribute_16 is 0.65. The attribute_17 is 0.07. The attribute_18 is 0.67. The attribute_19 is 0.75. The attribute_20 is 0.06.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.08. The attribute_1 is 0.32. The attribute_2 is 0.42. The attribute_3 is 0.23. The attribute_4 is 0.45. The attribute_5 is 0.03. The attribute_6 is 0.6. The attribute_7 is 0.16. The attribute_8 is 0.64. The attribute_9 is 0.37. The attribute_10 is 0.69. The attribute_11 is 0.14. The attribute_12 is 0.02. The attribute_13 is 0.21. The attribute_14 is 0.04. The attribute_15 is 0.05. The attribute_16 is 0.56. The attribute_17 is 0.5. The attribute_18 is 0.19. The attribute_19 is 0.29. The attribute_20 is 0.44.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.06. The attribute_1 is 0.87. The attribute_2 is 0.96. The attribute_3 is 0.37. The attribute_4 is 0.57. The attribute_5 is 0.59. The attribute_6 is 0.9. The attribute_7 is 0.04. The attribute_8 is 0.96. The attribute_9 is 0.43. The attribute_10 is 0.55. The attribute_11 is 0.87. The attribute_12 is 0.34. The attribute_13 is 0.39. The attribute_14 is 0.06. The attribute_15 is 0.14. The attribute_16 is 0.36. The attribute_17 is 0.98. The attribute_18 is 0.13. The attribute_19 is 0.72. The attribute_20 is 0.16.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.43. The attribute_1 is 0.82. The attribute_2 is 0.66. The attribute_3 is 0.8. The attribute_4 is 0.98. The attribute_5 is 0.6. The attribute_6 is 0.95. The attribute_7 is 0.39. The attribute_8 is 0.71. The attribute_9 is 0.63. The attribute_10 is 0.85. The attribute_11 is 0.74. The attribute_12 is 0.17. The attribute_13 is 0.69. The attribute_14 is 0.13. The attribute_15 is 0.47. The attribute_16 is 0.91. The attribute_17 is 0.96. The attribute_18 is 0.51. The attribute_19 is 0.83. The attribute_20 is 0.71.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.05. The attribute_1 is 0.75. The attribute_2 is 0.91. The attribute_3 is 0.28. The attribute_4 is 0.17. The attribute_5 is 0.47. The attribute_6 is 0.79. The attribute_7 is 0.06. The attribute_8 is 0.77. The attribute_9 is 0.88. The attribute_10 is 1.0. The attribute_11 is 0.8. The attribute_12 is 0.38. The attribute_13 is 0.32. The attribute_14 is 0.42. The attribute_15 is 0.44. The attribute_16 is 0.24. The attribute_17 is 0.9. The attribute_18 is 0.18. The attribute_19 is 0.23. The attribute_20 is 0.95.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.05. The attribute_1 is 0.81. The attribute_2 is 0.55. The attribute_3 is 0.22. The attribute_4 is 0.85. The attribute_5 is 0.13. The attribute_6 is 0.99. The attribute_7 is 0.0. The attribute_8 is 0.75. The attribute_9 is 0.4. The attribute_10 is 0.7. The attribute_11 is 0.88. The attribute_12 is 0.63. The attribute_13 is 0.27. The attribute_14 is 0.34. The attribute_15 is 0.21. The attribute_16 is 0.86. The attribute_17 is 0.94. The attribute_18 is 0.05. The attribute_19 is 0.45. The attribute_20 is 0.35.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.63. The attribute_1 is 0.25. The attribute_2 is 0.31. The attribute_3 is 0.31. The attribute_4 is 0.17. The attribute_5 is 0.05. The attribute_6 is 0.61. The attribute_7 is 0.2. The attribute_8 is 0.28. The attribute_9 is 0.16. The attribute_10 is 0.25. The attribute_11 is 0.0. The attribute_12 is 0.74. The attribute_13 is 0.62. The attribute_14 is 0.4. The attribute_15 is 0.55. The attribute_16 is 0.36. The attribute_17 is 0.7. The attribute_18 is 0.97. The attribute_19 is 0.41. The attribute_20 is 0.06.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.83. The attribute_1 is 0.47. The attribute_2 is 0.18. The attribute_3 is 0.22. The attribute_4 is 0.81. The attribute_5 is 0.22. The attribute_6 is 0.69. The attribute_7 is 0.84. The attribute_8 is 0.76. The attribute_9 is 0.06. The attribute_10 is 0.04. The attribute_11 is 0.33. The attribute_12 is 0.7. The attribute_13 is 0.14. The attribute_14 is 0.9. The attribute_15 is 0.91. The attribute_16 is 0.92. The attribute_17 is 0.33. The attribute_18 is 0.55. The attribute_19 is 0.85. The attribute_20 is 0.09.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.94. The attribute_1 is 0.36. The attribute_2 is 0.25. The attribute_3 is 0.06. The attribute_4 is 0.99. The attribute_5 is 0.28. The attribute_6 is 0.4. The attribute_7 is 0.54. The attribute_8 is 0.12. The attribute_9 is 0.32. The attribute_10 is 0.58. The attribute_11 is 0.44. The attribute_12 is 0.34. The attribute_13 is 0.44. The attribute_14 is 0.38. The attribute_15 is 0.22. The attribute_16 is 0.82. The attribute_17 is 0.4. The attribute_18 is 0.74. The attribute_19 is 0.75. The attribute_20 is 0.32.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.38. The attribute_1 is 0.28. The attribute_2 is 0.44. The attribute_3 is 0.91. The attribute_4 is 0.16. The attribute_5 is 0.8. The attribute_6 is 0.08. The attribute_7 is 0.46. The attribute_8 is 0.19. The attribute_9 is 0.42. The attribute_10 is 0.71. The attribute_11 is 0.04. The attribute_12 is 0.2. The attribute_13 is 0.8. The attribute_14 is 0.1. The attribute_15 is 0.08. The attribute_16 is 0.28. The attribute_17 is 0.29. The attribute_18 is 0.61. The attribute_19 is 0.18. The attribute_20 is 0.73.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.16. The attribute_1 is 0.9. The attribute_2 is 0.99. The attribute_3 is 0.84. The attribute_4 is 0.91. The attribute_5 is 0.65. The attribute_6 is 0.99. The attribute_7 is 0.24. The attribute_8 is 0.95. The attribute_9 is 0.98. The attribute_10 is 1.0. The attribute_11 is 0.99. The attribute_12 is 0.75. The attribute_13 is 0.54. The attribute_14 is 0.85. The attribute_15 is 0.8. The attribute_16 is 0.97. The attribute_17 is 0.99. The attribute_18 is 0.14. The attribute_19 is 0.93. The attribute_20 is 0.92.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.06. The attribute_1 is 0.99. The attribute_2 is 0.88. The attribute_3 is 0.78. The attribute_4 is 0.7. The attribute_5 is 0.65. The attribute_6 is 0.73. The attribute_7 is 0.31. The attribute_8 is 0.68. The attribute_9 is 0.68. The attribute_10 is 0.51. The attribute_11 is 0.74. The attribute_12 is 0.08. The attribute_13 is 0.81. The attribute_14 is 0.0. The attribute_15 is 0.32. The attribute_16 is 0.89. The attribute_17 is 0.99. The attribute_18 is 0.4. The attribute_19 is 0.76. The attribute_20 is 0.63.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.29. The attribute_1 is 0.81. The attribute_2 is 0.72. The attribute_3 is 0.4. The attribute_4 is 0.12. The attribute_5 is 0.35. The attribute_6 is 0.62. The attribute_7 is 0.24. The attribute_8 is 0.66. The attribute_9 is 0.93. The attribute_10 is 0.85. The attribute_11 is 0.3. The attribute_12 is 0.45. The attribute_13 is 0.49. The attribute_14 is 0.57. The attribute_15 is 0.44. The attribute_16 is 0.12. The attribute_17 is 0.72. The attribute_18 is 0.4. The attribute_19 is 0.04. The attribute_20 is 0.79.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.64. The attribute_1 is 0.74. The attribute_2 is 0.72. The attribute_3 is 0.84. The attribute_4 is 0.46. The attribute_5 is 0.38. The attribute_6 is 0.6. The attribute_7 is 0.7. The attribute_8 is 0.66. The attribute_9 is 0.22. The attribute_10 is 0.12. The attribute_11 is 0.68. The attribute_12 is 0.26. The attribute_13 is 0.73. The attribute_14 is 0.09. The attribute_15 is 0.06. The attribute_16 is 0.32. The attribute_17 is 0.65. The attribute_18 is 0.64. The attribute_19 is 0.07. The attribute_20 is 0.26.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.25. The attribute_1 is 0.65. The attribute_2 is 0.72. The attribute_3 is 0.4. The attribute_4 is 0.73. The attribute_5 is 0.15. The attribute_6 is 0.95. The attribute_7 is 0.17. The attribute_8 is 0.88. The attribute_9 is 0.46. The attribute_10 is 0.27. The attribute_11 is 0.55. The attribute_12 is 0.33. The attribute_13 is 0.55. The attribute_14 is 0.59. The attribute_15 is 0.46. The attribute_16 is 0.64. The attribute_17 is 0.84. The attribute_18 is 0.56. The attribute_19 is 0.47. The attribute_20 is 0.42.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.04. The attribute_1 is 0.82. The attribute_2 is 0.89. The attribute_3 is 0.94. The attribute_4 is 0.04. The attribute_5 is 0.7. The attribute_6 is 0.97. The attribute_7 is 0.04. The attribute_8 is 0.98. The attribute_9 is 0.57. The attribute_10 is 0.2. The attribute_11 is 0.98. The attribute_12 is 0.44. The attribute_13 is 0.94. The attribute_14 is 0.27. The attribute_15 is 0.29. The attribute_16 is 0.0. The attribute_17 is 0.9. The attribute_18 is 0.18. The attribute_19 is 0.09. The attribute_20 is 0.18.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.74. The attribute_1 is 0.03. The attribute_2 is 0.37. The attribute_3 is 0.15. The attribute_4 is 0.84. The attribute_5 is 0.4. The attribute_6 is 0.59. The attribute_7 is 0.61. The attribute_8 is 0.68. The attribute_9 is 0.24. The attribute_10 is 0.14. The attribute_11 is 0.27. The attribute_12 is 0.32. The attribute_13 is 0.38. The attribute_14 is 0.23. The attribute_15 is 0.44. The attribute_16 is 0.9. The attribute_17 is 0.39. The attribute_18 is 0.34. The attribute_19 is 0.87. The attribute_20 is 0.23.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.15. The attribute_1 is 0.38. The attribute_2 is 0.31. The attribute_3 is 0.56. The attribute_4 is 0.61. The attribute_5 is 0.55. The attribute_6 is 0.15. The attribute_7 is 0.21. The attribute_8 is 0.29. The attribute_9 is 0.53. The attribute_10 is 0.27. The attribute_11 is 0.39. The attribute_12 is 0.75. The attribute_13 is 0.38. The attribute_14 is 0.45. The attribute_15 is 0.31. The attribute_16 is 0.76. The attribute_17 is 0.16. The attribute_18 is 0.54. The attribute_19 is 0.8. The attribute_20 is 0.19.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.52. The attribute_1 is 0.45. The attribute_2 is 0.94. The attribute_3 is 0.52. The attribute_4 is 0.84. The attribute_5 is 0.04. The attribute_6 is 0.72. The attribute_7 is 0.34. The attribute_8 is 0.76. The attribute_9 is 0.93. The attribute_10 is 0.93. The attribute_11 is 0.48. The attribute_12 is 0.76. The attribute_13 is 0.49. The attribute_14 is 0.23. The attribute_15 is 0.22. The attribute_16 is 0.59. The attribute_17 is 0.69. The attribute_18 is 0.74. The attribute_19 is 0.71. The attribute_20 is 0.73.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.44. The attribute_1 is 0.84. The attribute_2 is 0.27. The attribute_3 is 0.81. The attribute_4 is 0.21. The attribute_5 is 0.45. The attribute_6 is 0.45. The attribute_7 is 0.49. The attribute_8 is 0.59. The attribute_9 is 0.75. The attribute_10 is 0.95. The attribute_11 is 0.45. The attribute_12 is 0.35. The attribute_13 is 0.81. The attribute_14 is 0.38. The attribute_15 is 0.16. The attribute_16 is 0.59. The attribute_17 is 0.34. The attribute_18 is 0.6. The attribute_19 is 0.41. The attribute_20 is 0.98.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.71. The attribute_1 is 1.0. The attribute_2 is 0.98. The attribute_3 is 0.99. The attribute_4 is 0.44. The attribute_5 is 0.98. The attribute_6 is 0.75. The attribute_7 is 0.45. The attribute_8 is 0.6. The attribute_9 is 0.38. The attribute_10 is 0.23. The attribute_11 is 0.74. The attribute_12 is 0.02. The attribute_13 is 1.0. The attribute_14 is 0.12. The attribute_15 is 0.15. The attribute_16 is 0.54. The attribute_17 is 0.98. The attribute_18 is 0.38. The attribute_19 is 0.51. The attribute_20 is 0.11.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.9. The attribute_1 is 0.02. The attribute_2 is 0.1. The attribute_3 is 0.1. The attribute_4 is 0.91. The attribute_5 is 0.01. The attribute_6 is 0.09. The attribute_7 is 0.92. The attribute_8 is 0.0. The attribute_9 is 0.24. The attribute_10 is 0.25. The attribute_11 is 0.1. The attribute_12 is 0.94. The attribute_13 is 0.08. The attribute_14 is 0.8. The attribute_15 is 0.85. The attribute_16 is 0.8. The attribute_17 is 0.11. The attribute_18 is 0.98. The attribute_19 is 0.83. The attribute_20 is 0.08.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.9. The attribute_1 is 0.35. The attribute_2 is 0.23. The attribute_3 is 0.34. The attribute_4 is 0.44. The attribute_5 is 0.33. The attribute_6 is 0.43. The attribute_7 is 0.77. The attribute_8 is 0.35. The attribute_9 is 0.02. The attribute_10 is 0.01. The attribute_11 is 0.33. The attribute_12 is 0.58. The attribute_13 is 0.47. The attribute_14 is 0.42. The attribute_15 is 0.19. The attribute_16 is 0.47. The attribute_17 is 0.21. The attribute_18 is 0.71. The attribute_19 is 0.51. The attribute_20 is 0.13.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.34. The attribute_1 is 0.22. The attribute_2 is 0.64. The attribute_3 is 0.47. The attribute_4 is 0.37. The attribute_5 is 0.24. The attribute_6 is 0.46. The attribute_7 is 0.44. The attribute_8 is 0.6. The attribute_9 is 0.89. The attribute_10 is 0.91. The attribute_11 is 0.25. The attribute_12 is 0.24. The attribute_13 is 0.56. The attribute_14 is 0.3. The attribute_15 is 0.41. The attribute_16 is 0.38. The attribute_17 is 0.64. The attribute_18 is 0.8. The attribute_19 is 0.39. The attribute_20 is 0.66.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.86. The attribute_1 is 0.42. The attribute_2 is 0.45. The attribute_3 is 0.95. The attribute_4 is 0.29. The attribute_5 is 0.97. The attribute_6 is 0.68. The attribute_7 is 0.59. The attribute_8 is 0.42. The attribute_9 is 0.29. The attribute_10 is 0.33. The attribute_11 is 0.35. The attribute_12 is 0.69. The attribute_13 is 0.73. The attribute_14 is 0.78. The attribute_15 is 0.55. The attribute_16 is 0.43. The attribute_17 is 0.46. The attribute_18 is 0.91. The attribute_19 is 0.33. The attribute_20 is 0.27.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.85. The attribute_1 is 0.06. The attribute_2 is 0.34. The attribute_3 is 0.72. The attribute_4 is 0.37. The attribute_5 is 0.45. The attribute_6 is 0.34. The attribute_7 is 0.82. The attribute_8 is 0.41. The attribute_9 is 0.2. The attribute_10 is 0.33. The attribute_11 is 0.0. The attribute_12 is 0.48. The attribute_13 is 0.67. The attribute_14 is 0.32. The attribute_15 is 0.34. The attribute_16 is 0.44. The attribute_17 is 0.56. The attribute_18 is 0.93. The attribute_19 is 0.46. The attribute_20 is 0.19.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.05. The attribute_1 is 0.7. The attribute_2 is 0.17. The attribute_3 is 0.94. The attribute_4 is 0.83. The attribute_5 is 0.9. The attribute_6 is 0.96. The attribute_7 is 0.03. The attribute_8 is 0.9. The attribute_9 is 0.44. The attribute_10 is 0.49. The attribute_11 is 0.9. The attribute_12 is 0.93. The attribute_13 is 0.88. The attribute_14 is 0.98. The attribute_15 is 0.99. The attribute_16 is 0.61. The attribute_17 is 0.54. The attribute_18 is 0.02. The attribute_19 is 0.56. The attribute_20 is 0.29.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.73. The attribute_1 is 0.69. The attribute_2 is 0.78. The attribute_3 is 0.65. The attribute_4 is 0.78. The attribute_5 is 0.39. The attribute_6 is 0.37. The attribute_7 is 0.6. The attribute_8 is 0.52. The attribute_9 is 0.69. The attribute_10 is 0.65. The attribute_11 is 0.13. The attribute_12 is 0.82. The attribute_13 is 0.64. The attribute_14 is 0.48. The attribute_15 is 0.7. The attribute_16 is 0.56. The attribute_17 is 0.82. The attribute_18 is 0.78. The attribute_19 is 0.79. The attribute_20 is 0.35.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.05. The attribute_1 is 0.98. The attribute_2 is 0.87. The attribute_3 is 0.93. The attribute_4 is 0.57. The attribute_5 is 0.63. The attribute_6 is 0.96. The attribute_7 is 0.06. The attribute_8 is 0.98. The attribute_9 is 0.44. The attribute_10 is 0.76. The attribute_11 is 0.96. The attribute_12 is 0.57. The attribute_13 is 0.65. The attribute_14 is 0.76. The attribute_15 is 0.63. The attribute_16 is 0.49. The attribute_17 is 0.95. The attribute_18 is 0.26. The attribute_19 is 0.43. The attribute_20 is 0.61.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.1. The attribute_1 is 0.69. The attribute_2 is 0.61. The attribute_3 is 0.63. The attribute_4 is 0.84. The attribute_5 is 0.7. The attribute_6 is 0.84. The attribute_7 is 0.11. The attribute_8 is 0.92. The attribute_9 is 0.61. The attribute_10 is 0.54. The attribute_11 is 0.87. The attribute_12 is 0.07. The attribute_13 is 0.7. The attribute_14 is 0.23. The attribute_15 is 0.25. The attribute_16 is 0.99. The attribute_17 is 0.61. The attribute_18 is 0.09. The attribute_19 is 0.99. The attribute_20 is 0.57.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.63. The attribute_1 is 0.94. The attribute_2 is 0.61. The attribute_3 is 0.53. The attribute_4 is 0.81. The attribute_5 is 0.98. The attribute_6 is 0.92. The attribute_7 is 0.21. The attribute_8 is 0.73. The attribute_9 is 0.45. The attribute_10 is 0.49. The attribute_11 is 0.86. The attribute_12 is 0.67. The attribute_13 is 0.83. The attribute_14 is 0.29. The attribute_15 is 0.27. The attribute_16 is 0.73. The attribute_17 is 0.69. The attribute_18 is 0.14. The attribute_19 is 0.54. The attribute_20 is 0.79.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.49. The attribute_1 is 0.52. The attribute_2 is 0.57. The attribute_3 is 0.63. The attribute_4 is 0.48. The attribute_5 is 0.39. The attribute_6 is 0.6. The attribute_7 is 0.48. The attribute_8 is 0.44. The attribute_9 is 0.9. The attribute_10 is 0.92. The attribute_11 is 0.54. The attribute_12 is 0.2. The attribute_13 is 0.53. The attribute_14 is 0.17. The attribute_15 is 0.26. The attribute_16 is 0.46. The attribute_17 is 0.77. The attribute_18 is 0.37. The attribute_19 is 0.55. The attribute_20 is 0.96.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.33. The attribute_1 is 0.96. The attribute_2 is 0.83. The attribute_3 is 0.59. The attribute_4 is 0.82. The attribute_5 is 0.79. The attribute_6 is 0.89. The attribute_7 is 0.26. The attribute_8 is 0.93. The attribute_9 is 0.2. The attribute_10 is 0.51. The attribute_11 is 0.88. The attribute_12 is 0.15. The attribute_13 is 0.62. The attribute_14 is 0.37. The attribute_15 is 0.03. The attribute_16 is 0.77. The attribute_17 is 0.98. The attribute_18 is 0.26. The attribute_19 is 0.92. The attribute_20 is 0.28.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.76. The attribute_1 is 0.06. The attribute_2 is 0.31. The attribute_3 is 0.06. The attribute_4 is 0.96. The attribute_5 is 0.0. The attribute_6 is 0.2. The attribute_7 is 0.71. The attribute_8 is 0.33. The attribute_9 is 0.63. The attribute_10 is 0.55. The attribute_11 is 0.03. The attribute_12 is 0.07. The attribute_13 is 0.22. The attribute_14 is 0.36. The attribute_15 is 0.49. The attribute_16 is 0.21. The attribute_17 is 0.18. The attribute_18 is 0.95. The attribute_19 is 0.44. The attribute_20 is 0.95.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.29. The attribute_1 is 0.93. The attribute_2 is 0.89. The attribute_3 is 0.73. The attribute_4 is 0.01. The attribute_5 is 0.53. The attribute_6 is 0.99. The attribute_7 is 0.01. The attribute_8 is 0.9. The attribute_9 is 0.94. The attribute_10 is 0.8. The attribute_11 is 0.9. The attribute_12 is 0.12. The attribute_13 is 0.62. The attribute_14 is 0.0. The attribute_15 is 0.05. The attribute_16 is 0.1. The attribute_17 is 0.84. The attribute_18 is 0.02. The attribute_19 is 0.08. The attribute_20 is 0.59.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.31. The attribute_1 is 0.64. The attribute_2 is 0.6. The attribute_3 is 0.77. The attribute_4 is 0.24. The attribute_5 is 0.81. The attribute_6 is 0.92. The attribute_7 is 0.13. The attribute_8 is 0.88. The attribute_9 is 0.24. The attribute_10 is 0.15. The attribute_11 is 0.89. The attribute_12 is 0.1. The attribute_13 is 0.81. The attribute_14 is 0.12. The attribute_15 is 0.21. The attribute_16 is 0.4. The attribute_17 is 0.73. The attribute_18 is 0.14. The attribute_19 is 0.37. The attribute_20 is 0.08.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.96. The attribute_1 is 0.52. The attribute_2 is 0.25. The attribute_3 is 0.71. The attribute_4 is 0.48. The attribute_5 is 0.3. The attribute_6 is 0.24. The attribute_7 is 0.93. The attribute_8 is 0.05. The attribute_9 is 0.79. The attribute_10 is 0.49. The attribute_11 is 0.59. The attribute_12 is 0.81. The attribute_13 is 0.48. The attribute_14 is 0.67. The attribute_15 is 0.54. The attribute_16 is 0.54. The attribute_17 is 0.03. The attribute_18 is 0.82. The attribute_19 is 0.6. The attribute_20 is 0.79.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.06. The attribute_1 is 0.64. The attribute_2 is 0.88. The attribute_3 is 0.31. The attribute_4 is 0.21. The attribute_5 is 0.61. The attribute_6 is 0.67. The attribute_7 is 0.3. The attribute_8 is 0.88. The attribute_9 is 0.78. The attribute_10 is 0.67. The attribute_11 is 0.55. The attribute_12 is 0.21. The attribute_13 is 0.54. The attribute_14 is 0.07. The attribute_15 is 0.0. The attribute_16 is 0.13. The attribute_17 is 0.85. The attribute_18 is 0.45. The attribute_19 is 0.09. The attribute_20 is 0.83.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.99. The attribute_1 is 0.93. The attribute_2 is 0.92. The attribute_3 is 0.98. The attribute_4 is 0.47. The attribute_5 is 0.94. The attribute_6 is 0.04. The attribute_7 is 0.95. The attribute_8 is 0.05. The attribute_9 is 0.76. The attribute_10 is 0.48. The attribute_11 is 0.03. The attribute_12 is 0.04. The attribute_13 is 0.85. The attribute_14 is 0.34. The attribute_15 is 0.13. The attribute_16 is 0.56. The attribute_17 is 0.85. The attribute_18 is 0.47. The attribute_19 is 0.08. The attribute_20 is 0.91.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.81. The attribute_1 is 0.09. The attribute_2 is 0.26. The attribute_3 is 0.18. The attribute_4 is 0.37. The attribute_5 is 0.45. The attribute_6 is 0.61. The attribute_7 is 0.35. The attribute_8 is 0.1. The attribute_9 is 0.69. The attribute_10 is 0.46. The attribute_11 is 0.14. The attribute_12 is 0.87. The attribute_13 is 0.16. The attribute_14 is 0.92. The attribute_15 is 1.0. The attribute_16 is 0.37. The attribute_17 is 0.02. The attribute_18 is 0.32. The attribute_19 is 0.41. The attribute_20 is 0.42.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.06. The attribute_1 is 0.67. The attribute_2 is 0.71. The attribute_3 is 0.81. The attribute_4 is 0.54. The attribute_5 is 0.99. The attribute_6 is 0.85. The attribute_7 is 0.03. The attribute_8 is 0.84. The attribute_9 is 0.49. The attribute_10 is 0.33. The attribute_11 is 0.59. The attribute_12 is 0.3. The attribute_13 is 0.88. The attribute_14 is 0.36. The attribute_15 is 0.28. The attribute_16 is 0.6. The attribute_17 is 0.77. The attribute_18 is 0.14. The attribute_19 is 0.65. The attribute_20 is 0.31.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.29. The attribute_1 is 0.88. The attribute_2 is 0.9. The attribute_3 is 0.52. The attribute_4 is 0.7. The attribute_5 is 0.28. The attribute_6 is 0.91. The attribute_7 is 0.2. The attribute_8 is 0.9. The attribute_9 is 0.59. The attribute_10 is 0.6. The attribute_11 is 0.5. The attribute_12 is 0.28. The attribute_13 is 0.14. The attribute_14 is 0.29. The attribute_15 is 0.26. The attribute_16 is 0.88. The attribute_17 is 0.86. The attribute_18 is 0.22. The attribute_19 is 0.85. The attribute_20 is 0.62.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.09. The attribute_1 is 0.39. The attribute_2 is 0.6. The attribute_3 is 0.1. The attribute_4 is 0.56. The attribute_5 is 0.04. The attribute_6 is 0.65. The attribute_7 is 0.23. The attribute_8 is 0.74. The attribute_9 is 0.63. The attribute_10 is 0.75. The attribute_11 is 0.26. The attribute_12 is 0.48. The attribute_13 is 0.02. The attribute_14 is 0.78. The attribute_15 is 0.93. The attribute_16 is 0.57. The attribute_17 is 0.52. The attribute_18 is 0.14. The attribute_19 is 0.65. The attribute_20 is 0.72.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.2. The attribute_1 is 0.53. The attribute_2 is 0.9. The attribute_3 is 0.74. The attribute_4 is 0.52. The attribute_5 is 0.42. The attribute_6 is 0.93. The attribute_7 is 0.6. The attribute_8 is 0.97. The attribute_9 is 0.82. The attribute_10 is 0.96. The attribute_11 is 0.78. The attribute_12 is 0.59. The attribute_13 is 0.54. The attribute_14 is 0.67. The attribute_15 is 0.16. The attribute_16 is 0.54. The attribute_17 is 0.7. The attribute_18 is 0.57. The attribute_19 is 0.45. The attribute_20 is 0.87.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.99. The attribute_1 is 0.13. The attribute_2 is 0.11. The attribute_3 is 0.03. The attribute_4 is 0.7. The attribute_5 is 0.01. The attribute_6 is 0.02. The attribute_7 is 0.87. The attribute_8 is 0.0. The attribute_9 is 0.25. The attribute_10 is 0.28. The attribute_11 is 0.1. The attribute_12 is 0.37. The attribute_13 is 0.04. The attribute_14 is 0.52. The attribute_15 is 0.66. The attribute_16 is 0.93. The attribute_17 is 0.13. The attribute_18 is 0.94. The attribute_19 is 0.95. The attribute_20 is 0.14.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.15. The attribute_1 is 0.37. The attribute_2 is 0.2. The attribute_3 is 0.32. The attribute_4 is 0.23. The attribute_5 is 0.62. The attribute_6 is 0.42. The attribute_7 is 0.09. The attribute_8 is 0.46. The attribute_9 is 0.49. The attribute_10 is 0.43. The attribute_11 is 0.44. The attribute_12 is 0.26. The attribute_13 is 0.32. The attribute_14 is 0.46. The attribute_15 is 0.57. The attribute_16 is 0.29. The attribute_17 is 0.31. The attribute_18 is 0.22. The attribute_19 is 0.38. The attribute_20 is 0.09.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.15. The attribute_1 is 0.7. The attribute_2 is 0.72. The attribute_3 is 0.21. The attribute_4 is 0.08. The attribute_5 is 0.52. The attribute_6 is 0.67. The attribute_7 is 0.29. The attribute_8 is 1.0. The attribute_9 is 0.73. The attribute_10 is 0.52. The attribute_11 is 0.77. The attribute_12 is 0.13. The attribute_13 is 0.25. The attribute_14 is 0.0. The attribute_15 is 0.16. The attribute_16 is 0.08. The attribute_17 is 0.79. The attribute_18 is 0.19. The attribute_19 is 0.16. The attribute_20 is 0.44.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.7. The attribute_1 is 0.87. The attribute_2 is 0.97. The attribute_3 is 0.91. The attribute_4 is 0.54. The attribute_5 is 0.97. The attribute_6 is 0.94. The attribute_7 is 0.56. The attribute_8 is 0.75. The attribute_9 is 0.25. The attribute_10 is 0.61. The attribute_11 is 0.74. The attribute_12 is 0.5. The attribute_13 is 0.94. The attribute_14 is 0.42. The attribute_15 is 0.17. The attribute_16 is 0.61. The attribute_17 is 0.97. The attribute_18 is 0.63. The attribute_19 is 0.32. The attribute_20 is 0.51.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.59. The attribute_1 is 0.19. The attribute_2 is 0.37. The attribute_3 is 0.53. The attribute_4 is 0.53. The attribute_5 is 0.33. The attribute_6 is 0.19. The attribute_7 is 0.74. The attribute_8 is 0.27. The attribute_9 is 0.77. The attribute_10 is 0.61. The attribute_11 is 0.22. The attribute_12 is 0.49. The attribute_13 is 0.47. The attribute_14 is 0.24. The attribute_15 is 0.19. The attribute_16 is 0.72. The attribute_17 is 0.36. The attribute_18 is 0.68. The attribute_19 is 0.47. The attribute_20 is 0.62.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.46. The attribute_1 is 0.81. The attribute_2 is 0.44. The attribute_3 is 0.48. The attribute_4 is 0.53. The attribute_5 is 0.97. The attribute_6 is 0.99. The attribute_7 is 0.06. The attribute_8 is 0.81. The attribute_9 is 0.4. The attribute_10 is 0.71. The attribute_11 is 0.88. The attribute_12 is 0.02. The attribute_13 is 0.84. The attribute_14 is 0.04. The attribute_15 is 0.25. The attribute_16 is 0.47. The attribute_17 is 0.79. The attribute_18 is 0.05. The attribute_19 is 0.55. The attribute_20 is 0.52.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.74. The attribute_1 is 0.38. The attribute_2 is 0.43. The attribute_3 is 0.05. The attribute_4 is 0.31. The attribute_5 is 0.03. The attribute_6 is 0.63. The attribute_7 is 0.57. The attribute_8 is 0.55. The attribute_9 is 0.74. The attribute_10 is 0.46. The attribute_11 is 0.47. The attribute_12 is 0.38. The attribute_13 is 0.13. The attribute_14 is 0.54. The attribute_15 is 0.67. The attribute_16 is 0.56. The attribute_17 is 0.33. The attribute_18 is 0.36. The attribute_19 is 0.61. The attribute_20 is 0.62.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.57. The attribute_1 is 0.15. The attribute_2 is 0.16. The attribute_3 is 0.17. The attribute_4 is 0.87. The attribute_5 is 0.15. The attribute_6 is 0.03. The attribute_7 is 0.78. The attribute_8 is 0.11. The attribute_9 is 0.31. The attribute_10 is 0.29. The attribute_11 is 0.11. The attribute_12 is 0.69. The attribute_13 is 0.2. The attribute_14 is 0.73. The attribute_15 is 0.56. The attribute_16 is 0.99. The attribute_17 is 0.11. The attribute_18 is 0.71. The attribute_19 is 0.97. The attribute_20 is 0.33.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.99. The attribute_1 is 0.13. The attribute_2 is 0.18. The attribute_3 is 0.47. The attribute_4 is 0.5. The attribute_5 is 0.49. The attribute_6 is 0.05. The attribute_7 is 0.99. The attribute_8 is 0.2. The attribute_9 is 0.63. The attribute_10 is 0.42. The attribute_11 is 0.11. The attribute_12 is 0.6. The attribute_13 is 0.28. The attribute_14 is 0.67. The attribute_15 is 0.55. The attribute_16 is 0.59. The attribute_17 is 0.15. The attribute_18 is 0.87. The attribute_19 is 0.37. The attribute_20 is 0.83.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.82. The attribute_1 is 0.63. The attribute_2 is 0.64. The attribute_3 is 0.45. The attribute_4 is 0.6. The attribute_5 is 0.68. The attribute_6 is 0.24. The attribute_7 is 0.71. The attribute_8 is 0.27. The attribute_9 is 0.67. The attribute_10 is 0.77. The attribute_11 is 0.14. The attribute_12 is 0.26. The attribute_13 is 0.71. The attribute_14 is 0.25. The attribute_15 is 0.19. The attribute_16 is 0.57. The attribute_17 is 0.82. The attribute_18 is 0.85. The attribute_19 is 0.55. The attribute_20 is 0.78.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.83. The attribute_1 is 0.53. The attribute_2 is 0.42. The attribute_3 is 0.28. The attribute_4 is 0.69. The attribute_5 is 0.54. The attribute_6 is 0.93. The attribute_7 is 0.38. The attribute_8 is 0.83. The attribute_9 is 0.67. The attribute_10 is 0.64. The attribute_11 is 0.9. The attribute_12 is 0.15. The attribute_13 is 0.11. The attribute_14 is 0.27. The attribute_15 is 0.49. The attribute_16 is 0.53. The attribute_17 is 0.46. The attribute_18 is 0.01. The attribute_19 is 0.63. The attribute_20 is 0.65.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.46. The attribute_1 is 0.47. The attribute_2 is 0.51. The attribute_3 is 0.68. The attribute_4 is 0.89. The attribute_5 is 0.56. The attribute_6 is 0.47. The attribute_7 is 0.4. The attribute_8 is 0.35. The attribute_9 is 0.48. The attribute_10 is 0.78. The attribute_11 is 0.5. The attribute_12 is 0.52. The attribute_13 is 0.82. The attribute_14 is 0.37. The attribute_15 is 0.73. The attribute_16 is 0.97. The attribute_17 is 0.55. The attribute_18 is 0.48. The attribute_19 is 0.86. The attribute_20 is 0.84.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.19. The attribute_1 is 0.33. The attribute_2 is 0.55. The attribute_3 is 0.33. The attribute_4 is 0.37. The attribute_5 is 0.5. The attribute_6 is 0.5. The attribute_7 is 0.17. The attribute_8 is 0.65. The attribute_9 is 0.83. The attribute_10 is 0.75. The attribute_11 is 0.99. The attribute_12 is 0.01. The attribute_13 is 0.34. The attribute_14 is 0.23. The attribute_15 is 0.06. The attribute_16 is 0.31. The attribute_17 is 0.3. The attribute_18 is 0.02. The attribute_19 is 0.12. The attribute_20 is 0.89.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.49. The attribute_1 is 0.95. The attribute_2 is 0.72. The attribute_3 is 0.98. The attribute_4 is 0.14. The attribute_5 is 0.99. The attribute_6 is 0.74. The attribute_7 is 0.44. The attribute_8 is 0.66. The attribute_9 is 0.61. The attribute_10 is 0.72. The attribute_11 is 0.87. The attribute_12 is 0.06. The attribute_13 is 0.91. The attribute_14 is 0.56. The attribute_15 is 0.31. The attribute_16 is 0.47. The attribute_17 is 0.89. The attribute_18 is 0.13. The attribute_19 is 0.56. The attribute_20 is 0.99.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.78. The attribute_1 is 0.67. The attribute_2 is 0.33. The attribute_3 is 0.49. The attribute_4 is 0.22. The attribute_5 is 0.78. The attribute_6 is 0.01. The attribute_7 is 0.9. The attribute_8 is 0.0. The attribute_9 is 0.69. The attribute_10 is 0.3. The attribute_11 is 0.12. The attribute_12 is 0.6. The attribute_13 is 0.48. The attribute_14 is 0.58. The attribute_15 is 0.43. The attribute_16 is 0.14. The attribute_17 is 0.23. The attribute_18 is 0.89. The attribute_19 is 0.01. The attribute_20 is 0.54.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.69. The attribute_1 is 0.77. The attribute_2 is 0.46. The attribute_3 is 0.94. The attribute_4 is 0.97. The attribute_5 is 0.74. The attribute_6 is 0.4. The attribute_7 is 0.89. The attribute_8 is 0.69. The attribute_9 is 0.25. The attribute_10 is 0.46. The attribute_11 is 0.76. The attribute_12 is 0.92. The attribute_13 is 0.7. The attribute_14 is 1.0. The attribute_15 is 0.64. The attribute_16 is 1.0. The attribute_17 is 0.35. The attribute_18 is 0.52. The attribute_19 is 0.99. The attribute_20 is 0.41.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.06. The attribute_1 is 0.01. The attribute_2 is 0.26. The attribute_3 is 0.86. The attribute_4 is 0.98. The attribute_5 is 1.0. The attribute_6 is 0.91. The attribute_7 is 0.07. The attribute_8 is 0.9. The attribute_9 is 0.38. The attribute_10 is 0.31. The attribute_11 is 0.88. The attribute_12 is 0.33. The attribute_13 is 0.92. The attribute_14 is 0.58. The attribute_15 is 0.7. The attribute_16 is 0.9. The attribute_17 is 0.16. The attribute_18 is 0.13. The attribute_19 is 0.99. The attribute_20 is 0.13.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.83. The attribute_1 is 0.67. The attribute_2 is 0.25. The attribute_3 is 0.17. The attribute_4 is 0.53. The attribute_5 is 0.59. The attribute_6 is 0.48. The attribute_7 is 0.54. The attribute_8 is 0.24. The attribute_9 is 0.14. The attribute_10 is 0.46. The attribute_11 is 0.85. The attribute_12 is 0.24. The attribute_13 is 0.44. The attribute_14 is 0.44. The attribute_15 is 0.94. The attribute_16 is 0.79. The attribute_17 is 0.48. The attribute_18 is 0.08. The attribute_19 is 0.73. The attribute_20 is 0.46.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 1.0. The attribute_1 is 0.01. The attribute_2 is 0.02. The attribute_3 is 0.22. The attribute_4 is 0.88. The attribute_5 is 0.31. The attribute_6 is 0.01. The attribute_7 is 0.98. The attribute_8 is 0.01. The attribute_9 is 0.06. The attribute_10 is 0.02. The attribute_11 is 0.01. The attribute_12 is 0.03. The attribute_13 is 0.09. The attribute_14 is 0.01. The attribute_15 is 0.01. The attribute_16 is 0.95. The attribute_17 is 0.02. The attribute_18 is 0.93. The attribute_19 is 0.96. The attribute_20 is 0.06.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.73. The attribute_1 is 0.71. The attribute_2 is 0.44. The attribute_3 is 0.46. The attribute_4 is 0.2. The attribute_5 is 0.61. The attribute_6 is 0.85. The attribute_7 is 0.45. The attribute_8 is 0.6. The attribute_9 is 0.24. The attribute_10 is 0.55. The attribute_11 is 0.74. The attribute_12 is 0.42. The attribute_13 is 0.39. The attribute_14 is 0.48. The attribute_15 is 0.33. The attribute_16 is 0.14. The attribute_17 is 0.82. The attribute_18 is 0.42. The attribute_19 is 0.16. The attribute_20 is 0.53.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.01. The attribute_1 is 0.1. The attribute_2 is 0.01. The attribute_3 is 0.93. The attribute_4 is 0.14. The attribute_5 is 0.87. The attribute_6 is 0.97. The attribute_7 is 0.02. The attribute_8 is 0.98. The attribute_9 is 0.08. The attribute_10 is 0.06. The attribute_11 is 0.74. The attribute_12 is 0.0. The attribute_13 is 0.96. The attribute_14 is 0.19. The attribute_15 is 0.08. The attribute_16 is 0.02. The attribute_17 is 0.0. The attribute_18 is 0.07. The attribute_19 is 0.01. The attribute_20 is 0.14.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.14. The attribute_1 is 0.09. The attribute_2 is 0.03. The attribute_3 is 0.85. The attribute_4 is 0.07. The attribute_5 is 0.87. The attribute_6 is 0.79. The attribute_7 is 0.08. The attribute_8 is 0.71. The attribute_9 is 0.57. The attribute_10 is 0.77. The attribute_11 is 0.98. The attribute_12 is 0.44. The attribute_13 is 0.91. The attribute_14 is 0.26. The attribute_15 is 0.62. The attribute_16 is 0.08. The attribute_17 is 0.27. The attribute_18 is 0.27. The attribute_19 is 0.02. The attribute_20 is 0.33.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.7. The attribute_1 is 0.25. The attribute_2 is 0.26. The attribute_3 is 0.13. The attribute_4 is 0.63. The attribute_5 is 0.05. The attribute_6 is 0.07. The attribute_7 is 0.89. The attribute_8 is 0.12. The attribute_9 is 0.46. The attribute_10 is 0.37. The attribute_11 is 0.18. The attribute_12 is 0.65. The attribute_13 is 0.08. The attribute_14 is 0.7. The attribute_15 is 0.57. The attribute_16 is 0.33. The attribute_17 is 0.21. The attribute_18 is 0.35. The attribute_19 is 0.81. The attribute_20 is 0.44.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.16. The attribute_1 is 0.96. The attribute_2 is 0.88. The attribute_3 is 0.61. The attribute_4 is 0.96. The attribute_5 is 0.72. The attribute_6 is 0.52. The attribute_7 is 0.18. The attribute_8 is 0.72. The attribute_9 is 0.24. The attribute_10 is 0.27. The attribute_11 is 0.82. The attribute_12 is 0.83. The attribute_13 is 0.43. The attribute_14 is 0.78. The attribute_15 is 0.56. The attribute_16 is 0.82. The attribute_17 is 0.81. The attribute_18 is 0.31. The attribute_19 is 0.82. The attribute_20 is 0.09.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.36. The attribute_1 is 0.83. The attribute_2 is 0.38. The attribute_3 is 0.52. The attribute_4 is 0.64. The attribute_5 is 0.71. The attribute_6 is 0.78. The attribute_7 is 0.29. The attribute_8 is 0.56. The attribute_9 is 1.0. The attribute_10 is 0.99. The attribute_11 is 0.97. The attribute_12 is 0.12. The attribute_13 is 0.69. The attribute_14 is 0.29. The attribute_15 is 0.39. The attribute_16 is 0.43. The attribute_17 is 0.75. The attribute_18 is 0.3. The attribute_19 is 0.81. The attribute_20 is 0.97.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.6. The attribute_1 is 0.81. The attribute_2 is 0.94. The attribute_3 is 0.05. The attribute_4 is 0.4. The attribute_5 is 0.27. The attribute_6 is 0.66. The attribute_7 is 0.7. The attribute_8 is 0.57. The attribute_9 is 0.85. The attribute_10 is 0.71. The attribute_11 is 0.53. The attribute_12 is 0.0. The attribute_13 is 0.16. The attribute_14 is 0.01. The attribute_15 is 0.05. The attribute_16 is 0.29. The attribute_17 is 0.97. The attribute_18 is 0.58. The attribute_19 is 0.23. The attribute_20 is 0.78.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.74. The attribute_1 is 0.02. The attribute_2 is 0.22. The attribute_3 is 0.1. The attribute_4 is 0.57. The attribute_5 is 0.21. The attribute_6 is 0.13. The attribute_7 is 0.68. The attribute_8 is 0.29. The attribute_9 is 0.11. The attribute_10 is 0.24. The attribute_11 is 0.2. The attribute_12 is 0.73. The attribute_13 is 0.09. The attribute_14 is 0.97. The attribute_15 is 0.76. The attribute_16 is 0.67. The attribute_17 is 0.08. The attribute_18 is 0.81. The attribute_19 is 0.48. The attribute_20 is 0.22.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.1. The attribute_1 is 0.84. The attribute_2 is 0.96. The attribute_3 is 0.4. The attribute_4 is 0.87. The attribute_5 is 0.83. The attribute_6 is 0.93. The attribute_7 is 0.11. The attribute_8 is 1.0. The attribute_9 is 0.91. The attribute_10 is 0.93. The attribute_11 is 0.91. The attribute_12 is 0.79. The attribute_13 is 0.51. The attribute_14 is 0.62. The attribute_15 is 0.61. The attribute_16 is 0.86. The attribute_17 is 0.94. The attribute_18 is 0.27. The attribute_19 is 0.83. The attribute_20 is 0.88.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.9. The attribute_1 is 0.8. The attribute_2 is 0.4. The attribute_3 is 0.1. The attribute_4 is 0.86. The attribute_5 is 0.47. The attribute_6 is 0.23. The attribute_7 is 0.81. The attribute_8 is 0.25. The attribute_9 is 0.34. The attribute_10 is 0.39. The attribute_11 is 0.3. The attribute_12 is 0.8. The attribute_13 is 0.35. The attribute_14 is 0.85. The attribute_15 is 0.89. The attribute_16 is 0.41. The attribute_17 is 0.47. The attribute_18 is 0.46. The attribute_19 is 0.49. The attribute_20 is 0.16.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.23. The attribute_1 is 0.61. The attribute_2 is 0.91. The attribute_3 is 0.72. The attribute_4 is 0.27. The attribute_5 is 0.78. The attribute_6 is 0.96. The attribute_7 is 0.13. The attribute_8 is 0.86. The attribute_9 is 0.58. The attribute_10 is 0.61. The attribute_11 is 0.67. The attribute_12 is 0.66. The attribute_13 is 0.73. The attribute_14 is 0.46. The attribute_15 is 0.54. The attribute_16 is 0.12. The attribute_17 is 0.86. The attribute_18 is 0.46. The attribute_19 is 0.38. The attribute_20 is 0.49.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.17. The attribute_1 is 0.84. The attribute_2 is 0.75. The attribute_3 is 0.88. The attribute_4 is 0.51. The attribute_5 is 0.34. The attribute_6 is 0.88. The attribute_7 is 0.23. The attribute_8 is 0.82. The attribute_9 is 0.11. The attribute_10 is 0.06. The attribute_11 is 0.49. The attribute_12 is 0.58. The attribute_13 is 0.72. The attribute_14 is 0.63. The attribute_15 is 0.69. The attribute_16 is 0.6. The attribute_17 is 0.8. The attribute_18 is 0.54. The attribute_19 is 0.5. The attribute_20 is 0.22.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.82. The attribute_1 is 0.51. The attribute_2 is 0.42. The attribute_3 is 0.15. The attribute_4 is 0.27. The attribute_5 is 0.01. The attribute_6 is 0.07. The attribute_7 is 0.9. The attribute_8 is 0.25. The attribute_9 is 0.7. The attribute_10 is 0.51. The attribute_11 is 0.04. The attribute_12 is 0.81. The attribute_13 is 0.1. The attribute_14 is 0.67. The attribute_15 is 0.7. The attribute_16 is 0.64. The attribute_17 is 0.22. The attribute_18 is 0.93. The attribute_19 is 0.59. The attribute_20 is 0.6.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.9. The attribute_1 is 1.0. The attribute_2 is 0.3. The attribute_3 is 0.01. The attribute_4 is 0.1. The attribute_5 is 0.0. The attribute_6 is 0.2. The attribute_7 is 0.91. The attribute_8 is 0.24. The attribute_9 is 0.22. The attribute_10 is 0.16. The attribute_11 is 0.89. The attribute_12 is 0.02. The attribute_13 is 0.0. The attribute_14 is 0.59. The attribute_15 is 0.36. The attribute_16 is 0.81. The attribute_17 is 0.34. The attribute_18 is 0.88. The attribute_19 is 0.73. The attribute_20 is 0.01.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.2. The attribute_1 is 0.58. The attribute_2 is 0.72. The attribute_3 is 0.4. The attribute_4 is 0.57. The attribute_5 is 0.35. The attribute_6 is 0.87. The attribute_7 is 0.16. The attribute_8 is 0.75. The attribute_9 is 0.17. The attribute_10 is 0.42. The attribute_11 is 0.81. The attribute_12 is 0.34. The attribute_13 is 0.54. The attribute_14 is 0.42. The attribute_15 is 0.46. The attribute_16 is 0.61. The attribute_17 is 0.84. The attribute_18 is 0.16. The attribute_19 is 0.84. The attribute_20 is 0.25.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.82. The attribute_1 is 0.13. The attribute_2 is 0.33. The attribute_3 is 0.31. The attribute_4 is 0.9. The attribute_5 is 0.14. The attribute_6 is 0.05. The attribute_7 is 0.94. The attribute_8 is 0.25. The attribute_9 is 0.34. The attribute_10 is 0.13. The attribute_11 is 0.03. The attribute_12 is 0.9. The attribute_13 is 0.13. The attribute_14 is 0.95. The attribute_15 is 0.69. The attribute_16 is 0.97. The attribute_17 is 0.17. The attribute_18 is 0.73. The attribute_19 is 0.85. The attribute_20 is 0.26.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.85. The attribute_1 is 0.44. The attribute_2 is 0.65. The attribute_3 is 0.02. The attribute_4 is 0.55. The attribute_5 is 0.2. The attribute_6 is 0.47. The attribute_7 is 0.89. The attribute_8 is 0.48. The attribute_9 is 0.98. The attribute_10 is 0.91. The attribute_11 is 0.44. The attribute_12 is 0.88. The attribute_13 is 0.21. The attribute_14 is 0.95. The attribute_15 is 0.94. The attribute_16 is 0.66. The attribute_17 is 0.61. The attribute_18 is 0.94. The attribute_19 is 0.75. The attribute_20 is 0.99.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.2. The attribute_1 is 0.53. The attribute_2 is 0.17. The attribute_3 is 0.14. The attribute_4 is 0.31. The attribute_5 is 0.46. The attribute_6 is 0.31. The attribute_7 is 0.21. The attribute_8 is 0.1. The attribute_9 is 0.4. The attribute_10 is 0.6. The attribute_11 is 0.45. The attribute_12 is 0.51. The attribute_13 is 0.36. The attribute_14 is 0.67. The attribute_15 is 0.74. The attribute_16 is 0.56. The attribute_17 is 0.46. The attribute_18 is 0.04. The attribute_19 is 0.43. The attribute_20 is 0.84.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.1. The attribute_1 is 0.56. The attribute_2 is 0.37. The attribute_3 is 0.79. The attribute_4 is 0.47. The attribute_5 is 0.75. The attribute_6 is 0.82. The attribute_7 is 0.15. The attribute_8 is 0.62. The attribute_9 is 0.75. The attribute_10 is 0.71. The attribute_11 is 0.7. The attribute_12 is 0.62. The attribute_13 is 0.87. The attribute_14 is 0.55. The attribute_15 is 0.46. The attribute_16 is 0.47. The attribute_17 is 0.54. The attribute_18 is 0.22. The attribute_19 is 0.44. The attribute_20 is 0.69.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.35. The attribute_1 is 0.97. The attribute_2 is 0.81. The attribute_3 is 0.93. The attribute_4 is 0.17. The attribute_5 is 0.85. The attribute_6 is 0.66. The attribute_7 is 0.55. The attribute_8 is 0.58. The attribute_9 is 0.69. The attribute_10 is 0.82. The attribute_11 is 0.72. The attribute_12 is 0.73. The attribute_13 is 0.79. The attribute_14 is 0.93. The attribute_15 is 0.86. The attribute_16 is 0.37. The attribute_17 is 0.84. The attribute_18 is 0.58. The attribute_19 is 0.31. The attribute_20 is 0.93.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.94. The attribute_1 is 0.24. The attribute_2 is 0.15. The attribute_3 is 0.13. The attribute_4 is 0.2. The attribute_5 is 0.51. The attribute_6 is 0.29. The attribute_7 is 0.87. The attribute_8 is 0.13. The attribute_9 is 0.33. The attribute_10 is 0.42. The attribute_11 is 0.2. The attribute_12 is 0.65. The attribute_13 is 0.25. The attribute_14 is 0.72. The attribute_15 is 0.63. The attribute_16 is 0.17. The attribute_17 is 0.43. The attribute_18 is 0.81. The attribute_19 is 0.12. The attribute_20 is 0.4.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.98. The attribute_1 is 0.26. The attribute_2 is 0.01. The attribute_3 is 0.54. The attribute_4 is 0.16. The attribute_5 is 0.67. The attribute_6 is 0.18. The attribute_7 is 0.9. The attribute_8 is 0.01. The attribute_9 is 0.05. The attribute_10 is 0.01. The attribute_11 is 0.09. The attribute_12 is 0.77. The attribute_13 is 0.55. The attribute_14 is 0.94. The attribute_15 is 0.89. The attribute_16 is 0.26. The attribute_17 is 0.17. The attribute_18 is 0.81. The attribute_19 is 0.19. The attribute_20 is 0.15.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.18. The attribute_1 is 0.83. The attribute_2 is 0.3. The attribute_3 is 0.8. The attribute_4 is 0.51. The attribute_5 is 0.93. The attribute_6 is 0.58. The attribute_7 is 0.3. The attribute_8 is 0.38. The attribute_9 is 0.67. The attribute_10 is 0.9. The attribute_11 is 0.78. The attribute_12 is 0.42. The attribute_13 is 0.73. The attribute_14 is 0.36. The attribute_15 is 0.35. The attribute_16 is 0.29. The attribute_17 is 0.44. The attribute_18 is 0.57. The attribute_19 is 0.37. The attribute_20 is 0.96.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.85. The attribute_1 is 0.47. The attribute_2 is 0.42. The attribute_3 is 0.35. The attribute_4 is 0.41. The attribute_5 is 0.27. The attribute_6 is 0.19. The attribute_7 is 0.85. The attribute_8 is 0.13. The attribute_9 is 0.11. The attribute_10 is 0.15. The attribute_11 is 0.71. The attribute_12 is 0.74. The attribute_13 is 0.54. The attribute_14 is 0.75. The attribute_15 is 0.69. The attribute_16 is 0.18. The attribute_17 is 0.54. The attribute_18 is 0.47. The attribute_19 is 0.41. The attribute_20 is 0.5.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.18. The attribute_1 is 0.1. The attribute_2 is 0.06. The attribute_3 is 0.73. The attribute_4 is 0.13. The attribute_5 is 0.78. The attribute_6 is 0.97. The attribute_7 is 0.13. The attribute_8 is 0.97. The attribute_9 is 0.84. The attribute_10 is 0.82. The attribute_11 is 0.95. The attribute_12 is 0.26. The attribute_13 is 0.89. The attribute_14 is 0.47. The attribute_15 is 0.57. The attribute_16 is 0.57. The attribute_17 is 0.06. The attribute_18 is 0.46. The attribute_19 is 0.51. The attribute_20 is 0.55.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.15. The attribute_1 is 0.37. The attribute_2 is 0.8. The attribute_3 is 0.57. The attribute_4 is 0.56. The attribute_5 is 0.28. The attribute_6 is 0.84. The attribute_7 is 0.22. The attribute_8 is 0.84. The attribute_9 is 0.25. The attribute_10 is 0.3. The attribute_11 is 0.83. The attribute_12 is 0.58. The attribute_13 is 0.31. The attribute_14 is 0.46. The attribute_15 is 0.18. The attribute_16 is 0.59. The attribute_17 is 0.67. The attribute_18 is 0.44. The attribute_19 is 0.73. The attribute_20 is 0.23.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.51. The attribute_1 is 0.63. The attribute_2 is 0.73. The attribute_3 is 0.46. The attribute_4 is 0.35. The attribute_5 is 0.63. The attribute_6 is 0.24. The attribute_7 is 0.37. The attribute_8 is 0.24. The attribute_9 is 0.92. The attribute_10 is 0.89. The attribute_11 is 0.46. The attribute_12 is 0.51. The attribute_13 is 0.51. The attribute_14 is 0.43. The attribute_15 is 0.31. The attribute_16 is 0.49. The attribute_17 is 0.68. The attribute_18 is 0.48. The attribute_19 is 0.59. The attribute_20 is 0.8.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.06. The attribute_1 is 0.3. The attribute_2 is 0.4. The attribute_3 is 0.25. The attribute_4 is 0.87. The attribute_5 is 0.2. The attribute_6 is 0.43. The attribute_7 is 0.21. The attribute_8 is 0.57. The attribute_9 is 0.25. The attribute_10 is 0.07. The attribute_11 is 0.01. The attribute_12 is 0.75. The attribute_13 is 0.21. The attribute_14 is 0.72. The attribute_15 is 0.66. The attribute_16 is 0.96. The attribute_17 is 0.53. The attribute_18 is 0.31. The attribute_19 is 0.73. The attribute_20 is 0.14.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.79. The attribute_1 is 0.7. The attribute_2 is 0.63. The attribute_3 is 0.23. The attribute_4 is 0.93. The attribute_5 is 0.19. The attribute_6 is 0.21. The attribute_7 is 0.65. The attribute_8 is 0.0. The attribute_9 is 0.98. The attribute_10 is 0.48. The attribute_11 is 0.44. The attribute_12 is 0.71. The attribute_13 is 0.22. The attribute_14 is 0.55. The attribute_15 is 0.55. The attribute_16 is 0.87. The attribute_17 is 0.54. The attribute_18 is 0.29. The attribute_19 is 0.97. The attribute_20 is 0.45.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.31. The attribute_1 is 0.38. The attribute_2 is 0.18. The attribute_3 is 0.69. The attribute_4 is 0.84. The attribute_5 is 0.55. The attribute_6 is 0.72. The attribute_7 is 0.19. The attribute_8 is 0.67. The attribute_9 is 0.2. The attribute_10 is 0.12. The attribute_11 is 0.6. The attribute_12 is 0.26. The attribute_13 is 0.83. The attribute_14 is 0.02. The attribute_15 is 0.0. The attribute_16 is 0.91. The attribute_17 is 0.12. The attribute_18 is 0.54. The attribute_19 is 0.92. The attribute_20 is 0.21.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.65. The attribute_1 is 0.46. The attribute_2 is 0.52. The attribute_3 is 0.38. The attribute_4 is 0.38. The attribute_5 is 0.66. The attribute_6 is 0.46. The attribute_7 is 0.68. The attribute_8 is 0.53. The attribute_9 is 0.52. The attribute_10 is 0.5. The attribute_11 is 0.49. The attribute_12 is 0.38. The attribute_13 is 0.33. The attribute_14 is 0.6. The attribute_15 is 0.64. The attribute_16 is 0.79. The attribute_17 is 0.43. The attribute_18 is 0.81. The attribute_19 is 0.77. The attribute_20 is 0.12.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.15. The attribute_1 is 0.14. The attribute_2 is 0.16. The attribute_3 is 0.38. The attribute_4 is 0.39. The attribute_5 is 0.15. The attribute_6 is 0.53. The attribute_7 is 0.16. The attribute_8 is 0.68. The attribute_9 is 0.16. The attribute_10 is 0.05. The attribute_11 is 0.38. The attribute_12 is 0.17. The attribute_13 is 0.48. The attribute_14 is 0.1. The attribute_15 is 0.11. The attribute_16 is 0.08. The attribute_17 is 0.04. The attribute_18 is 0.28. The attribute_19 is 0.03. The attribute_20 is 0.1.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.16. The attribute_1 is 0.68. The attribute_2 is 0.7. The attribute_3 is 0.59. The attribute_4 is 0.68. The attribute_5 is 0.65. The attribute_6 is 0.65. The attribute_7 is 0.55. The attribute_8 is 0.92. The attribute_9 is 0.59. The attribute_10 is 0.79. The attribute_11 is 0.21. The attribute_12 is 0.07. The attribute_13 is 0.94. The attribute_14 is 0.2. The attribute_15 is 0.24. The attribute_16 is 0.79. The attribute_17 is 0.74. The attribute_18 is 0.73. The attribute_19 is 0.86. The attribute_20 is 0.78.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.59. The attribute_1 is 0.99. The attribute_2 is 0.87. The attribute_3 is 0.98. The attribute_4 is 0.81. The attribute_5 is 0.92. The attribute_6 is 1.0. The attribute_7 is 0.46. The attribute_8 is 0.81. The attribute_9 is 0.59. The attribute_10 is 0.54. The attribute_11 is 0.68. The attribute_12 is 0.29. The attribute_13 is 0.97. The attribute_14 is 0.1. The attribute_15 is 0.53. The attribute_16 is 0.94. The attribute_17 is 0.98. The attribute_18 is 0.29. The attribute_19 is 0.81. The attribute_20 is 0.48.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.32. The attribute_1 is 0.41. The attribute_2 is 0.6. The attribute_3 is 0.27. The attribute_4 is 0.82. The attribute_5 is 0.18. The attribute_6 is 1.0. The attribute_7 is 0.24. The attribute_8 is 0.98. The attribute_9 is 0.85. The attribute_10 is 0.86. The attribute_11 is 0.94. The attribute_12 is 0.59. The attribute_13 is 0.5. The attribute_14 is 0.63. The attribute_15 is 0.88. The attribute_16 is 0.89. The attribute_17 is 0.83. The attribute_18 is 0.6. The attribute_19 is 0.85. The attribute_20 is 0.92.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.75. The attribute_1 is 0.09. The attribute_2 is 0.25. The attribute_3 is 0.68. The attribute_4 is 0.71. The attribute_5 is 0.6. The attribute_6 is 0.23. The attribute_7 is 0.86. The attribute_8 is 0.27. The attribute_9 is 0.51. The attribute_10 is 0.73. The attribute_11 is 0.06. The attribute_12 is 0.71. The attribute_13 is 0.71. The attribute_14 is 0.49. The attribute_15 is 0.49. The attribute_16 is 0.76. The attribute_17 is 0.2. The attribute_18 is 0.81. The attribute_19 is 0.84. The attribute_20 is 0.35.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.89. The attribute_1 is 0.28. The attribute_2 is 0.5. The attribute_3 is 0.6. The attribute_4 is 0.77. The attribute_5 is 0.06. The attribute_6 is 0.1. The attribute_7 is 0.98. The attribute_8 is 0.39. The attribute_9 is 0.71. The attribute_10 is 0.48. The attribute_11 is 0.26. The attribute_12 is 0.88. The attribute_13 is 0.38. The attribute_14 is 1.0. The attribute_15 is 0.92. The attribute_16 is 0.96. The attribute_17 is 0.14. The attribute_18 is 0.94. The attribute_19 is 0.81. The attribute_20 is 0.33.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.51. The attribute_1 is 0.43. The attribute_2 is 0.61. The attribute_3 is 0.33. The attribute_4 is 0.93. The attribute_5 is 0.22. The attribute_6 is 0.44. The attribute_7 is 0.42. The attribute_8 is 0.53. The attribute_9 is 0.93. The attribute_10 is 0.92. The attribute_11 is 0.13. The attribute_12 is 0.99. The attribute_13 is 0.24. The attribute_14 is 0.97. The attribute_15 is 1.0. The attribute_16 is 0.92. The attribute_17 is 0.71. The attribute_18 is 0.67. The attribute_19 is 0.97. The attribute_20 is 0.99.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.86. The attribute_1 is 0.24. The attribute_2 is 0.26. The attribute_3 is 0.4. The attribute_4 is 0.59. The attribute_5 is 0.85. The attribute_6 is 0.47. The attribute_7 is 0.44. The attribute_8 is 0.07. The attribute_9 is 0.68. The attribute_10 is 0.33. The attribute_11 is 0.46. The attribute_12 is 0.06. The attribute_13 is 0.21. The attribute_14 is 0.05. The attribute_15 is 0.15. The attribute_16 is 0.41. The attribute_17 is 0.06. The attribute_18 is 0.08. The attribute_19 is 0.21. The attribute_20 is 0.35.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.27. The attribute_1 is 0.43. The attribute_2 is 0.53. The attribute_3 is 0.42. The attribute_4 is 0.08. The attribute_5 is 0.75. The attribute_6 is 0.53. The attribute_7 is 0.3. The attribute_8 is 0.45. The attribute_9 is 0.74. The attribute_10 is 0.7. The attribute_11 is 0.84. The attribute_12 is 0.32. The attribute_13 is 0.79. The attribute_14 is 0.2. The attribute_15 is 0.22. The attribute_16 is 0.14. The attribute_17 is 0.65. The attribute_18 is 0.04. The attribute_19 is 0.05. The attribute_20 is 0.64.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.68. The attribute_1 is 0.44. The attribute_2 is 0.17. The attribute_3 is 0.08. The attribute_4 is 0.71. The attribute_5 is 0.17. The attribute_6 is 0.07. The attribute_7 is 0.83. The attribute_8 is 0.15. The attribute_9 is 0.43. The attribute_10 is 0.32. The attribute_11 is 0.07. The attribute_12 is 0.27. The attribute_13 is 0.13. The attribute_14 is 0.43. The attribute_15 is 0.38. The attribute_16 is 0.81. The attribute_17 is 0.31. The attribute_18 is 0.65. The attribute_19 is 0.57. The attribute_20 is 0.19.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.13. The attribute_1 is 0.99. The attribute_2 is 1.0. The attribute_3 is 0.4. The attribute_4 is 0.16. The attribute_5 is 0.28. The attribute_6 is 0.98. The attribute_7 is 0.03. The attribute_8 is 0.9. The attribute_9 is 0.32. The attribute_10 is 0.57. The attribute_11 is 0.93. The attribute_12 is 0.28. The attribute_13 is 0.41. The attribute_14 is 0.08. The attribute_15 is 0.19. The attribute_16 is 0.18. The attribute_17 is 1.0. The attribute_18 is 0.32. The attribute_19 is 0.2. The attribute_20 is 0.34.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.7. The attribute_1 is 0.91. The attribute_2 is 0.81. The attribute_3 is 0.3. The attribute_4 is 0.65. The attribute_5 is 0.8. The attribute_6 is 0.95. The attribute_7 is 0.25. The attribute_8 is 0.73. The attribute_9 is 0.56. The attribute_10 is 0.95. The attribute_11 is 0.99. The attribute_12 is 0.25. The attribute_13 is 0.77. The attribute_14 is 0.39. The attribute_15 is 0.64. The attribute_16 is 0.68. The attribute_17 is 0.98. The attribute_18 is 0.29. The attribute_19 is 0.92. The attribute_20 is 0.92.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.62. The attribute_1 is 0.82. The attribute_2 is 0.51. The attribute_3 is 0.14. The attribute_4 is 0.27. The attribute_5 is 0.41. The attribute_6 is 0.61. The attribute_7 is 0.58. The attribute_8 is 0.6. The attribute_9 is 0.98. The attribute_10 is 0.91. The attribute_11 is 0.74. The attribute_12 is 0.25. The attribute_13 is 0.24. The attribute_14 is 0.56. The attribute_15 is 0.81. The attribute_16 is 0.22. The attribute_17 is 0.7. The attribute_18 is 0.51. The attribute_19 is 0.33. The attribute_20 is 0.87.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.85. The attribute_1 is 0.18. The attribute_2 is 0.36. The attribute_3 is 0.36. The attribute_4 is 0.59. The attribute_5 is 0.21. The attribute_6 is 0.35. The attribute_7 is 0.89. The attribute_8 is 0.68. The attribute_9 is 0.03. The attribute_10 is 0.0. The attribute_11 is 0.1. The attribute_12 is 0.55. The attribute_13 is 0.54. The attribute_14 is 0.52. The attribute_15 is 0.68. The attribute_16 is 0.65. The attribute_17 is 0.31. The attribute_18 is 0.87. The attribute_19 is 0.7. The attribute_20 is 0.03.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.98. The attribute_1 is 0.02. The attribute_2 is 0.14. The attribute_3 is 0.02. The attribute_4 is 0.37. The attribute_5 is 0.18. The attribute_6 is 0.01. The attribute_7 is 1.0. The attribute_8 is 0.0. The attribute_9 is 0.24. The attribute_10 is 0.11. The attribute_11 is 0.02. The attribute_12 is 0.04. The attribute_13 is 0.16. The attribute_14 is 0.02. The attribute_15 is 0.1. The attribute_16 is 0.4. The attribute_17 is 0.06. The attribute_18 is 0.94. The attribute_19 is 0.56. The attribute_20 is 0.1.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.28. The attribute_1 is 0.77. The attribute_2 is 0.84. The attribute_3 is 0.6. The attribute_4 is 0.15. The attribute_5 is 0.68. The attribute_6 is 0.51. The attribute_7 is 0.47. The attribute_8 is 0.48. The attribute_9 is 0.22. The attribute_10 is 0.1. The attribute_11 is 0.37. The attribute_12 is 0.67. The attribute_13 is 0.72. The attribute_14 is 0.38. The attribute_15 is 0.49. The attribute_16 is 0.21. The attribute_17 is 0.84. The attribute_18 is 0.39. The attribute_19 is 0.26. The attribute_20 is 0.21.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.3. The attribute_1 is 0.03. The attribute_2 is 0.63. The attribute_3 is 0.35. The attribute_4 is 0.66. The attribute_5 is 0.11. The attribute_6 is 0.11. The attribute_7 is 0.45. The attribute_8 is 0.38. The attribute_9 is 0.42. The attribute_10 is 0.38. The attribute_11 is 0.07. The attribute_12 is 0.11. The attribute_13 is 0.34. The attribute_14 is 0.47. The attribute_15 is 0.16. The attribute_16 is 0.82. The attribute_17 is 0.25. The attribute_18 is 0.81. The attribute_19 is 0.64. The attribute_20 is 0.07.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.56. The attribute_1 is 0.31. The attribute_2 is 0.23. The attribute_3 is 0.12. The attribute_4 is 0.72. The attribute_5 is 0.27. The attribute_6 is 0.34. The attribute_7 is 0.33. The attribute_8 is 0.26. The attribute_9 is 0.14. The attribute_10 is 0.38. The attribute_11 is 0.44. The attribute_12 is 0.55. The attribute_13 is 0.23. The attribute_14 is 0.67. The attribute_15 is 0.95. The attribute_16 is 0.78. The attribute_17 is 0.32. The attribute_18 is 0.31. The attribute_19 is 0.67. The attribute_20 is 0.54.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.33. The attribute_1 is 0.89. The attribute_2 is 0.98. The attribute_3 is 0.99. The attribute_4 is 0.19. The attribute_5 is 0.56. The attribute_6 is 0.91. The attribute_7 is 0.39. The attribute_8 is 0.98. The attribute_9 is 0.95. The attribute_10 is 0.91. The attribute_11 is 0.95. The attribute_12 is 0.39. The attribute_13 is 0.91. The attribute_14 is 0.77. The attribute_15 is 0.31. The attribute_16 is 0.04. The attribute_17 is 1.0. The attribute_18 is 0.13. The attribute_19 is 0.13. The attribute_20 is 0.93.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.8. The attribute_1 is 0.3. The attribute_2 is 0.33. The attribute_3 is 0.1. The attribute_4 is 0.55. The attribute_5 is 0.07. The attribute_6 is 0.4. The attribute_7 is 0.94. The attribute_8 is 0.38. The attribute_9 is 0.79. The attribute_10 is 0.71. The attribute_11 is 0.43. The attribute_12 is 0.5. The attribute_13 is 0.05. The attribute_14 is 0.52. The attribute_15 is 0.59. The attribute_16 is 0.76. The attribute_17 is 0.12. The attribute_18 is 0.69. The attribute_19 is 0.65. The attribute_20 is 0.56.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.84. The attribute_1 is 0.63. The attribute_2 is 0.09. The attribute_3 is 0.1. The attribute_4 is 0.41. The attribute_5 is 0.45. The attribute_6 is 0.27. The attribute_7 is 0.63. The attribute_8 is 0.08. The attribute_9 is 0.04. The attribute_10 is 0.04. The attribute_11 is 0.64. The attribute_12 is 0.24. The attribute_13 is 0.31. The attribute_14 is 0.05. The attribute_15 is 0.05. The attribute_16 is 0.45. The attribute_17 is 0.19. The attribute_18 is 0.6. The attribute_19 is 0.6. The attribute_20 is 0.11.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.58. The attribute_1 is 0.11. The attribute_2 is 0.19. The attribute_3 is 0.15. The attribute_4 is 0.91. The attribute_5 is 0.17. The attribute_6 is 0.26. The attribute_7 is 0.63. The attribute_8 is 0.19. The attribute_9 is 0.34. The attribute_10 is 0.23. The attribute_11 is 0.12. The attribute_12 is 0.73. The attribute_13 is 0.13. The attribute_14 is 0.94. The attribute_15 is 0.82. The attribute_16 is 0.83. The attribute_17 is 0.22. The attribute_18 is 0.98. The attribute_19 is 0.81. The attribute_20 is 0.3.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.75. The attribute_1 is 0.88. The attribute_2 is 0.98. The attribute_3 is 0.68. The attribute_4 is 0.95. The attribute_5 is 0.12. The attribute_6 is 0.65. The attribute_7 is 0.35. The attribute_8 is 0.48. The attribute_9 is 0.32. The attribute_10 is 0.12. The attribute_11 is 0.05. The attribute_12 is 0.07. The attribute_13 is 0.97. The attribute_14 is 0.35. The attribute_15 is 0.14. The attribute_16 is 0.95. The attribute_17 is 0.93. The attribute_18 is 0.96. The attribute_19 is 0.81. The attribute_20 is 0.09.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.25. The attribute_1 is 0.32. The attribute_2 is 0.54. The attribute_3 is 0.17. The attribute_4 is 0.21. The attribute_5 is 0.12. The attribute_6 is 0.33. The attribute_7 is 0.51. The attribute_8 is 0.58. The attribute_9 is 0.54. The attribute_10 is 0.38. The attribute_11 is 0.41. The attribute_12 is 0.28. The attribute_13 is 0.14. The attribute_14 is 0.23. The attribute_15 is 0.23. The attribute_16 is 0.43. The attribute_17 is 0.37. The attribute_18 is 0.66. The attribute_19 is 0.41. The attribute_20 is 0.33.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.49. The attribute_1 is 0.72. The attribute_2 is 1.0. The attribute_3 is 0.58. The attribute_4 is 0.91. The attribute_5 is 0.13. The attribute_6 is 0.75. The attribute_7 is 0.59. The attribute_8 is 0.57. The attribute_9 is 0.44. The attribute_10 is 0.42. The attribute_11 is 0.73. The attribute_12 is 0.91. The attribute_13 is 0.71. The attribute_14 is 0.96. The attribute_15 is 0.9. The attribute_16 is 0.98. The attribute_17 is 0.99. The attribute_18 is 0.34. The attribute_19 is 0.99. The attribute_20 is 0.34.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.56. The attribute_1 is 0.41. The attribute_2 is 0.29. The attribute_3 is 0.0. The attribute_4 is 0.89. The attribute_5 is 0.12. The attribute_6 is 0.39. The attribute_7 is 0.35. The attribute_8 is 0.32. The attribute_9 is 0.69. The attribute_10 is 0.68. The attribute_11 is 0.46. The attribute_12 is 0.88. The attribute_13 is 0.16. The attribute_14 is 0.8. The attribute_15 is 0.56. The attribute_16 is 0.66. The attribute_17 is 0.34. The attribute_18 is 0.35. The attribute_19 is 0.6. The attribute_20 is 0.49.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.63. The attribute_1 is 0.6. The attribute_2 is 0.65. The attribute_3 is 0.03. The attribute_4 is 0.04. The attribute_5 is 0.31. The attribute_6 is 0.6. The attribute_7 is 0.57. The attribute_8 is 0.97. The attribute_9 is 0.43. The attribute_10 is 0.17. The attribute_11 is 0.7. The attribute_12 is 0.18. The attribute_13 is 0.33. The attribute_14 is 0.1. The attribute_15 is 0.62. The attribute_16 is 0.09. The attribute_17 is 0.49. The attribute_18 is 0.58. The attribute_19 is 0.63. The attribute_20 is 0.26.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.28. The attribute_1 is 0.27. The attribute_2 is 0.34. The attribute_3 is 0.63. The attribute_4 is 0.17. The attribute_5 is 0.55. The attribute_6 is 0.01. The attribute_7 is 0.93. The attribute_8 is 0.28. The attribute_9 is 0.13. The attribute_10 is 0.11. The attribute_11 is 0.29. The attribute_12 is 0.07. The attribute_13 is 0.6. The attribute_14 is 0.04. The attribute_15 is 0.0. The attribute_16 is 0.15. The attribute_17 is 0.16. The attribute_18 is 0.85. The attribute_19 is 0.04. The attribute_20 is 0.11.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.22. The attribute_1 is 0.97. The attribute_2 is 0.88. The attribute_3 is 0.91. The attribute_4 is 0.82. The attribute_5 is 0.76. The attribute_6 is 0.11. The attribute_7 is 0.6. The attribute_8 is 0.66. The attribute_9 is 0.07. The attribute_10 is 0.17. The attribute_11 is 0.37. The attribute_12 is 0.64. The attribute_13 is 0.99. The attribute_14 is 0.39. The attribute_15 is 0.41. The attribute_16 is 0.68. The attribute_17 is 0.91. The attribute_18 is 0.43. The attribute_19 is 0.79. The attribute_20 is 0.12.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.78. The attribute_1 is 0.49. The attribute_2 is 0.31. The attribute_3 is 0.33. The attribute_4 is 0.31. The attribute_5 is 0.26. The attribute_6 is 0.34. The attribute_7 is 0.63. The attribute_8 is 0.27. The attribute_9 is 0.69. The attribute_10 is 0.35. The attribute_11 is 0.22. The attribute_12 is 0.34. The attribute_13 is 0.17. The attribute_14 is 0.26. The attribute_15 is 0.07. The attribute_16 is 0.08. The attribute_17 is 0.36. The attribute_18 is 0.6. The attribute_19 is 0.1. The attribute_20 is 0.38.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.0. The attribute_1 is 0.72. The attribute_2 is 0.92. The attribute_3 is 0.95. The attribute_4 is 0.77. The attribute_5 is 0.89. The attribute_6 is 0.99. The attribute_7 is 0.0. The attribute_8 is 0.87. The attribute_9 is 0.74. The attribute_10 is 0.57. The attribute_11 is 0.86. The attribute_12 is 0.12. The attribute_13 is 0.97. The attribute_14 is 0.02. The attribute_15 is 0.09. The attribute_16 is 0.56. The attribute_17 is 0.97. The attribute_18 is 0.01. The attribute_19 is 0.36. The attribute_20 is 0.35.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.61. The attribute_1 is 0.65. The attribute_2 is 0.2. The attribute_3 is 0.15. The attribute_4 is 0.24. The attribute_5 is 0.02. The attribute_6 is 0.51. The attribute_7 is 0.51. The attribute_8 is 0.33. The attribute_9 is 0.65. The attribute_10 is 0.8. The attribute_11 is 0.64. The attribute_12 is 0.85. The attribute_13 is 0.08. The attribute_14 is 0.94. The attribute_15 is 0.96. The attribute_16 is 0.2. The attribute_17 is 0.53. The attribute_18 is 0.52. The attribute_19 is 0.61. The attribute_20 is 0.73.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.93. The attribute_1 is 0.37. The attribute_2 is 0.86. The attribute_3 is 0.95. The attribute_4 is 0.91. The attribute_5 is 0.98. The attribute_6 is 0.24. The attribute_7 is 0.44. The attribute_8 is 0.05. The attribute_9 is 0.53. The attribute_10 is 0.16. The attribute_11 is 0.0. The attribute_12 is 0.39. The attribute_13 is 0.93. The attribute_14 is 0.51. The attribute_15 is 0.43. The attribute_16 is 0.9. The attribute_17 is 0.78. The attribute_18 is 0.56. The attribute_19 is 0.88. The attribute_20 is 0.49.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.68. The attribute_1 is 0.89. The attribute_2 is 0.71. The attribute_3 is 0.61. The attribute_4 is 0.58. The attribute_5 is 0.67. The attribute_6 is 0.68. The attribute_7 is 0.42. The attribute_8 is 0.55. The attribute_9 is 0.94. The attribute_10 is 1.0. The attribute_11 is 0.74. The attribute_12 is 0.54. The attribute_13 is 0.63. The attribute_14 is 0.44. The attribute_15 is 0.64. The attribute_16 is 0.68. The attribute_17 is 0.9. The attribute_18 is 0.44. The attribute_19 is 0.75. The attribute_20 is 0.86.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.51. The attribute_1 is 0.56. The attribute_2 is 0.3. The attribute_3 is 0.02. The attribute_4 is 0.5. The attribute_5 is 0.17. The attribute_6 is 0.23. The attribute_7 is 0.6. The attribute_8 is 0.19. The attribute_9 is 0.96. The attribute_10 is 0.97. The attribute_11 is 0.47. The attribute_12 is 0.87. The attribute_13 is 0.02. The attribute_14 is 0.92. The attribute_15 is 0.55. The attribute_16 is 0.61. The attribute_17 is 0.59. The attribute_18 is 0.26. The attribute_19 is 0.39. The attribute_20 is 0.94.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.55. The attribute_1 is 0.93. The attribute_2 is 0.82. The attribute_3 is 0.69. The attribute_4 is 0.86. The attribute_5 is 0.77. The attribute_6 is 0.84. The attribute_7 is 0.39. The attribute_8 is 0.84. The attribute_9 is 0.49. The attribute_10 is 0.37. The attribute_11 is 0.78. The attribute_12 is 0.13. The attribute_13 is 0.81. The attribute_14 is 0.21. The attribute_15 is 0.42. The attribute_16 is 0.77. The attribute_17 is 0.85. The attribute_18 is 0.45. The attribute_19 is 0.58. The attribute_20 is 0.41.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.22. The attribute_1 is 0.42. The attribute_2 is 0.82. The attribute_3 is 0.53. The attribute_4 is 0.94. The attribute_5 is 0.31. The attribute_6 is 0.82. The attribute_7 is 0.19. The attribute_8 is 0.86. The attribute_9 is 0.43. The attribute_10 is 0.78. The attribute_11 is 0.54. The attribute_12 is 0.65. The attribute_13 is 0.5. The attribute_14 is 0.61. The attribute_15 is 0.61. The attribute_16 is 0.86. The attribute_17 is 0.8. The attribute_18 is 0.46. The attribute_19 is 0.87. The attribute_20 is 0.73.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.44. The attribute_1 is 0.01. The attribute_2 is 0.67. The attribute_3 is 0.36. The attribute_4 is 0.5. The attribute_5 is 0.41. The attribute_6 is 0.42. The attribute_7 is 0.52. The attribute_8 is 0.69. The attribute_9 is 0.46. The attribute_10 is 0.83. The attribute_11 is 0.06. The attribute_12 is 0.89. The attribute_13 is 0.27. The attribute_14 is 0.84. The attribute_15 is 0.64. The attribute_16 is 0.47. The attribute_17 is 0.68. The attribute_18 is 0.98. The attribute_19 is 0.61. The attribute_20 is 0.41.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.48. The attribute_1 is 0.29. The attribute_2 is 0.66. The attribute_3 is 0.83. The attribute_4 is 0.66. The attribute_5 is 0.3. The attribute_6 is 0.15. The attribute_7 is 0.65. The attribute_8 is 0.56. The attribute_9 is 0.8. The attribute_10 is 0.95. The attribute_11 is 0.11. The attribute_12 is 0.62. The attribute_13 is 0.39. The attribute_14 is 0.47. The attribute_15 is 0.49. The attribute_16 is 0.28. The attribute_17 is 0.28. The attribute_18 is 0.82. The attribute_19 is 0.15. The attribute_20 is 0.71.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.77. The attribute_1 is 0.58. The attribute_2 is 0.36. The attribute_3 is 0.17. The attribute_4 is 0.42. The attribute_5 is 0.55. The attribute_6 is 0.29. The attribute_7 is 0.8. The attribute_8 is 0.25. The attribute_9 is 0.54. The attribute_10 is 0.33. The attribute_11 is 0.38. The attribute_12 is 0.44. The attribute_13 is 0.45. The attribute_14 is 0.46. The attribute_15 is 0.64. The attribute_16 is 0.78. The attribute_17 is 0.31. The attribute_18 is 0.66. The attribute_19 is 0.79. The attribute_20 is 0.58.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.95. The attribute_1 is 0.02. The attribute_2 is 0.02. The attribute_3 is 0.98. The attribute_4 is 0.44. The attribute_5 is 0.95. The attribute_6 is 0.18. The attribute_7 is 0.57. The attribute_8 is 0.02. The attribute_9 is 0.01. The attribute_10 is 0.05. The attribute_11 is 0.05. The attribute_12 is 0.03. The attribute_13 is 0.48. The attribute_14 is 0.1. The attribute_15 is 0.02. The attribute_16 is 0.97. The attribute_17 is 0.2. The attribute_18 is 0.89. The attribute_19 is 0.99. The attribute_20 is 0.12.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.09. The attribute_1 is 0.92. The attribute_2 is 0.55. The attribute_3 is 0.63. The attribute_4 is 0.64. The attribute_5 is 0.95. The attribute_6 is 1.0. The attribute_7 is 0.14. The attribute_8 is 0.95. The attribute_9 is 0.24. The attribute_10 is 0.42. The attribute_11 is 0.89. The attribute_12 is 0.03. The attribute_13 is 0.55. The attribute_14 is 0.4. The attribute_15 is 0.18. The attribute_16 is 0.77. The attribute_17 is 0.66. The attribute_18 is 0.13. The attribute_19 is 0.62. The attribute_20 is 0.51.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.72. The attribute_1 is 0.35. The attribute_2 is 0.36. The attribute_3 is 0.08. The attribute_4 is 0.48. The attribute_5 is 0.0. The attribute_6 is 0.14. The attribute_7 is 0.85. The attribute_8 is 0.32. The attribute_9 is 0.37. The attribute_10 is 0.61. The attribute_11 is 0.23. The attribute_12 is 0.75. The attribute_13 is 0.09. The attribute_14 is 0.76. The attribute_15 is 0.58. The attribute_16 is 0.63. The attribute_17 is 0.28. The attribute_18 is 0.98. The attribute_19 is 0.59. The attribute_20 is 0.62.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.69. The attribute_1 is 0.9. The attribute_2 is 0.75. The attribute_3 is 0.61. The attribute_4 is 0.96. The attribute_5 is 0.57. The attribute_6 is 0.52. The attribute_7 is 0.75. The attribute_8 is 0.59. The attribute_9 is 0.78. The attribute_10 is 0.86. The attribute_11 is 0.55. The attribute_12 is 0.55. The attribute_13 is 0.54. The attribute_14 is 0.23. The attribute_15 is 0.16. The attribute_16 is 0.71. The attribute_17 is 0.69. The attribute_18 is 0.77. The attribute_19 is 0.45. The attribute_20 is 0.85.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.15. The attribute_1 is 0.41. The attribute_2 is 0.33. The attribute_3 is 0.84. The attribute_4 is 0.87. The attribute_5 is 0.73. The attribute_6 is 0.76. The attribute_7 is 0.17. The attribute_8 is 0.64. The attribute_9 is 0.67. The attribute_10 is 0.72. The attribute_11 is 0.59. The attribute_12 is 0.41. The attribute_13 is 0.73. The attribute_14 is 0.6. The attribute_15 is 0.73. The attribute_16 is 0.83. The attribute_17 is 0.39. The attribute_18 is 0.14. The attribute_19 is 0.93. The attribute_20 is 0.58.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.48. The attribute_1 is 0.48. The attribute_2 is 0.19. The attribute_3 is 0.01. The attribute_4 is 0.91. The attribute_5 is 0.28. The attribute_6 is 0.27. The attribute_7 is 0.61. The attribute_8 is 0.29. The attribute_9 is 0.18. The attribute_10 is 0.19. The attribute_11 is 0.55. The attribute_12 is 0.88. The attribute_13 is 0.1. The attribute_14 is 0.99. The attribute_15 is 1.0. The attribute_16 is 0.94. The attribute_17 is 0.15. The attribute_18 is 0.1. The attribute_19 is 0.97. The attribute_20 is 0.14.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.65. The attribute_1 is 0.75. The attribute_2 is 0.69. The attribute_3 is 0.3. The attribute_4 is 0.71. The attribute_5 is 0.25. The attribute_6 is 0.84. The attribute_7 is 0.73. The attribute_8 is 0.72. The attribute_9 is 0.75. The attribute_10 is 0.81. The attribute_11 is 0.75. The attribute_12 is 0.93. The attribute_13 is 0.19. The attribute_14 is 0.8. The attribute_15 is 0.66. The attribute_16 is 0.81. The attribute_17 is 0.97. The attribute_18 is 0.58. The attribute_19 is 0.83. The attribute_20 is 0.77.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.79. The attribute_1 is 0.03. The attribute_2 is 0.18. The attribute_3 is 0.12. The attribute_4 is 0.48. The attribute_5 is 0.12. The attribute_6 is 0.32. The attribute_7 is 0.81. The attribute_8 is 0.23. The attribute_9 is 0.55. The attribute_10 is 0.54. The attribute_11 is 0.0. The attribute_12 is 0.34. The attribute_13 is 0.3. The attribute_14 is 0.53. The attribute_15 is 0.62. The attribute_16 is 0.28. The attribute_17 is 0.22. The attribute_18 is 0.95. The attribute_19 is 0.54. The attribute_20 is 0.44.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.33. The attribute_1 is 0.42. The attribute_2 is 0.59. The attribute_3 is 0.71. The attribute_4 is 0.24. The attribute_5 is 0.72. The attribute_6 is 0.36. The attribute_7 is 0.47. The attribute_8 is 0.48. The attribute_9 is 0.85. The attribute_10 is 0.83. The attribute_11 is 0.15. The attribute_12 is 0.66. The attribute_13 is 0.77. The attribute_14 is 0.6. The attribute_15 is 0.66. The attribute_16 is 0.3. The attribute_17 is 0.73. The attribute_18 is 0.5. The attribute_19 is 0.22. The attribute_20 is 0.7.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.64. The attribute_1 is 0.62. The attribute_2 is 0.71. The attribute_3 is 0.25. The attribute_4 is 0.68. The attribute_5 is 0.37. The attribute_6 is 0.74. The attribute_7 is 0.34. The attribute_8 is 0.69. The attribute_9 is 0.43. The attribute_10 is 0.22. The attribute_11 is 0.89. The attribute_12 is 0.1. The attribute_13 is 0.47. The attribute_14 is 0.41. The attribute_15 is 0.59. The attribute_16 is 0.35. The attribute_17 is 0.62. The attribute_18 is 0.45. The attribute_19 is 0.53. The attribute_20 is 0.09.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.14. The attribute_1 is 0.98. The attribute_2 is 0.82. The attribute_3 is 0.47. The attribute_4 is 0.85. The attribute_5 is 0.41. The attribute_6 is 0.48. The attribute_7 is 0.49. The attribute_8 is 0.52. The attribute_9 is 0.25. The attribute_10 is 0.38. The attribute_11 is 0.84. The attribute_12 is 0.02. The attribute_13 is 0.37. The attribute_14 is 0.07. The attribute_15 is 0.13. The attribute_16 is 0.69. The attribute_17 is 0.96. The attribute_18 is 0.02. The attribute_19 is 0.56. The attribute_20 is 0.71.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.33. The attribute_1 is 0.37. The attribute_2 is 0.76. The attribute_3 is 0.19. The attribute_4 is 0.6. The attribute_5 is 0.36. The attribute_6 is 0.39. The attribute_7 is 0.63. The attribute_8 is 0.75. The attribute_9 is 0.85. The attribute_10 is 0.87. The attribute_11 is 0.43. The attribute_12 is 0.08. The attribute_13 is 0.18. The attribute_14 is 0.07. The attribute_15 is 0.2. The attribute_16 is 0.54. The attribute_17 is 0.61. The attribute_18 is 0.55. The attribute_19 is 0.63. The attribute_20 is 0.75.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.53. The attribute_1 is 0.37. The attribute_2 is 0.66. The attribute_3 is 0.21. The attribute_4 is 0.76. The attribute_5 is 0.37. The attribute_6 is 0.61. The attribute_7 is 0.94. The attribute_8 is 0.85. The attribute_9 is 0.88. The attribute_10 is 0.77. The attribute_11 is 0.43. The attribute_12 is 0.65. The attribute_13 is 0.42. The attribute_14 is 0.52. The attribute_15 is 0.54. The attribute_16 is 0.77. The attribute_17 is 0.53. The attribute_18 is 0.89. The attribute_19 is 0.93. The attribute_20 is 0.35.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.6. The attribute_1 is 0.41. The attribute_2 is 0.18. The attribute_3 is 0.12. The attribute_4 is 0.61. The attribute_5 is 0.02. The attribute_6 is 0.36. The attribute_7 is 0.45. The attribute_8 is 0.29. The attribute_9 is 0.44. The attribute_10 is 0.39. The attribute_11 is 0.43. The attribute_12 is 0.69. The attribute_13 is 0.19. The attribute_14 is 0.77. The attribute_15 is 0.32. The attribute_16 is 0.72. The attribute_17 is 0.34. The attribute_18 is 0.48. The attribute_19 is 0.47. The attribute_20 is 0.51.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.18. The attribute_1 is 0.01. The attribute_2 is 0.33. The attribute_3 is 0.48. The attribute_4 is 0.18. The attribute_5 is 0.41. The attribute_6 is 0.36. The attribute_7 is 0.4. The attribute_8 is 0.45. The attribute_9 is 0.2. The attribute_10 is 0.08. The attribute_11 is 0.28. The attribute_12 is 0.62. The attribute_13 is 0.45. The attribute_14 is 0.59. The attribute_15 is 0.22. The attribute_16 is 0.06. The attribute_17 is 0.12. The attribute_18 is 0.45. The attribute_19 is 0.04. The attribute_20 is 0.11.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.4. The attribute_1 is 0.49. The attribute_2 is 0.42. The attribute_3 is 0.92. The attribute_4 is 0.4. The attribute_5 is 0.91. The attribute_6 is 0.78. The attribute_7 is 0.24. The attribute_8 is 0.64. The attribute_9 is 0.92. The attribute_10 is 0.63. The attribute_11 is 0.79. The attribute_12 is 0.6. The attribute_13 is 0.85. The attribute_14 is 0.42. The attribute_15 is 0.42. The attribute_16 is 0.58. The attribute_17 is 0.58. The attribute_18 is 0.75. The attribute_19 is 0.26. The attribute_20 is 0.36.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.05. The attribute_1 is 0.95. The attribute_2 is 1.0. The attribute_3 is 0.94. The attribute_4 is 0.04. The attribute_5 is 0.94. The attribute_6 is 0.97. The attribute_7 is 0.0. The attribute_8 is 0.96. The attribute_9 is 0.04. The attribute_10 is 0.04. The attribute_11 is 0.86. The attribute_12 is 0.32. The attribute_13 is 0.97. The attribute_14 is 0.3. The attribute_15 is 0.12. The attribute_16 is 0.02. The attribute_17 is 0.98. The attribute_18 is 0.07. The attribute_19 is 0.11. The attribute_20 is 0.14.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.42. The attribute_1 is 0.88. The attribute_2 is 0.72. The attribute_3 is 0.94. The attribute_4 is 0.96. The attribute_5 is 0.93. The attribute_6 is 0.77. The attribute_7 is 0.42. The attribute_8 is 0.52. The attribute_9 is 0.65. The attribute_10 is 0.86. The attribute_11 is 0.8. The attribute_12 is 0.01. The attribute_13 is 0.9. The attribute_14 is 0.0. The attribute_15 is 0.15. The attribute_16 is 0.97. The attribute_17 is 0.99. The attribute_18 is 0.5. The attribute_19 is 0.78. The attribute_20 is 0.72.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.89. The attribute_1 is 0.98. The attribute_2 is 0.37. The attribute_3 is 0.95. The attribute_4 is 0.94. The attribute_5 is 0.47. The attribute_6 is 0.18. The attribute_7 is 0.95. The attribute_8 is 0.0. The attribute_9 is 0.94. The attribute_10 is 0.8. The attribute_11 is 0.34. The attribute_12 is 0.43. The attribute_13 is 0.9. The attribute_14 is 0.12. The attribute_15 is 0.23. The attribute_16 is 0.9. The attribute_17 is 0.29. The attribute_18 is 0.72. The attribute_19 is 0.87. The attribute_20 is 0.82.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.49. The attribute_1 is 0.6. The attribute_2 is 0.88. The attribute_3 is 0.88. The attribute_4 is 0.27. The attribute_5 is 0.56. The attribute_6 is 0.51. The attribute_7 is 0.36. The attribute_8 is 0.53. The attribute_9 is 0.62. The attribute_10 is 0.4. The attribute_11 is 0.5. The attribute_12 is 0.1. The attribute_13 is 0.91. The attribute_14 is 0.65. The attribute_15 is 0.46. The attribute_16 is 0.55. The attribute_17 is 0.9. The attribute_18 is 0.79. The attribute_19 is 0.35. The attribute_20 is 0.43.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.58. The attribute_1 is 0.22. The attribute_2 is 0.26. The attribute_3 is 0.19. The attribute_4 is 0.77. The attribute_5 is 0.01. The attribute_6 is 0.28. The attribute_7 is 0.8. The attribute_8 is 0.37. The attribute_9 is 0.33. The attribute_10 is 0.41. The attribute_11 is 0.06. The attribute_12 is 0.9. The attribute_13 is 0.18. The attribute_14 is 0.85. The attribute_15 is 0.76. The attribute_16 is 0.78. The attribute_17 is 0.36. The attribute_18 is 0.98. The attribute_19 is 0.59. The attribute_20 is 0.33.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.9. The attribute_1 is 0.23. The attribute_2 is 0.02. The attribute_3 is 0.46. The attribute_4 is 0.22. The attribute_5 is 0.23. The attribute_6 is 0.12. The attribute_7 is 0.63. The attribute_8 is 0.07. The attribute_9 is 0.03. The attribute_10 is 0.04. The attribute_11 is 0.14. The attribute_12 is 0.7. The attribute_13 is 0.59. The attribute_14 is 0.52. The attribute_15 is 0.57. The attribute_16 is 0.12. The attribute_17 is 0.12. The attribute_18 is 0.64. The attribute_19 is 0.34. The attribute_20 is 0.06.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.71. The attribute_1 is 0.46. The attribute_2 is 0.94. The attribute_3 is 0.09. The attribute_4 is 0.73. The attribute_5 is 0.06. The attribute_6 is 0.86. The attribute_7 is 0.87. The attribute_8 is 0.93. The attribute_9 is 0.34. The attribute_10 is 0.71. The attribute_11 is 0.57. The attribute_12 is 0.81. The attribute_13 is 0.09. The attribute_14 is 0.76. The attribute_15 is 0.74. The attribute_16 is 0.65. The attribute_17 is 0.84. The attribute_18 is 0.76. The attribute_19 is 0.81. The attribute_20 is 0.83.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.9. The attribute_1 is 0.14. The attribute_2 is 0.13. The attribute_3 is 0.21. The attribute_4 is 0.15. The attribute_5 is 0.41. The attribute_6 is 0.16. The attribute_7 is 0.58. The attribute_8 is 0.13. The attribute_9 is 0.32. The attribute_10 is 0.12. The attribute_11 is 0.15. The attribute_12 is 0.3. The attribute_13 is 0.37. The attribute_14 is 0.41. The attribute_15 is 0.55. The attribute_16 is 0.23. The attribute_17 is 0.29. The attribute_18 is 0.54. The attribute_19 is 0.31. The attribute_20 is 0.07.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.05. The attribute_1 is 0.9. The attribute_2 is 0.93. The attribute_3 is 0.18. The attribute_4 is 0.68. The attribute_5 is 0.07. The attribute_6 is 0.99. The attribute_7 is 0.0. The attribute_8 is 0.96. The attribute_9 is 0.46. The attribute_10 is 0.35. The attribute_11 is 0.99. The attribute_12 is 0.92. The attribute_13 is 0.44. The attribute_14 is 0.96. The attribute_15 is 0.96. The attribute_16 is 0.78. The attribute_17 is 0.92. The attribute_18 is 0.13. The attribute_19 is 0.84. The attribute_20 is 0.48.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.71. The attribute_1 is 0.67. The attribute_2 is 0.43. The attribute_3 is 0.29. The attribute_4 is 0.27. The attribute_5 is 0.82. The attribute_6 is 0.72. The attribute_7 is 0.58. The attribute_8 is 0.56. The attribute_9 is 0.4. The attribute_10 is 0.3. The attribute_11 is 0.81. The attribute_12 is 0.52. The attribute_13 is 0.55. The attribute_14 is 0.53. The attribute_15 is 0.66. The attribute_16 is 0.28. The attribute_17 is 0.37. The attribute_18 is 0.64. The attribute_19 is 0.45. The attribute_20 is 0.51.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.46. The attribute_1 is 0.75. The attribute_2 is 0.77. The attribute_3 is 0.17. The attribute_4 is 0.78. The attribute_5 is 0.62. The attribute_6 is 0.76. The attribute_7 is 0.25. The attribute_8 is 0.59. The attribute_9 is 0.47. The attribute_10 is 0.39. The attribute_11 is 0.75. The attribute_12 is 0.55. The attribute_13 is 0.35. The attribute_14 is 0.73. The attribute_15 is 0.72. The attribute_16 is 0.89. The attribute_17 is 0.77. The attribute_18 is 0.06. The attribute_19 is 0.83. The attribute_20 is 0.49.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.48. The attribute_1 is 0.82. The attribute_2 is 0.95. The attribute_3 is 0.97. The attribute_4 is 0.5. The attribute_5 is 0.34. The attribute_6 is 0.76. The attribute_7 is 0.21. The attribute_8 is 0.26. The attribute_9 is 0.86. The attribute_10 is 0.73. The attribute_11 is 0.9. The attribute_12 is 0.47. The attribute_13 is 0.97. The attribute_14 is 0.03. The attribute_15 is 0.05. The attribute_16 is 0.3. The attribute_17 is 0.94. The attribute_18 is 0.08. The attribute_19 is 0.24. The attribute_20 is 0.71.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.44. The attribute_1 is 0.19. The attribute_2 is 0.46. The attribute_3 is 0.89. The attribute_4 is 0.64. The attribute_5 is 0.34. The attribute_6 is 0.38. The attribute_7 is 0.51. The attribute_8 is 0.28. The attribute_9 is 0.32. The attribute_10 is 0.21. The attribute_11 is 0.76. The attribute_12 is 0.6. The attribute_13 is 0.94. The attribute_14 is 0.43. The attribute_15 is 0.41. The attribute_16 is 0.41. The attribute_17 is 0.57. The attribute_18 is 0.22. The attribute_19 is 0.3. The attribute_20 is 0.31.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.99. The attribute_1 is 0.16. The attribute_2 is 0.0. The attribute_3 is 0.75. The attribute_4 is 0.66. The attribute_5 is 0.68. The attribute_6 is 0.07. The attribute_7 is 0.93. The attribute_8 is 0.04. The attribute_9 is 0.08. The attribute_10 is 0.35. The attribute_11 is 0.08. The attribute_12 is 0.67. The attribute_13 is 0.62. The attribute_14 is 0.58. The attribute_15 is 0.48. The attribute_16 is 0.39. The attribute_17 is 0.11. The attribute_18 is 0.9. The attribute_19 is 0.28. The attribute_20 is 0.82.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.16. The attribute_1 is 0.88. The attribute_2 is 0.89. The attribute_3 is 0.68. The attribute_4 is 0.6. The attribute_5 is 0.68. The attribute_6 is 0.6. The attribute_7 is 0.08. The attribute_8 is 0.52. The attribute_9 is 0.03. The attribute_10 is 0.03. The attribute_11 is 0.81. The attribute_12 is 0.63. The attribute_13 is 0.8. The attribute_14 is 0.32. The attribute_15 is 0.32. The attribute_16 is 0.38. The attribute_17 is 0.97. The attribute_18 is 0.01. The attribute_19 is 0.48. The attribute_20 is 0.12.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.79. The attribute_1 is 0.74. The attribute_2 is 0.57. The attribute_3 is 0.04. The attribute_4 is 0.58. The attribute_5 is 0.04. The attribute_6 is 0.21. The attribute_7 is 0.68. The attribute_8 is 0.73. The attribute_9 is 0.2. The attribute_10 is 0.14. The attribute_11 is 0.36. The attribute_12 is 0.36. The attribute_13 is 0.1. The attribute_14 is 0.61. The attribute_15 is 0.48. The attribute_16 is 0.8. The attribute_17 is 0.14. The attribute_18 is 0.57. The attribute_19 is 0.55. The attribute_20 is 0.76.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.86. The attribute_1 is 0.02. The attribute_2 is 0.02. The attribute_3 is 0.44. The attribute_4 is 0.0. The attribute_5 is 0.34. The attribute_6 is 0.08. The attribute_7 is 0.83. The attribute_8 is 0.04. The attribute_9 is 0.05. The attribute_10 is 0.0. The attribute_11 is 0.03. The attribute_12 is 0.56. The attribute_13 is 0.58. The attribute_14 is 0.49. The attribute_15 is 0.46. The attribute_16 is 0.01. The attribute_17 is 0.15. The attribute_18 is 0.93. The attribute_19 is 0.02. The attribute_20 is 0.02.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.53. The attribute_1 is 0.88. The attribute_2 is 0.46. The attribute_3 is 0.33. The attribute_4 is 0.77. The attribute_5 is 0.34. The attribute_6 is 0.51. The attribute_7 is 0.62. The attribute_8 is 0.38. The attribute_9 is 0.11. The attribute_10 is 0.17. The attribute_11 is 0.79. The attribute_12 is 0.85. The attribute_13 is 0.25. The attribute_14 is 0.82. The attribute_15 is 0.86. The attribute_16 is 0.75. The attribute_17 is 0.96. The attribute_18 is 0.22. The attribute_19 is 0.65. The attribute_20 is 0.47.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.39. The attribute_1 is 0.39. The attribute_2 is 0.73. The attribute_3 is 0.32. The attribute_4 is 0.53. The attribute_5 is 0.41. The attribute_6 is 0.46. The attribute_7 is 0.3. The attribute_8 is 0.69. The attribute_9 is 0.99. The attribute_10 is 0.76. The attribute_11 is 0.37. The attribute_12 is 0.26. The attribute_13 is 0.57. The attribute_14 is 0.28. The attribute_15 is 0.32. The attribute_16 is 0.61. The attribute_17 is 0.61. The attribute_18 is 0.19. The attribute_19 is 0.4. The attribute_20 is 0.73.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.36. The attribute_1 is 0.34. The attribute_2 is 0.32. The attribute_3 is 0.23. The attribute_4 is 0.48. The attribute_5 is 0.06. The attribute_6 is 0.1. The attribute_7 is 0.74. The attribute_8 is 0.43. The attribute_9 is 0.59. The attribute_10 is 0.39. The attribute_11 is 0.04. The attribute_12 is 0.92. The attribute_13 is 0.2. The attribute_14 is 0.46. The attribute_15 is 0.41. The attribute_16 is 0.46. The attribute_17 is 0.18. The attribute_18 is 0.97. The attribute_19 is 0.59. The attribute_20 is 0.8.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.87. The attribute_1 is 0.08. The attribute_2 is 0.07. The attribute_3 is 0.17. The attribute_4 is 0.44. The attribute_5 is 0.25. The attribute_6 is 0.02. The attribute_7 is 0.99. The attribute_8 is 0.53. The attribute_9 is 0.9. The attribute_10 is 0.41. The attribute_11 is 0.1. The attribute_12 is 0.56. The attribute_13 is 0.15. The attribute_14 is 0.86. The attribute_15 is 0.69. The attribute_16 is 0.56. The attribute_17 is 0.02. The attribute_18 is 0.98. The attribute_19 is 0.07. The attribute_20 is 0.43.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.55. The attribute_1 is 0.08. The attribute_2 is 0.07. The attribute_3 is 0.06. The attribute_4 is 0.98. The attribute_5 is 0.01. The attribute_6 is 0.33. The attribute_7 is 0.44. The attribute_8 is 0.25. The attribute_9 is 0.54. The attribute_10 is 0.52. The attribute_11 is 0.5. The attribute_12 is 0.97. The attribute_13 is 0.05. The attribute_14 is 0.8. The attribute_15 is 0.88. The attribute_16 is 0.9. The attribute_17 is 0.22. The attribute_18 is 0.62. The attribute_19 is 0.85. The attribute_20 is 0.5.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.86. The attribute_1 is 0.82. The attribute_2 is 0.36. The attribute_3 is 0.18. The attribute_4 is 0.41. The attribute_5 is 0.93. The attribute_6 is 0.24. The attribute_7 is 0.96. The attribute_8 is 0.18. The attribute_9 is 0.56. The attribute_10 is 0.74. The attribute_11 is 0.83. The attribute_12 is 0.78. The attribute_13 is 0.12. The attribute_14 is 0.75. The attribute_15 is 0.83. The attribute_16 is 0.53. The attribute_17 is 0.43. The attribute_18 is 0.69. The attribute_19 is 0.43. The attribute_20 is 0.34.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.87. The attribute_1 is 0.84. The attribute_2 is 0.66. The attribute_3 is 0.18. The attribute_4 is 0.85. The attribute_5 is 0.65. The attribute_6 is 0.25. The attribute_7 is 0.62. The attribute_8 is 0.04. The attribute_9 is 0.37. The attribute_10 is 0.35. The attribute_11 is 0.09. The attribute_12 is 0.87. The attribute_13 is 0.18. The attribute_14 is 0.9. The attribute_15 is 0.94. The attribute_16 is 0.66. The attribute_17 is 0.64. The attribute_18 is 0.55. The attribute_19 is 0.65. The attribute_20 is 0.42.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.62. The attribute_1 is 0.04. The attribute_2 is 0.2. The attribute_3 is 0.06. The attribute_4 is 0.11. The attribute_5 is 0.23. The attribute_6 is 0.32. The attribute_7 is 0.89. The attribute_8 is 0.46. The attribute_9 is 0.48. The attribute_10 is 0.81. The attribute_11 is 0.31. The attribute_12 is 0.18. The attribute_13 is 0.05. The attribute_14 is 0.12. The attribute_15 is 0.14. The attribute_16 is 0.04. The attribute_17 is 0.16. The attribute_18 is 0.7. The attribute_19 is 0.13. The attribute_20 is 0.41.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.82. The attribute_1 is 0.96. The attribute_2 is 0.97. The attribute_3 is 0.9. The attribute_4 is 0.01. The attribute_5 is 0.39. The attribute_6 is 0.6. The attribute_7 is 0.35. The attribute_8 is 0.09. The attribute_9 is 0.83. The attribute_10 is 0.51. The attribute_11 is 0.51. The attribute_12 is 0.11. The attribute_13 is 0.82. The attribute_14 is 0.04. The attribute_15 is 0.03. The attribute_16 is 0.03. The attribute_17 is 1.0. The attribute_18 is 0.13. The attribute_19 is 0.03. The attribute_20 is 0.79.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.43. The attribute_1 is 0.23. The attribute_2 is 0.66. The attribute_3 is 0.35. The attribute_4 is 0.44. The attribute_5 is 0.46. The attribute_6 is 0.28. The attribute_7 is 0.74. The attribute_8 is 0.41. The attribute_9 is 0.95. The attribute_10 is 0.94. The attribute_11 is 0.2. The attribute_12 is 0.62. The attribute_13 is 0.44. The attribute_14 is 0.43. The attribute_15 is 0.27. The attribute_16 is 0.32. The attribute_17 is 0.31. The attribute_18 is 0.79. The attribute_19 is 0.36. The attribute_20 is 0.79.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.83. The attribute_1 is 0.96. The attribute_2 is 1.0. The attribute_3 is 0.27. The attribute_4 is 0.3. The attribute_5 is 0.06. The attribute_6 is 0.11. The attribute_7 is 0.52. The attribute_8 is 0.02. The attribute_9 is 0.76. The attribute_10 is 0.82. The attribute_11 is 0.01. The attribute_12 is 0.04. The attribute_13 is 0.33. The attribute_14 is 0.08. The attribute_15 is 0.23. The attribute_16 is 0.37. The attribute_17 is 0.71. The attribute_18 is 0.04. The attribute_19 is 0.56. The attribute_20 is 0.9.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.86. The attribute_1 is 0.3. The attribute_2 is 0.29. The attribute_3 is 0.01. The attribute_4 is 0.87. The attribute_5 is 0.04. The attribute_6 is 0.3. The attribute_7 is 0.86. The attribute_8 is 0.13. The attribute_9 is 0.73. The attribute_10 is 0.19. The attribute_11 is 0.03. The attribute_12 is 0.89. The attribute_13 is 0.02. The attribute_14 is 0.94. The attribute_15 is 0.88. The attribute_16 is 0.85. The attribute_17 is 0.15. The attribute_18 is 0.96. The attribute_19 is 0.86. The attribute_20 is 0.18.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.18. The attribute_1 is 0.41. The attribute_2 is 0.65. The attribute_3 is 0.92. The attribute_4 is 0.07. The attribute_5 is 0.71. The attribute_6 is 0.85. The attribute_7 is 0.27. The attribute_8 is 0.9. The attribute_9 is 0.65. The attribute_10 is 0.33. The attribute_11 is 0.81. The attribute_12 is 0.18. The attribute_13 is 0.78. The attribute_14 is 0.1. The attribute_15 is 0.18. The attribute_16 is 0.1. The attribute_17 is 0.61. The attribute_18 is 0.1. The attribute_19 is 0.07. The attribute_20 is 0.31.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.49. The attribute_1 is 0.63. The attribute_2 is 0.76. The attribute_3 is 0.19. The attribute_4 is 0.35. The attribute_5 is 0.47. The attribute_6 is 0.72. The attribute_7 is 0.52. The attribute_8 is 0.76. The attribute_9 is 1.0. The attribute_10 is 1.0. The attribute_11 is 0.81. The attribute_12 is 0.24. The attribute_13 is 0.33. The attribute_14 is 0.14. The attribute_15 is 0.22. The attribute_16 is 0.42. The attribute_17 is 0.62. The attribute_18 is 0.52. The attribute_19 is 0.45. The attribute_20 is 0.92.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 1.0. The attribute_1 is 0.13. The attribute_2 is 0.15. The attribute_3 is 0.26. The attribute_4 is 0.74. The attribute_5 is 0.0. The attribute_6 is 0.13. The attribute_7 is 0.9. The attribute_8 is 0.2. The attribute_9 is 0.33. The attribute_10 is 0.07. The attribute_11 is 0.29. The attribute_12 is 0.93. The attribute_13 is 0.03. The attribute_14 is 0.98. The attribute_15 is 0.9. The attribute_16 is 0.65. The attribute_17 is 0.0. The attribute_18 is 0.86. The attribute_19 is 0.59. The attribute_20 is 0.32.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.23. The attribute_1 is 0.74. The attribute_2 is 0.86. The attribute_3 is 0.77. The attribute_4 is 0.41. The attribute_5 is 0.99. The attribute_6 is 0.98. The attribute_7 is 0.03. The attribute_8 is 0.94. The attribute_9 is 0.45. The attribute_10 is 0.3. The attribute_11 is 0.92. The attribute_12 is 0.15. The attribute_13 is 0.77. The attribute_14 is 0.46. The attribute_15 is 0.47. The attribute_16 is 0.65. The attribute_17 is 0.87. The attribute_18 is 0.1. The attribute_19 is 0.81. The attribute_20 is 0.22.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.8. The attribute_1 is 0.12. The attribute_2 is 0.23. The attribute_3 is 0.08. The attribute_4 is 0.53. The attribute_5 is 0.19. The attribute_6 is 0.07. The attribute_7 is 0.99. The attribute_8 is 0.74. The attribute_9 is 0.98. The attribute_10 is 0.44. The attribute_11 is 0.02. The attribute_12 is 0.79. The attribute_13 is 0.05. The attribute_14 is 0.87. The attribute_15 is 0.48. The attribute_16 is 0.69. The attribute_17 is 0.02. The attribute_18 is 0.9. The attribute_19 is 0.44. The attribute_20 is 0.51.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.95. The attribute_1 is 0.79. The attribute_2 is 0.8. The attribute_3 is 0.05. The attribute_4 is 0.16. The attribute_5 is 0.42. The attribute_6 is 0.63. The attribute_7 is 0.49. The attribute_8 is 0.02. The attribute_9 is 0.52. The attribute_10 is 0.26. The attribute_11 is 0.42. The attribute_12 is 0.8. The attribute_13 is 0.09. The attribute_14 is 0.89. The attribute_15 is 0.92. The attribute_16 is 0.4. The attribute_17 is 0.71. The attribute_18 is 0.65. The attribute_19 is 0.65. The attribute_20 is 0.32.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.31. The attribute_1 is 0.27. The attribute_2 is 0.39. The attribute_3 is 0.4. The attribute_4 is 0.99. The attribute_5 is 0.7. The attribute_6 is 0.78. The attribute_7 is 0.24. The attribute_8 is 1.0. The attribute_9 is 0.64. The attribute_10 is 0.12. The attribute_11 is 0.74. The attribute_12 is 0.76. The attribute_13 is 0.67. The attribute_14 is 0.85. The attribute_15 is 0.68. The attribute_16 is 0.98. The attribute_17 is 0.13. The attribute_18 is 0.14. The attribute_19 is 1.0. The attribute_20 is 0.04.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.14. The attribute_1 is 0.2. The attribute_2 is 0.29. The attribute_3 is 0.56. The attribute_4 is 0.29. The attribute_5 is 0.5. The attribute_6 is 0.13. The attribute_7 is 0.19. The attribute_8 is 0.38. The attribute_9 is 0.43. The attribute_10 is 0.2. The attribute_11 is 0.42. The attribute_12 is 0.82. The attribute_13 is 0.44. The attribute_14 is 0.77. The attribute_15 is 0.61. The attribute_16 is 0.26. The attribute_17 is 0.28. The attribute_18 is 0.6. The attribute_19 is 0.21. The attribute_20 is 0.23.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.09. The attribute_1 is 0.15. The attribute_2 is 0.14. The attribute_3 is 0.94. The attribute_4 is 0.91. The attribute_5 is 0.78. The attribute_6 is 0.34. The attribute_7 is 0.28. The attribute_8 is 0.35. The attribute_9 is 0.2. The attribute_10 is 0.24. The attribute_11 is 0.24. The attribute_12 is 0.96. The attribute_13 is 0.83. The attribute_14 is 0.83. The attribute_15 is 0.81. The attribute_16 is 0.98. The attribute_17 is 0.13. The attribute_18 is 0.54. The attribute_19 is 1.0. The attribute_20 is 0.09.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.83. The attribute_1 is 0.81. The attribute_2 is 0.2. The attribute_3 is 0.05. The attribute_4 is 0.17. The attribute_5 is 0.0. The attribute_6 is 0.55. The attribute_7 is 0.53. The attribute_8 is 0.58. The attribute_9 is 0.12. The attribute_10 is 0.11. The attribute_11 is 0.34. The attribute_12 is 0.44. The attribute_13 is 0.11. The attribute_14 is 0.08. The attribute_15 is 0.38. The attribute_16 is 0.3. The attribute_17 is 0.17. The attribute_18 is 0.82. The attribute_19 is 0.38. The attribute_20 is 0.59.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.53. The attribute_1 is 0.02. The attribute_2 is 0.41. The attribute_3 is 0.35. The attribute_4 is 0.93. The attribute_5 is 0.28. The attribute_6 is 0.96. The attribute_7 is 0.29. The attribute_8 is 0.99. The attribute_9 is 0.11. The attribute_10 is 0.32. The attribute_11 is 0.99. The attribute_12 is 0.26. The attribute_13 is 0.72. The attribute_14 is 0.14. The attribute_15 is 0.07. The attribute_16 is 0.5. The attribute_17 is 0.64. The attribute_18 is 0.12. The attribute_19 is 0.13. The attribute_20 is 0.15.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.17. The attribute_1 is 0.77. The attribute_2 is 0.71. The attribute_3 is 0.86. The attribute_4 is 0.74. The attribute_5 is 0.85. The attribute_6 is 0.9. The attribute_7 is 0.34. The attribute_8 is 0.89. The attribute_9 is 0.68. The attribute_10 is 0.72. The attribute_11 is 0.94. The attribute_12 is 0.43. The attribute_13 is 0.92. The attribute_14 is 0.38. The attribute_15 is 0.32. The attribute_16 is 0.96. The attribute_17 is 0.7. The attribute_18 is 0.4. The attribute_19 is 0.85. The attribute_20 is 0.91.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.53. The attribute_1 is 0.53. The attribute_2 is 0.07. The attribute_3 is 0.16. The attribute_4 is 0.34. The attribute_5 is 0.57. The attribute_6 is 0.19. The attribute_7 is 0.32. The attribute_8 is 0.15. The attribute_9 is 0.43. The attribute_10 is 0.59. The attribute_11 is 0.53. The attribute_12 is 0.28. The attribute_13 is 0.21. The attribute_14 is 0.21. The attribute_15 is 0.35. The attribute_16 is 0.59. The attribute_17 is 0.26. The attribute_18 is 0.63. The attribute_19 is 0.81. The attribute_20 is 0.75.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.81. The attribute_1 is 0.42. The attribute_2 is 0.44. The attribute_3 is 0.71. The attribute_4 is 0.27. The attribute_5 is 0.76. The attribute_6 is 0.77. The attribute_7 is 0.78. The attribute_8 is 0.71. The attribute_9 is 0.76. The attribute_10 is 0.77. The attribute_11 is 0.47. The attribute_12 is 0.16. The attribute_13 is 0.85. The attribute_14 is 0.06. The attribute_15 is 0.08. The attribute_16 is 0.15. The attribute_17 is 0.55. The attribute_18 is 0.61. The attribute_19 is 0.37. The attribute_20 is 0.61.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.0. The attribute_1 is 0.62. The attribute_2 is 0.82. The attribute_3 is 0.83. The attribute_4 is 0.41. The attribute_5 is 0.81. The attribute_6 is 0.92. The attribute_7 is 0.04. The attribute_8 is 0.98. The attribute_9 is 0.72. The attribute_10 is 0.47. The attribute_11 is 0.73. The attribute_12 is 0.75. The attribute_13 is 0.82. The attribute_14 is 0.5. The attribute_15 is 0.4. The attribute_16 is 0.34. The attribute_17 is 0.84. The attribute_18 is 0.26. The attribute_19 is 0.44. The attribute_20 is 0.52.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.1. The attribute_1 is 0.19. The attribute_2 is 0.53. The attribute_3 is 0.25. The attribute_4 is 0.19. The attribute_5 is 0.7. The attribute_6 is 0.86. The attribute_7 is 0.04. The attribute_8 is 0.63. The attribute_9 is 0.52. The attribute_10 is 0.31. The attribute_11 is 0.8. The attribute_12 is 0.45. The attribute_13 is 0.46. The attribute_14 is 0.42. The attribute_15 is 0.42. The attribute_16 is 0.34. The attribute_17 is 0.26. The attribute_18 is 0.05. The attribute_19 is 0.29. The attribute_20 is 0.33.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.84. The attribute_1 is 0.49. The attribute_2 is 0.28. The attribute_3 is 0.39. The attribute_4 is 0.93. The attribute_5 is 0.65. The attribute_6 is 0.24. The attribute_7 is 0.79. The attribute_8 is 0.1. The attribute_9 is 0.6. The attribute_10 is 0.87. The attribute_11 is 0.13. The attribute_12 is 0.97. The attribute_13 is 0.63. The attribute_14 is 0.93. The attribute_15 is 0.97. The attribute_16 is 0.93. The attribute_17 is 0.68. The attribute_18 is 0.71. The attribute_19 is 0.88. The attribute_20 is 0.85.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.74. The attribute_1 is 0.16. The attribute_2 is 0.33. The attribute_3 is 0.83. The attribute_4 is 0.73. The attribute_5 is 0.68. The attribute_6 is 0.42. The attribute_7 is 0.96. The attribute_8 is 0.58. The attribute_9 is 0.08. The attribute_10 is 0.06. The attribute_11 is 0.7. The attribute_12 is 0.75. The attribute_13 is 0.7. The attribute_14 is 0.76. The attribute_15 is 0.39. The attribute_16 is 0.66. The attribute_17 is 0.19. The attribute_18 is 0.95. The attribute_19 is 0.5. The attribute_20 is 0.24.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.01. The attribute_1 is 0.98. The attribute_2 is 0.98. The attribute_3 is 0.16. The attribute_4 is 0.94. The attribute_5 is 0.25. The attribute_6 is 0.89. The attribute_7 is 0.1. The attribute_8 is 0.96. The attribute_9 is 0.99. The attribute_10 is 0.98. The attribute_11 is 0.7. The attribute_12 is 0.78. The attribute_13 is 0.26. The attribute_14 is 0.87. The attribute_15 is 0.94. The attribute_16 is 0.89. The attribute_17 is 0.99. The attribute_18 is 0.06. The attribute_19 is 0.93. The attribute_20 is 0.86.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.79. The attribute_1 is 0.16. The attribute_2 is 0.15. The attribute_3 is 0.65. The attribute_4 is 0.18. The attribute_5 is 0.63. The attribute_6 is 0.37. The attribute_7 is 0.89. The attribute_8 is 0.27. The attribute_9 is 0.22. The attribute_10 is 0.3. The attribute_11 is 0.05. The attribute_12 is 0.82. The attribute_13 is 0.51. The attribute_14 is 0.77. The attribute_15 is 0.74. The attribute_16 is 0.24. The attribute_17 is 0.21. The attribute_18 is 0.81. The attribute_19 is 0.35. The attribute_20 is 0.33.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.53. The attribute_1 is 0.28. The attribute_2 is 0.49. The attribute_3 is 0.07. The attribute_4 is 0.88. The attribute_5 is 0.12. The attribute_6 is 0.48. The attribute_7 is 0.32. The attribute_8 is 0.38. The attribute_9 is 0.8. The attribute_10 is 0.74. The attribute_11 is 0.43. The attribute_12 is 0.88. The attribute_13 is 0.28. The attribute_14 is 0.57. The attribute_15 is 0.49. The attribute_16 is 0.66. The attribute_17 is 0.55. The attribute_18 is 0.45. The attribute_19 is 0.48. The attribute_20 is 0.45.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.6. The attribute_1 is 0.25. The attribute_2 is 0.51. The attribute_3 is 0.4. The attribute_4 is 0.03. The attribute_5 is 0.78. The attribute_6 is 0.03. The attribute_7 is 0.65. The attribute_8 is 0.35. The attribute_9 is 0.67. The attribute_10 is 0.59. The attribute_11 is 0.17. The attribute_12 is 0.01. The attribute_13 is 0.41. The attribute_14 is 0.38. The attribute_15 is 0.28. The attribute_16 is 0.13. The attribute_17 is 0.26. The attribute_18 is 0.83. The attribute_19 is 0.21. The attribute_20 is 0.63.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.85. The attribute_1 is 0.36. The attribute_2 is 0.34. The attribute_3 is 0.16. The attribute_4 is 0.28. The attribute_5 is 0.11. The attribute_6 is 0.2. The attribute_7 is 0.88. The attribute_8 is 0.17. The attribute_9 is 0.06. The attribute_10 is 0.17. The attribute_11 is 0.09. The attribute_12 is 0.9. The attribute_13 is 0.19. The attribute_14 is 0.99. The attribute_15 is 0.89. The attribute_16 is 0.3. The attribute_17 is 0.32. The attribute_18 is 0.93. The attribute_19 is 0.18. The attribute_20 is 0.27.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.64. The attribute_1 is 0.13. The attribute_2 is 0.06. The attribute_3 is 0.19. The attribute_4 is 0.33. The attribute_5 is 0.34. The attribute_6 is 0.28. The attribute_7 is 0.7. The attribute_8 is 0.37. The attribute_9 is 0.26. The attribute_10 is 0.41. The attribute_11 is 0.26. The attribute_12 is 0.41. The attribute_13 is 0.31. The attribute_14 is 0.63. The attribute_15 is 0.42. The attribute_16 is 0.41. The attribute_17 is 0.08. The attribute_18 is 0.52. The attribute_19 is 0.61. The attribute_20 is 0.73.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.35. The attribute_1 is 0.1. The attribute_2 is 0.37. The attribute_3 is 0.96. The attribute_4 is 0.77. The attribute_5 is 0.79. The attribute_6 is 0.43. The attribute_7 is 0.5. The attribute_8 is 0.73. The attribute_9 is 0.08. The attribute_10 is 0.08. The attribute_11 is 0.48. The attribute_12 is 0.98. The attribute_13 is 0.65. The attribute_14 is 0.89. The attribute_15 is 0.13. The attribute_16 is 0.84. The attribute_17 is 0.21. The attribute_18 is 0.83. The attribute_19 is 0.31. The attribute_20 is 0.11.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.71. The attribute_1 is 0.6. The attribute_2 is 0.41. The attribute_3 is 0.08. The attribute_4 is 0.07. The attribute_5 is 0.04. The attribute_6 is 0.18. The attribute_7 is 0.78. The attribute_8 is 0.33. The attribute_9 is 0.92. The attribute_10 is 0.86. The attribute_11 is 0.21. The attribute_12 is 0.4. The attribute_13 is 0.09. The attribute_14 is 0.39. The attribute_15 is 0.47. The attribute_16 is 0.18. The attribute_17 is 0.43. The attribute_18 is 0.42. The attribute_19 is 0.25. The attribute_20 is 0.99.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.7. The attribute_1 is 0.22. The attribute_2 is 0.53. The attribute_3 is 0.78. The attribute_4 is 0.16. The attribute_5 is 0.82. The attribute_6 is 0.2. The attribute_7 is 0.82. The attribute_8 is 0.38. The attribute_9 is 0.88. The attribute_10 is 0.89. The attribute_11 is 0.38. The attribute_12 is 0.55. The attribute_13 is 0.74. The attribute_14 is 0.28. The attribute_15 is 0.06. The attribute_16 is 0.1. The attribute_17 is 0.33. The attribute_18 is 0.78. The attribute_19 is 0.21. The attribute_20 is 0.75.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.06. The attribute_1 is 0.44. The attribute_2 is 0.77. The attribute_3 is 0.87. The attribute_4 is 0.05. The attribute_5 is 0.98. The attribute_6 is 0.68. The attribute_7 is 0.1. The attribute_8 is 0.93. The attribute_9 is 0.75. The attribute_10 is 0.88. The attribute_11 is 0.44. The attribute_12 is 0.12. The attribute_13 is 0.92. The attribute_14 is 0.03. The attribute_15 is 0.26. The attribute_16 is 0.1. The attribute_17 is 0.74. The attribute_18 is 0.38. The attribute_19 is 0.18. The attribute_20 is 0.86.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.46. The attribute_1 is 0.79. The attribute_2 is 0.42. The attribute_3 is 0.22. The attribute_4 is 0.39. The attribute_5 is 0.05. The attribute_6 is 0.67. The attribute_7 is 0.41. The attribute_8 is 0.84. The attribute_9 is 0.51. The attribute_10 is 0.67. The attribute_11 is 0.53. The attribute_12 is 0.6. The attribute_13 is 0.22. The attribute_14 is 0.39. The attribute_15 is 0.44. The attribute_16 is 0.6. The attribute_17 is 0.7. The attribute_18 is 0.67. The attribute_19 is 0.63. The attribute_20 is 0.41.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.07. The attribute_1 is 0.3. The attribute_2 is 0.15. The attribute_3 is 0.88. The attribute_4 is 0.15. The attribute_5 is 0.81. The attribute_6 is 0.75. The attribute_7 is 0.17. The attribute_8 is 0.58. The attribute_9 is 0.38. The attribute_10 is 0.7. The attribute_11 is 0.36. The attribute_12 is 0.29. The attribute_13 is 0.81. The attribute_14 is 0.04. The attribute_15 is 0.35. The attribute_16 is 0.34. The attribute_17 is 0.29. The attribute_18 is 0.16. The attribute_19 is 0.34. The attribute_20 is 0.62.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.08. The attribute_1 is 0.7. The attribute_2 is 0.76. The attribute_3 is 0.56. The attribute_4 is 0.45. The attribute_5 is 0.71. The attribute_6 is 0.95. The attribute_7 is 0.17. The attribute_8 is 0.86. The attribute_9 is 0.4. The attribute_10 is 0.42. The attribute_11 is 0.68. The attribute_12 is 0.26. The attribute_13 is 0.64. The attribute_14 is 0.37. The attribute_15 is 0.72. The attribute_16 is 0.65. The attribute_17 is 0.81. The attribute_18 is 0.25. The attribute_19 is 0.76. The attribute_20 is 0.63.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.16. The attribute_1 is 0.68. The attribute_2 is 0.89. The attribute_3 is 0.84. The attribute_4 is 0.14. The attribute_5 is 0.25. The attribute_6 is 0.77. The attribute_7 is 0.43. The attribute_8 is 0.96. The attribute_9 is 0.03. The attribute_10 is 0.02. The attribute_11 is 0.91. The attribute_12 is 0.28. The attribute_13 is 0.72. The attribute_14 is 0.09. The attribute_15 is 0.26. The attribute_16 is 0.21. The attribute_17 is 0.81. The attribute_18 is 0.34. The attribute_19 is 0.21. The attribute_20 is 0.09.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.27. The attribute_1 is 0.55. The attribute_2 is 0.7. The attribute_3 is 0.67. The attribute_4 is 0.04. The attribute_5 is 0.69. The attribute_6 is 0.66. The attribute_7 is 0.34. The attribute_8 is 0.65. The attribute_9 is 0.8. The attribute_10 is 0.66. The attribute_11 is 0.68. The attribute_12 is 0.12. The attribute_13 is 0.54. The attribute_14 is 0.02. The attribute_15 is 0.0. The attribute_16 is 0.18. The attribute_17 is 0.67. The attribute_18 is 0.44. The attribute_19 is 0.14. The attribute_20 is 0.53.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.96. The attribute_1 is 0.11. The attribute_2 is 0.02. The attribute_3 is 0.17. The attribute_4 is 0.1. The attribute_5 is 0.08. The attribute_6 is 0.08. The attribute_7 is 0.9. The attribute_8 is 0.02. The attribute_9 is 0.01. The attribute_10 is 0.13. The attribute_11 is 0.09. The attribute_12 is 0.07. The attribute_13 is 0.16. The attribute_14 is 0.02. The attribute_15 is 0.0. The attribute_16 is 0.01. The attribute_17 is 0.01. The attribute_18 is 0.89. The attribute_19 is 0.02. The attribute_20 is 0.37.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.7. The attribute_1 is 0.8. The attribute_2 is 0.82. The attribute_3 is 0.38. The attribute_4 is 0.71. The attribute_5 is 0.79. The attribute_6 is 0.24. The attribute_7 is 0.88. The attribute_8 is 0.39. The attribute_9 is 0.68. The attribute_10 is 0.49. The attribute_11 is 0.31. The attribute_12 is 0.7. The attribute_13 is 0.63. The attribute_14 is 0.78. The attribute_15 is 0.94. The attribute_16 is 0.7. The attribute_17 is 0.75. The attribute_18 is 0.59. The attribute_19 is 0.56. The attribute_20 is 0.3.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.97. The attribute_1 is 0.67. The attribute_2 is 0.82. The attribute_3 is 0.98. The attribute_4 is 0.07. The attribute_5 is 0.77. The attribute_6 is 0.28. The attribute_7 is 0.62. The attribute_8 is 0.02. The attribute_9 is 0.73. The attribute_10 is 0.32. The attribute_11 is 0.19. The attribute_12 is 0.13. The attribute_13 is 0.98. The attribute_14 is 0.0. The attribute_15 is 0.05. The attribute_16 is 0.0. The attribute_17 is 0.78. The attribute_18 is 0.74. The attribute_19 is 0.03. The attribute_20 is 0.59.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.46. The attribute_1 is 0.56. The attribute_2 is 0.53. The attribute_3 is 0.49. The attribute_4 is 0.77. The attribute_5 is 0.34. The attribute_6 is 0.45. The attribute_7 is 0.57. The attribute_8 is 0.41. The attribute_9 is 0.54. The attribute_10 is 0.33. The attribute_11 is 0.45. The attribute_12 is 0.75. The attribute_13 is 0.43. The attribute_14 is 0.79. The attribute_15 is 0.76. The attribute_16 is 0.61. The attribute_17 is 0.47. The attribute_18 is 0.54. The attribute_19 is 0.66. The attribute_20 is 0.35.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.97. The attribute_1 is 0.52. The attribute_2 is 0.51. The attribute_3 is 0.21. The attribute_4 is 0.04. The attribute_5 is 0.12. The attribute_6 is 0.42. The attribute_7 is 0.95. The attribute_8 is 0.48. The attribute_9 is 0.8. The attribute_10 is 0.61. The attribute_11 is 0.62. The attribute_12 is 0.46. The attribute_13 is 0.13. The attribute_14 is 0.16. The attribute_15 is 0.04. The attribute_16 is 0.02. The attribute_17 is 0.52. The attribute_18 is 0.72. The attribute_19 is 0.02. The attribute_20 is 0.8.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.79. The attribute_1 is 0.7. The attribute_2 is 0.84. The attribute_3 is 0.45. The attribute_4 is 0.58. The attribute_5 is 0.29. The attribute_6 is 0.77. The attribute_7 is 0.59. The attribute_8 is 0.9. The attribute_9 is 0.02. The attribute_10 is 0.04. The attribute_11 is 0.51. The attribute_12 is 0.41. The attribute_13 is 0.3. The attribute_14 is 0.2. The attribute_15 is 0.08. The attribute_16 is 0.6. The attribute_17 is 0.76. The attribute_18 is 0.27. The attribute_19 is 0.41. The attribute_20 is 0.02.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.04. The attribute_1 is 0.76. The attribute_2 is 0.37. The attribute_3 is 0.38. The attribute_4 is 0.12. The attribute_5 is 0.68. The attribute_6 is 0.99. The attribute_7 is 0.02. The attribute_8 is 0.95. The attribute_9 is 0.13. The attribute_10 is 0.12. The attribute_11 is 0.99. The attribute_12 is 0.98. The attribute_13 is 0.58. The attribute_14 is 0.93. The attribute_15 is 0.96. The attribute_16 is 0.29. The attribute_17 is 0.71. The attribute_18 is 0.03. The attribute_19 is 0.47. The attribute_20 is 0.23.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.99. The attribute_1 is 0.5. The attribute_2 is 0.28. The attribute_3 is 0.01. The attribute_4 is 0.93. The attribute_5 is 0.07. The attribute_6 is 0.35. The attribute_7 is 0.93. The attribute_8 is 0.09. The attribute_9 is 0.88. The attribute_10 is 0.95. The attribute_11 is 0.14. The attribute_12 is 0.86. The attribute_13 is 0.07. The attribute_14 is 0.94. The attribute_15 is 0.97. The attribute_16 is 0.96. The attribute_17 is 0.52. The attribute_18 is 0.86. The attribute_19 is 0.85. The attribute_20 is 0.75.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.6. The attribute_1 is 0.36. The attribute_2 is 0.53. The attribute_3 is 0.88. The attribute_4 is 0.43. The attribute_5 is 0.9. The attribute_6 is 0.36. The attribute_7 is 0.81. The attribute_8 is 0.42. The attribute_9 is 0.76. The attribute_10 is 0.96. The attribute_11 is 0.53. The attribute_12 is 0.29. The attribute_13 is 0.81. The attribute_14 is 0.39. The attribute_15 is 0.27. The attribute_16 is 0.35. The attribute_17 is 0.49. The attribute_18 is 0.59. The attribute_19 is 0.23. The attribute_20 is 0.9.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.29. The attribute_1 is 0.91. The attribute_2 is 0.95. The attribute_3 is 0.98. The attribute_4 is 0.12. The attribute_5 is 0.93. The attribute_6 is 0.82. The attribute_7 is 0.23. The attribute_8 is 0.73. The attribute_9 is 0.82. The attribute_10 is 0.78. The attribute_11 is 0.6. The attribute_12 is 0.03. The attribute_13 is 0.98. The attribute_14 is 0.36. The attribute_15 is 0.24. The attribute_16 is 0.3. The attribute_17 is 0.99. The attribute_18 is 0.06. The attribute_19 is 0.08. The attribute_20 is 0.93.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.76. The attribute_1 is 0.28. The attribute_2 is 0.08. The attribute_3 is 0.03. The attribute_4 is 0.38. The attribute_5 is 0.11. The attribute_6 is 0.08. The attribute_7 is 0.95. The attribute_8 is 0.08. The attribute_9 is 0.64. The attribute_10 is 0.76. The attribute_11 is 0.14. The attribute_12 is 0.29. The attribute_13 is 0.04. The attribute_14 is 0.8. The attribute_15 is 0.78. The attribute_16 is 0.6. The attribute_17 is 0.14. The attribute_18 is 0.31. The attribute_19 is 0.31. The attribute_20 is 0.6.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.53. The attribute_1 is 0.57. The attribute_2 is 0.65. The attribute_3 is 0.27. The attribute_4 is 0.99. The attribute_5 is 0.45. The attribute_6 is 0.19. The attribute_7 is 0.79. The attribute_8 is 0.41. The attribute_9 is 0.94. The attribute_10 is 0.77. The attribute_11 is 0.2. The attribute_12 is 0.59. The attribute_13 is 0.3. The attribute_14 is 0.54. The attribute_15 is 0.51. The attribute_16 is 0.93. The attribute_17 is 0.48. The attribute_18 is 0.74. The attribute_19 is 0.93. The attribute_20 is 0.73.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.45. The attribute_1 is 0.88. The attribute_2 is 0.76. The attribute_3 is 0.71. The attribute_4 is 0.11. The attribute_5 is 0.87. The attribute_6 is 0.97. The attribute_7 is 0.45. The attribute_8 is 0.95. The attribute_9 is 0.3. The attribute_10 is 0.21. The attribute_11 is 0.92. The attribute_12 is 0.93. The attribute_13 is 0.62. The attribute_14 is 0.67. The attribute_15 is 0.62. The attribute_16 is 0.61. The attribute_17 is 0.73. The attribute_18 is 0.01. The attribute_19 is 0.43. The attribute_20 is 0.14.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.75. The attribute_1 is 0.86. The attribute_2 is 0.81. The attribute_3 is 0.68. The attribute_4 is 0.3. The attribute_5 is 0.7. The attribute_6 is 0.76. The attribute_7 is 0.29. The attribute_8 is 0.8. The attribute_9 is 0.89. The attribute_10 is 0.53. The attribute_11 is 0.56. The attribute_12 is 0.15. The attribute_13 is 0.84. The attribute_14 is 0.3. The attribute_15 is 0.71. The attribute_16 is 0.38. The attribute_17 is 0.9. The attribute_18 is 0.25. The attribute_19 is 0.64. The attribute_20 is 0.38.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.7. The attribute_1 is 0.89. The attribute_2 is 0.97. The attribute_3 is 0.58. The attribute_4 is 0.32. The attribute_5 is 0.73. The attribute_6 is 0.66. The attribute_7 is 0.62. The attribute_8 is 0.52. The attribute_9 is 0.96. The attribute_10 is 0.99. The attribute_11 is 0.79. The attribute_12 is 0.1. The attribute_13 is 0.62. The attribute_14 is 0.01. The attribute_15 is 0.02. The attribute_16 is 0.26. The attribute_17 is 0.93. The attribute_18 is 0.31. The attribute_19 is 0.19. The attribute_20 is 0.96.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.74. The attribute_1 is 0.04. The attribute_2 is 0.26. The attribute_3 is 0.78. The attribute_4 is 0.53. The attribute_5 is 0.9. The attribute_6 is 0.77. The attribute_7 is 0.3. The attribute_8 is 0.85. The attribute_9 is 0.96. The attribute_10 is 0.78. The attribute_11 is 0.73. The attribute_12 is 0.36. The attribute_13 is 0.87. The attribute_14 is 0.5. The attribute_15 is 0.55. The attribute_16 is 0.46. The attribute_17 is 0.26. The attribute_18 is 0.29. The attribute_19 is 0.45. The attribute_20 is 0.76.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.96. The attribute_1 is 0.83. The attribute_2 is 0.25. The attribute_3 is 0.15. The attribute_4 is 0.12. The attribute_5 is 0.69. The attribute_6 is 0.39. The attribute_7 is 0.99. The attribute_8 is 0.21. The attribute_9 is 0.74. The attribute_10 is 0.7. The attribute_11 is 0.46. The attribute_12 is 0.3. The attribute_13 is 0.35. The attribute_14 is 0.16. The attribute_15 is 0.36. The attribute_16 is 0.12. The attribute_17 is 0.22. The attribute_18 is 0.91. The attribute_19 is 0.12. The attribute_20 is 0.62.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.36. The attribute_1 is 0.81. The attribute_2 is 0.63. The attribute_3 is 0.33. The attribute_4 is 0.59. The attribute_5 is 0.19. The attribute_6 is 0.61. The attribute_7 is 0.62. The attribute_8 is 0.63. The attribute_9 is 0.55. The attribute_10 is 0.48. The attribute_11 is 0.64. The attribute_12 is 0.88. The attribute_13 is 0.17. The attribute_14 is 0.79. The attribute_15 is 0.62. The attribute_16 is 0.75. The attribute_17 is 0.71. The attribute_18 is 0.61. The attribute_19 is 0.79. The attribute_20 is 0.63.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.0. The attribute_1 is 0.57. The attribute_2 is 0.79. The attribute_3 is 0.84. The attribute_4 is 0.21. The attribute_5 is 0.7. The attribute_6 is 0.58. The attribute_7 is 0.07. The attribute_8 is 0.68. The attribute_9 is 0.75. The attribute_10 is 0.67. The attribute_11 is 0.78. The attribute_12 is 0.2. The attribute_13 is 0.96. The attribute_14 is 0.27. The attribute_15 is 0.5. The attribute_16 is 0.04. The attribute_17 is 0.73. The attribute_18 is 0.01. The attribute_19 is 0.02. The attribute_20 is 0.69.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.14. The attribute_1 is 0.99. The attribute_2 is 0.94. The attribute_3 is 0.86. The attribute_4 is 0.64. The attribute_5 is 0.48. The attribute_6 is 0.97. The attribute_7 is 0.02. The attribute_8 is 0.94. The attribute_9 is 0.67. The attribute_10 is 0.49. The attribute_11 is 0.92. The attribute_12 is 0.21. The attribute_13 is 0.83. The attribute_14 is 0.13. The attribute_15 is 0.19. The attribute_16 is 0.8. The attribute_17 is 0.9. The attribute_18 is 0.0. The attribute_19 is 0.54. The attribute_20 is 0.52.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.04. The attribute_1 is 0.34. The attribute_2 is 0.38. The attribute_3 is 0.76. The attribute_4 is 0.84. The attribute_5 is 0.55. The attribute_6 is 0.64. The attribute_7 is 0.13. The attribute_8 is 0.61. The attribute_9 is 0.08. The attribute_10 is 0.44. The attribute_11 is 0.41. The attribute_12 is 0.93. The attribute_13 is 0.8. The attribute_14 is 0.99. The attribute_15 is 0.9. The attribute_16 is 0.81. The attribute_17 is 0.44. The attribute_18 is 0.06. The attribute_19 is 0.71. The attribute_20 is 0.36.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.83. The attribute_1 is 0.67. The attribute_2 is 0.28. The attribute_3 is 0.19. The attribute_4 is 0.5. The attribute_5 is 0.29. The attribute_6 is 0.85. The attribute_7 is 0.73. The attribute_8 is 0.87. The attribute_9 is 0.37. The attribute_10 is 0.69. The attribute_11 is 0.93. The attribute_12 is 0.84. The attribute_13 is 0.22. The attribute_14 is 0.84. The attribute_15 is 0.82. The attribute_16 is 0.57. The attribute_17 is 0.52. The attribute_18 is 0.71. The attribute_19 is 0.52. The attribute_20 is 0.81.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.58. The attribute_1 is 0.47. The attribute_2 is 0.77. The attribute_3 is 0.24. The attribute_4 is 0.96. The attribute_5 is 0.25. The attribute_6 is 0.61. The attribute_7 is 0.89. The attribute_8 is 0.81. The attribute_9 is 0.4. The attribute_10 is 0.73. The attribute_11 is 0.42. The attribute_12 is 0.51. The attribute_13 is 0.05. The attribute_14 is 0.42. The attribute_15 is 0.25. The attribute_16 is 0.93. The attribute_17 is 0.64. The attribute_18 is 0.81. The attribute_19 is 0.88. The attribute_20 is 0.49.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.88. The attribute_1 is 0.53. The attribute_2 is 0.28. The attribute_3 is 0.38. The attribute_4 is 0.94. The attribute_5 is 0.34. The attribute_6 is 0.55. The attribute_7 is 0.63. The attribute_8 is 0.6. The attribute_9 is 0.69. The attribute_10 is 0.41. The attribute_11 is 0.42. The attribute_12 is 0.67. The attribute_13 is 0.27. The attribute_14 is 0.77. The attribute_15 is 0.82. The attribute_16 is 0.95. The attribute_17 is 0.47. The attribute_18 is 0.61. The attribute_19 is 0.85. The attribute_20 is 0.34.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.43. The attribute_1 is 0.44. The attribute_2 is 0.6. The attribute_3 is 0.3. The attribute_4 is 0.36. The attribute_5 is 0.42. The attribute_6 is 0.47. The attribute_7 is 0.35. The attribute_8 is 0.81. The attribute_9 is 0.86. The attribute_10 is 0.72. The attribute_11 is 0.51. The attribute_12 is 0.56. The attribute_13 is 0.61. The attribute_14 is 0.44. The attribute_15 is 0.64. The attribute_16 is 0.43. The attribute_17 is 0.55. The attribute_18 is 0.33. The attribute_19 is 0.5. The attribute_20 is 0.57.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.79. The attribute_1 is 0.54. The attribute_2 is 0.56. The attribute_3 is 0.98. The attribute_4 is 0.22. The attribute_5 is 0.99. The attribute_6 is 0.01. The attribute_7 is 0.84. The attribute_8 is 0.04. The attribute_9 is 0.07. The attribute_10 is 0.08. The attribute_11 is 0.03. The attribute_12 is 0.11. The attribute_13 is 1.0. The attribute_14 is 0.01. The attribute_15 is 0.03. The attribute_16 is 0.23. The attribute_17 is 0.74. The attribute_18 is 0.87. The attribute_19 is 0.6. The attribute_20 is 0.09.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.78. The attribute_1 is 0.56. The attribute_2 is 0.77. The attribute_3 is 0.38. The attribute_4 is 0.35. The attribute_5 is 0.91. The attribute_6 is 0.6. The attribute_7 is 0.65. The attribute_8 is 0.54. The attribute_9 is 0.16. The attribute_10 is 0.35. The attribute_11 is 0.43. The attribute_12 is 0.24. The attribute_13 is 0.88. The attribute_14 is 0.51. The attribute_15 is 0.89. The attribute_16 is 0.48. The attribute_17 is 0.79. The attribute_18 is 0.79. The attribute_19 is 0.65. The attribute_20 is 0.16.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.88. The attribute_1 is 0.35. The attribute_2 is 0.23. The attribute_3 is 0.4. The attribute_4 is 0.26. The attribute_5 is 0.65. The attribute_6 is 0.2. The attribute_7 is 0.93. The attribute_8 is 0.15. The attribute_9 is 0.32. The attribute_10 is 0.38. The attribute_11 is 0.28. The attribute_12 is 0.24. The attribute_13 is 0.49. The attribute_14 is 0.54. The attribute_15 is 0.48. The attribute_16 is 0.45. The attribute_17 is 0.33. The attribute_18 is 0.53. The attribute_19 is 0.45. The attribute_20 is 0.37.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.67. The attribute_1 is 0.52. The attribute_2 is 0.58. The attribute_3 is 0.76. The attribute_4 is 0.42. The attribute_5 is 0.32. The attribute_6 is 0.32. The attribute_7 is 0.83. The attribute_8 is 0.53. The attribute_9 is 0.91. The attribute_10 is 0.96. The attribute_11 is 0.33. The attribute_12 is 0.1. The attribute_13 is 0.61. The attribute_14 is 0.26. The attribute_15 is 0.17. The attribute_16 is 0.26. The attribute_17 is 0.64. The attribute_18 is 0.96. The attribute_19 is 0.09. The attribute_20 is 0.93.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.82. The attribute_1 is 0.56. The attribute_2 is 0.73. The attribute_3 is 0.26. The attribute_4 is 0.15. The attribute_5 is 0.7. The attribute_6 is 0.74. The attribute_7 is 0.36. The attribute_8 is 0.51. The attribute_9 is 0.67. The attribute_10 is 0.81. The attribute_11 is 0.6. The attribute_12 is 0.27. The attribute_13 is 0.74. The attribute_14 is 0.28. The attribute_15 is 0.63. The attribute_16 is 0.29. The attribute_17 is 0.73. The attribute_18 is 0.16. The attribute_19 is 0.46. The attribute_20 is 0.58.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.48. The attribute_1 is 0.02. The attribute_2 is 0.41. The attribute_3 is 0.66. The attribute_4 is 0.44. The attribute_5 is 0.48. The attribute_6 is 0.2. The attribute_7 is 0.82. The attribute_8 is 0.56. The attribute_9 is 0.85. The attribute_10 is 0.82. The attribute_11 is 0.4. The attribute_12 is 0.56. The attribute_13 is 0.48. The attribute_14 is 0.51. The attribute_15 is 0.41. The attribute_16 is 0.18. The attribute_17 is 0.2. The attribute_18 is 0.74. The attribute_19 is 0.31. The attribute_20 is 0.67.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.55. The attribute_1 is 0.6. The attribute_2 is 0.92. The attribute_3 is 0.75. The attribute_4 is 0.78. The attribute_5 is 0.54. The attribute_6 is 0.92. The attribute_7 is 0.58. The attribute_8 is 0.97. The attribute_9 is 0.48. The attribute_10 is 0.82. The attribute_11 is 0.7. The attribute_12 is 0.28. The attribute_13 is 0.48. The attribute_14 is 0.5. The attribute_15 is 0.36. The attribute_16 is 0.54. The attribute_17 is 0.9. The attribute_18 is 0.34. The attribute_19 is 0.69. The attribute_20 is 0.94.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.27. The attribute_1 is 0.23. The attribute_2 is 0.49. The attribute_3 is 0.21. The attribute_4 is 0.82. The attribute_5 is 0.36. The attribute_6 is 0.55. The attribute_7 is 0.34. The attribute_8 is 0.55. The attribute_9 is 0.14. The attribute_10 is 0.09. The attribute_11 is 0.39. The attribute_12 is 0.75. The attribute_13 is 0.2. The attribute_14 is 0.97. The attribute_15 is 0.96. The attribute_16 is 1.0. The attribute_17 is 0.43. The attribute_18 is 0.42. The attribute_19 is 0.88. The attribute_20 is 0.32.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.77. The attribute_1 is 0.26. The attribute_2 is 0.52. The attribute_3 is 0.71. The attribute_4 is 0.61. The attribute_5 is 0.76. The attribute_6 is 0.03. The attribute_7 is 0.84. The attribute_8 is 0.06. The attribute_9 is 0.27. The attribute_10 is 0.17. The attribute_11 is 0.01. The attribute_12 is 0.64. The attribute_13 is 0.73. The attribute_14 is 0.32. The attribute_15 is 0.36. The attribute_16 is 0.34. The attribute_17 is 0.42. The attribute_18 is 0.92. The attribute_19 is 0.44. The attribute_20 is 0.11.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.61. The attribute_1 is 0.05. The attribute_2 is 0.04. The attribute_3 is 0.14. The attribute_4 is 0.71. The attribute_5 is 0.04. The attribute_6 is 0.19. The attribute_7 is 0.53. The attribute_8 is 0.25. The attribute_9 is 0.19. The attribute_10 is 0.19. The attribute_11 is 0.03. The attribute_12 is 0.27. The attribute_13 is 0.46. The attribute_14 is 0.48. The attribute_15 is 0.68. The attribute_16 is 0.82. The attribute_17 is 0.13. The attribute_18 is 0.99. The attribute_19 is 0.71. The attribute_20 is 0.29.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.31. The attribute_1 is 0.36. The attribute_2 is 0.29. The attribute_3 is 0.59. The attribute_4 is 0.8. The attribute_5 is 0.54. The attribute_6 is 0.56. The attribute_7 is 0.38. The attribute_8 is 0.52. The attribute_9 is 0.24. The attribute_10 is 0.27. The attribute_11 is 0.38. The attribute_12 is 0.69. The attribute_13 is 0.7. The attribute_14 is 0.77. The attribute_15 is 0.63. The attribute_16 is 0.81. The attribute_17 is 0.54. The attribute_18 is 0.44. The attribute_19 is 0.51. The attribute_20 is 0.34.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.99. The attribute_1 is 0.26. The attribute_2 is 0.07. The attribute_3 is 0.03. The attribute_4 is 0.66. The attribute_5 is 0.05. The attribute_6 is 0.43. The attribute_7 is 0.71. The attribute_8 is 0.23. The attribute_9 is 0.83. The attribute_10 is 0.66. The attribute_11 is 0.41. The attribute_12 is 0.65. The attribute_13 is 0.03. The attribute_14 is 0.48. The attribute_15 is 0.34. The attribute_16 is 0.48. The attribute_17 is 0.11. The attribute_18 is 0.83. The attribute_19 is 0.26. The attribute_20 is 0.59.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.89. The attribute_1 is 0.17. The attribute_2 is 0.3. The attribute_3 is 0.18. The attribute_4 is 0.96. The attribute_5 is 0.2. The attribute_6 is 0.19. The attribute_7 is 0.92. The attribute_8 is 0.11. The attribute_9 is 0.24. The attribute_10 is 0.12. The attribute_11 is 0.59. The attribute_12 is 0.99. The attribute_13 is 0.41. The attribute_14 is 0.94. The attribute_15 is 0.95. The attribute_16 is 0.87. The attribute_17 is 0.22. The attribute_18 is 0.81. The attribute_19 is 0.87. The attribute_20 is 0.22.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.42. The attribute_1 is 0.42. The attribute_2 is 0.67. The attribute_3 is 0.25. The attribute_4 is 0.4. The attribute_5 is 0.21. The attribute_6 is 0.71. The attribute_7 is 0.43. The attribute_8 is 0.66. The attribute_9 is 0.71. The attribute_10 is 0.83. The attribute_11 is 0.43. The attribute_12 is 0.78. The attribute_13 is 0.45. The attribute_14 is 0.58. The attribute_15 is 0.81. The attribute_16 is 0.37. The attribute_17 is 0.67. The attribute_18 is 0.79. The attribute_19 is 0.28. The attribute_20 is 0.78.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.57. The attribute_1 is 0.72. The attribute_2 is 0.5. The attribute_3 is 0.07. The attribute_4 is 0.33. The attribute_5 is 0.0. The attribute_6 is 0.37. The attribute_7 is 0.56. The attribute_8 is 0.38. The attribute_9 is 0.44. The attribute_10 is 0.6. The attribute_11 is 0.51. The attribute_12 is 0.06. The attribute_13 is 0.0. The attribute_14 is 0.13. The attribute_15 is 0.34. The attribute_16 is 0.44. The attribute_17 is 0.72. The attribute_18 is 0.85. The attribute_19 is 0.71. The attribute_20 is 0.58.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.45. The attribute_1 is 0.23. The attribute_2 is 0.42. The attribute_3 is 0.34. The attribute_4 is 0.87. The attribute_5 is 0.2. The attribute_6 is 0.26. The attribute_7 is 0.51. The attribute_8 is 0.54. The attribute_9 is 0.49. The attribute_10 is 0.1. The attribute_11 is 0.15. The attribute_12 is 0.6. The attribute_13 is 0.27. The attribute_14 is 0.39. The attribute_15 is 0.53. The attribute_16 is 0.59. The attribute_17 is 0.3. The attribute_18 is 0.83. The attribute_19 is 0.39. The attribute_20 is 0.31.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.67. The attribute_1 is 0.09. The attribute_2 is 0.36. The attribute_3 is 0.51. The attribute_4 is 0.08. The attribute_5 is 0.34. The attribute_6 is 0.82. The attribute_7 is 0.37. The attribute_8 is 0.39. The attribute_9 is 0.06. The attribute_10 is 0.02. The attribute_11 is 0.08. The attribute_12 is 0.42. The attribute_13 is 0.83. The attribute_14 is 0.01. The attribute_15 is 0.07. The attribute_16 is 0.09. The attribute_17 is 0.63. The attribute_18 is 0.93. The attribute_19 is 0.34. The attribute_20 is 0.03.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.54. The attribute_1 is 0.28. The attribute_2 is 0.4. The attribute_3 is 0.19. The attribute_4 is 0.61. The attribute_5 is 0.04. The attribute_6 is 0.17. The attribute_7 is 0.6. The attribute_8 is 0.35. The attribute_9 is 0.32. The attribute_10 is 0.55. The attribute_11 is 0.25. The attribute_12 is 0.59. The attribute_13 is 0.12. The attribute_14 is 0.68. The attribute_15 is 0.77. The attribute_16 is 0.89. The attribute_17 is 0.36. The attribute_18 is 0.69. The attribute_19 is 0.85. The attribute_20 is 0.52.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.95. The attribute_1 is 0.85. The attribute_2 is 0.86. The attribute_3 is 0.89. The attribute_4 is 0.21. The attribute_5 is 0.87. The attribute_6 is 0.04. The attribute_7 is 0.85. The attribute_8 is 0.01. The attribute_9 is 0.78. The attribute_10 is 0.92. The attribute_11 is 0.11. The attribute_12 is 0.11. The attribute_13 is 0.98. The attribute_14 is 0.14. The attribute_15 is 0.52. The attribute_16 is 0.2. The attribute_17 is 0.93. The attribute_18 is 0.64. The attribute_19 is 0.21. The attribute_20 is 0.87.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.32. The attribute_1 is 0.98. The attribute_2 is 0.98. The attribute_3 is 0.46. The attribute_4 is 0.73. The attribute_5 is 0.48. The attribute_6 is 0.89. The attribute_7 is 0.96. The attribute_8 is 0.95. The attribute_9 is 0.93. The attribute_10 is 0.86. The attribute_11 is 0.65. The attribute_12 is 0.69. The attribute_13 is 0.37. The attribute_14 is 0.9. The attribute_15 is 0.98. The attribute_16 is 1.0. The attribute_17 is 0.98. The attribute_18 is 0.53. The attribute_19 is 0.97. The attribute_20 is 0.55.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.56. The attribute_1 is 0.37. The attribute_2 is 0.11. The attribute_3 is 0.93. The attribute_4 is 0.4. The attribute_5 is 0.84. The attribute_6 is 0.12. The attribute_7 is 0.52. The attribute_8 is 0.13. The attribute_9 is 0.19. The attribute_10 is 0.14. The attribute_11 is 0.35. The attribute_12 is 0.63. The attribute_13 is 0.91. The attribute_14 is 0.4. The attribute_15 is 0.48. The attribute_16 is 0.04. The attribute_17 is 0.04. The attribute_18 is 0.52. The attribute_19 is 0.08. The attribute_20 is 0.38.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.06. The attribute_1 is 0.92. The attribute_2 is 0.97. The attribute_3 is 0.9. The attribute_4 is 0.09. The attribute_5 is 0.84. The attribute_6 is 0.2. The attribute_7 is 0.1. The attribute_8 is 0.11. The attribute_9 is 0.81. The attribute_10 is 0.88. The attribute_11 is 0.17. The attribute_12 is 0.26. The attribute_13 is 0.73. The attribute_14 is 0.08. The attribute_15 is 0.26. The attribute_16 is 0.18. The attribute_17 is 0.96. The attribute_18 is 0.32. The attribute_19 is 0.09. The attribute_20 is 0.72.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.11. The attribute_1 is 0.28. The attribute_2 is 0.43. The attribute_3 is 0.78. The attribute_4 is 0.15. The attribute_5 is 0.81. The attribute_6 is 0.99. The attribute_7 is 0.21. The attribute_8 is 0.91. The attribute_9 is 0.33. The attribute_10 is 0.15. The attribute_11 is 0.98. The attribute_12 is 0.32. The attribute_13 is 0.86. The attribute_14 is 0.05. The attribute_15 is 0.11. The attribute_16 is 0.12. The attribute_17 is 0.38. The attribute_18 is 0.05. The attribute_19 is 0.15. The attribute_20 is 0.31.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.47. The attribute_1 is 0.85. The attribute_2 is 0.21. The attribute_3 is 0.1. The attribute_4 is 0.96. The attribute_5 is 0.29. The attribute_6 is 0.45. The attribute_7 is 0.57. The attribute_8 is 0.27. The attribute_9 is 0.47. The attribute_10 is 0.8. The attribute_11 is 0.75. The attribute_12 is 0.54. The attribute_13 is 0.18. The attribute_14 is 0.26. The attribute_15 is 0.45. The attribute_16 is 0.67. The attribute_17 is 0.4. The attribute_18 is 0.14. The attribute_19 is 0.36. The attribute_20 is 0.99.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.04. The attribute_1 is 0.43. The attribute_2 is 0.44. The attribute_3 is 0.14. The attribute_4 is 0.79. The attribute_5 is 0.15. The attribute_6 is 0.54. The attribute_7 is 0.23. The attribute_8 is 0.58. The attribute_9 is 0.52. The attribute_10 is 0.41. The attribute_11 is 0.42. The attribute_12 is 0.64. The attribute_13 is 0.13. The attribute_14 is 0.74. The attribute_15 is 0.84. The attribute_16 is 0.78. The attribute_17 is 0.41. The attribute_18 is 0.11. The attribute_19 is 0.56. The attribute_20 is 0.39.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.99. The attribute_1 is 0.78. The attribute_2 is 0.24. The attribute_3 is 0.02. The attribute_4 is 0.82. The attribute_5 is 0.67. The attribute_6 is 0.27. The attribute_7 is 0.98. The attribute_8 is 0.19. The attribute_9 is 0.74. The attribute_10 is 0.5. The attribute_11 is 0.44. The attribute_12 is 0.17. The attribute_13 is 0.27. The attribute_14 is 0.41. The attribute_15 is 0.48. The attribute_16 is 0.82. The attribute_17 is 0.31. The attribute_18 is 0.95. The attribute_19 is 0.74. The attribute_20 is 0.59.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.66. The attribute_1 is 0.27. The attribute_2 is 0.27. The attribute_3 is 0.25. The attribute_4 is 0.21. The attribute_5 is 0.38. The attribute_6 is 0.75. The attribute_7 is 0.29. The attribute_8 is 0.25. The attribute_9 is 0.91. The attribute_10 is 0.67. The attribute_11 is 0.7. The attribute_12 is 0.28. The attribute_13 is 0.22. The attribute_14 is 0.04. The attribute_15 is 0.05. The attribute_16 is 0.07. The attribute_17 is 0.05. The attribute_18 is 0.14. The attribute_19 is 0.15. The attribute_20 is 0.63.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.18. The attribute_1 is 0.34. The attribute_2 is 0.52. The attribute_3 is 0.44. The attribute_4 is 0.75. The attribute_5 is 0.49. The attribute_6 is 0.44. The attribute_7 is 0.25. The attribute_8 is 0.58. The attribute_9 is 0.59. The attribute_10 is 0.75. The attribute_11 is 0.14. The attribute_12 is 0.82. The attribute_13 is 0.37. The attribute_14 is 0.75. The attribute_15 is 0.66. The attribute_16 is 0.52. The attribute_17 is 0.42. The attribute_18 is 0.44. The attribute_19 is 0.67. The attribute_20 is 0.36.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.08. The attribute_1 is 0.0. The attribute_2 is 0.21. The attribute_3 is 0.55. The attribute_4 is 0.92. The attribute_5 is 0.73. The attribute_6 is 0.11. The attribute_7 is 0.21. The attribute_8 is 0.28. The attribute_9 is 0.13. The attribute_10 is 0.14. The attribute_11 is 0.09. The attribute_12 is 0.9. The attribute_13 is 0.57. The attribute_14 is 0.93. The attribute_15 is 0.94. The attribute_16 is 0.99. The attribute_17 is 0.14. The attribute_18 is 0.11. The attribute_19 is 0.99. The attribute_20 is 0.15.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.26. The attribute_1 is 0.57. The attribute_2 is 0.46. The attribute_3 is 0.16. The attribute_4 is 0.07. The attribute_5 is 0.17. The attribute_6 is 0.47. The attribute_7 is 0.56. The attribute_8 is 0.47. The attribute_9 is 0.32. The attribute_10 is 0.41. The attribute_11 is 0.44. The attribute_12 is 0.5. The attribute_13 is 0.31. The attribute_14 is 0.47. The attribute_15 is 0.52. The attribute_16 is 0.25. The attribute_17 is 0.58. The attribute_18 is 0.56. The attribute_19 is 0.24. The attribute_20 is 0.61.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.59. The attribute_1 is 0.0. The attribute_2 is 0.15. The attribute_3 is 0.08. The attribute_4 is 0.62. The attribute_5 is 0.25. The attribute_6 is 0.15. The attribute_7 is 0.6. The attribute_8 is 0.26. The attribute_9 is 0.49. The attribute_10 is 0.63. The attribute_11 is 0.02. The attribute_12 is 0.55. The attribute_13 is 0.21. The attribute_14 is 0.44. The attribute_15 is 0.36. The attribute_16 is 0.56. The attribute_17 is 0.19. The attribute_18 is 0.81. The attribute_19 is 0.28. The attribute_20 is 0.4.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.43. The attribute_1 is 0.88. The attribute_2 is 0.88. The attribute_3 is 1.0. The attribute_4 is 0.18. The attribute_5 is 0.93. The attribute_6 is 0.73. The attribute_7 is 0.11. The attribute_8 is 0.88. The attribute_9 is 0.58. The attribute_10 is 0.64. The attribute_11 is 0.91. The attribute_12 is 0.01. The attribute_13 is 1.0. The attribute_14 is 0.08. The attribute_15 is 0.25. The attribute_16 is 0.25. The attribute_17 is 0.76. The attribute_18 is 0.21. The attribute_19 is 0.14. The attribute_20 is 0.91.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.45. The attribute_1 is 0.04. The attribute_2 is 0.08. The attribute_3 is 0.36. The attribute_4 is 0.88. The attribute_5 is 0.14. The attribute_6 is 0.55. The attribute_7 is 0.38. The attribute_8 is 0.52. The attribute_9 is 0.05. The attribute_10 is 0.06. The attribute_11 is 0.84. The attribute_12 is 0.83. The attribute_13 is 0.35. The attribute_14 is 0.94. The attribute_15 is 0.94. The attribute_16 is 1.0. The attribute_17 is 0.12. The attribute_18 is 0.35. The attribute_19 is 0.95. The attribute_20 is 0.04.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.58. The attribute_1 is 0.06. The attribute_2 is 0.06. The attribute_3 is 0.14. The attribute_4 is 0.94. The attribute_5 is 0.01. The attribute_6 is 0.25. The attribute_7 is 0.63. The attribute_8 is 0.55. The attribute_9 is 0.26. The attribute_10 is 0.07. The attribute_11 is 0.11. The attribute_12 is 0.99. The attribute_13 is 0.1. The attribute_14 is 0.79. The attribute_15 is 0.77. The attribute_16 is 0.9. The attribute_17 is 0.01. The attribute_18 is 0.88. The attribute_19 is 0.93. The attribute_20 is 0.07.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.83. The attribute_1 is 0.84. The attribute_2 is 0.89. The attribute_3 is 0.87. The attribute_4 is 0.01. The attribute_5 is 0.68. The attribute_6 is 0.27. The attribute_7 is 0.85. The attribute_8 is 0.64. The attribute_9 is 0.72. The attribute_10 is 0.8. The attribute_11 is 0.37. The attribute_12 is 0.72. The attribute_13 is 0.87. The attribute_14 is 0.73. The attribute_15 is 0.61. The attribute_16 is 0.18. The attribute_17 is 0.78. The attribute_18 is 0.99. The attribute_19 is 0.04. The attribute_20 is 0.57.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.99. The attribute_1 is 0.32. The attribute_2 is 0.01. The attribute_3 is 0.68. The attribute_4 is 0.78. The attribute_5 is 0.98. The attribute_6 is 0.29. The attribute_7 is 0.64. The attribute_8 is 0.02. The attribute_9 is 0.74. The attribute_10 is 0.17. The attribute_11 is 0.46. The attribute_12 is 0.58. The attribute_13 is 0.7. The attribute_14 is 0.57. The attribute_15 is 0.02. The attribute_16 is 0.88. The attribute_17 is 0.17. The attribute_18 is 0.25. The attribute_19 is 0.01. The attribute_20 is 0.34.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.44. The attribute_1 is 0.74. The attribute_2 is 0.45. The attribute_3 is 0.65. The attribute_4 is 0.59. The attribute_5 is 0.31. The attribute_6 is 0.44. The attribute_7 is 0.55. The attribute_8 is 0.38. The attribute_9 is 0.5. The attribute_10 is 0.67. The attribute_11 is 0.39. The attribute_12 is 0.49. The attribute_13 is 0.54. The attribute_14 is 0.48. The attribute_15 is 0.25. The attribute_16 is 0.73. The attribute_17 is 0.66. The attribute_18 is 0.54. The attribute_19 is 0.66. The attribute_20 is 0.74.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.28. The attribute_1 is 0.31. The attribute_2 is 0.41. The attribute_3 is 0.33. The attribute_4 is 0.27. The attribute_5 is 0.41. The attribute_6 is 0.26. The attribute_7 is 0.42. The attribute_8 is 0.53. The attribute_9 is 0.36. The attribute_10 is 0.53. The attribute_11 is 0.1. The attribute_12 is 0.02. The attribute_13 is 0.41. The attribute_14 is 0.0. The attribute_15 is 0.15. The attribute_16 is 0.25. The attribute_17 is 0.45. The attribute_18 is 0.6. The attribute_19 is 0.13. The attribute_20 is 0.46.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.9. The attribute_1 is 0.25. The attribute_2 is 0.28. The attribute_3 is 0.68. The attribute_4 is 0.93. The attribute_5 is 0.75. The attribute_6 is 0.03. The attribute_7 is 0.98. The attribute_8 is 0.11. The attribute_9 is 0.87. The attribute_10 is 0.84. The attribute_11 is 0.09. The attribute_12 is 0.05. The attribute_13 is 0.69. The attribute_14 is 0.22. The attribute_15 is 0.46. The attribute_16 is 0.79. The attribute_17 is 0.15. The attribute_18 is 0.96. The attribute_19 is 0.7. The attribute_20 is 0.73.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.09. The attribute_1 is 0.08. The attribute_2 is 0.43. The attribute_3 is 0.78. The attribute_4 is 0.89. The attribute_5 is 0.98. The attribute_6 is 0.38. The attribute_7 is 0.35. The attribute_8 is 0.69. The attribute_9 is 0.96. The attribute_10 is 0.93. The attribute_11 is 0.03. The attribute_12 is 0.02. The attribute_13 is 0.8. The attribute_14 is 0.39. The attribute_15 is 0.13. The attribute_16 is 0.64. The attribute_17 is 0.59. The attribute_18 is 0.44. The attribute_19 is 0.68. The attribute_20 is 0.99.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.01. The attribute_1 is 0.76. The attribute_2 is 0.67. The attribute_3 is 0.91. The attribute_4 is 0.45. The attribute_5 is 0.94. The attribute_6 is 0.18. The attribute_7 is 0.06. The attribute_8 is 0.53. The attribute_9 is 0.91. The attribute_10 is 0.59. The attribute_11 is 0.11. The attribute_12 is 0.43. The attribute_13 is 0.84. The attribute_14 is 0.38. The attribute_15 is 0.36. The attribute_16 is 0.56. The attribute_17 is 0.73. The attribute_18 is 0.08. The attribute_19 is 0.27. The attribute_20 is 0.78.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.14. The attribute_1 is 0.63. The attribute_2 is 0.51. The attribute_3 is 0.28. The attribute_4 is 0.85. The attribute_5 is 0.14. The attribute_6 is 0.61. The attribute_7 is 0.09. The attribute_8 is 0.42. The attribute_9 is 0.41. The attribute_10 is 0.55. The attribute_11 is 0.64. The attribute_12 is 0.58. The attribute_13 is 0.25. The attribute_14 is 0.63. The attribute_15 is 0.65. The attribute_16 is 0.88. The attribute_17 is 0.65. The attribute_18 is 0.31. The attribute_19 is 0.87. The attribute_20 is 0.63.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.38. The attribute_1 is 0.36. The attribute_2 is 0.32. The attribute_3 is 0.01. The attribute_4 is 0.94. The attribute_5 is 0.07. The attribute_6 is 0.44. The attribute_7 is 0.21. The attribute_8 is 0.33. The attribute_9 is 0.59. The attribute_10 is 0.75. The attribute_11 is 0.56. The attribute_12 is 0.97. The attribute_13 is 0.13. The attribute_14 is 0.8. The attribute_15 is 0.82. The attribute_16 is 0.62. The attribute_17 is 0.4. The attribute_18 is 0.19. The attribute_19 is 0.46. The attribute_20 is 0.48.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.38. The attribute_1 is 0.25. The attribute_2 is 0.44. The attribute_3 is 0.48. The attribute_4 is 0.72. The attribute_5 is 0.52. The attribute_6 is 0.3. The attribute_7 is 0.6. The attribute_8 is 0.64. The attribute_9 is 0.61. The attribute_10 is 0.25. The attribute_11 is 0.18. The attribute_12 is 0.67. The attribute_13 is 0.43. The attribute_14 is 0.67. The attribute_15 is 0.38. The attribute_16 is 0.93. The attribute_17 is 0.36. The attribute_18 is 0.66. The attribute_19 is 0.83. The attribute_20 is 0.16.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.98. The attribute_1 is 0.07. The attribute_2 is 0.04. The attribute_3 is 0.17. The attribute_4 is 0.39. The attribute_5 is 0.04. The attribute_6 is 0.04. The attribute_7 is 0.9. The attribute_8 is 0.0. The attribute_9 is 0.01. The attribute_10 is 0.11. The attribute_11 is 0.07. The attribute_12 is 0.13. The attribute_13 is 0.16. The attribute_14 is 0.02. The attribute_15 is 0.0. The attribute_16 is 0.05. The attribute_17 is 0.0. The attribute_18 is 0.86. The attribute_19 is 0.0. The attribute_20 is 0.33.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.48. The attribute_1 is 0.91. The attribute_2 is 0.94. The attribute_3 is 0.98. The attribute_4 is 0.06. The attribute_5 is 0.9. The attribute_6 is 0.15. The attribute_7 is 0.43. The attribute_8 is 0.11. The attribute_9 is 0.8. The attribute_10 is 0.69. The attribute_11 is 0.22. The attribute_12 is 0.11. The attribute_13 is 0.98. The attribute_14 is 0.02. The attribute_15 is 0.13. The attribute_16 is 0.03. The attribute_17 is 0.93. The attribute_18 is 0.52. The attribute_19 is 0.05. The attribute_20 is 0.74.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.32. The attribute_1 is 0.67. The attribute_2 is 0.8. The attribute_3 is 0.71. The attribute_4 is 0.78. The attribute_5 is 0.58. The attribute_6 is 0.48. The attribute_7 is 0.62. The attribute_8 is 0.68. The attribute_9 is 0.68. The attribute_10 is 0.6. The attribute_11 is 0.35. The attribute_12 is 0.28. The attribute_13 is 0.54. The attribute_14 is 0.26. The attribute_15 is 0.25. The attribute_16 is 0.64. The attribute_17 is 0.76. The attribute_18 is 0.55. The attribute_19 is 0.44. The attribute_20 is 0.47.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.41. The attribute_1 is 0.84. The attribute_2 is 0.69. The attribute_3 is 0.71. The attribute_4 is 0.23. The attribute_5 is 0.82. The attribute_6 is 0.25. The attribute_7 is 0.21. The attribute_8 is 0.12. The attribute_9 is 0.71. The attribute_10 is 0.7. The attribute_11 is 0.22. The attribute_12 is 0.33. The attribute_13 is 0.76. The attribute_14 is 0.49. The attribute_15 is 0.32. The attribute_16 is 0.41. The attribute_17 is 0.82. The attribute_18 is 0.23. The attribute_19 is 0.31. The attribute_20 is 0.86.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.05. The attribute_1 is 0.71. The attribute_2 is 0.86. The attribute_3 is 0.46. The attribute_4 is 0.12. The attribute_5 is 0.77. The attribute_6 is 0.89. The attribute_7 is 0.12. The attribute_8 is 0.95. The attribute_9 is 0.43. The attribute_10 is 0.49. The attribute_11 is 0.73. The attribute_12 is 0.04. The attribute_13 is 0.74. The attribute_14 is 0.07. The attribute_15 is 0.2. The attribute_16 is 0.23. The attribute_17 is 0.93. The attribute_18 is 0.4. The attribute_19 is 0.19. The attribute_20 is 0.46.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.14. The attribute_1 is 0.62. The attribute_2 is 0.82. The attribute_3 is 0.71. The attribute_4 is 0.77. The attribute_5 is 0.82. The attribute_6 is 0.93. The attribute_7 is 0.02. The attribute_8 is 0.94. The attribute_9 is 0.81. The attribute_10 is 0.93. The attribute_11 is 0.87. The attribute_12 is 0.19. The attribute_13 is 0.7. The attribute_14 is 0.49. The attribute_15 is 0.42. The attribute_16 is 0.63. The attribute_17 is 0.71. The attribute_18 is 0.02. The attribute_19 is 0.56. The attribute_20 is 0.92.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.0. The attribute_1 is 1.0. The attribute_2 is 1.0. The attribute_3 is 0.65. The attribute_4 is 0.57. The attribute_5 is 0.78. The attribute_6 is 0.98. The attribute_7 is 0.01. The attribute_8 is 0.96. The attribute_9 is 0.65. The attribute_10 is 0.67. The attribute_11 is 0.94. The attribute_12 is 0.24. The attribute_13 is 0.64. The attribute_14 is 0.46. The attribute_15 is 0.59. The attribute_16 is 0.33. The attribute_17 is 0.99. The attribute_18 is 0.04. The attribute_19 is 0.21. The attribute_20 is 0.58.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.11. The attribute_1 is 0.32. The attribute_2 is 0.78. The attribute_3 is 0.82. The attribute_4 is 0.65. The attribute_5 is 0.9. The attribute_6 is 0.76. The attribute_7 is 0.25. The attribute_8 is 0.91. The attribute_9 is 0.77. The attribute_10 is 0.92. The attribute_11 is 0.64. The attribute_12 is 0.81. The attribute_13 is 0.82. The attribute_14 is 0.48. The attribute_15 is 0.59. The attribute_16 is 0.72. The attribute_17 is 0.75. The attribute_18 is 0.45. The attribute_19 is 0.6. The attribute_20 is 0.82.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.89. The attribute_1 is 0.31. The attribute_2 is 0.22. The attribute_3 is 0.11. The attribute_4 is 0.98. The attribute_5 is 0.46. The attribute_6 is 0.03. The attribute_7 is 0.88. The attribute_8 is 0.12. The attribute_9 is 0.26. The attribute_10 is 0.19. The attribute_11 is 0.07. The attribute_12 is 0.53. The attribute_13 is 0.25. The attribute_14 is 0.61. The attribute_15 is 0.66. The attribute_16 is 0.52. The attribute_17 is 0.09. The attribute_18 is 0.88. The attribute_19 is 0.39. The attribute_20 is 0.4.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.98. The attribute_1 is 0.84. The attribute_2 is 0.31. The attribute_3 is 0.84. The attribute_4 is 0.27. The attribute_5 is 0.8. The attribute_6 is 0.37. The attribute_7 is 0.42. The attribute_8 is 0.0. The attribute_9 is 0.79. The attribute_10 is 0.76. The attribute_11 is 0.32. The attribute_12 is 0.2. The attribute_13 is 0.82. The attribute_14 is 0.11. The attribute_15 is 0.09. The attribute_16 is 0.07. The attribute_17 is 0.68. The attribute_18 is 0.34. The attribute_19 is 0.0. The attribute_20 is 0.92.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.12. The attribute_1 is 0.87. The attribute_2 is 0.91. The attribute_3 is 0.8. The attribute_4 is 0.22. The attribute_5 is 0.95. The attribute_6 is 0.92. The attribute_7 is 0.14. The attribute_8 is 0.9. The attribute_9 is 0.32. The attribute_10 is 0.52. The attribute_11 is 0.91. The attribute_12 is 0.13. The attribute_13 is 0.8. The attribute_14 is 0.08. The attribute_15 is 0.03. The attribute_16 is 0.2. The attribute_17 is 0.92. The attribute_18 is 0.11. The attribute_19 is 0.21. The attribute_20 is 0.33.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.86. The attribute_1 is 0.05. The attribute_2 is 0.23. The attribute_3 is 0.21. The attribute_4 is 0.3. The attribute_5 is 0.16. The attribute_6 is 0.0. The attribute_7 is 0.9. The attribute_8 is 0.11. The attribute_9 is 0.53. The attribute_10 is 0.21. The attribute_11 is 0.11. The attribute_12 is 0.97. The attribute_13 is 0.09. The attribute_14 is 0.93. The attribute_15 is 1.0. The attribute_16 is 0.67. The attribute_17 is 0.02. The attribute_18 is 0.98. The attribute_19 is 0.54. The attribute_20 is 0.23.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.47. The attribute_1 is 0.75. The attribute_2 is 0.71. The attribute_3 is 0.65. The attribute_4 is 0.73. The attribute_5 is 0.81. The attribute_6 is 0.42. The attribute_7 is 0.56. The attribute_8 is 0.7. The attribute_9 is 0.45. The attribute_10 is 0.67. The attribute_11 is 0.42. The attribute_12 is 0.59. The attribute_13 is 0.62. The attribute_14 is 0.49. The attribute_15 is 0.49. The attribute_16 is 0.89. The attribute_17 is 0.7. The attribute_18 is 0.54. The attribute_19 is 0.88. The attribute_20 is 0.76.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.68. The attribute_1 is 0.16. The attribute_2 is 0.11. The attribute_3 is 0.15. The attribute_4 is 0.4. The attribute_5 is 0.09. The attribute_6 is 0.28. The attribute_7 is 0.63. The attribute_8 is 0.36. The attribute_9 is 0.17. The attribute_10 is 0.49. The attribute_11 is 0.51. The attribute_12 is 0.66. The attribute_13 is 0.21. The attribute_14 is 0.67. The attribute_15 is 0.63. The attribute_16 is 0.18. The attribute_17 is 0.14. The attribute_18 is 0.51. The attribute_19 is 0.17. The attribute_20 is 0.62.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.82. The attribute_1 is 0.49. The attribute_2 is 0.71. The attribute_3 is 0.48. The attribute_4 is 0.0. The attribute_5 is 0.05. The attribute_6 is 0.24. The attribute_7 is 0.81. The attribute_8 is 0.52. The attribute_9 is 0.18. The attribute_10 is 0.11. The attribute_11 is 0.49. The attribute_12 is 0.06. The attribute_13 is 0.22. The attribute_14 is 0.63. The attribute_15 is 0.85. The attribute_16 is 0.7. The attribute_17 is 0.29. The attribute_18 is 0.11. The attribute_19 is 0.94. The attribute_20 is 0.39.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.65. The attribute_1 is 0.51. The attribute_2 is 0.31. The attribute_3 is 0.2. The attribute_4 is 0.22. The attribute_5 is 0.24. The attribute_6 is 0.19. The attribute_7 is 0.73. The attribute_8 is 0.42. The attribute_9 is 0.27. The attribute_10 is 0.53. The attribute_11 is 0.17. The attribute_12 is 0.18. The attribute_13 is 0.11. The attribute_14 is 0.2. The attribute_15 is 0.22. The attribute_16 is 0.3. The attribute_17 is 0.29. The attribute_18 is 0.75. The attribute_19 is 0.21. The attribute_20 is 0.61.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.86. The attribute_1 is 0.29. The attribute_2 is 0.28. The attribute_3 is 0.05. The attribute_4 is 0.69. The attribute_5 is 0.01. The attribute_6 is 0.4. The attribute_7 is 0.89. The attribute_8 is 0.29. The attribute_9 is 0.82. The attribute_10 is 0.92. The attribute_11 is 0.18. The attribute_12 is 0.36. The attribute_13 is 0.07. The attribute_14 is 0.29. The attribute_15 is 0.5. The attribute_16 is 0.7. The attribute_17 is 0.47. The attribute_18 is 0.86. The attribute_19 is 0.61. The attribute_20 is 0.89.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.84. The attribute_1 is 0.9. The attribute_2 is 0.98. The attribute_3 is 0.95. The attribute_4 is 0.0. The attribute_5 is 0.92. The attribute_6 is 0.02. The attribute_7 is 0.97. The attribute_8 is 0.01. The attribute_9 is 0.67. The attribute_10 is 0.74. The attribute_11 is 0.02. The attribute_12 is 0.03. The attribute_13 is 0.82. The attribute_14 is 0.13. The attribute_15 is 0.22. The attribute_16 is 0.15. The attribute_17 is 0.99. The attribute_18 is 0.95. The attribute_19 is 0.17. The attribute_20 is 0.71.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.34. The attribute_1 is 0.84. The attribute_2 is 0.71. The attribute_3 is 0.9. The attribute_4 is 0.61. The attribute_5 is 0.77. The attribute_6 is 0.85. The attribute_7 is 0.02. The attribute_8 is 0.73. The attribute_9 is 1.0. The attribute_10 is 0.59. The attribute_11 is 0.79. The attribute_12 is 0.49. The attribute_13 is 0.89. The attribute_14 is 0.13. The attribute_15 is 0.26. The attribute_16 is 0.36. The attribute_17 is 0.71. The attribute_18 is 0.08. The attribute_19 is 0.4. The attribute_20 is 0.34.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.47. The attribute_1 is 0.71. The attribute_2 is 0.77. The attribute_3 is 0.89. The attribute_4 is 0.17. The attribute_5 is 0.9. The attribute_6 is 0.48. The attribute_7 is 0.3. The attribute_8 is 0.33. The attribute_9 is 0.95. The attribute_10 is 0.99. The attribute_11 is 0.62. The attribute_12 is 0.29. The attribute_13 is 0.94. The attribute_14 is 0.12. The attribute_15 is 0.17. The attribute_16 is 0.25. The attribute_17 is 0.95. The attribute_18 is 0.18. The attribute_19 is 0.57. The attribute_20 is 0.99.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.02. The attribute_1 is 1.0. The attribute_2 is 0.91. The attribute_3 is 0.98. The attribute_4 is 0.93. The attribute_5 is 0.87. The attribute_6 is 0.97. The attribute_7 is 0.02. The attribute_8 is 0.86. The attribute_9 is 0.44. The attribute_10 is 0.8. The attribute_11 is 0.89. The attribute_12 is 0.05. The attribute_13 is 0.95. The attribute_14 is 0.49. The attribute_15 is 0.2. The attribute_16 is 0.95. The attribute_17 is 0.97. The attribute_18 is 0.02. The attribute_19 is 0.93. The attribute_20 is 0.11.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.1. The attribute_1 is 0.55. The attribute_2 is 0.9. The attribute_3 is 0.87. The attribute_4 is 0.33. The attribute_5 is 0.77. The attribute_6 is 0.53. The attribute_7 is 0.05. The attribute_8 is 0.66. The attribute_9 is 0.44. The attribute_10 is 0.81. The attribute_11 is 0.4. The attribute_12 is 0.29. The attribute_13 is 0.84. The attribute_14 is 0.1. The attribute_15 is 0.38. The attribute_16 is 0.21. The attribute_17 is 0.65. The attribute_18 is 0.3. The attribute_19 is 0.17. The attribute_20 is 0.42.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.79. The attribute_1 is 0.95. The attribute_2 is 0.51. The attribute_3 is 0.18. The attribute_4 is 0.77. The attribute_5 is 0.75. The attribute_6 is 0.47. The attribute_7 is 0.58. The attribute_8 is 0.29. The attribute_9 is 0.22. The attribute_10 is 0.39. The attribute_11 is 0.99. The attribute_12 is 0.2. The attribute_13 is 0.39. The attribute_14 is 0.77. The attribute_15 is 0.85. The attribute_16 is 0.91. The attribute_17 is 0.68. The attribute_18 is 0.19. The attribute_19 is 0.99. The attribute_20 is 0.82.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.78. The attribute_1 is 0.85. The attribute_2 is 0.31. The attribute_3 is 0.19. The attribute_4 is 0.86. The attribute_5 is 0.37. The attribute_6 is 0.12. The attribute_7 is 0.74. The attribute_8 is 0.19. The attribute_9 is 0.14. The attribute_10 is 0.54. The attribute_11 is 0.04. The attribute_12 is 0.76. The attribute_13 is 0.34. The attribute_14 is 0.65. The attribute_15 is 0.72. The attribute_16 is 0.58. The attribute_17 is 0.54. The attribute_18 is 0.85. The attribute_19 is 0.58. The attribute_20 is 0.44.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.82. The attribute_1 is 0.53. The attribute_2 is 0.62. The attribute_3 is 0.3. The attribute_4 is 0.55. The attribute_5 is 0.21. The attribute_6 is 0.38. The attribute_7 is 0.73. The attribute_8 is 0.39. The attribute_9 is 0.71. The attribute_10 is 0.86. The attribute_11 is 0.46. The attribute_12 is 0.97. The attribute_13 is 0.33. The attribute_14 is 0.94. The attribute_15 is 0.99. The attribute_16 is 0.54. The attribute_17 is 0.71. The attribute_18 is 0.76. The attribute_19 is 0.4. The attribute_20 is 0.78.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.52. The attribute_1 is 0.19. The attribute_2 is 0.83. The attribute_3 is 0.77. The attribute_4 is 0.21. The attribute_5 is 0.83. The attribute_6 is 0.95. The attribute_7 is 0.47. The attribute_8 is 0.99. The attribute_9 is 0.46. The attribute_10 is 0.33. The attribute_11 is 0.82. The attribute_12 is 0.55. The attribute_13 is 0.66. The attribute_14 is 0.26. The attribute_15 is 0.44. The attribute_16 is 0.14. The attribute_17 is 0.95. The attribute_18 is 0.76. The attribute_19 is 0.13. The attribute_20 is 0.11.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.38. The attribute_1 is 0.16. The attribute_2 is 0.37. The attribute_3 is 0.42. The attribute_4 is 0.37. The attribute_5 is 0.39. The attribute_6 is 0.75. The attribute_7 is 0.19. The attribute_8 is 0.66. The attribute_9 is 0.28. The attribute_10 is 0.38. The attribute_11 is 0.52. The attribute_12 is 0.03. The attribute_13 is 0.54. The attribute_14 is 0.23. The attribute_15 is 0.17. The attribute_16 is 0.46. The attribute_17 is 0.37. The attribute_18 is 0.64. The attribute_19 is 0.42. The attribute_20 is 0.22.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.14. The attribute_1 is 0.88. The attribute_2 is 0.91. The attribute_3 is 0.78. The attribute_4 is 0.51. The attribute_5 is 0.86. The attribute_6 is 0.91. The attribute_7 is 0.24. The attribute_8 is 0.93. The attribute_9 is 0.39. The attribute_10 is 0.19. The attribute_11 is 0.76. The attribute_12 is 0.02. The attribute_13 is 0.82. The attribute_14 is 0.03. The attribute_15 is 0.04. The attribute_16 is 0.56. The attribute_17 is 0.99. The attribute_18 is 0.05. The attribute_19 is 0.43. The attribute_20 is 0.08.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.06. The attribute_1 is 0.37. The attribute_2 is 0.39. The attribute_3 is 0.82. The attribute_4 is 0.24. The attribute_5 is 0.9. The attribute_6 is 0.49. The attribute_7 is 0.26. The attribute_8 is 0.42. The attribute_9 is 0.65. The attribute_10 is 0.33. The attribute_11 is 0.51. The attribute_12 is 0.03. The attribute_13 is 0.88. The attribute_14 is 0.04. The attribute_15 is 0.15. The attribute_16 is 0.17. The attribute_17 is 0.41. The attribute_18 is 0.32. The attribute_19 is 0.24. The attribute_20 is 0.33.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.67. The attribute_1 is 0.15. The attribute_2 is 0.21. The attribute_3 is 0.39. The attribute_4 is 0.78. The attribute_5 is 0.83. The attribute_6 is 0.75. The attribute_7 is 0.2. The attribute_8 is 0.24. The attribute_9 is 0.32. The attribute_10 is 0.62. The attribute_11 is 0.74. The attribute_12 is 0.48. The attribute_13 is 0.79. The attribute_14 is 0.48. The attribute_15 is 0.34. The attribute_16 is 0.79. The attribute_17 is 0.58. The attribute_18 is 0.27. The attribute_19 is 0.66. The attribute_20 is 0.27.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.28. The attribute_1 is 0.7. The attribute_2 is 0.7. The attribute_3 is 0.56. The attribute_4 is 0.7. The attribute_5 is 0.23. The attribute_6 is 0.63. The attribute_7 is 0.65. The attribute_8 is 0.69. The attribute_9 is 0.21. The attribute_10 is 0.46. The attribute_11 is 0.74. The attribute_12 is 0.76. The attribute_13 is 0.18. The attribute_14 is 0.61. The attribute_15 is 0.42. The attribute_16 is 0.92. The attribute_17 is 0.66. The attribute_18 is 0.67. The attribute_19 is 0.8. The attribute_20 is 0.58.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.25. The attribute_1 is 0.46. The attribute_2 is 0.51. The attribute_3 is 0.54. The attribute_4 is 0.94. The attribute_5 is 0.26. The attribute_6 is 0.32. The attribute_7 is 0.36. The attribute_8 is 0.51. The attribute_9 is 0.21. The attribute_10 is 0.14. The attribute_11 is 0.17. The attribute_12 is 0.59. The attribute_13 is 0.26. The attribute_14 is 0.54. The attribute_15 is 0.32. The attribute_16 is 0.8. The attribute_17 is 0.42. The attribute_18 is 0.34. The attribute_19 is 0.74. The attribute_20 is 0.22.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.83. The attribute_1 is 0.84. The attribute_2 is 0.4. The attribute_3 is 0.06. The attribute_4 is 0.87. The attribute_5 is 0.27. The attribute_6 is 0.78. The attribute_7 is 0.51. The attribute_8 is 0.84. The attribute_9 is 0.34. The attribute_10 is 0.39. The attribute_11 is 0.94. The attribute_12 is 0.23. The attribute_13 is 0.1. The attribute_14 is 0.53. The attribute_15 is 0.55. The attribute_16 is 0.84. The attribute_17 is 0.84. The attribute_18 is 0.54. The attribute_19 is 0.93. The attribute_20 is 0.35.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.71. The attribute_1 is 0.31. The attribute_2 is 0.26. The attribute_3 is 0.06. The attribute_4 is 0.5. The attribute_5 is 0.19. The attribute_6 is 0.07. The attribute_7 is 0.86. The attribute_8 is 0.14. The attribute_9 is 0.69. The attribute_10 is 0.44. The attribute_11 is 0.1. The attribute_12 is 0.95. The attribute_13 is 0.05. The attribute_14 is 0.73. The attribute_15 is 0.91. The attribute_16 is 0.26. The attribute_17 is 0.11. The attribute_18 is 0.81. The attribute_19 is 0.38. The attribute_20 is 0.38.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.47. The attribute_1 is 0.07. The attribute_2 is 0.0. The attribute_3 is 0.17. The attribute_4 is 0.59. The attribute_5 is 0.11. The attribute_6 is 0.02. The attribute_7 is 0.79. The attribute_8 is 0.04. The attribute_9 is 0.74. The attribute_10 is 0.93. The attribute_11 is 0.01. The attribute_12 is 1.0. The attribute_13 is 0.07. The attribute_14 is 0.98. The attribute_15 is 0.99. The attribute_16 is 0.77. The attribute_17 is 0.0. The attribute_18 is 0.94. The attribute_19 is 0.79. The attribute_20 is 0.76.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.38. The attribute_1 is 0.76. The attribute_2 is 0.77. The attribute_3 is 0.7. The attribute_4 is 0.31. The attribute_5 is 0.26. The attribute_6 is 0.76. The attribute_7 is 0.51. The attribute_8 is 0.69. The attribute_9 is 0.8. The attribute_10 is 0.82. The attribute_11 is 0.53. The attribute_12 is 0.86. The attribute_13 is 0.62. The attribute_14 is 0.61. The attribute_15 is 0.47. The attribute_16 is 0.37. The attribute_17 is 0.81. The attribute_18 is 0.77. The attribute_19 is 0.21. The attribute_20 is 0.82.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.54. The attribute_1 is 0.09. The attribute_2 is 0.05. The attribute_3 is 0.5. The attribute_4 is 0.02. The attribute_5 is 0.77. The attribute_6 is 0.01. The attribute_7 is 1.0. The attribute_8 is 0.51. The attribute_9 is 0.11. The attribute_10 is 0.13. The attribute_11 is 0.08. The attribute_12 is 0.51. The attribute_13 is 0.69. The attribute_14 is 0.41. The attribute_15 is 0.53. The attribute_16 is 0.18. The attribute_17 is 0.02. The attribute_18 is 0.95. The attribute_19 is 0.26. The attribute_20 is 0.17.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.48. The attribute_1 is 0.45. The attribute_2 is 0.89. The attribute_3 is 0.75. The attribute_4 is 0.47. The attribute_5 is 0.14. The attribute_6 is 0.29. The attribute_7 is 0.65. The attribute_8 is 0.51. The attribute_9 is 0.61. The attribute_10 is 0.33. The attribute_11 is 0.14. The attribute_12 is 0.67. The attribute_13 is 0.78. The attribute_14 is 0.46. The attribute_15 is 0.44. The attribute_16 is 0.2. The attribute_17 is 0.87. The attribute_18 is 0.98. The attribute_19 is 0.63. The attribute_20 is 0.35.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.94. The attribute_1 is 0.6. The attribute_2 is 0.59. The attribute_3 is 0.7. The attribute_4 is 0.26. The attribute_5 is 0.85. The attribute_6 is 0.6. The attribute_7 is 0.71. The attribute_8 is 0.72. The attribute_9 is 0.58. The attribute_10 is 0.6. The attribute_11 is 0.33. The attribute_12 is 0.11. The attribute_13 is 0.65. The attribute_14 is 0.03. The attribute_15 is 0.0. The attribute_16 is 0.34. The attribute_17 is 0.57. The attribute_18 is 0.44. The attribute_19 is 0.42. The attribute_20 is 0.98.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.65. The attribute_1 is 0.06. The attribute_2 is 0.15. The attribute_3 is 0.39. The attribute_4 is 0.42. The attribute_5 is 0.54. The attribute_6 is 0.12. The attribute_7 is 0.76. The attribute_8 is 0.22. The attribute_9 is 0.07. The attribute_10 is 0.05. The attribute_11 is 0.13. The attribute_12 is 0.16. The attribute_13 is 0.88. The attribute_14 is 0.24. The attribute_15 is 0.75. The attribute_16 is 0.53. The attribute_17 is 0.05. The attribute_18 is 0.48. The attribute_19 is 0.8. The attribute_20 is 0.19.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.76. The attribute_1 is 0.88. The attribute_2 is 0.91. The attribute_3 is 0.76. The attribute_4 is 0.32. The attribute_5 is 0.91. The attribute_6 is 0.93. The attribute_7 is 0.56. The attribute_8 is 0.69. The attribute_9 is 0.92. The attribute_10 is 0.96. The attribute_11 is 0.79. The attribute_12 is 0.34. The attribute_13 is 0.92. The attribute_14 is 0.38. The attribute_15 is 0.22. The attribute_16 is 0.58. The attribute_17 is 0.98. The attribute_18 is 0.47. The attribute_19 is 0.24. The attribute_20 is 0.72.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.59. The attribute_1 is 0.42. The attribute_2 is 0.71. The attribute_3 is 0.45. The attribute_4 is 0.37. The attribute_5 is 0.46. The attribute_6 is 0.3. The attribute_7 is 0.89. The attribute_8 is 0.79. The attribute_9 is 0.57. The attribute_10 is 0.67. The attribute_11 is 0.58. The attribute_12 is 0.43. The attribute_13 is 0.19. The attribute_14 is 0.76. The attribute_15 is 0.11. The attribute_16 is 0.66. The attribute_17 is 0.41. The attribute_18 is 0.92. The attribute_19 is 0.53. The attribute_20 is 0.61.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.25. The attribute_1 is 0.75. The attribute_2 is 0.78. The attribute_3 is 0.76. The attribute_4 is 0.66. The attribute_5 is 0.86. The attribute_6 is 0.75. The attribute_7 is 0.11. The attribute_8 is 0.69. The attribute_9 is 0.78. The attribute_10 is 0.81. The attribute_11 is 0.64. The attribute_12 is 0.69. The attribute_13 is 0.87. The attribute_14 is 0.83. The attribute_15 is 0.91. The attribute_16 is 0.78. The attribute_17 is 0.93. The attribute_18 is 0.44. The attribute_19 is 0.76. The attribute_20 is 0.85.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.23. The attribute_1 is 0.62. The attribute_2 is 0.6. The attribute_3 is 0.38. The attribute_4 is 0.59. The attribute_5 is 0.66. The attribute_6 is 0.95. The attribute_7 is 0.13. The attribute_8 is 0.96. The attribute_9 is 0.56. The attribute_10 is 0.64. The attribute_11 is 0.86. The attribute_12 is 0.84. The attribute_13 is 0.59. The attribute_14 is 0.85. The attribute_15 is 0.88. The attribute_16 is 0.51. The attribute_17 is 0.55. The attribute_18 is 0.05. The attribute_19 is 0.23. The attribute_20 is 0.54.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.83. The attribute_1 is 0.24. The attribute_2 is 0.01. The attribute_3 is 0.02. The attribute_4 is 0.37. The attribute_5 is 0.45. The attribute_6 is 0.22. The attribute_7 is 0.89. The attribute_8 is 0.79. The attribute_9 is 0.97. The attribute_10 is 0.64. The attribute_11 is 0.15. The attribute_12 is 0.86. The attribute_13 is 0.42. The attribute_14 is 0.93. The attribute_15 is 0.96. The attribute_16 is 0.34. The attribute_17 is 0.15. The attribute_18 is 0.84. The attribute_19 is 0.53. The attribute_20 is 0.53.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.44. The attribute_1 is 0.23. The attribute_2 is 0.36. The attribute_3 is 0.26. The attribute_4 is 0.44. The attribute_5 is 0.21. The attribute_6 is 0.5. The attribute_7 is 0.59. The attribute_8 is 0.52. The attribute_9 is 0.28. The attribute_10 is 0.05. The attribute_11 is 0.4. The attribute_12 is 0.05. The attribute_13 is 0.33. The attribute_14 is 0.19. The attribute_15 is 0.04. The attribute_16 is 0.45. The attribute_17 is 0.47. The attribute_18 is 0.84. The attribute_19 is 0.24. The attribute_20 is 0.2.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.7. The attribute_1 is 0.62. The attribute_2 is 0.69. The attribute_3 is 0.92. The attribute_4 is 0.21. The attribute_5 is 0.78. The attribute_6 is 0.39. The attribute_7 is 0.69. The attribute_8 is 0.44. The attribute_9 is 0.78. The attribute_10 is 0.81. The attribute_11 is 0.54. The attribute_12 is 0.22. The attribute_13 is 0.94. The attribute_14 is 0.21. The attribute_15 is 0.32. The attribute_16 is 0.17. The attribute_17 is 0.61. The attribute_18 is 0.64. The attribute_19 is 0.25. The attribute_20 is 0.54.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.99. The attribute_1 is 0.0. The attribute_2 is 0.08. The attribute_3 is 0.12. The attribute_4 is 0.45. The attribute_5 is 0.52. The attribute_6 is 0.05. The attribute_7 is 0.85. The attribute_8 is 0.02. The attribute_9 is 0.27. The attribute_10 is 0.08. The attribute_11 is 0.13. The attribute_12 is 0.27. The attribute_13 is 0.25. The attribute_14 is 0.04. The attribute_15 is 0.04. The attribute_16 is 0.17. The attribute_17 is 0.03. The attribute_18 is 0.69. The attribute_19 is 0.18. The attribute_20 is 0.09.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.95. The attribute_1 is 0.39. The attribute_2 is 0.29. The attribute_3 is 0.09. The attribute_4 is 0.99. The attribute_5 is 0.02. The attribute_6 is 0.07. The attribute_7 is 0.96. The attribute_8 is 0.38. The attribute_9 is 0.22. The attribute_10 is 0.38. The attribute_11 is 0.07. The attribute_12 is 0.89. The attribute_13 is 0.02. The attribute_14 is 0.82. The attribute_15 is 0.81. The attribute_16 is 0.97. The attribute_17 is 0.14. The attribute_18 is 0.9. The attribute_19 is 0.95. The attribute_20 is 0.5.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.69. The attribute_1 is 0.29. The attribute_2 is 0.28. The attribute_3 is 0.15. The attribute_4 is 0.15. The attribute_5 is 0.13. The attribute_6 is 0.19. The attribute_7 is 0.73. The attribute_8 is 0.32. The attribute_9 is 0.27. The attribute_10 is 0.41. The attribute_11 is 0.14. The attribute_12 is 0.29. The attribute_13 is 0.17. The attribute_14 is 0.36. The attribute_15 is 0.22. The attribute_16 is 0.32. The attribute_17 is 0.25. The attribute_18 is 0.82. The attribute_19 is 0.41. The attribute_20 is 0.54.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.68. The attribute_1 is 0.47. The attribute_2 is 0.92. The attribute_3 is 0.28. The attribute_4 is 0.27. The attribute_5 is 0.24. The attribute_6 is 0.37. The attribute_7 is 0.58. The attribute_8 is 0.9. The attribute_9 is 0.92. The attribute_10 is 0.73. The attribute_11 is 0.53. The attribute_12 is 0.16. The attribute_13 is 0.06. The attribute_14 is 0.55. The attribute_15 is 0.04. The attribute_16 is 0.2. The attribute_17 is 0.62. The attribute_18 is 0.34. The attribute_19 is 0.01. The attribute_20 is 0.66.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.59. The attribute_1 is 0.26. The attribute_2 is 0.69. The attribute_3 is 0.7. The attribute_4 is 0.23. The attribute_5 is 0.71. The attribute_6 is 0.29. The attribute_7 is 0.64. The attribute_8 is 0.69. The attribute_9 is 0.21. The attribute_10 is 0.53. The attribute_11 is 0.09. The attribute_12 is 0.0. The attribute_13 is 0.9. The attribute_14 is 0.09. The attribute_15 is 0.29. The attribute_16 is 0.18. The attribute_17 is 0.36. The attribute_18 is 0.71. The attribute_19 is 0.24. The attribute_20 is 0.19.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.93. The attribute_1 is 0.44. The attribute_2 is 0.18. The attribute_3 is 0.02. The attribute_4 is 0.22. The attribute_5 is 0.24. The attribute_6 is 0.66. The attribute_7 is 0.75. The attribute_8 is 0.91. The attribute_9 is 0.43. The attribute_10 is 0.64. The attribute_11 is 0.94. The attribute_12 is 0.94. The attribute_13 is 0.08. The attribute_14 is 0.93. The attribute_15 is 0.63. The attribute_16 is 0.23. The attribute_17 is 0.31. The attribute_18 is 0.38. The attribute_19 is 0.31. The attribute_20 is 0.56.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.66. The attribute_1 is 0.42. The attribute_2 is 0.4. The attribute_3 is 0.16. The attribute_4 is 0.27. The attribute_5 is 0.19. The attribute_6 is 0.4. The attribute_7 is 0.59. The attribute_8 is 0.38. The attribute_9 is 0.36. The attribute_10 is 0.36. The attribute_11 is 0.33. The attribute_12 is 0.61. The attribute_13 is 0.44. The attribute_14 is 0.43. The attribute_15 is 0.7. The attribute_16 is 0.29. The attribute_17 is 0.49. The attribute_18 is 0.55. The attribute_19 is 0.49. The attribute_20 is 0.66.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.92. The attribute_1 is 0.08. The attribute_2 is 0.0. The attribute_3 is 0.92. The attribute_4 is 0.25. The attribute_5 is 1.0. The attribute_6 is 0.12. The attribute_7 is 0.51. The attribute_8 is 0.04. The attribute_9 is 0.64. The attribute_10 is 0.3. The attribute_11 is 0.1. The attribute_12 is 0.31. The attribute_13 is 0.85. The attribute_14 is 0.17. The attribute_15 is 0.47. The attribute_16 is 0.49. The attribute_17 is 0.07. The attribute_18 is 0.66. The attribute_19 is 0.59. The attribute_20 is 0.74.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.33. The attribute_1 is 0.32. The attribute_2 is 0.53. The attribute_3 is 0.58. The attribute_4 is 0.33. The attribute_5 is 0.57. The attribute_6 is 0.52. The attribute_7 is 0.42. The attribute_8 is 0.64. The attribute_9 is 0.45. The attribute_10 is 0.54. The attribute_11 is 0.54. The attribute_12 is 0.67. The attribute_13 is 0.63. The attribute_14 is 0.58. The attribute_15 is 0.83. The attribute_16 is 0.46. The attribute_17 is 0.45. The attribute_18 is 0.44. The attribute_19 is 0.8. The attribute_20 is 0.57.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.62. The attribute_1 is 0.75. The attribute_2 is 0.82. The attribute_3 is 0.05. The attribute_4 is 0.77. The attribute_5 is 0.35. The attribute_6 is 0.95. The attribute_7 is 0.4. The attribute_8 is 0.99. The attribute_9 is 0.46. The attribute_10 is 0.59. The attribute_11 is 0.76. The attribute_12 is 0.94. The attribute_13 is 0.32. The attribute_14 is 0.74. The attribute_15 is 0.97. The attribute_16 is 0.97. The attribute_17 is 0.85. The attribute_18 is 0.44. The attribute_19 is 1.0. The attribute_20 is 0.65.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.97. The attribute_1 is 0.12. The attribute_2 is 0.03. The attribute_3 is 0.94. The attribute_4 is 0.99. The attribute_5 is 0.13. The attribute_6 is 0.0. The attribute_7 is 0.98. The attribute_8 is 0.04. The attribute_9 is 0.27. The attribute_10 is 0.14. The attribute_11 is 0.04. The attribute_12 is 0.11. The attribute_13 is 0.54. The attribute_14 is 0.07. The attribute_15 is 0.1. The attribute_16 is 1.0. The attribute_17 is 0.0. The attribute_18 is 0.88. The attribute_19 is 0.97. The attribute_20 is 0.34.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.82. The attribute_1 is 0.82. The attribute_2 is 0.71. The attribute_3 is 0.78. The attribute_4 is 0.23. The attribute_5 is 0.39. The attribute_6 is 0.27. The attribute_7 is 0.65. The attribute_8 is 0.38. The attribute_9 is 0.4. The attribute_10 is 0.22. The attribute_11 is 0.51. The attribute_12 is 0.51. The attribute_13 is 0.52. The attribute_14 is 0.49. The attribute_15 is 0.48. The attribute_16 is 0.13. The attribute_17 is 0.42. The attribute_18 is 0.54. The attribute_19 is 0.16. The attribute_20 is 0.85.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.28. The attribute_1 is 0.88. The attribute_2 is 1.0. The attribute_3 is 0.86. The attribute_4 is 0.05. The attribute_5 is 0.56. The attribute_6 is 0.85. The attribute_7 is 0.24. The attribute_8 is 0.93. The attribute_9 is 0.94. The attribute_10 is 0.98. The attribute_11 is 0.97. The attribute_12 is 0.8. The attribute_13 is 0.51. The attribute_14 is 0.65. The attribute_15 is 0.19. The attribute_16 is 0.2. The attribute_17 is 0.92. The attribute_18 is 0.29. The attribute_19 is 0.25. The attribute_20 is 0.86.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.34. The attribute_1 is 0.22. The attribute_2 is 0.09. The attribute_3 is 0.0. The attribute_4 is 0.87. The attribute_5 is 0.04. The attribute_6 is 0.32. The attribute_7 is 0.52. The attribute_8 is 0.54. The attribute_9 is 0.2. The attribute_10 is 0.31. The attribute_11 is 0.25. The attribute_12 is 0.94. The attribute_13 is 0.02. The attribute_14 is 0.93. The attribute_15 is 0.91. The attribute_16 is 0.89. The attribute_17 is 0.31. The attribute_18 is 0.82. The attribute_19 is 0.94. The attribute_20 is 0.21.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.6. The attribute_1 is 0.15. The attribute_2 is 0.29. The attribute_3 is 0.05. The attribute_4 is 0.63. The attribute_5 is 0.06. The attribute_6 is 0.08. The attribute_7 is 0.8. The attribute_8 is 0.15. The attribute_9 is 0.42. The attribute_10 is 0.35. The attribute_11 is 0.06. The attribute_12 is 0.16. The attribute_13 is 0.04. The attribute_14 is 0.29. The attribute_15 is 0.29. The attribute_16 is 0.56. The attribute_17 is 0.21. The attribute_18 is 0.81. The attribute_19 is 0.43. The attribute_20 is 0.17.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.55. The attribute_1 is 0.4. The attribute_2 is 0.33. The attribute_3 is 0.43. The attribute_4 is 0.96. The attribute_5 is 0.63. The attribute_6 is 0.67. The attribute_7 is 0.46. The attribute_8 is 0.3. The attribute_9 is 0.4. The attribute_10 is 0.34. The attribute_11 is 0.6. The attribute_12 is 0.99. The attribute_13 is 0.7. The attribute_14 is 0.98. The attribute_15 is 0.99. The attribute_16 is 0.97. The attribute_17 is 0.59. The attribute_18 is 0.55. The attribute_19 is 0.87. The attribute_20 is 0.35.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.52. The attribute_1 is 0.42. The attribute_2 is 0.42. The attribute_3 is 0.55. The attribute_4 is 0.71. The attribute_5 is 0.9. The attribute_6 is 0.72. The attribute_7 is 0.42. The attribute_8 is 0.66. The attribute_9 is 0.18. The attribute_10 is 0.14. The attribute_11 is 0.98. The attribute_12 is 0.7. The attribute_13 is 0.62. The attribute_14 is 0.65. The attribute_15 is 0.71. The attribute_16 is 0.68. The attribute_17 is 0.25. The attribute_18 is 0.45. The attribute_19 is 0.72. The attribute_20 is 0.09.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.97. The attribute_1 is 0.09. The attribute_2 is 0.01. The attribute_3 is 0.35. The attribute_4 is 0.08. The attribute_5 is 0.05. The attribute_6 is 0.03. The attribute_7 is 0.95. The attribute_8 is 0.02. The attribute_9 is 0.07. The attribute_10 is 0.32. The attribute_11 is 0.05. The attribute_12 is 0.33. The attribute_13 is 0.13. The attribute_14 is 0.93. The attribute_15 is 0.77. The attribute_16 is 0.05. The attribute_17 is 0.02. The attribute_18 is 0.88. The attribute_19 is 0.06. The attribute_20 is 0.03.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.93. The attribute_1 is 0.26. The attribute_2 is 0.02. The attribute_3 is 0.38. The attribute_4 is 0.47. The attribute_5 is 0.7. The attribute_6 is 0.18. The attribute_7 is 0.73. The attribute_8 is 0.12. The attribute_9 is 0.77. The attribute_10 is 0.79. The attribute_11 is 0.18. The attribute_12 is 0.16. The attribute_13 is 0.79. The attribute_14 is 0.19. The attribute_15 is 0.48. The attribute_16 is 0.38. The attribute_17 is 0.2. The attribute_18 is 0.7. The attribute_19 is 0.33. The attribute_20 is 0.73.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.73. The attribute_1 is 0.3. The attribute_2 is 0.11. The attribute_3 is 0.76. The attribute_4 is 0.99. The attribute_5 is 0.99. The attribute_6 is 0.27. The attribute_7 is 0.44. The attribute_8 is 0.05. The attribute_9 is 0.45. The attribute_10 is 0.76. The attribute_11 is 0.17. The attribute_12 is 0.21. The attribute_13 is 0.97. The attribute_14 is 0.16. The attribute_15 is 0.3. The attribute_16 is 0.95. The attribute_17 is 0.23. The attribute_18 is 0.14. The attribute_19 is 0.86. The attribute_20 is 0.55.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.63. The attribute_1 is 0.92. The attribute_2 is 0.98. The attribute_3 is 0.93. The attribute_4 is 0.04. The attribute_5 is 0.75. The attribute_6 is 0.6. The attribute_7 is 0.36. The attribute_8 is 0.41. The attribute_9 is 0.74. The attribute_10 is 0.83. The attribute_11 is 0.36. The attribute_12 is 0.04. The attribute_13 is 0.95. The attribute_14 is 0.02. The attribute_15 is 0.04. The attribute_16 is 0.09. The attribute_17 is 1.0. The attribute_18 is 0.19. The attribute_19 is 0.01. The attribute_20 is 0.66.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.26. The attribute_1 is 0.8. The attribute_2 is 0.7. The attribute_3 is 0.65. The attribute_4 is 0.21. The attribute_5 is 0.43. The attribute_6 is 0.95. The attribute_7 is 0.41. The attribute_8 is 0.97. The attribute_9 is 0.55. The attribute_10 is 0.67. The attribute_11 is 0.94. The attribute_12 is 0.18. The attribute_13 is 0.78. The attribute_14 is 0.33. The attribute_15 is 0.93. The attribute_16 is 0.56. The attribute_17 is 0.83. The attribute_18 is 0.46. The attribute_19 is 0.79. The attribute_20 is 0.55.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.76. The attribute_1 is 0.5. The attribute_2 is 0.11. The attribute_3 is 0.14. The attribute_4 is 0.27. The attribute_5 is 0.8. The attribute_6 is 0.71. The attribute_7 is 0.41. The attribute_8 is 0.18. The attribute_9 is 0.22. The attribute_10 is 0.33. The attribute_11 is 0.88. The attribute_12 is 0.87. The attribute_13 is 0.57. The attribute_14 is 0.86. The attribute_15 is 0.9. The attribute_16 is 0.37. The attribute_17 is 0.41. The attribute_18 is 0.25. The attribute_19 is 0.41. The attribute_20 is 0.22.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.98. The attribute_1 is 0.22. The attribute_2 is 0.09. The attribute_3 is 0.03. The attribute_4 is 0.98. The attribute_5 is 0.41. The attribute_6 is 0.13. The attribute_7 is 0.85. The attribute_8 is 0.13. The attribute_9 is 0.16. The attribute_10 is 0.15. The attribute_11 is 0.18. The attribute_12 is 0.97. The attribute_13 is 0.28. The attribute_14 is 0.82. The attribute_15 is 1.0. The attribute_16 is 0.8. The attribute_17 is 0.14. The attribute_18 is 0.71. The attribute_19 is 0.94. The attribute_20 is 0.29.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.53. The attribute_1 is 1.0. The attribute_2 is 0.88. The attribute_3 is 0.93. The attribute_4 is 0.43. The attribute_5 is 0.8. The attribute_6 is 0.58. The attribute_7 is 0.58. The attribute_8 is 0.94. The attribute_9 is 0.5. The attribute_10 is 0.1. The attribute_11 is 0.61. The attribute_12 is 0.14. The attribute_13 is 0.78. The attribute_14 is 0.2. The attribute_15 is 0.06. The attribute_16 is 0.43. The attribute_17 is 0.94. The attribute_18 is 0.53. The attribute_19 is 0.11. The attribute_20 is 0.12.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.63. The attribute_1 is 0.63. The attribute_2 is 0.44. The attribute_3 is 0.11. The attribute_4 is 0.35. The attribute_5 is 0.13. The attribute_6 is 0.22. The attribute_7 is 0.95. The attribute_8 is 0.56. The attribute_9 is 0.8. The attribute_10 is 0.66. The attribute_11 is 0.38. The attribute_12 is 0.23. The attribute_13 is 0.17. The attribute_14 is 0.29. The attribute_15 is 0.32. The attribute_16 is 0.4. The attribute_17 is 0.41. The attribute_18 is 0.98. The attribute_19 is 0.59. The attribute_20 is 0.79.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.63. The attribute_1 is 0.39. The attribute_2 is 0.29. The attribute_3 is 0.71. The attribute_4 is 0.52. The attribute_5 is 0.78. The attribute_6 is 0.31. The attribute_7 is 0.47. The attribute_8 is 0.56. The attribute_9 is 0.04. The attribute_10 is 0.02. The attribute_11 is 0.47. The attribute_12 is 0.26. The attribute_13 is 0.74. The attribute_14 is 0.43. The attribute_15 is 0.63. The attribute_16 is 0.35. The attribute_17 is 0.27. The attribute_18 is 0.5. The attribute_19 is 0.14. The attribute_20 is 0.07.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.75. The attribute_1 is 0.72. The attribute_2 is 0.77. The attribute_3 is 0.47. The attribute_4 is 0.17. The attribute_5 is 0.27. The attribute_6 is 0.34. The attribute_7 is 0.73. The attribute_8 is 0.35. The attribute_9 is 0.52. The attribute_10 is 0.29. The attribute_11 is 0.2. The attribute_12 is 0.18. The attribute_13 is 0.52. The attribute_14 is 0.1. The attribute_15 is 0.09. The attribute_16 is 0.26. The attribute_17 is 0.84. The attribute_18 is 0.73. The attribute_19 is 0.18. The attribute_20 is 0.3.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.04. The attribute_1 is 0.89. The attribute_2 is 0.98. The attribute_3 is 0.73. The attribute_4 is 0.17. The attribute_5 is 0.84. The attribute_6 is 1.0. The attribute_7 is 0.0. The attribute_8 is 0.99. The attribute_9 is 0.46. The attribute_10 is 0.37. The attribute_11 is 0.92. The attribute_12 is 0.43. The attribute_13 is 0.56. The attribute_14 is 0.77. The attribute_15 is 0.59. The attribute_16 is 0.79. The attribute_17 is 1.0. The attribute_18 is 0.05. The attribute_19 is 0.45. The attribute_20 is 0.33.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.74. The attribute_1 is 0.72. The attribute_2 is 0.79. The attribute_3 is 0.42. The attribute_4 is 0.92. The attribute_5 is 0.33. The attribute_6 is 0.24. The attribute_7 is 0.92. The attribute_8 is 0.67. The attribute_9 is 0.96. The attribute_10 is 0.94. The attribute_11 is 0.16. The attribute_12 is 0.41. The attribute_13 is 0.48. The attribute_14 is 0.4. The attribute_15 is 0.14. The attribute_16 is 0.91. The attribute_17 is 0.65. The attribute_18 is 0.9. The attribute_19 is 0.62. The attribute_20 is 0.99.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.78. The attribute_1 is 0.48. The attribute_2 is 0.44. The attribute_3 is 0.03. The attribute_4 is 0.67. The attribute_5 is 0.45. The attribute_6 is 0.26. The attribute_7 is 0.88. The attribute_8 is 0.29. The attribute_9 is 0.32. The attribute_10 is 0.37. The attribute_11 is 0.09. The attribute_12 is 0.08. The attribute_13 is 0.07. The attribute_14 is 0.38. The attribute_15 is 0.37. The attribute_16 is 0.3. The attribute_17 is 0.71. The attribute_18 is 0.11. The attribute_19 is 0.29. The attribute_20 is 0.11.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.26. The attribute_1 is 0.49. The attribute_2 is 0.32. The attribute_3 is 0.25. The attribute_4 is 0.74. The attribute_5 is 0.26. The attribute_6 is 0.12. The attribute_7 is 0.51. The attribute_8 is 0.43. The attribute_9 is 0.16. The attribute_10 is 0.13. The attribute_11 is 0.14. The attribute_12 is 0.77. The attribute_13 is 0.46. The attribute_14 is 0.7. The attribute_15 is 0.51. The attribute_16 is 0.75. The attribute_17 is 0.38. The attribute_18 is 0.49. The attribute_19 is 0.23. The attribute_20 is 0.23.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.39. The attribute_1 is 0.69. The attribute_2 is 0.96. The attribute_3 is 0.13. The attribute_4 is 0.4. The attribute_5 is 0.48. The attribute_6 is 0.64. The attribute_7 is 0.41. The attribute_8 is 0.74. The attribute_9 is 0.94. The attribute_10 is 0.91. The attribute_11 is 0.65. The attribute_12 is 0.27. The attribute_13 is 0.19. The attribute_14 is 0.31. The attribute_15 is 0.1. The attribute_16 is 0.3. The attribute_17 is 0.9. The attribute_18 is 0.34. The attribute_19 is 0.18. The attribute_20 is 0.93.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.1. The attribute_1 is 0.88. The attribute_2 is 0.92. The attribute_3 is 0.73. The attribute_4 is 0.87. The attribute_5 is 0.83. The attribute_6 is 0.8. The attribute_7 is 0.24. The attribute_8 is 0.85. The attribute_9 is 0.29. The attribute_10 is 0.28. The attribute_11 is 0.55. The attribute_12 is 0.82. The attribute_13 is 0.54. The attribute_14 is 0.81. The attribute_15 is 0.56. The attribute_16 is 0.78. The attribute_17 is 0.89. The attribute_18 is 0.3. The attribute_19 is 0.63. The attribute_20 is 0.26.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.95. The attribute_1 is 0.62. The attribute_2 is 0.25. The attribute_3 is 0.0. The attribute_4 is 0.61. The attribute_5 is 0.31. The attribute_6 is 0.5. The attribute_7 is 0.73. The attribute_8 is 0.21. The attribute_9 is 0.54. The attribute_10 is 0.22. The attribute_11 is 0.74. The attribute_12 is 0.57. The attribute_13 is 0.08. The attribute_14 is 0.94. The attribute_15 is 0.72. The attribute_16 is 0.78. The attribute_17 is 0.12. The attribute_18 is 0.36. The attribute_19 is 0.45. The attribute_20 is 0.22.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.18. The attribute_1 is 0.02. The attribute_2 is 0.17. The attribute_3 is 0.63. The attribute_4 is 0.74. The attribute_5 is 0.7. The attribute_6 is 0.12. The attribute_7 is 0.51. The attribute_8 is 0.11. The attribute_9 is 0.05. The attribute_10 is 0.04. The attribute_11 is 0.05. The attribute_12 is 0.3. The attribute_13 is 0.68. The attribute_14 is 0.12. The attribute_15 is 0.0. The attribute_16 is 0.84. The attribute_17 is 0.14. The attribute_18 is 0.77. The attribute_19 is 0.96. The attribute_20 is 0.09.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.61. The attribute_1 is 0.88. The attribute_2 is 0.8. The attribute_3 is 0.82. The attribute_4 is 0.39. The attribute_5 is 0.92. The attribute_6 is 0.82. The attribute_7 is 0.11. The attribute_8 is 0.59. The attribute_9 is 0.89. The attribute_10 is 0.96. The attribute_11 is 0.85. The attribute_12 is 0.07. The attribute_13 is 0.91. The attribute_14 is 0.03. The attribute_15 is 0.14. The attribute_16 is 0.59. The attribute_17 is 0.96. The attribute_18 is 0.04. The attribute_19 is 0.7. The attribute_20 is 0.86.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.67. The attribute_1 is 0.76. The attribute_2 is 0.73. The attribute_3 is 0.27. The attribute_4 is 0.29. The attribute_5 is 0.5. The attribute_6 is 0.77. The attribute_7 is 0.53. The attribute_8 is 0.7. The attribute_9 is 0.96. The attribute_10 is 0.93. The attribute_11 is 0.92. The attribute_12 is 0.41. The attribute_13 is 0.43. The attribute_14 is 0.1. The attribute_15 is 0.14. The attribute_16 is 0.5. The attribute_17 is 0.74. The attribute_18 is 0.26. The attribute_19 is 0.17. The attribute_20 is 0.69.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.0. The attribute_1 is 0.75. The attribute_2 is 0.68. The attribute_3 is 0.94. The attribute_4 is 0.52. The attribute_5 is 0.89. The attribute_6 is 0.95. The attribute_7 is 0.05. The attribute_8 is 1.0. The attribute_9 is 0.58. The attribute_10 is 0.58. The attribute_11 is 0.97. The attribute_12 is 0.19. The attribute_13 is 0.94. The attribute_14 is 0.12. The attribute_15 is 0.24. The attribute_16 is 0.61. The attribute_17 is 0.81. The attribute_18 is 0.07. The attribute_19 is 0.68. The attribute_20 is 0.61.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.55. The attribute_1 is 0.87. The attribute_2 is 0.69. The attribute_3 is 0.4. The attribute_4 is 0.41. The attribute_5 is 0.47. The attribute_6 is 0.44. The attribute_7 is 0.6. The attribute_8 is 0.94. The attribute_9 is 0.64. The attribute_10 is 0.15. The attribute_11 is 0.46. The attribute_12 is 0.46. The attribute_13 is 0.39. The attribute_14 is 0.72. The attribute_15 is 0.37. The attribute_16 is 0.33. The attribute_17 is 0.55. The attribute_18 is 0.31. The attribute_19 is 0.23. The attribute_20 is 0.65.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.21. The attribute_1 is 0.47. The attribute_2 is 0.87. The attribute_3 is 0.93. The attribute_4 is 0.37. The attribute_5 is 0.76. The attribute_6 is 0.68. The attribute_7 is 0.22. The attribute_8 is 0.86. The attribute_9 is 0.72. The attribute_10 is 0.86. The attribute_11 is 0.46. The attribute_12 is 0.57. The attribute_13 is 0.7. The attribute_14 is 0.8. The attribute_15 is 0.74. The attribute_16 is 0.49. The attribute_17 is 0.77. The attribute_18 is 0.48. The attribute_19 is 0.29. The attribute_20 is 0.77.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.83. The attribute_1 is 0.23. The attribute_2 is 0.47. The attribute_3 is 0.44. The attribute_4 is 0.58. The attribute_5 is 0.17. The attribute_6 is 0.16. The attribute_7 is 0.64. The attribute_8 is 0.38. The attribute_9 is 0.74. The attribute_10 is 0.31. The attribute_11 is 0.23. The attribute_12 is 0.57. The attribute_13 is 0.27. The attribute_14 is 0.61. The attribute_15 is 0.57. The attribute_16 is 0.59. The attribute_17 is 0.29. The attribute_18 is 0.65. The attribute_19 is 0.62. The attribute_20 is 0.37.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.86. The attribute_1 is 0.22. The attribute_2 is 0.16. The attribute_3 is 0.18. The attribute_4 is 0.82. The attribute_5 is 0.57. The attribute_6 is 0.0. The attribute_7 is 0.8. The attribute_8 is 0.01. The attribute_9 is 0.24. The attribute_10 is 0.33. The attribute_11 is 0.29. The attribute_12 is 0.59. The attribute_13 is 0.35. The attribute_14 is 0.95. The attribute_15 is 0.99. The attribute_16 is 0.9. The attribute_17 is 0.08. The attribute_18 is 0.84. The attribute_19 is 0.97. The attribute_20 is 0.66.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.06. The attribute_1 is 0.2. The attribute_2 is 0.28. The attribute_3 is 0.72. The attribute_4 is 0.11. The attribute_5 is 0.8. The attribute_6 is 0.37. The attribute_7 is 0.36. The attribute_8 is 0.21. The attribute_9 is 0.23. The attribute_10 is 0.02. The attribute_11 is 0.25. The attribute_12 is 0.01. The attribute_13 is 0.6. The attribute_14 is 0.42. The attribute_15 is 0.33. The attribute_16 is 0.13. The attribute_17 is 0.17. The attribute_18 is 0.84. The attribute_19 is 0.1. The attribute_20 is 0.03.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.74. The attribute_1 is 0.29. The attribute_2 is 0.28. The attribute_3 is 0.06. The attribute_4 is 0.71. The attribute_5 is 0.02. The attribute_6 is 0.15. The attribute_7 is 0.87. The attribute_8 is 0.34. The attribute_9 is 0.2. The attribute_10 is 0.41. The attribute_11 is 0.21. The attribute_12 is 0.65. The attribute_13 is 0.09. The attribute_14 is 0.61. The attribute_15 is 0.55. The attribute_16 is 0.55. The attribute_17 is 0.18. The attribute_18 is 0.87. The attribute_19 is 0.56. The attribute_20 is 0.58.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.83. The attribute_1 is 0.18. The attribute_2 is 0.79. The attribute_3 is 0.07. The attribute_4 is 0.21. The attribute_5 is 0.34. The attribute_6 is 0.75. The attribute_7 is 0.38. The attribute_8 is 0.87. The attribute_9 is 0.99. The attribute_10 is 0.53. The attribute_11 is 0.71. The attribute_12 is 0.44. The attribute_13 is 0.51. The attribute_14 is 0.59. The attribute_15 is 0.57. The attribute_16 is 0.31. The attribute_17 is 0.31. The attribute_18 is 0.49. The attribute_19 is 0.2. The attribute_20 is 0.33.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.4. The attribute_1 is 0.32. The attribute_2 is 0.72. The attribute_3 is 0.8. The attribute_4 is 0.57. The attribute_5 is 0.74. The attribute_6 is 0.58. The attribute_7 is 0.62. The attribute_8 is 0.92. The attribute_9 is 0.56. The attribute_10 is 0.2. The attribute_11 is 0.42. The attribute_12 is 0.73. The attribute_13 is 0.8. The attribute_14 is 0.4. The attribute_15 is 0.58. The attribute_16 is 0.66. The attribute_17 is 0.68. The attribute_18 is 0.59. The attribute_19 is 0.45. The attribute_20 is 0.28.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.75. The attribute_1 is 0.95. The attribute_2 is 0.53. The attribute_3 is 0.0. The attribute_4 is 0.22. The attribute_5 is 0.08. The attribute_6 is 0.37. The attribute_7 is 0.9. The attribute_8 is 0.44. The attribute_9 is 0.68. The attribute_10 is 0.79. The attribute_11 is 0.58. The attribute_12 is 0.54. The attribute_13 is 0.08. The attribute_14 is 0.78. The attribute_15 is 0.81. The attribute_16 is 0.31. The attribute_17 is 0.5. The attribute_18 is 0.53. The attribute_19 is 0.28. The attribute_20 is 0.78.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.71. The attribute_1 is 0.11. The attribute_2 is 0.03. The attribute_3 is 0.02. The attribute_4 is 0.32. The attribute_5 is 0.24. The attribute_6 is 0.04. The attribute_7 is 0.86. The attribute_8 is 0.14. The attribute_9 is 0.16. The attribute_10 is 0.11. The attribute_11 is 0.13. The attribute_12 is 0.19. The attribute_13 is 0.18. The attribute_14 is 0.42. The attribute_15 is 0.8. The attribute_16 is 0.63. The attribute_17 is 0.04. The attribute_18 is 0.96. The attribute_19 is 0.52. The attribute_20 is 0.32.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.49. The attribute_1 is 0.76. The attribute_2 is 0.49. The attribute_3 is 0.33. The attribute_4 is 0.53. The attribute_5 is 0.03. The attribute_6 is 0.33. The attribute_7 is 0.15. The attribute_8 is 0.24. The attribute_9 is 0.57. The attribute_10 is 0.73. The attribute_11 is 0.38. The attribute_12 is 0.44. The attribute_13 is 0.14. The attribute_14 is 0.34. The attribute_15 is 0.84. The attribute_16 is 0.38. The attribute_17 is 0.74. The attribute_18 is 0.09. The attribute_19 is 0.28. The attribute_20 is 0.73.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.47. The attribute_1 is 0.91. The attribute_2 is 0.33. The attribute_3 is 0.15. The attribute_4 is 0.82. The attribute_5 is 0.77. The attribute_6 is 0.14. The attribute_7 is 0.8. The attribute_8 is 0.53. The attribute_9 is 0.39. The attribute_10 is 0.13. The attribute_11 is 0.78. The attribute_12 is 0.55. The attribute_13 is 0.13. The attribute_14 is 0.92. The attribute_15 is 0.89. The attribute_16 is 0.95. The attribute_17 is 0.14. The attribute_18 is 0.79. The attribute_19 is 0.87. The attribute_20 is 0.94.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.54. The attribute_1 is 0.75. The attribute_2 is 0.61. The attribute_3 is 0.65. The attribute_4 is 0.57. The attribute_5 is 0.28. The attribute_6 is 0.25. The attribute_7 is 0.34. The attribute_8 is 0.41. The attribute_9 is 0.42. The attribute_10 is 0.51. The attribute_11 is 0.86. The attribute_12 is 0.57. The attribute_13 is 0.42. The attribute_14 is 0.75. The attribute_15 is 0.61. The attribute_16 is 0.6. The attribute_17 is 0.59. The attribute_18 is 0.3. The attribute_19 is 0.63. The attribute_20 is 0.35.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.17. The attribute_1 is 0.28. The attribute_2 is 0.52. The attribute_3 is 0.39. The attribute_4 is 0.88. The attribute_5 is 0.38. The attribute_6 is 0.3. The attribute_7 is 0.32. The attribute_8 is 0.62. The attribute_9 is 0.34. The attribute_10 is 0.42. The attribute_11 is 0.36. The attribute_12 is 0.88. The attribute_13 is 0.39. The attribute_14 is 0.95. The attribute_15 is 0.81. The attribute_16 is 0.81. The attribute_17 is 0.31. The attribute_18 is 0.36. The attribute_19 is 0.79. The attribute_20 is 0.38.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.63. The attribute_1 is 0.77. The attribute_2 is 0.54. The attribute_3 is 0.49. The attribute_4 is 0.47. The attribute_5 is 0.67. The attribute_6 is 0.27. The attribute_7 is 0.63. The attribute_8 is 0.36. The attribute_9 is 0.78. The attribute_10 is 0.74. The attribute_11 is 0.16. The attribute_12 is 0.65. The attribute_13 is 0.61. The attribute_14 is 0.7. The attribute_15 is 0.59. The attribute_16 is 0.34. The attribute_17 is 0.43. The attribute_18 is 0.34. The attribute_19 is 0.27. The attribute_20 is 0.91.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.9. The attribute_1 is 0.07. The attribute_2 is 0.45. The attribute_3 is 0.05. The attribute_4 is 0.33. The attribute_5 is 0.21. The attribute_6 is 0.43. The attribute_7 is 0.79. The attribute_8 is 0.29. The attribute_9 is 0.36. The attribute_10 is 0.35. The attribute_11 is 0.13. The attribute_12 is 0.59. The attribute_13 is 0.21. The attribute_14 is 0.46. The attribute_15 is 0.45. The attribute_16 is 0.43. The attribute_17 is 0.47. The attribute_18 is 0.76. The attribute_19 is 0.53. The attribute_20 is 0.47.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.97. The attribute_1 is 0.61. The attribute_2 is 0.2. The attribute_3 is 0.8. The attribute_4 is 0.16. The attribute_5 is 0.53. The attribute_6 is 0.18. The attribute_7 is 0.85. The attribute_8 is 0.16. The attribute_9 is 0.33. The attribute_10 is 0.32. The attribute_11 is 0.39. The attribute_12 is 0.35. The attribute_13 is 0.54. The attribute_14 is 0.62. The attribute_15 is 0.41. The attribute_16 is 0.28. The attribute_17 is 0.14. The attribute_18 is 0.6. The attribute_19 is 0.13. The attribute_20 is 0.57.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.04. The attribute_1 is 0.58. The attribute_2 is 0.58. The attribute_3 is 0.74. The attribute_4 is 0.19. The attribute_5 is 0.77. The attribute_6 is 0.44. The attribute_7 is 0.05. The attribute_8 is 0.43. The attribute_9 is 0.46. The attribute_10 is 0.52. The attribute_11 is 0.47. The attribute_12 is 0.6. The attribute_13 is 0.61. The attribute_14 is 0.63. The attribute_15 is 0.65. The attribute_16 is 0.43. The attribute_17 is 0.65. The attribute_18 is 0.23. The attribute_19 is 0.55. The attribute_20 is 0.52.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.11. The attribute_1 is 0.9. The attribute_2 is 0.89. The attribute_3 is 0.81. The attribute_4 is 0.51. The attribute_5 is 0.69. The attribute_6 is 0.84. The attribute_7 is 0.12. The attribute_8 is 0.9. The attribute_9 is 0.63. The attribute_10 is 0.69. The attribute_11 is 0.67. The attribute_12 is 0.6. The attribute_13 is 0.7. The attribute_14 is 0.77. The attribute_15 is 0.54. The attribute_16 is 0.41. The attribute_17 is 0.97. The attribute_18 is 0.06. The attribute_19 is 0.28. The attribute_20 is 0.44.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.33. The attribute_1 is 0.72. The attribute_2 is 0.81. The attribute_3 is 0.61. The attribute_4 is 0.59. The attribute_5 is 0.77. The attribute_6 is 0.07. The attribute_7 is 0.78. The attribute_8 is 0.52. The attribute_9 is 0.05. The attribute_10 is 0.07. The attribute_11 is 0.21. The attribute_12 is 0.68. The attribute_13 is 0.81. The attribute_14 is 0.7. The attribute_15 is 0.48. The attribute_16 is 0.84. The attribute_17 is 0.5. The attribute_18 is 0.6. The attribute_19 is 0.58. The attribute_20 is 0.08.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.46. The attribute_1 is 0.18. The attribute_2 is 0.22. The attribute_3 is 0.42. The attribute_4 is 0.36. The attribute_5 is 0.76. The attribute_6 is 0.36. The attribute_7 is 0.38. The attribute_8 is 0.28. The attribute_9 is 0.38. The attribute_10 is 0.33. The attribute_11 is 0.35. The attribute_12 is 0.41. The attribute_13 is 0.82. The attribute_14 is 0.39. The attribute_15 is 0.76. The attribute_16 is 0.48. The attribute_17 is 0.15. The attribute_18 is 0.34. The attribute_19 is 0.88. The attribute_20 is 0.38.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.22. The attribute_1 is 0.36. The attribute_2 is 0.69. The attribute_3 is 0.36. The attribute_4 is 0.64. The attribute_5 is 0.42. The attribute_6 is 0.39. The attribute_7 is 0.2. The attribute_8 is 0.38. The attribute_9 is 0.54. The attribute_10 is 0.5. The attribute_11 is 0.24. The attribute_12 is 0.54. The attribute_13 is 0.39. The attribute_14 is 0.39. The attribute_15 is 0.41. The attribute_16 is 0.6. The attribute_17 is 0.84. The attribute_18 is 0.4. The attribute_19 is 0.69. The attribute_20 is 0.3.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.41. The attribute_1 is 0.9. The attribute_2 is 0.72. The attribute_3 is 0.26. The attribute_4 is 0.99. The attribute_5 is 0.29. The attribute_6 is 0.71. The attribute_7 is 0.53. The attribute_8 is 0.75. The attribute_9 is 0.91. The attribute_10 is 0.91. The attribute_11 is 0.9. The attribute_12 is 0.94. The attribute_13 is 0.3. The attribute_14 is 1.0. The attribute_15 is 0.97. The attribute_16 is 0.96. The attribute_17 is 0.67. The attribute_18 is 0.0. The attribute_19 is 0.81. The attribute_20 is 0.73.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.27. The attribute_1 is 0.39. The attribute_2 is 0.54. The attribute_3 is 0.33. The attribute_4 is 0.45. The attribute_5 is 0.24. The attribute_6 is 0.18. The attribute_7 is 0.7. The attribute_8 is 0.52. The attribute_9 is 0.66. The attribute_10 is 0.77. The attribute_11 is 0.17. The attribute_12 is 0.69. The attribute_13 is 0.25. The attribute_14 is 0.93. The attribute_15 is 0.75. The attribute_16 is 0.64. The attribute_17 is 0.33. The attribute_18 is 0.22. The attribute_19 is 0.87. The attribute_20 is 0.74.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.47. The attribute_1 is 0.3. The attribute_2 is 0.29. The attribute_3 is 0.69. The attribute_4 is 0.86. The attribute_5 is 0.75. The attribute_6 is 0.6. The attribute_7 is 0.66. The attribute_8 is 0.94. The attribute_9 is 0.37. The attribute_10 is 0.1. The attribute_11 is 0.37. The attribute_12 is 0.75. The attribute_13 is 0.63. The attribute_14 is 0.78. The attribute_15 is 0.78. The attribute_16 is 0.8. The attribute_17 is 0.22. The attribute_18 is 0.17. The attribute_19 is 0.74. The attribute_20 is 0.22.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.75. The attribute_1 is 0.81. The attribute_2 is 0.94. The attribute_3 is 0.52. The attribute_4 is 0.15. The attribute_5 is 0.71. The attribute_6 is 0.65. The attribute_7 is 0.36. The attribute_8 is 0.92. The attribute_9 is 0.94. The attribute_10 is 0.85. The attribute_11 is 0.53. The attribute_12 is 0.01. The attribute_13 is 0.84. The attribute_14 is 0.01. The attribute_15 is 0.0. The attribute_16 is 0.35. The attribute_17 is 0.84. The attribute_18 is 0.46. The attribute_19 is 0.32. The attribute_20 is 0.68.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.03. The attribute_1 is 0.44. The attribute_2 is 0.48. The attribute_3 is 0.41. The attribute_4 is 0.1. The attribute_5 is 0.6. The attribute_6 is 0.59. The attribute_7 is 0.02. The attribute_8 is 0.44. The attribute_9 is 0.85. The attribute_10 is 0.92. The attribute_11 is 0.56. The attribute_12 is 0.63. The attribute_13 is 0.45. The attribute_14 is 0.47. The attribute_15 is 0.59. The attribute_16 is 0.36. The attribute_17 is 0.61. The attribute_18 is 0.07. The attribute_19 is 0.45. The attribute_20 is 0.61.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.21. The attribute_1 is 0.97. The attribute_2 is 0.89. The attribute_3 is 0.89. The attribute_4 is 0.99. The attribute_5 is 0.94. The attribute_6 is 0.74. The attribute_7 is 0.11. The attribute_8 is 0.62. The attribute_9 is 0.77. The attribute_10 is 0.49. The attribute_11 is 0.67. The attribute_12 is 0.75. The attribute_13 is 0.97. The attribute_14 is 0.58. The attribute_15 is 0.36. The attribute_16 is 0.78. The attribute_17 is 0.95. The attribute_18 is 0.28. The attribute_19 is 0.76. The attribute_20 is 0.23.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.2. The attribute_1 is 0.53. The attribute_2 is 0.41. The attribute_3 is 0.56. The attribute_4 is 0.38. The attribute_5 is 0.45. The attribute_6 is 0.79. The attribute_7 is 0.34. The attribute_8 is 0.79. The attribute_9 is 0.52. The attribute_10 is 0.51. The attribute_11 is 0.83. The attribute_12 is 0.06. The attribute_13 is 0.38. The attribute_14 is 0.26. The attribute_15 is 0.17. The attribute_16 is 0.44. The attribute_17 is 0.52. The attribute_18 is 0.75. The attribute_19 is 0.31. The attribute_20 is 0.58.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.86. The attribute_1 is 0.12. The attribute_2 is 0.01. The attribute_3 is 0.18. The attribute_4 is 0.23. The attribute_5 is 0.0. The attribute_6 is 0.04. The attribute_7 is 0.99. The attribute_8 is 0.0. The attribute_9 is 0.01. The attribute_10 is 0.03. The attribute_11 is 0.1. The attribute_12 is 0.43. The attribute_13 is 0.07. The attribute_14 is 0.89. The attribute_15 is 0.77. The attribute_16 is 0.88. The attribute_17 is 0.02. The attribute_18 is 0.9. The attribute_19 is 0.74. The attribute_20 is 0.09.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.17. The attribute_1 is 0.62. The attribute_2 is 0.46. The attribute_3 is 0.38. The attribute_4 is 0.23. The attribute_5 is 0.32. The attribute_6 is 0.35. The attribute_7 is 0.41. The attribute_8 is 0.43. The attribute_9 is 0.52. The attribute_10 is 0.6. The attribute_11 is 0.43. The attribute_12 is 0.98. The attribute_13 is 0.38. The attribute_14 is 0.42. The attribute_15 is 0.52. The attribute_16 is 0.19. The attribute_17 is 0.44. The attribute_18 is 0.5. The attribute_19 is 0.21. The attribute_20 is 0.87.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.38. The attribute_1 is 0.57. The attribute_2 is 0.47. The attribute_3 is 0.18. The attribute_4 is 0.31. The attribute_5 is 0.17. The attribute_6 is 0.62. The attribute_7 is 0.79. The attribute_8 is 0.57. The attribute_9 is 0.33. The attribute_10 is 0.29. The attribute_11 is 0.46. The attribute_12 is 0.39. The attribute_13 is 0.11. The attribute_14 is 0.26. The attribute_15 is 0.37. The attribute_16 is 0.43. The attribute_17 is 0.49. The attribute_18 is 0.78. The attribute_19 is 0.51. The attribute_20 is 0.49.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.33. The attribute_1 is 0.57. The attribute_2 is 0.78. The attribute_3 is 0.94. The attribute_4 is 0.53. The attribute_5 is 0.24. The attribute_6 is 0.75. The attribute_7 is 0.26. The attribute_8 is 0.85. The attribute_9 is 0.79. The attribute_10 is 0.88. The attribute_11 is 0.88. The attribute_12 is 0.93. The attribute_13 is 0.85. The attribute_14 is 0.83. The attribute_15 is 0.52. The attribute_16 is 0.22. The attribute_17 is 0.76. The attribute_18 is 0.34. The attribute_19 is 0.02. The attribute_20 is 0.63.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.14. The attribute_1 is 0.8. The attribute_2 is 0.44. The attribute_3 is 0.6. The attribute_4 is 0.46. The attribute_5 is 0.78. The attribute_6 is 0.28. The attribute_7 is 0.16. The attribute_8 is 0.36. The attribute_9 is 0.58. The attribute_10 is 0.75. The attribute_11 is 0.41. The attribute_12 is 0.2. The attribute_13 is 0.55. The attribute_14 is 0.41. The attribute_15 is 0.46. The attribute_16 is 0.22. The attribute_17 is 0.57. The attribute_18 is 0.34. The attribute_19 is 0.17. The attribute_20 is 0.73.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.61. The attribute_1 is 0.06. The attribute_2 is 0.25. The attribute_3 is 0.74. The attribute_4 is 0.71. The attribute_5 is 0.71. The attribute_6 is 0.27. The attribute_7 is 0.57. The attribute_8 is 0.13. The attribute_9 is 0.72. The attribute_10 is 0.16. The attribute_11 is 0.47. The attribute_12 is 0.46. The attribute_13 is 0.87. The attribute_14 is 0.42. The attribute_15 is 0.03. The attribute_16 is 0.91. The attribute_17 is 0.13. The attribute_18 is 0.64. The attribute_19 is 0.61. The attribute_20 is 0.24.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.75. The attribute_1 is 0.17. The attribute_2 is 0.11. The attribute_3 is 0.12. The attribute_4 is 0.53. The attribute_5 is 0.32. The attribute_6 is 0.01. The attribute_7 is 0.99. The attribute_8 is 0.44. The attribute_9 is 0.19. The attribute_10 is 0.1. The attribute_11 is 0.04. The attribute_12 is 0.75. The attribute_13 is 0.11. The attribute_14 is 0.94. The attribute_15 is 0.63. The attribute_16 is 0.89. The attribute_17 is 0.04. The attribute_18 is 0.98. The attribute_19 is 0.92. The attribute_20 is 0.26.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.82. The attribute_1 is 0.21. The attribute_2 is 0.23. The attribute_3 is 0.55. The attribute_4 is 0.81. The attribute_5 is 0.7. The attribute_6 is 0.66. The attribute_7 is 0.42. The attribute_8 is 0.61. The attribute_9 is 0.04. The attribute_10 is 0.04. The attribute_11 is 0.8. The attribute_12 is 0.78. The attribute_13 is 0.72. The attribute_14 is 0.9. The attribute_15 is 0.96. The attribute_16 is 0.96. The attribute_17 is 0.29. The attribute_18 is 0.55. The attribute_19 is 0.88. The attribute_20 is 0.13.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.71. The attribute_1 is 0.98. The attribute_2 is 0.87. The attribute_3 is 0.56. The attribute_4 is 0.95. The attribute_5 is 0.78. The attribute_6 is 0.9. The attribute_7 is 0.25. The attribute_8 is 0.7. The attribute_9 is 0.98. The attribute_10 is 0.99. The attribute_11 is 0.79. The attribute_12 is 0.85. The attribute_13 is 0.27. The attribute_14 is 0.74. The attribute_15 is 0.54. The attribute_16 is 0.9. The attribute_17 is 0.85. The attribute_18 is 0.18. The attribute_19 is 0.6. The attribute_20 is 0.94.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.19. The attribute_1 is 0.83. The attribute_2 is 0.29. The attribute_3 is 0.46. The attribute_4 is 0.42. The attribute_5 is 0.68. The attribute_6 is 0.87. The attribute_7 is 0.13. The attribute_8 is 0.65. The attribute_9 is 0.22. The attribute_10 is 0.3. The attribute_11 is 0.57. The attribute_12 is 0.61. The attribute_13 is 0.46. The attribute_14 is 0.73. The attribute_15 is 0.92. The attribute_16 is 0.56. The attribute_17 is 0.82. The attribute_18 is 0.39. The attribute_19 is 0.68. The attribute_20 is 0.19.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.55. The attribute_1 is 0.78. The attribute_2 is 0.84. The attribute_3 is 0.29. The attribute_4 is 0.18. The attribute_5 is 0.3. The attribute_6 is 0.54. The attribute_7 is 0.37. The attribute_8 is 0.51. The attribute_9 is 0.75. The attribute_10 is 0.6. The attribute_11 is 0.25. The attribute_12 is 0.54. The attribute_13 is 0.28. The attribute_14 is 0.28. The attribute_15 is 0.35. The attribute_16 is 0.22. The attribute_17 is 0.86. The attribute_18 is 0.81. The attribute_19 is 0.17. The attribute_20 is 0.48.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.67. The attribute_1 is 0.62. The attribute_2 is 0.95. The attribute_3 is 0.33. The attribute_4 is 0.8. The attribute_5 is 0.24. The attribute_6 is 0.74. The attribute_7 is 0.77. The attribute_8 is 0.89. The attribute_9 is 0.06. The attribute_10 is 0.23. The attribute_11 is 0.4. The attribute_12 is 0.33. The attribute_13 is 0.22. The attribute_14 is 0.22. The attribute_15 is 0.22. The attribute_16 is 0.61. The attribute_17 is 0.97. The attribute_18 is 0.53. The attribute_19 is 0.41. The attribute_20 is 0.21.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.05. The attribute_1 is 0.91. The attribute_2 is 0.91. The attribute_3 is 0.94. The attribute_4 is 0.54. The attribute_5 is 0.98. The attribute_6 is 0.63. The attribute_7 is 0.17. The attribute_8 is 0.75. The attribute_9 is 0.38. The attribute_10 is 0.69. The attribute_11 is 0.84. The attribute_12 is 0.76. The attribute_13 is 0.67. The attribute_14 is 0.67. The attribute_15 is 0.44. The attribute_16 is 0.54. The attribute_17 is 0.88. The attribute_18 is 0.06. The attribute_19 is 0.31. The attribute_20 is 0.72.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.28. The attribute_1 is 0.51. The attribute_2 is 0.79. The attribute_3 is 0.44. The attribute_4 is 0.2. The attribute_5 is 0.23. The attribute_6 is 0.58. The attribute_7 is 0.67. The attribute_8 is 0.89. The attribute_9 is 0.93. The attribute_10 is 0.81. The attribute_11 is 0.49. The attribute_12 is 0.24. The attribute_13 is 0.33. The attribute_14 is 0.02. The attribute_15 is 0.14. The attribute_16 is 0.07. The attribute_17 is 0.58. The attribute_18 is 0.83. The attribute_19 is 0.07. The attribute_20 is 0.73.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.73. The attribute_1 is 0.16. The attribute_2 is 0.09. The attribute_3 is 0.11. The attribute_4 is 0.42. The attribute_5 is 0.11. The attribute_6 is 0.27. The attribute_7 is 0.69. The attribute_8 is 0.09. The attribute_9 is 0.69. The attribute_10 is 0.63. The attribute_11 is 0.14. The attribute_12 is 0.47. The attribute_13 is 0.1. The attribute_14 is 0.33. The attribute_15 is 0.34. The attribute_16 is 0.44. The attribute_17 is 0.42. The attribute_18 is 0.68. The attribute_19 is 0.37. The attribute_20 is 0.59.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.31. The attribute_1 is 0.81. The attribute_2 is 0.86. The attribute_3 is 0.26. The attribute_4 is 0.17. The attribute_5 is 0.38. The attribute_6 is 0.82. The attribute_7 is 0.24. The attribute_8 is 0.83. The attribute_9 is 0.85. The attribute_10 is 0.8. The attribute_11 is 0.76. The attribute_12 is 0.14. The attribute_13 is 0.43. The attribute_14 is 0.4. The attribute_15 is 0.45. The attribute_16 is 0.34. The attribute_17 is 0.85. The attribute_18 is 0.26. The attribute_19 is 0.18. The attribute_20 is 0.73.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.62. The attribute_1 is 0.6. The attribute_2 is 0.54. The attribute_3 is 0.3. The attribute_4 is 0.27. The attribute_5 is 0.54. The attribute_6 is 0.86. The attribute_7 is 0.22. The attribute_8 is 0.64. The attribute_9 is 0.38. The attribute_10 is 0.5. The attribute_11 is 0.77. The attribute_12 is 0.59. The attribute_13 is 0.77. The attribute_14 is 0.57. The attribute_15 is 0.84. The attribute_16 is 0.04. The attribute_17 is 0.54. The attribute_18 is 0.27. The attribute_19 is 0.19. The attribute_20 is 0.57.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.23. The attribute_1 is 0.28. The attribute_2 is 0.27. The attribute_3 is 0.95. The attribute_4 is 0.53. The attribute_5 is 0.87. The attribute_6 is 0.97. The attribute_7 is 0.07. The attribute_8 is 0.97. The attribute_9 is 0.09. The attribute_10 is 0.08. The attribute_11 is 0.98. The attribute_12 is 0.73. The attribute_13 is 0.88. The attribute_14 is 0.8. The attribute_15 is 0.49. The attribute_16 is 0.81. The attribute_17 is 0.08. The attribute_18 is 0.22. The attribute_19 is 0.65. The attribute_20 is 0.32.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.53. The attribute_1 is 0.07. The attribute_2 is 0.04. The attribute_3 is 0.14. The attribute_4 is 0.81. The attribute_5 is 0.06. The attribute_6 is 0.02. The attribute_7 is 0.89. The attribute_8 is 0.33. The attribute_9 is 0.22. The attribute_10 is 0.17. The attribute_11 is 0.11. The attribute_12 is 0.45. The attribute_13 is 0.16. The attribute_14 is 0.55. The attribute_15 is 0.66. The attribute_16 is 0.92. The attribute_17 is 0.07. The attribute_18 is 0.87. The attribute_19 is 0.8. The attribute_20 is 0.46.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.45. The attribute_1 is 0.66. The attribute_2 is 0.99. The attribute_3 is 0.9. The attribute_4 is 0.24. The attribute_5 is 0.26. The attribute_6 is 0.96. The attribute_7 is 0.24. The attribute_8 is 0.98. The attribute_9 is 0.86. The attribute_10 is 0.87. The attribute_11 is 0.87. The attribute_12 is 0.59. The attribute_13 is 0.56. The attribute_14 is 0.79. The attribute_15 is 0.54. The attribute_16 is 0.59. The attribute_17 is 0.87. The attribute_18 is 0.24. The attribute_19 is 0.38. The attribute_20 is 0.81.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.1. The attribute_1 is 0.54. The attribute_2 is 0.91. The attribute_3 is 0.57. The attribute_4 is 0.57. The attribute_5 is 0.62. The attribute_6 is 0.92. The attribute_7 is 0.0. The attribute_8 is 0.96. The attribute_9 is 0.71. The attribute_10 is 0.49. The attribute_11 is 0.97. The attribute_12 is 0.5. The attribute_13 is 0.61. The attribute_14 is 0.77. The attribute_15 is 0.75. The attribute_16 is 0.66. The attribute_17 is 0.87. The attribute_18 is 0.13. The attribute_19 is 0.42. The attribute_20 is 0.46.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.27. The attribute_1 is 0.69. The attribute_2 is 0.71. The attribute_3 is 0.92. The attribute_4 is 0.72. The attribute_5 is 0.63. The attribute_6 is 0.12. The attribute_7 is 0.62. The attribute_8 is 0.07. The attribute_9 is 0.38. The attribute_10 is 0.79. The attribute_11 is 0.02. The attribute_12 is 0.87. The attribute_13 is 0.74. The attribute_14 is 0.93. The attribute_15 is 0.76. The attribute_16 is 0.69. The attribute_17 is 0.63. The attribute_18 is 0.54. The attribute_19 is 0.55. The attribute_20 is 0.86.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.83. The attribute_1 is 0.39. The attribute_2 is 0.56. The attribute_3 is 0.41. The attribute_4 is 0.47. The attribute_5 is 0.4. The attribute_6 is 0.68. The attribute_7 is 0.41. The attribute_8 is 0.25. The attribute_9 is 0.49. The attribute_10 is 0.21. The attribute_11 is 0.48. The attribute_12 is 0.54. The attribute_13 is 0.11. The attribute_14 is 0.56. The attribute_15 is 0.47. The attribute_16 is 0.69. The attribute_17 is 0.35. The attribute_18 is 0.47. The attribute_19 is 0.73. The attribute_20 is 0.19.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.64. The attribute_1 is 0.63. The attribute_2 is 0.95. The attribute_3 is 0.94. The attribute_4 is 0.94. The attribute_5 is 0.6. The attribute_6 is 0.26. The attribute_7 is 0.99. The attribute_8 is 0.69. The attribute_9 is 0.95. The attribute_10 is 1.0. The attribute_11 is 0.21. The attribute_12 is 0.51. The attribute_13 is 0.97. The attribute_14 is 0.34. The attribute_15 is 0.08. The attribute_16 is 0.67. The attribute_17 is 0.95. The attribute_18 is 0.89. The attribute_19 is 0.67. The attribute_20 is 0.76.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.83. The attribute_1 is 0.05. The attribute_2 is 0.18. The attribute_3 is 0.2. The attribute_4 is 0.73. The attribute_5 is 0.04. The attribute_6 is 0.13. The attribute_7 is 0.82. The attribute_8 is 0.13. The attribute_9 is 0.34. The attribute_10 is 0.38. The attribute_11 is 0.1. The attribute_12 is 0.57. The attribute_13 is 0.35. The attribute_14 is 0.59. The attribute_15 is 0.63. The attribute_16 is 0.77. The attribute_17 is 0.31. The attribute_18 is 0.88. The attribute_19 is 0.8. The attribute_20 is 0.28.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.56. The attribute_1 is 0.91. The attribute_2 is 0.88. The attribute_3 is 0.21. The attribute_4 is 0.67. The attribute_5 is 0.16. The attribute_6 is 0.94. The attribute_7 is 0.15. The attribute_8 is 0.93. The attribute_9 is 0.91. The attribute_10 is 0.65. The attribute_11 is 0.97. The attribute_12 is 0.48. The attribute_13 is 0.27. The attribute_14 is 0.41. The attribute_15 is 0.2. The attribute_16 is 0.62. The attribute_17 is 0.86. The attribute_18 is 0.3. The attribute_19 is 0.33. The attribute_20 is 0.52.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.05. The attribute_1 is 0.91. The attribute_2 is 0.22. The attribute_3 is 0.07. The attribute_4 is 0.59. The attribute_5 is 0.33. The attribute_6 is 0.53. The attribute_7 is 0.0. The attribute_8 is 0.22. The attribute_9 is 0.45. The attribute_10 is 0.75. The attribute_11 is 0.99. The attribute_12 is 0.49. The attribute_13 is 0.15. The attribute_14 is 0.69. The attribute_15 is 0.57. The attribute_16 is 0.76. The attribute_17 is 0.7. The attribute_18 is 0.03. The attribute_19 is 0.55. The attribute_20 is 0.6.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.52. The attribute_1 is 0.07. The attribute_2 is 0.16. The attribute_3 is 0.55. The attribute_4 is 0.91. The attribute_5 is 0.05. The attribute_6 is 0.73. The attribute_7 is 0.4. The attribute_8 is 0.49. The attribute_9 is 0.13. The attribute_10 is 0.38. The attribute_11 is 0.37. The attribute_12 is 0.45. The attribute_13 is 0.48. The attribute_14 is 0.39. The attribute_15 is 0.18. The attribute_16 is 0.99. The attribute_17 is 0.22. The attribute_18 is 0.4. The attribute_19 is 0.75. The attribute_20 is 0.03.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.11. The attribute_1 is 0.72. The attribute_2 is 0.8. The attribute_3 is 0.69. The attribute_4 is 0.48. The attribute_5 is 0.38. The attribute_6 is 0.92. The attribute_7 is 0.21. The attribute_8 is 0.88. The attribute_9 is 0.88. The attribute_10 is 0.84. The attribute_11 is 0.98. The attribute_12 is 0.91. The attribute_13 is 0.56. The attribute_14 is 0.85. The attribute_15 is 0.46. The attribute_16 is 0.29. The attribute_17 is 0.86. The attribute_18 is 0.13. The attribute_19 is 0.07. The attribute_20 is 0.69.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.9. The attribute_1 is 0.29. The attribute_2 is 0.44. The attribute_3 is 0.06. The attribute_4 is 0.59. The attribute_5 is 0.29. The attribute_6 is 0.21. The attribute_7 is 0.99. The attribute_8 is 0.54. The attribute_9 is 0.54. The attribute_10 is 0.67. The attribute_11 is 0.08. The attribute_12 is 0.84. The attribute_13 is 0.05. The attribute_14 is 0.64. The attribute_15 is 0.82. The attribute_16 is 0.58. The attribute_17 is 0.15. The attribute_18 is 0.93. The attribute_19 is 0.66. The attribute_20 is 0.92.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.01. The attribute_1 is 0.09. The attribute_2 is 0.18. The attribute_3 is 0.68. The attribute_4 is 0.14. The attribute_5 is 0.99. The attribute_6 is 0.84. The attribute_7 is 0.02. The attribute_8 is 0.83. The attribute_9 is 0.51. The attribute_10 is 0.36. The attribute_11 is 0.76. The attribute_12 is 0.18. The attribute_13 is 0.97. The attribute_14 is 0.15. The attribute_15 is 0.22. The attribute_16 is 0.08. The attribute_17 is 0.25. The attribute_18 is 0.09. The attribute_19 is 0.15. The attribute_20 is 0.31.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.47. The attribute_1 is 0.01. The attribute_2 is 0.19. The attribute_3 is 0.93. The attribute_4 is 0.22. The attribute_5 is 0.94. The attribute_6 is 0.52. The attribute_7 is 0.06. The attribute_8 is 0.38. The attribute_9 is 0.8. The attribute_10 is 0.86. The attribute_11 is 0.16. The attribute_12 is 0.24. The attribute_13 is 0.97. The attribute_14 is 0.18. The attribute_15 is 0.17. The attribute_16 is 0.57. The attribute_17 is 0.53. The attribute_18 is 0.08. The attribute_19 is 0.43. The attribute_20 is 0.81.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.68. The attribute_1 is 0.03. The attribute_2 is 0.18. The attribute_3 is 0.15. The attribute_4 is 0.05. The attribute_5 is 0.38. The attribute_6 is 0.33. The attribute_7 is 0.66. The attribute_8 is 0.21. The attribute_9 is 0.01. The attribute_10 is 0.03. The attribute_11 is 0.41. The attribute_12 is 0.81. The attribute_13 is 0.3. The attribute_14 is 0.62. The attribute_15 is 0.75. The attribute_16 is 0.23. The attribute_17 is 0.15. The attribute_18 is 0.19. The attribute_19 is 0.2. The attribute_20 is 0.09.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.0. The attribute_1 is 0.28. The attribute_2 is 0.27. The attribute_3 is 0.98. The attribute_4 is 0.1. The attribute_5 is 0.9. The attribute_6 is 1.0. The attribute_7 is 0.26. The attribute_8 is 1.0. The attribute_9 is 0.48. The attribute_10 is 0.14. The attribute_11 is 0.92. The attribute_12 is 0.01. The attribute_13 is 0.96. The attribute_14 is 0.07. The attribute_15 is 0.15. The attribute_16 is 0.14. The attribute_17 is 0.16. The attribute_18 is 0.09. The attribute_19 is 0.25. The attribute_20 is 0.17.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.96. The attribute_1 is 0.16. The attribute_2 is 0.02. The attribute_3 is 0.02. The attribute_4 is 0.5. The attribute_5 is 0.01. The attribute_6 is 0.42. The attribute_7 is 0.75. The attribute_8 is 0.09. The attribute_9 is 0.65. The attribute_10 is 0.5. The attribute_11 is 0.38. The attribute_12 is 0.63. The attribute_13 is 0.01. The attribute_14 is 0.7. The attribute_15 is 0.19. The attribute_16 is 0.34. The attribute_17 is 0.02. The attribute_18 is 0.68. The attribute_19 is 0.48. The attribute_20 is 0.42.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.36. The attribute_1 is 0.47. The attribute_2 is 0.77. The attribute_3 is 0.73. The attribute_4 is 0.48. The attribute_5 is 0.58. The attribute_6 is 0.26. The attribute_7 is 0.51. The attribute_8 is 0.48. The attribute_9 is 0.5. The attribute_10 is 0.76. The attribute_11 is 0.21. The attribute_12 is 0.34. The attribute_13 is 0.49. The attribute_14 is 0.21. The attribute_15 is 0.12. The attribute_16 is 0.2. The attribute_17 is 0.77. The attribute_18 is 0.5. The attribute_19 is 0.03. The attribute_20 is 0.37.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.06. The attribute_1 is 0.99. The attribute_2 is 0.37. The attribute_3 is 0.16. The attribute_4 is 0.46. The attribute_5 is 0.12. The attribute_6 is 0.68. The attribute_7 is 0.16. The attribute_8 is 0.72. The attribute_9 is 0.5. The attribute_10 is 0.69. The attribute_11 is 0.43. The attribute_12 is 0.34. The attribute_13 is 0.28. The attribute_14 is 0.55. The attribute_15 is 0.44. The attribute_16 is 0.36. The attribute_17 is 0.57. The attribute_18 is 0.41. The attribute_19 is 0.43. The attribute_20 is 0.86.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.21. The attribute_1 is 0.37. The attribute_2 is 0.39. The attribute_3 is 0.16. The attribute_4 is 0.3. The attribute_5 is 0.41. The attribute_6 is 0.1. The attribute_7 is 0.6. The attribute_8 is 0.21. The attribute_9 is 0.52. The attribute_10 is 0.26. The attribute_11 is 0.87. The attribute_12 is 0.34. The attribute_13 is 0.2. The attribute_14 is 0.74. The attribute_15 is 0.69. The attribute_16 is 0.7. The attribute_17 is 0.39. The attribute_18 is 0.13. The attribute_19 is 0.39. The attribute_20 is 0.07.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.75. The attribute_1 is 0.08. The attribute_2 is 0.28. The attribute_3 is 0.13. The attribute_4 is 0.6. The attribute_5 is 0.29. The attribute_6 is 0.07. The attribute_7 is 0.85. The attribute_8 is 0.19. The attribute_9 is 0.54. The attribute_10 is 0.34. The attribute_11 is 0.05. The attribute_12 is 0.93. The attribute_13 is 0.13. The attribute_14 is 0.93. The attribute_15 is 0.92. The attribute_16 is 0.8. The attribute_17 is 0.31. The attribute_18 is 0.97. The attribute_19 is 0.93. The attribute_20 is 0.25.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.21. The attribute_1 is 0.29. The attribute_2 is 0.79. The attribute_3 is 0.59. The attribute_4 is 0.17. The attribute_5 is 0.04. The attribute_6 is 0.27. The attribute_7 is 0.26. The attribute_8 is 0.75. The attribute_9 is 0.98. The attribute_10 is 0.98. The attribute_11 is 0.03. The attribute_12 is 0.06. The attribute_13 is 0.41. The attribute_14 is 0.27. The attribute_15 is 0.48. The attribute_16 is 0.41. The attribute_17 is 0.47. The attribute_18 is 0.5. The attribute_19 is 0.37. The attribute_20 is 0.99.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.75. The attribute_1 is 0.69. The attribute_2 is 0.59. The attribute_3 is 0.85. The attribute_4 is 0.44. The attribute_5 is 0.8. The attribute_6 is 0.32. The attribute_7 is 0.74. The attribute_8 is 0.3. The attribute_9 is 0.45. The attribute_10 is 0.39. The attribute_11 is 0.51. The attribute_12 is 0.84. The attribute_13 is 0.77. The attribute_14 is 0.77. The attribute_15 is 0.71. The attribute_16 is 0.26. The attribute_17 is 0.71. The attribute_18 is 0.55. The attribute_19 is 0.53. The attribute_20 is 0.45.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.41. The attribute_1 is 0.16. The attribute_2 is 0.3. The attribute_3 is 0.43. The attribute_4 is 0.12. The attribute_5 is 0.55. The attribute_6 is 0.01. The attribute_7 is 1.0. The attribute_8 is 0.04. The attribute_9 is 0.8. The attribute_10 is 0.58. The attribute_11 is 0.04. The attribute_12 is 0.8. The attribute_13 is 0.48. The attribute_14 is 0.84. The attribute_15 is 0.83. The attribute_16 is 0.0. The attribute_17 is 0.21. The attribute_18 is 0.93. The attribute_19 is 0.03. The attribute_20 is 0.75.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.15. The attribute_1 is 0.19. The attribute_2 is 0.32. The attribute_3 is 0.5. The attribute_4 is 0.72. The attribute_5 is 0.18. The attribute_6 is 0.18. The attribute_7 is 0.56. The attribute_8 is 0.71. The attribute_9 is 0.56. The attribute_10 is 0.63. The attribute_11 is 0.29. The attribute_12 is 0.82. The attribute_13 is 0.52. The attribute_14 is 0.8. The attribute_15 is 0.56. The attribute_16 is 0.81. The attribute_17 is 0.19. The attribute_18 is 0.5. The attribute_19 is 0.61. The attribute_20 is 0.61.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.97. The attribute_1 is 0.43. The attribute_2 is 0.41. The attribute_3 is 0.37. The attribute_4 is 0.9. The attribute_5 is 0.31. The attribute_6 is 0.01. The attribute_7 is 0.99. The attribute_8 is 0.04. The attribute_9 is 0.19. The attribute_10 is 0.09. The attribute_11 is 0.1. The attribute_12 is 0.97. The attribute_13 is 0.46. The attribute_14 is 0.98. The attribute_15 is 0.93. The attribute_16 is 0.91. The attribute_17 is 0.29. The attribute_18 is 0.97. The attribute_19 is 0.95. The attribute_20 is 0.18.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.16. The attribute_1 is 0.56. The attribute_2 is 0.37. The attribute_3 is 0.44. The attribute_4 is 0.52. The attribute_5 is 0.36. The attribute_6 is 0.39. The attribute_7 is 0.42. The attribute_8 is 0.5. The attribute_9 is 0.2. The attribute_10 is 0.1. The attribute_11 is 0.46. The attribute_12 is 0.17. The attribute_13 is 0.57. The attribute_14 is 0.04. The attribute_15 is 0.16. The attribute_16 is 0.6. The attribute_17 is 0.77. The attribute_18 is 0.5. The attribute_19 is 0.52. The attribute_20 is 0.16.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.35. The attribute_1 is 0.53. The attribute_2 is 0.73. The attribute_3 is 0.57. The attribute_4 is 0.4. The attribute_5 is 0.58. The attribute_6 is 0.47. The attribute_7 is 0.35. The attribute_8 is 0.42. The attribute_9 is 0.62. The attribute_10 is 0.42. The attribute_11 is 0.44. The attribute_12 is 0.16. The attribute_13 is 0.74. The attribute_14 is 0.36. The attribute_15 is 0.43. The attribute_16 is 0.29. The attribute_17 is 0.68. The attribute_18 is 0.46. The attribute_19 is 0.45. The attribute_20 is 0.82.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.15. The attribute_1 is 0.26. The attribute_2 is 0.53. The attribute_3 is 0.05. The attribute_4 is 0.73. The attribute_5 is 0.04. The attribute_6 is 0.27. The attribute_7 is 0.54. The attribute_8 is 0.45. The attribute_9 is 0.91. The attribute_10 is 0.92. The attribute_11 is 0.18. The attribute_12 is 0.71. The attribute_13 is 0.02. The attribute_14 is 0.93. The attribute_15 is 0.89. The attribute_16 is 0.79. The attribute_17 is 0.36. The attribute_18 is 0.56. The attribute_19 is 0.37. The attribute_20 is 0.8.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.45. The attribute_1 is 0.87. The attribute_2 is 0.73. The attribute_3 is 0.73. The attribute_4 is 0.16. The attribute_5 is 0.8. The attribute_6 is 0.99. The attribute_7 is 0.17. The attribute_8 is 0.76. The attribute_9 is 0.93. The attribute_10 is 0.67. The attribute_11 is 0.86. The attribute_12 is 0.42. The attribute_13 is 0.83. The attribute_14 is 0.49. The attribute_15 is 0.56. The attribute_16 is 0.21. The attribute_17 is 0.94. The attribute_18 is 0.1. The attribute_19 is 0.34. The attribute_20 is 0.61.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.08. The attribute_1 is 0.92. The attribute_2 is 0.96. The attribute_3 is 0.87. The attribute_4 is 0.42. The attribute_5 is 0.54. The attribute_6 is 0.96. The attribute_7 is 0.16. The attribute_8 is 0.95. The attribute_9 is 0.72. The attribute_10 is 0.76. The attribute_11 is 0.84. The attribute_12 is 0.65. The attribute_13 is 0.63. The attribute_14 is 0.69. The attribute_15 is 0.57. The attribute_16 is 0.53. The attribute_17 is 0.95. The attribute_18 is 0.11. The attribute_19 is 0.62. The attribute_20 is 0.44.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.93. The attribute_1 is 0.75. The attribute_2 is 0.27. The attribute_3 is 0.35. The attribute_4 is 0.44. The attribute_5 is 0.17. The attribute_6 is 0.42. The attribute_7 is 0.73. The attribute_8 is 0.25. The attribute_9 is 0.07. The attribute_10 is 0.1. The attribute_11 is 0.49. The attribute_12 is 0.44. The attribute_13 is 0.43. The attribute_14 is 0.55. The attribute_15 is 0.46. The attribute_16 is 0.8. The attribute_17 is 0.63. The attribute_18 is 0.67. The attribute_19 is 0.81. The attribute_20 is 0.18.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.49. The attribute_1 is 0.16. The attribute_2 is 0.14. The attribute_3 is 0.9. The attribute_4 is 0.62. The attribute_5 is 0.75. The attribute_6 is 0.14. The attribute_7 is 0.38. The attribute_8 is 0.12. The attribute_9 is 0.22. The attribute_10 is 0.19. The attribute_11 is 0.13. The attribute_12 is 0.21. The attribute_13 is 0.91. The attribute_14 is 0.1. The attribute_15 is 0.16. The attribute_16 is 0.81. The attribute_17 is 0.1. The attribute_18 is 0.2. The attribute_19 is 0.93. The attribute_20 is 0.34.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.08. The attribute_1 is 0.45. The attribute_2 is 0.8. The attribute_3 is 0.7. The attribute_4 is 0.96. The attribute_5 is 0.93. The attribute_6 is 0.88. The attribute_7 is 0.23. The attribute_8 is 0.97. The attribute_9 is 0.69. The attribute_10 is 0.9. The attribute_11 is 0.55. The attribute_12 is 0.42. The attribute_13 is 0.83. The attribute_14 is 0.47. The attribute_15 is 0.82. The attribute_16 is 0.81. The attribute_17 is 0.81. The attribute_18 is 0.44. The attribute_19 is 0.71. The attribute_20 is 0.57.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.79. The attribute_1 is 0.48. The attribute_2 is 0.74. The attribute_3 is 0.42. The attribute_4 is 0.94. The attribute_5 is 0.23. The attribute_6 is 0.55. The attribute_7 is 0.79. The attribute_8 is 0.36. The attribute_9 is 0.13. The attribute_10 is 0.15. The attribute_11 is 0.77. The attribute_12 is 0.92. The attribute_13 is 0.55. The attribute_14 is 0.8. The attribute_15 is 0.88. The attribute_16 is 0.82. The attribute_17 is 0.78. The attribute_18 is 0.08. The attribute_19 is 0.86. The attribute_20 is 0.16.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.54. The attribute_1 is 0.79. The attribute_2 is 0.96. The attribute_3 is 0.93. The attribute_4 is 0.59. The attribute_5 is 0.47. The attribute_6 is 0.91. The attribute_7 is 0.42. The attribute_8 is 0.86. The attribute_9 is 0.49. The attribute_10 is 0.8. The attribute_11 is 0.7. The attribute_12 is 0.16. The attribute_13 is 0.7. The attribute_14 is 0.39. The attribute_15 is 0.65. The attribute_16 is 0.79. The attribute_17 is 0.9. The attribute_18 is 0.8. The attribute_19 is 0.64. The attribute_20 is 0.78.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.45. The attribute_1 is 0.18. The attribute_2 is 0.23. The attribute_3 is 0.74. The attribute_4 is 0.82. The attribute_5 is 0.67. The attribute_6 is 0.71. The attribute_7 is 0.36. The attribute_8 is 0.66. The attribute_9 is 0.22. The attribute_10 is 0.34. The attribute_11 is 0.84. The attribute_12 is 0.77. The attribute_13 is 0.47. The attribute_14 is 0.67. The attribute_15 is 0.43. The attribute_16 is 0.86. The attribute_17 is 0.22. The attribute_18 is 0.41. The attribute_19 is 0.93. The attribute_20 is 0.35.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.99. The attribute_1 is 0.75. The attribute_2 is 0.87. The attribute_3 is 0.68. The attribute_4 is 0.17. The attribute_5 is 0.8. The attribute_6 is 0.02. The attribute_7 is 0.99. The attribute_8 is 0.11. The attribute_9 is 0.77. The attribute_10 is 0.71. The attribute_11 is 0.01. The attribute_12 is 0.13. The attribute_13 is 0.83. The attribute_14 is 0.01. The attribute_15 is 0.0. The attribute_16 is 0.14. The attribute_17 is 0.97. The attribute_18 is 0.92. The attribute_19 is 0.24. The attribute_20 is 0.78.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.81. The attribute_1 is 0.9. The attribute_2 is 0.34. The attribute_3 is 0.85. The attribute_4 is 0.08. The attribute_5 is 0.89. The attribute_6 is 0.03. The attribute_7 is 0.63. The attribute_8 is 0.37. The attribute_9 is 0.4. The attribute_10 is 0.28. The attribute_11 is 0.13. The attribute_12 is 0.94. The attribute_13 is 0.87. The attribute_14 is 0.51. The attribute_15 is 0.62. The attribute_16 is 0.22. The attribute_17 is 0.02. The attribute_18 is 0.06. The attribute_19 is 0.25. The attribute_20 is 0.03.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.79. The attribute_1 is 0.37. The attribute_2 is 0.71. The attribute_3 is 0.12. The attribute_4 is 0.26. The attribute_5 is 0.47. The attribute_6 is 0.65. The attribute_7 is 0.4. The attribute_8 is 0.87. The attribute_9 is 0.94. The attribute_10 is 0.56. The attribute_11 is 0.63. The attribute_12 is 0.5. The attribute_13 is 0.52. The attribute_14 is 0.49. The attribute_15 is 0.05. The attribute_16 is 0.51. The attribute_17 is 0.37. The attribute_18 is 0.43. The attribute_19 is 0.2. The attribute_20 is 0.51.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.76. The attribute_1 is 0.19. The attribute_2 is 0.22. The attribute_3 is 0.01. The attribute_4 is 0.59. The attribute_5 is 0.03. The attribute_6 is 0.07. The attribute_7 is 0.96. The attribute_8 is 0.15. The attribute_9 is 0.48. The attribute_10 is 0.36. The attribute_11 is 0.21. The attribute_12 is 0.73. The attribute_13 is 0.02. The attribute_14 is 0.89. The attribute_15 is 0.64. The attribute_16 is 0.82. The attribute_17 is 0.11. The attribute_18 is 0.83. The attribute_19 is 0.67. The attribute_20 is 0.5.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.68. The attribute_1 is 0.33. The attribute_2 is 0.17. The attribute_3 is 0.25. The attribute_4 is 0.85. The attribute_5 is 0.65. The attribute_6 is 0.17. The attribute_7 is 0.81. The attribute_8 is 0.24. The attribute_9 is 0.61. The attribute_10 is 0.51. The attribute_11 is 0.2. The attribute_12 is 0.33. The attribute_13 is 0.27. The attribute_14 is 0.56. The attribute_15 is 0.51. The attribute_16 is 0.82. The attribute_17 is 0.31. The attribute_18 is 0.82. The attribute_19 is 0.81. The attribute_20 is 0.56.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.11. The attribute_1 is 0.24. The attribute_2 is 0.3. The attribute_3 is 0.94. The attribute_4 is 0.17. The attribute_5 is 0.82. The attribute_6 is 0.56. The attribute_7 is 0.17. The attribute_8 is 0.41. The attribute_9 is 0.17. The attribute_10 is 0.12. The attribute_11 is 0.54. The attribute_12 is 0.54. The attribute_13 is 0.95. The attribute_14 is 0.46. The attribute_15 is 0.44. The attribute_16 is 0.6. The attribute_17 is 0.39. The attribute_18 is 0.16. The attribute_19 is 0.64. The attribute_20 is 0.3.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.46. The attribute_1 is 0.39. The attribute_2 is 0.23. The attribute_3 is 0.1. The attribute_4 is 0.4. The attribute_5 is 0.31. The attribute_6 is 0.51. The attribute_7 is 0.58. The attribute_8 is 0.82. The attribute_9 is 0.53. The attribute_10 is 0.33. The attribute_11 is 0.79. The attribute_12 is 0.75. The attribute_13 is 0.17. The attribute_14 is 0.94. The attribute_15 is 0.74. The attribute_16 is 0.38. The attribute_17 is 0.3. The attribute_18 is 0.32. The attribute_19 is 0.28. The attribute_20 is 0.23.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.35. The attribute_1 is 0.18. The attribute_2 is 0.22. The attribute_3 is 0.34. The attribute_4 is 0.9. The attribute_5 is 0.69. The attribute_6 is 0.13. The attribute_7 is 0.68. The attribute_8 is 0.29. The attribute_9 is 0.22. The attribute_10 is 0.05. The attribute_11 is 0.02. The attribute_12 is 0.97. The attribute_13 is 0.2. The attribute_14 is 0.96. The attribute_15 is 0.89. The attribute_16 is 0.93. The attribute_17 is 0.01. The attribute_18 is 0.94. The attribute_19 is 0.82. The attribute_20 is 0.06.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.03. The attribute_1 is 0.7. The attribute_2 is 0.8. The attribute_3 is 0.61. The attribute_4 is 0.53. The attribute_5 is 0.8. The attribute_6 is 0.9. The attribute_7 is 0.05. The attribute_8 is 0.96. The attribute_9 is 0.46. The attribute_10 is 0.22. The attribute_11 is 0.99. The attribute_12 is 0.42. The attribute_13 is 0.82. The attribute_14 is 0.45. The attribute_15 is 0.57. The attribute_16 is 0.21. The attribute_17 is 0.76. The attribute_18 is 0.26. The attribute_19 is 0.28. The attribute_20 is 0.17.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.78. The attribute_1 is 0.62. The attribute_2 is 0.07. The attribute_3 is 0.39. The attribute_4 is 0.21. The attribute_5 is 0.64. The attribute_6 is 0.59. The attribute_7 is 0.51. The attribute_8 is 0.24. The attribute_9 is 0.15. The attribute_10 is 0.35. The attribute_11 is 0.72. The attribute_12 is 0.15. The attribute_13 is 0.46. The attribute_14 is 0.17. The attribute_15 is 0.16. The attribute_16 is 0.05. The attribute_17 is 0.5. The attribute_18 is 0.48. The attribute_19 is 0.09. The attribute_20 is 0.48.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.19. The attribute_1 is 0.53. The attribute_2 is 0.72. The attribute_3 is 0.87. The attribute_4 is 0.75. The attribute_5 is 0.78. The attribute_6 is 0.77. The attribute_7 is 0.29. The attribute_8 is 0.9. The attribute_9 is 0.68. The attribute_10 is 0.31. The attribute_11 is 0.74. The attribute_12 is 0.67. The attribute_13 is 0.79. The attribute_14 is 0.55. The attribute_15 is 0.51. The attribute_16 is 0.85. The attribute_17 is 0.68. The attribute_18 is 0.22. The attribute_19 is 0.8. The attribute_20 is 0.21.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.55. The attribute_1 is 0.61. The attribute_2 is 0.25. The attribute_3 is 0.63. The attribute_4 is 0.38. The attribute_5 is 0.65. The attribute_6 is 0.33. The attribute_7 is 0.45. The attribute_8 is 0.25. The attribute_9 is 0.39. The attribute_10 is 0.9. The attribute_11 is 0.16. The attribute_12 is 0.58. The attribute_13 is 0.69. The attribute_14 is 0.79. The attribute_15 is 0.69. The attribute_16 is 0.34. The attribute_17 is 0.51. The attribute_18 is 0.43. The attribute_19 is 0.33. The attribute_20 is 0.97.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.34. The attribute_1 is 0.73. The attribute_2 is 0.86. The attribute_3 is 0.94. The attribute_4 is 0.04. The attribute_5 is 0.9. The attribute_6 is 0.47. The attribute_7 is 0.39. The attribute_8 is 0.43. The attribute_9 is 0.77. The attribute_10 is 0.82. The attribute_11 is 0.79. The attribute_12 is 0.06. The attribute_13 is 0.85. The attribute_14 is 0.02. The attribute_15 is 0.02. The attribute_16 is 0.12. The attribute_17 is 0.73. The attribute_18 is 0.29. The attribute_19 is 0.15. The attribute_20 is 0.77.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.8. The attribute_1 is 0.77. The attribute_2 is 0.11. The attribute_3 is 0.2. The attribute_4 is 0.4. The attribute_5 is 0.57. The attribute_6 is 0.44. The attribute_7 is 0.62. The attribute_8 is 0.12. The attribute_9 is 0.06. The attribute_10 is 0.36. The attribute_11 is 0.73. The attribute_12 is 0.66. The attribute_13 is 0.39. The attribute_14 is 0.52. The attribute_15 is 0.61. The attribute_16 is 0.41. The attribute_17 is 0.53. The attribute_18 is 0.34. The attribute_19 is 0.6. The attribute_20 is 0.41.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.53. The attribute_1 is 0.09. The attribute_2 is 0.54. The attribute_3 is 0.16. The attribute_4 is 0.41. The attribute_5 is 0.39. The attribute_6 is 0.06. The attribute_7 is 0.62. The attribute_8 is 0.43. The attribute_9 is 0.76. The attribute_10 is 0.89. The attribute_11 is 0.04. The attribute_12 is 0.29. The attribute_13 is 0.35. The attribute_14 is 0.14. The attribute_15 is 0.08. The attribute_16 is 0.68. The attribute_17 is 0.22. The attribute_18 is 0.74. The attribute_19 is 0.63. The attribute_20 is 0.86.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.74. The attribute_1 is 0.39. The attribute_2 is 0.25. The attribute_3 is 0.4. The attribute_4 is 0.42. The attribute_5 is 0.91. The attribute_6 is 0.71. The attribute_7 is 0.25. The attribute_8 is 0.33. The attribute_9 is 0.2. The attribute_10 is 0.65. The attribute_11 is 0.58. The attribute_12 is 0.29. The attribute_13 is 0.88. The attribute_14 is 0.33. The attribute_15 is 0.6. The attribute_16 is 0.54. The attribute_17 is 0.52. The attribute_18 is 0.35. The attribute_19 is 0.66. The attribute_20 is 0.36.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.63. The attribute_1 is 0.16. The attribute_2 is 0.28. The attribute_3 is 0.18. The attribute_4 is 0.85. The attribute_5 is 0.04. The attribute_6 is 0.21. The attribute_7 is 0.78. The attribute_8 is 0.19. The attribute_9 is 0.25. The attribute_10 is 0.2. The attribute_11 is 0.07. The attribute_12 is 0.58. The attribute_13 is 0.08. The attribute_14 is 0.3. The attribute_15 is 0.34. The attribute_16 is 0.69. The attribute_17 is 0.23. The attribute_18 is 0.83. The attribute_19 is 0.79. The attribute_20 is 0.23.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.24. The attribute_1 is 0.53. The attribute_2 is 0.35. The attribute_3 is 0.93. The attribute_4 is 0.39. The attribute_5 is 0.62. The attribute_6 is 0.82. The attribute_7 is 0.18. The attribute_8 is 0.79. The attribute_9 is 0.24. The attribute_10 is 0.42. The attribute_11 is 0.96. The attribute_12 is 0.58. The attribute_13 is 0.78. The attribute_14 is 0.81. The attribute_15 is 0.99. The attribute_16 is 0.66. The attribute_17 is 0.46. The attribute_18 is 0.36. The attribute_19 is 0.83. The attribute_20 is 0.62.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.08. The attribute_1 is 0.82. The attribute_2 is 0.84. The attribute_3 is 0.86. The attribute_4 is 0.38. The attribute_5 is 0.81. The attribute_6 is 0.4. The attribute_7 is 0.3. The attribute_8 is 0.68. The attribute_9 is 0.57. The attribute_10 is 0.76. The attribute_11 is 0.8. The attribute_12 is 0.54. The attribute_13 is 0.65. The attribute_14 is 0.51. The attribute_15 is 0.51. The attribute_16 is 0.37. The attribute_17 is 0.57. The attribute_18 is 0.29. The attribute_19 is 0.61. The attribute_20 is 0.99.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.36. The attribute_1 is 0.33. The attribute_2 is 0.78. The attribute_3 is 0.95. The attribute_4 is 0.58. The attribute_5 is 0.61. The attribute_6 is 0.51. The attribute_7 is 0.41. The attribute_8 is 0.43. The attribute_9 is 0.63. The attribute_10 is 0.48. The attribute_11 is 0.54. The attribute_12 is 0.64. The attribute_13 is 0.96. The attribute_14 is 0.64. The attribute_15 is 0.35. The attribute_16 is 0.2. The attribute_17 is 0.89. The attribute_18 is 0.63. The attribute_19 is 0.14. The attribute_20 is 0.35.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.08. The attribute_1 is 0.98. The attribute_2 is 0.96. The attribute_3 is 0.79. The attribute_4 is 0.9. The attribute_5 is 0.94. The attribute_6 is 0.78. The attribute_7 is 0.38. The attribute_8 is 0.95. The attribute_9 is 0.84. The attribute_10 is 0.8. The attribute_11 is 0.48. The attribute_12 is 0.06. The attribute_13 is 0.95. The attribute_14 is 0.02. The attribute_15 is 0.0. The attribute_16 is 0.52. The attribute_17 is 1.0. The attribute_18 is 0.02. The attribute_19 is 0.37. The attribute_20 is 0.49.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.2. The attribute_1 is 0.68. The attribute_2 is 0.53. The attribute_3 is 0.9. The attribute_4 is 0.27. The attribute_5 is 0.89. The attribute_6 is 0.75. The attribute_7 is 0.21. The attribute_8 is 0.63. The attribute_9 is 0.45. The attribute_10 is 0.8. The attribute_11 is 0.7. The attribute_12 is 0.21. The attribute_13 is 0.98. The attribute_14 is 0.08. The attribute_15 is 0.29. The attribute_16 is 0.04. The attribute_17 is 0.7. The attribute_18 is 0.16. The attribute_19 is 0.19. The attribute_20 is 0.83.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.36. The attribute_1 is 0.35. The attribute_2 is 0.58. The attribute_3 is 0.37. The attribute_4 is 0.24. The attribute_5 is 0.33. The attribute_6 is 0.61. The attribute_7 is 0.53. The attribute_8 is 0.58. The attribute_9 is 0.76. The attribute_10 is 0.77. The attribute_11 is 0.45. The attribute_12 is 0.46. The attribute_13 is 0.62. The attribute_14 is 0.36. The attribute_15 is 0.56. The attribute_16 is 0.31. The attribute_17 is 0.71. The attribute_18 is 0.77. The attribute_19 is 0.37. The attribute_20 is 0.61.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.82. The attribute_1 is 0.1. The attribute_2 is 0.19. The attribute_3 is 0.0. The attribute_4 is 0.2. The attribute_5 is 0.01. The attribute_6 is 0.16. The attribute_7 is 0.78. The attribute_8 is 0.1. The attribute_9 is 0.45. The attribute_10 is 0.3. The attribute_11 is 0.01. The attribute_12 is 0.5. The attribute_13 is 0.07. The attribute_14 is 0.55. The attribute_15 is 0.58. The attribute_16 is 0.42. The attribute_17 is 0.11. The attribute_18 is 0.97. The attribute_19 is 0.39. The attribute_20 is 0.61.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.96. The attribute_1 is 0.74. The attribute_2 is 0.65. The attribute_3 is 0.78. The attribute_4 is 0.19. The attribute_5 is 0.77. The attribute_6 is 0.11. The attribute_7 is 1.0. The attribute_8 is 0.15. The attribute_9 is 0.63. The attribute_10 is 0.54. The attribute_11 is 0.04. The attribute_12 is 0.5. The attribute_13 is 0.82. The attribute_14 is 0.16. The attribute_15 is 0.16. The attribute_16 is 0.28. The attribute_17 is 0.78. The attribute_18 is 0.98. The attribute_19 is 0.26. The attribute_20 is 0.49.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.04. The attribute_1 is 0.11. The attribute_2 is 0.63. The attribute_3 is 0.48. The attribute_4 is 0.89. The attribute_5 is 0.01. The attribute_6 is 0.67. The attribute_7 is 0.0. The attribute_8 is 0.38. The attribute_9 is 0.52. The attribute_10 is 0.87. The attribute_11 is 0.38. The attribute_12 is 0.48. The attribute_13 is 0.78. The attribute_14 is 0.19. The attribute_15 is 0.49. The attribute_16 is 0.62. The attribute_17 is 0.78. The attribute_18 is 0.06. The attribute_19 is 0.95. The attribute_20 is 0.96.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.06. The attribute_1 is 0.99. The attribute_2 is 0.92. The attribute_3 is 0.4. The attribute_4 is 0.17. The attribute_5 is 0.26. The attribute_6 is 0.84. The attribute_7 is 0.11. The attribute_8 is 0.9. The attribute_9 is 0.54. The attribute_10 is 0.5. The attribute_11 is 0.71. The attribute_12 is 0.35. The attribute_13 is 0.49. The attribute_14 is 0.68. The attribute_15 is 0.56. The attribute_16 is 0.43. The attribute_17 is 0.9. The attribute_18 is 0.08. The attribute_19 is 0.43. The attribute_20 is 0.73.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.05. The attribute_1 is 0.84. The attribute_2 is 1.0. The attribute_3 is 0.76. The attribute_4 is 0.98. The attribute_5 is 0.65. The attribute_6 is 0.8. The attribute_7 is 0.25. The attribute_8 is 1.0. The attribute_9 is 0.32. The attribute_10 is 0.32. The attribute_11 is 0.54. The attribute_12 is 0.6. The attribute_13 is 0.75. The attribute_14 is 0.65. The attribute_15 is 0.66. The attribute_16 is 0.93. The attribute_17 is 0.95. The attribute_18 is 0.36. The attribute_19 is 0.99. The attribute_20 is 0.22.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.06. The attribute_1 is 0.54. The attribute_2 is 0.88. The attribute_3 is 0.72. The attribute_4 is 0.48. The attribute_5 is 0.48. The attribute_6 is 0.8. The attribute_7 is 0.25. The attribute_8 is 0.93. The attribute_9 is 0.89. The attribute_10 is 0.92. The attribute_11 is 0.54. The attribute_12 is 0.45. The attribute_13 is 0.62. The attribute_14 is 0.43. The attribute_15 is 0.35. The attribute_16 is 0.34. The attribute_17 is 0.87. The attribute_18 is 0.56. The attribute_19 is 0.57. The attribute_20 is 0.69.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.99. The attribute_1 is 0.76. The attribute_2 is 0.7. The attribute_3 is 0.55. The attribute_4 is 0.85. The attribute_5 is 0.41. The attribute_6 is 0.51. The attribute_7 is 0.94. The attribute_8 is 0.61. The attribute_9 is 0.75. The attribute_10 is 0.67. The attribute_11 is 0.5. The attribute_12 is 0.27. The attribute_13 is 0.25. The attribute_14 is 0.5. The attribute_15 is 0.81. The attribute_16 is 0.81. The attribute_17 is 0.65. The attribute_18 is 0.51. The attribute_19 is 0.37. The attribute_20 is 0.68.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.92. The attribute_1 is 0.01. The attribute_2 is 0.34. The attribute_3 is 0.9. The attribute_4 is 0.91. The attribute_5 is 0.87. The attribute_6 is 0.23. The attribute_7 is 0.9. The attribute_8 is 0.24. The attribute_9 is 0.0. The attribute_10 is 0.02. The attribute_11 is 0.05. The attribute_12 is 0.2. The attribute_13 is 0.8. The attribute_14 is 0.49. The attribute_15 is 0.63. The attribute_16 is 1.0. The attribute_17 is 0.49. The attribute_18 is 0.86. The attribute_19 is 1.0. The attribute_20 is 0.15.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.95. The attribute_1 is 0.43. The attribute_2 is 0.45. The attribute_3 is 0.69. The attribute_4 is 0.47. The attribute_5 is 0.77. The attribute_6 is 0.31. The attribute_7 is 0.84. The attribute_8 is 0.2. The attribute_9 is 0.42. The attribute_10 is 0.5. The attribute_11 is 0.09. The attribute_12 is 0.36. The attribute_13 is 0.71. The attribute_14 is 0.18. The attribute_15 is 0.73. The attribute_16 is 0.28. The attribute_17 is 0.44. The attribute_18 is 0.94. The attribute_19 is 0.53. The attribute_20 is 0.49.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.18. The attribute_1 is 0.2. The attribute_2 is 0.31. The attribute_3 is 0.38. The attribute_4 is 0.82. The attribute_5 is 0.35. The attribute_6 is 0.48. The attribute_7 is 0.1. The attribute_8 is 0.76. The attribute_9 is 0.34. The attribute_10 is 0.45. The attribute_11 is 0.41. The attribute_12 is 0.71. The attribute_13 is 0.35. The attribute_14 is 0.61. The attribute_15 is 0.49. The attribute_16 is 0.8. The attribute_17 is 0.37. The attribute_18 is 0.24. The attribute_19 is 0.66. The attribute_20 is 0.37.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.7. The attribute_1 is 0.13. The attribute_2 is 0.25. The attribute_3 is 0.08. The attribute_4 is 0.36. The attribute_5 is 0.45. The attribute_6 is 0.44. The attribute_7 is 0.3. The attribute_8 is 0.27. The attribute_9 is 0.17. The attribute_10 is 0.46. The attribute_11 is 0.31. The attribute_12 is 0.97. The attribute_13 is 0.43. The attribute_14 is 0.91. The attribute_15 is 0.92. The attribute_16 is 0.47. The attribute_17 is 0.46. The attribute_18 is 0.17. The attribute_19 is 0.18. The attribute_20 is 0.21.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.29. The attribute_1 is 0.6. The attribute_2 is 0.76. The attribute_3 is 0.52. The attribute_4 is 0.6. The attribute_5 is 0.69. The attribute_6 is 0.72. The attribute_7 is 0.17. The attribute_8 is 0.58. The attribute_9 is 0.0. The attribute_10 is 0.0. The attribute_11 is 0.52. The attribute_12 is 0.27. The attribute_13 is 0.8. The attribute_14 is 0.14. The attribute_15 is 0.39. The attribute_16 is 0.47. The attribute_17 is 0.86. The attribute_18 is 0.53. The attribute_19 is 0.78. The attribute_20 is 0.01.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.49. The attribute_1 is 0.05. The attribute_2 is 0.44. The attribute_3 is 0.03. The attribute_4 is 0.96. The attribute_5 is 0.05. The attribute_6 is 0.39. The attribute_7 is 0.45. The attribute_8 is 0.53. The attribute_9 is 0.78. The attribute_10 is 0.93. The attribute_11 is 0.05. The attribute_12 is 0.87. The attribute_13 is 0.02. The attribute_14 is 0.52. The attribute_15 is 0.5. The attribute_16 is 0.66. The attribute_17 is 0.61. The attribute_18 is 0.95. The attribute_19 is 0.92. The attribute_20 is 0.33.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.72. The attribute_1 is 0.15. The attribute_2 is 0.09. The attribute_3 is 0.03. The attribute_4 is 0.15. The attribute_5 is 0.46. The attribute_6 is 0.07. The attribute_7 is 0.84. The attribute_8 is 0.07. The attribute_9 is 0.22. The attribute_10 is 0.19. The attribute_11 is 0.19. The attribute_12 is 0.76. The attribute_13 is 0.02. The attribute_14 is 0.85. The attribute_15 is 0.89. The attribute_16 is 0.42. The attribute_17 is 0.07. The attribute_18 is 0.81. The attribute_19 is 0.7. The attribute_20 is 0.23.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.93. The attribute_1 is 0.32. The attribute_2 is 0.33. The attribute_3 is 0.04. The attribute_4 is 0.55. The attribute_5 is 0.11. The attribute_6 is 0.36. The attribute_7 is 0.7. The attribute_8 is 0.21. The attribute_9 is 0.32. The attribute_10 is 0.27. The attribute_11 is 0.59. The attribute_12 is 0.54. The attribute_13 is 0.1. The attribute_14 is 0.52. The attribute_15 is 0.88. The attribute_16 is 0.63. The attribute_17 is 0.44. The attribute_18 is 0.55. The attribute_19 is 0.87. The attribute_20 is 0.33.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.17. The attribute_1 is 0.57. The attribute_2 is 0.4. The attribute_3 is 0.76. The attribute_4 is 0.04. The attribute_5 is 0.59. The attribute_6 is 0.43. The attribute_7 is 0.41. The attribute_8 is 0.7. The attribute_9 is 0.39. The attribute_10 is 0.21. The attribute_11 is 0.46. The attribute_12 is 0.53. The attribute_13 is 0.66. The attribute_14 is 0.42. The attribute_15 is 0.46. The attribute_16 is 0.07. The attribute_17 is 0.42. The attribute_18 is 0.27. The attribute_19 is 0.15. The attribute_20 is 0.4.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.32. The attribute_1 is 0.75. The attribute_2 is 0.9. The attribute_3 is 0.48. The attribute_4 is 0.45. The attribute_5 is 0.49. The attribute_6 is 0.66. The attribute_7 is 0.38. The attribute_8 is 0.79. The attribute_9 is 0.69. The attribute_10 is 0.91. The attribute_11 is 0.62. The attribute_12 is 0.67. The attribute_13 is 0.48. The attribute_14 is 0.52. The attribute_15 is 0.72. The attribute_16 is 0.38. The attribute_17 is 0.81. The attribute_18 is 0.48. The attribute_19 is 0.5. The attribute_20 is 0.92.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.72. The attribute_1 is 0.41. The attribute_2 is 0.19. The attribute_3 is 0.35. The attribute_4 is 0.07. The attribute_5 is 0.13. The attribute_6 is 0.41. The attribute_7 is 0.65. The attribute_8 is 0.29. The attribute_9 is 0.07. The attribute_10 is 0.16. The attribute_11 is 0.62. The attribute_12 is 0.11. The attribute_13 is 0.42. The attribute_14 is 0.1. The attribute_15 is 0.26. The attribute_16 is 0.3. The attribute_17 is 0.23. The attribute_18 is 0.83. The attribute_19 is 0.1. The attribute_20 is 0.31.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.18. The attribute_1 is 0.19. The attribute_2 is 0.28. The attribute_3 is 0.66. The attribute_4 is 0.99. The attribute_5 is 0.35. The attribute_6 is 0.11. The attribute_7 is 0.62. The attribute_8 is 0.54. The attribute_9 is 0.18. The attribute_10 is 0.31. The attribute_11 is 0.01. The attribute_12 is 0.72. The attribute_13 is 0.35. The attribute_14 is 0.46. The attribute_15 is 0.47. The attribute_16 is 0.7. The attribute_17 is 0.2. The attribute_18 is 0.9. The attribute_19 is 0.45. The attribute_20 is 0.27.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.67. The attribute_1 is 0.84. The attribute_2 is 0.41. The attribute_3 is 0.17. The attribute_4 is 0.2. The attribute_5 is 0.43. The attribute_6 is 0.99. The attribute_7 is 0.36. The attribute_8 is 0.93. The attribute_9 is 0.87. The attribute_10 is 0.71. The attribute_11 is 0.86. The attribute_12 is 0.56. The attribute_13 is 0.08. The attribute_14 is 0.58. The attribute_15 is 0.38. The attribute_16 is 0.37. The attribute_17 is 0.37. The attribute_18 is 0.08. The attribute_19 is 0.21. The attribute_20 is 0.54.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.82. The attribute_1 is 0.5. The attribute_2 is 0.1. The attribute_3 is 0.04. The attribute_4 is 0.6. The attribute_5 is 0.04. The attribute_6 is 0.1. The attribute_7 is 0.87. The attribute_8 is 0.0. The attribute_9 is 0.29. The attribute_10 is 0.39. The attribute_11 is 0.12. The attribute_12 is 0.88. The attribute_13 is 0.27. The attribute_14 is 0.92. The attribute_15 is 0.99. The attribute_16 is 0.81. The attribute_17 is 0.14. The attribute_18 is 0.9. The attribute_19 is 0.7. The attribute_20 is 0.41.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.88. The attribute_1 is 0.16. The attribute_2 is 0.35. The attribute_3 is 0.15. The attribute_4 is 0.67. The attribute_5 is 0.07. The attribute_6 is 0.47. The attribute_7 is 0.86. The attribute_8 is 0.53. The attribute_9 is 0.41. The attribute_10 is 0.5. The attribute_11 is 0.28. The attribute_12 is 0.52. The attribute_13 is 0.14. The attribute_14 is 0.62. The attribute_15 is 0.7. The attribute_16 is 0.76. The attribute_17 is 0.47. The attribute_18 is 0.93. The attribute_19 is 0.86. The attribute_20 is 0.74.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.05. The attribute_1 is 0.76. The attribute_2 is 0.93. The attribute_3 is 0.9. The attribute_4 is 0.02. The attribute_5 is 0.86. The attribute_6 is 0.91. The attribute_7 is 0.01. The attribute_8 is 0.91. The attribute_9 is 0.97. The attribute_10 is 0.95. The attribute_11 is 0.74. The attribute_12 is 0.6. The attribute_13 is 0.8. The attribute_14 is 0.6. The attribute_15 is 0.41. The attribute_16 is 0.19. The attribute_17 is 0.9. The attribute_18 is 0.05. The attribute_19 is 0.07. The attribute_20 is 0.93.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.06. The attribute_1 is 0.78. The attribute_2 is 0.72. The attribute_3 is 0.89. The attribute_4 is 0.66. The attribute_5 is 0.59. The attribute_6 is 0.92. The attribute_7 is 0.12. The attribute_8 is 0.88. The attribute_9 is 0.07. The attribute_10 is 0.14. The attribute_11 is 0.66. The attribute_12 is 0.08. The attribute_13 is 0.8. The attribute_14 is 0.05. The attribute_15 is 0.15. The attribute_16 is 0.43. The attribute_17 is 0.75. The attribute_18 is 0.54. The attribute_19 is 0.73. The attribute_20 is 0.04.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.61. The attribute_1 is 0.98. The attribute_2 is 0.78. The attribute_3 is 0.18. The attribute_4 is 0.3. The attribute_5 is 0.17. The attribute_6 is 0.32. The attribute_7 is 0.59. The attribute_8 is 0.52. The attribute_9 is 0.84. The attribute_10 is 0.84. The attribute_11 is 0.6. The attribute_12 is 0.18. The attribute_13 is 0.47. The attribute_14 is 0.45. The attribute_15 is 0.13. The attribute_16 is 0.7. The attribute_17 is 0.73. The attribute_18 is 0.46. The attribute_19 is 0.78. The attribute_20 is 0.97.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.58. The attribute_1 is 0.8. The attribute_2 is 0.65. The attribute_3 is 0.06. The attribute_4 is 0.68. The attribute_5 is 0.24. The attribute_6 is 0.32. The attribute_7 is 0.73. The attribute_8 is 0.41. The attribute_9 is 0.85. The attribute_10 is 0.75. The attribute_11 is 0.54. The attribute_12 is 0.5. The attribute_13 is 0.11. The attribute_14 is 0.48. The attribute_15 is 0.34. The attribute_16 is 0.64. The attribute_17 is 0.64. The attribute_18 is 0.55. The attribute_19 is 0.4. The attribute_20 is 0.5.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.86. The attribute_1 is 0.21. The attribute_2 is 0.4. The attribute_3 is 0.24. The attribute_4 is 0.24. The attribute_5 is 0.07. The attribute_6 is 0.64. The attribute_7 is 0.58. The attribute_8 is 0.2. The attribute_9 is 0.92. The attribute_10 is 0.88. The attribute_11 is 0.25. The attribute_12 is 0.37. The attribute_13 is 0.05. The attribute_14 is 0.54. The attribute_15 is 0.26. The attribute_16 is 0.38. The attribute_17 is 0.21. The attribute_18 is 0.95. The attribute_19 is 0.36. The attribute_20 is 0.73.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.82. The attribute_1 is 0.17. The attribute_2 is 0.08. The attribute_3 is 0.34. The attribute_4 is 0.17. The attribute_5 is 0.37. The attribute_6 is 0.42. The attribute_7 is 0.68. The attribute_8 is 0.35. The attribute_9 is 0.06. The attribute_10 is 0.12. The attribute_11 is 0.21. The attribute_12 is 0.41. The attribute_13 is 0.61. The attribute_14 is 0.47. The attribute_15 is 0.57. The attribute_16 is 0.45. The attribute_17 is 0.19. The attribute_18 is 0.68. The attribute_19 is 0.59. The attribute_20 is 0.29.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.14. The attribute_1 is 0.33. The attribute_2 is 0.39. The attribute_3 is 0.07. The attribute_4 is 0.91. The attribute_5 is 0.01. The attribute_6 is 0.54. The attribute_7 is 0.06. The attribute_8 is 0.36. The attribute_9 is 0.8. The attribute_10 is 0.89. The attribute_11 is 0.43. The attribute_12 is 0.88. The attribute_13 is 0.09. The attribute_14 is 0.82. The attribute_15 is 0.7. The attribute_16 is 0.7. The attribute_17 is 0.66. The attribute_18 is 0.06. The attribute_19 is 0.81. The attribute_20 is 0.44.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.18. The attribute_1 is 0.93. The attribute_2 is 0.98. The attribute_3 is 0.6. The attribute_4 is 0.15. The attribute_5 is 0.89. The attribute_6 is 0.9. The attribute_7 is 0.19. The attribute_8 is 0.95. The attribute_9 is 0.76. The attribute_10 is 0.71. The attribute_11 is 0.81. The attribute_12 is 0.75. The attribute_13 is 0.79. The attribute_14 is 0.5. The attribute_15 is 0.47. The attribute_16 is 0.58. The attribute_17 is 0.98. The attribute_18 is 0.3. The attribute_19 is 0.44. The attribute_20 is 0.47.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.81. The attribute_1 is 1.0. The attribute_2 is 0.58. The attribute_3 is 0.1. The attribute_4 is 0.9. The attribute_5 is 0.15. The attribute_6 is 0.5. The attribute_7 is 0.74. The attribute_8 is 0.53. The attribute_9 is 0.71. The attribute_10 is 0.75. The attribute_11 is 1.0. The attribute_12 is 0.48. The attribute_13 is 0.2. The attribute_14 is 0.6. The attribute_15 is 0.39. The attribute_16 is 0.87. The attribute_17 is 0.78. The attribute_18 is 0.64. The attribute_19 is 0.88. The attribute_20 is 0.99.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.96. The attribute_1 is 0.17. The attribute_2 is 0.0. The attribute_3 is 0.01. The attribute_4 is 0.15. The attribute_5 is 0.21. The attribute_6 is 0.36. The attribute_7 is 0.72. The attribute_8 is 0.24. The attribute_9 is 0.71. The attribute_10 is 0.46. The attribute_11 is 0.18. The attribute_12 is 0.34. The attribute_13 is 0.02. The attribute_14 is 0.33. The attribute_15 is 0.48. The attribute_16 is 0.33. The attribute_17 is 0.07. The attribute_18 is 0.77. The attribute_19 is 0.06. The attribute_20 is 0.43.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.18. The attribute_1 is 0.05. The attribute_2 is 0.03. The attribute_3 is 0.98. The attribute_4 is 0.11. The attribute_5 is 0.89. The attribute_6 is 0.5. The attribute_7 is 0.16. The attribute_8 is 0.77. The attribute_9 is 0.01. The attribute_10 is 0.15. The attribute_11 is 0.43. The attribute_12 is 0.24. The attribute_13 is 0.98. The attribute_14 is 0.07. The attribute_15 is 0.16. The attribute_16 is 0.0. The attribute_17 is 0.02. The attribute_18 is 0.47. The attribute_19 is 0.04. The attribute_20 is 0.13.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.64. The attribute_1 is 0.78. The attribute_2 is 0.47. The attribute_3 is 0.1. The attribute_4 is 0.13. The attribute_5 is 0.01. The attribute_6 is 0.26. The attribute_7 is 0.63. The attribute_8 is 0.38. The attribute_9 is 0.86. The attribute_10 is 0.85. The attribute_11 is 0.61. The attribute_12 is 0.3. The attribute_13 is 0.14. The attribute_14 is 0.21. The attribute_15 is 0.27. The attribute_16 is 0.05. The attribute_17 is 0.42. The attribute_18 is 0.46. The attribute_19 is 0.07. The attribute_20 is 0.88.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.76. The attribute_1 is 0.12. The attribute_2 is 0.17. The attribute_3 is 0.07. The attribute_4 is 0.74. The attribute_5 is 0.04. The attribute_6 is 0.22. The attribute_7 is 0.69. The attribute_8 is 0.2. The attribute_9 is 0.18. The attribute_10 is 0.52. The attribute_11 is 0.01. The attribute_12 is 0.81. The attribute_13 is 0.06. The attribute_14 is 0.74. The attribute_15 is 0.81. The attribute_16 is 0.8. The attribute_17 is 0.19. The attribute_18 is 0.81. The attribute_19 is 0.77. The attribute_20 is 0.83.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.05. The attribute_1 is 0.05. The attribute_2 is 0.03. The attribute_3 is 0.98. The attribute_4 is 0.13. The attribute_5 is 0.94. The attribute_6 is 0.94. The attribute_7 is 0.03. The attribute_8 is 0.78. The attribute_9 is 0.8. The attribute_10 is 0.76. The attribute_11 is 0.82. The attribute_12 is 0.07. The attribute_13 is 0.97. The attribute_14 is 0.01. The attribute_15 is 0.01. The attribute_16 is 0.0. The attribute_17 is 0.0. The attribute_18 is 0.13. The attribute_19 is 0.01. The attribute_20 is 0.9.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.36. The attribute_1 is 0.19. The attribute_2 is 0.25. The attribute_3 is 0.44. The attribute_4 is 0.0. The attribute_5 is 0.37. The attribute_6 is 0.05. The attribute_7 is 0.34. The attribute_8 is 0.14. The attribute_9 is 0.0. The attribute_10 is 0.02. The attribute_11 is 0.29. The attribute_12 is 0.1. The attribute_13 is 0.69. The attribute_14 is 0.06. The attribute_15 is 0.03. The attribute_16 is 0.11. The attribute_17 is 0.21. The attribute_18 is 0.31. The attribute_19 is 0.05. The attribute_20 is 0.07.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.98. The attribute_1 is 0.02. The attribute_2 is 0.04. The attribute_3 is 0.01. The attribute_4 is 1.0. The attribute_5 is 0.03. The attribute_6 is 0.03. The attribute_7 is 0.98. The attribute_8 is 0.05. The attribute_9 is 0.41. The attribute_10 is 0.19. The attribute_11 is 0.01. The attribute_12 is 0.78. The attribute_13 is 0.02. The attribute_14 is 0.99. The attribute_15 is 0.99. The attribute_16 is 0.94. The attribute_17 is 0.0. The attribute_18 is 1.0. The attribute_19 is 0.93. The attribute_20 is 0.18.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.25. The attribute_1 is 0.63. The attribute_2 is 0.42. The attribute_3 is 0.82. The attribute_4 is 0.72. The attribute_5 is 1.0. The attribute_6 is 0.37. The attribute_7 is 0.25. The attribute_8 is 0.38. The attribute_9 is 0.8. The attribute_10 is 0.58. The attribute_11 is 0.61. The attribute_12 is 0.63. The attribute_13 is 0.97. The attribute_14 is 0.58. The attribute_15 is 0.71. The attribute_16 is 0.87. The attribute_17 is 0.37. The attribute_18 is 0.16. The attribute_19 is 0.82. The attribute_20 is 0.73.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.76. The attribute_1 is 0.57. The attribute_2 is 0.22. The attribute_3 is 0.28. The attribute_4 is 0.14. The attribute_5 is 0.69. The attribute_6 is 0.43. The attribute_7 is 0.37. The attribute_8 is 0.33. The attribute_9 is 0.51. The attribute_10 is 0.76. The attribute_11 is 0.6. The attribute_12 is 0.04. The attribute_13 is 0.47. The attribute_14 is 0.09. The attribute_15 is 0.36. The attribute_16 is 0.02. The attribute_17 is 0.39. The attribute_18 is 0.49. The attribute_19 is 0.04. The attribute_20 is 0.92.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.76. The attribute_1 is 0.16. The attribute_2 is 0.23. The attribute_3 is 0.5. The attribute_4 is 0.56. The attribute_5 is 0.22. The attribute_6 is 0.15. The attribute_7 is 0.84. The attribute_8 is 0.09. The attribute_9 is 0.44. The attribute_10 is 0.66. The attribute_11 is 0.01. The attribute_12 is 0.88. The attribute_13 is 0.31. The attribute_14 is 0.96. The attribute_15 is 0.91. The attribute_16 is 0.61. The attribute_17 is 0.25. The attribute_18 is 0.89. The attribute_19 is 0.55. The attribute_20 is 0.63.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.86. The attribute_1 is 0.84. The attribute_2 is 0.67. The attribute_3 is 0.11. The attribute_4 is 0.38. The attribute_5 is 0.27. The attribute_6 is 0.53. The attribute_7 is 0.9. The attribute_8 is 0.51. The attribute_9 is 0.75. The attribute_10 is 0.99. The attribute_11 is 0.56. The attribute_12 is 0.38. The attribute_13 is 0.61. The attribute_14 is 0.45. The attribute_15 is 0.79. The attribute_16 is 0.69. The attribute_17 is 0.99. The attribute_18 is 0.82. The attribute_19 is 0.65. The attribute_20 is 0.91.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.22. The attribute_1 is 0.5. The attribute_2 is 0.53. The attribute_3 is 0.81. The attribute_4 is 0.76. The attribute_5 is 0.29. The attribute_6 is 0.87. The attribute_7 is 0.21. The attribute_8 is 0.93. The attribute_9 is 0.54. The attribute_10 is 0.39. The attribute_11 is 0.88. The attribute_12 is 0.85. The attribute_13 is 0.69. The attribute_14 is 0.42. The attribute_15 is 0.38. The attribute_16 is 0.33. The attribute_17 is 0.42. The attribute_18 is 0.34. The attribute_19 is 0.27. The attribute_20 is 0.51.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.44. The attribute_1 is 0.53. The attribute_2 is 0.48. The attribute_3 is 0.87. The attribute_4 is 0.8. The attribute_5 is 0.94. The attribute_6 is 0.25. The attribute_7 is 0.32. The attribute_8 is 0.24. The attribute_9 is 0.85. The attribute_10 is 0.49. The attribute_11 is 0.47. The attribute_12 is 0.54. The attribute_13 is 0.88. The attribute_14 is 0.53. The attribute_15 is 0.44. The attribute_16 is 0.79. The attribute_17 is 0.43. The attribute_18 is 0.25. The attribute_19 is 0.81. The attribute_20 is 0.74.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.74. The attribute_1 is 0.34. The attribute_2 is 0.11. The attribute_3 is 0.75. The attribute_4 is 0.37. The attribute_5 is 0.61. The attribute_6 is 0.33. The attribute_7 is 0.76. The attribute_8 is 0.31. The attribute_9 is 0.25. The attribute_10 is 0.29. The attribute_11 is 0.49. The attribute_12 is 0.8. The attribute_13 is 0.59. The attribute_14 is 0.94. The attribute_15 is 0.93. The attribute_16 is 0.42. The attribute_17 is 0.08. The attribute_18 is 0.34. The attribute_19 is 0.34. The attribute_20 is 0.29.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.17. The attribute_1 is 0.63. The attribute_2 is 0.95. The attribute_3 is 0.2. The attribute_4 is 0.29. The attribute_5 is 0.31. The attribute_6 is 0.56. The attribute_7 is 0.36. The attribute_8 is 0.86. The attribute_9 is 0.89. The attribute_10 is 0.67. The attribute_11 is 0.4. The attribute_12 is 0.39. The attribute_13 is 0.35. The attribute_14 is 0.42. The attribute_15 is 0.32. The attribute_16 is 0.26. The attribute_17 is 0.84. The attribute_18 is 0.34. The attribute_19 is 0.25. The attribute_20 is 0.74.", "label": "0.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The attribute_0 is 0.5. The attribute_1 is 0.48. The attribute_2 is 0.78. The attribute_3 is 0.4. The attribute_4 is 0.94. The attribute_5 is 0.52. The attribute_6 is 0.65. The attribute_7 is 0.07. The attribute_8 is 0.34. The attribute_9 is 0.8. The attribute_10 is 0.87. The attribute_11 is 0.23. The attribute_12 is 0.69. The attribute_13 is 0.85. The attribute_14 is 0.56. The attribute_15 is 0.56. The attribute_16 is 0.88. The attribute_17 is 0.95. The attribute_18 is 0.71. The attribute_19 is 0.81. The attribute_20 is 0.89.", "label": "1.0", "dataset": "numerai28.6", "benchmark": "openml_cc18", "task_type": "clf"}