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- dur_m10.pkl518 kB
Detected Pickle imports (5)
- "xgboost.sklearn.XGBRegressor",
- "builtins.bytearray",
- "xgboost.core.Booster",
- "numpy._core.multiarray.scalar",
- "numpy.dtype"
xetAdd v2 model: dur_m10.pkl - dur_m15.pkl519 kB
Detected Pickle imports (5)
- "xgboost.sklearn.XGBRegressor",
- "builtins.bytearray",
- "xgboost.core.Booster",
- "numpy._core.multiarray.scalar",
- "numpy.dtype"
xetAdd v2 model: dur_m15.pkl - dur_m20.pkl519 kB
Detected Pickle imports (5)
- "xgboost.sklearn.XGBRegressor",
- "builtins.bytearray",
- "xgboost.core.Booster",
- "numpy._core.multiarray.scalar",
- "numpy.dtype"
xetAdd v2 model: dur_m20.pkl - dur_m5.pkl515 kB
Detected Pickle imports (5)
- "builtins.bytearray",
- "xgboost.sklearn.XGBRegressor",
- "numpy.dtype",
- "xgboost.core.Booster",
- "numpy._core.multiarray.scalar"
xetAdd v2 model: dur_m5.pkl - ensemble_m0_5.pkl1.15 MB
Detected Pickle imports (21)
- "sklearn.neural_network._multilayer_perceptron.MLPClassifier",
- "catboost.core.CatBoostClassifier",
- "numpy.random._mt19937.MT19937",
- "lightgbm.sklearn.LGBMClassifier",
- "sklearn.preprocessing._label.LabelBinarizer",
- "lightgbm.basic.Booster",
- "sklearn.preprocessing._label.LabelEncoder",
- "sklearn.preprocessing._data.StandardScaler",
- "builtins.bytearray",
- "numpy.dtype",
- "numpy._core.multiarray._reconstruct",
- "collections.OrderedDict",
- "numpy.random._pickle.__randomstate_ctor",
- "sklearn.neural_network._stochastic_optimizers.AdamOptimizer",
- "numpy.ndarray",
- "numpy._core.multiarray.scalar",
- "xgboost.sklearn.XGBClassifier",
- "numpy.random._pickle.__bit_generator_ctor",
- "xgboost.core.Booster",
- "collections.defaultdict",
- "sklearn.linear_model._logistic.LogisticRegression"
xetAdd v2 model: ensemble_m0_5.pkl - ensemble_m1.pkl1.14 MB
Detected Pickle imports (21)
- "sklearn.linear_model._logistic.LogisticRegression",
- "sklearn.neural_network._multilayer_perceptron.MLPClassifier",
- "sklearn.neural_network._stochastic_optimizers.AdamOptimizer",
- "collections.OrderedDict",
- "numpy.dtype",
- "numpy._core.multiarray.scalar",
- "lightgbm.sklearn.LGBMClassifier",
- "numpy.random._pickle.__randomstate_ctor",
- "sklearn.preprocessing._data.StandardScaler",
- "lightgbm.basic.Booster",
- "numpy.ndarray",
- "xgboost.sklearn.XGBClassifier",
- "numpy.random._mt19937.MT19937",
- "collections.defaultdict",
- "xgboost.core.Booster",
- "catboost.core.CatBoostClassifier",
- "sklearn.preprocessing._label.LabelBinarizer",
- "numpy._core.multiarray._reconstruct",
- "builtins.bytearray",
- "numpy.random._pickle.__bit_generator_ctor",
- "sklearn.preprocessing._label.LabelEncoder"
xetAdd v2 model: ensemble_m1.pkl - ensemble_m15.pkl1.16 MB
Detected Pickle imports (21)
- "sklearn.neural_network._multilayer_perceptron.MLPClassifier",
- "catboost.core.CatBoostClassifier",
- "numpy.random._mt19937.MT19937",
- "lightgbm.sklearn.LGBMClassifier",
- "sklearn.preprocessing._label.LabelBinarizer",
- "lightgbm.basic.Booster",
- "sklearn.preprocessing._label.LabelEncoder",
- "sklearn.preprocessing._data.StandardScaler",
- "builtins.bytearray",
- "numpy.dtype",
- "numpy._core.multiarray._reconstruct",
- "collections.OrderedDict",
- "numpy.random._pickle.__randomstate_ctor",
- "sklearn.neural_network._stochastic_optimizers.AdamOptimizer",
- "numpy.ndarray",
- "numpy._core.multiarray.scalar",
- "xgboost.sklearn.XGBClassifier",
- "numpy.random._pickle.__bit_generator_ctor",
- "xgboost.core.Booster",
- "collections.defaultdict",
- "sklearn.linear_model._logistic.LogisticRegression"
xetAdd v2 model: ensemble_m15.pkl - ensemble_m1_8.pkl1.16 MB
Detected Pickle imports (21)
- "sklearn.neural_network._multilayer_perceptron.MLPClassifier",
- "catboost.core.CatBoostClassifier",
- "numpy.random._mt19937.MT19937",
- "lightgbm.sklearn.LGBMClassifier",
- "sklearn.preprocessing._label.LabelBinarizer",
- "lightgbm.basic.Booster",
- "sklearn.preprocessing._label.LabelEncoder",
- "sklearn.preprocessing._data.StandardScaler",
- "builtins.bytearray",
- "numpy.dtype",
- "numpy._core.multiarray._reconstruct",
- "collections.OrderedDict",
- "numpy.random._pickle.__randomstate_ctor",
- "sklearn.neural_network._stochastic_optimizers.AdamOptimizer",
- "numpy.ndarray",
- "numpy._core.multiarray.scalar",
- "xgboost.sklearn.XGBClassifier",
- "numpy.random._pickle.__bit_generator_ctor",
- "xgboost.core.Booster",
- "collections.defaultdict",
- "sklearn.linear_model._logistic.LogisticRegression"
xetAdd v2 model: ensemble_m1_8.pkl - ensemble_m2.pkl1.16 MB
Detected Pickle imports (21)
- "sklearn.neural_network._multilayer_perceptron.MLPClassifier",
- "catboost.core.CatBoostClassifier",
- "numpy.random._mt19937.MT19937",
- "lightgbm.sklearn.LGBMClassifier",
- "sklearn.preprocessing._label.LabelBinarizer",
- "lightgbm.basic.Booster",
- "sklearn.preprocessing._label.LabelEncoder",
- "sklearn.preprocessing._data.StandardScaler",
- "builtins.bytearray",
- "numpy.dtype",
- "numpy._core.multiarray._reconstruct",
- "collections.OrderedDict",
- "numpy.random._pickle.__randomstate_ctor",
- "sklearn.neural_network._stochastic_optimizers.AdamOptimizer",
- "numpy.ndarray",
- "numpy._core.multiarray.scalar",
- "xgboost.sklearn.XGBClassifier",
- "numpy.random._pickle.__bit_generator_ctor",
- "xgboost.core.Booster",
- "collections.defaultdict",
- "sklearn.linear_model._logistic.LogisticRegression"
xetAdd v2 model: ensemble_m2.pkl - ensemble_m25.pkl1.14 MB
Detected Pickle imports (21)
- "sklearn.neural_network._multilayer_perceptron.MLPClassifier",
- "catboost.core.CatBoostClassifier",
- "numpy.random._mt19937.MT19937",
- "lightgbm.sklearn.LGBMClassifier",
- "sklearn.preprocessing._label.LabelBinarizer",
- "lightgbm.basic.Booster",
- "sklearn.preprocessing._label.LabelEncoder",
- "sklearn.preprocessing._data.StandardScaler",
- "builtins.bytearray",
- "numpy.dtype",
- "numpy._core.multiarray._reconstruct",
- "collections.OrderedDict",
- "numpy.random._pickle.__randomstate_ctor",
- "sklearn.neural_network._stochastic_optimizers.AdamOptimizer",
- "numpy.ndarray",
- "numpy._core.multiarray.scalar",
- "xgboost.sklearn.XGBClassifier",
- "numpy.random._pickle.__bit_generator_ctor",
- "xgboost.core.Booster",
- "collections.defaultdict",
- "sklearn.linear_model._logistic.LogisticRegression"
xetAdd v2 model: ensemble_m25.pkl - ensemble_m3.pkl1.12 MB
Detected Pickle imports (21)
- "sklearn.linear_model._logistic.LogisticRegression",
- "sklearn.neural_network._multilayer_perceptron.MLPClassifier",
- "sklearn.neural_network._stochastic_optimizers.AdamOptimizer",
- "collections.OrderedDict",
- "numpy.dtype",
- "numpy._core.multiarray.scalar",
- "lightgbm.sklearn.LGBMClassifier",
- "numpy.random._pickle.__randomstate_ctor",
- "sklearn.preprocessing._data.StandardScaler",
- "lightgbm.basic.Booster",
- "numpy.ndarray",
- "xgboost.sklearn.XGBClassifier",
- "numpy.random._mt19937.MT19937",
- "collections.defaultdict",
- "xgboost.core.Booster",
- "catboost.core.CatBoostClassifier",
- "sklearn.preprocessing._label.LabelBinarizer",
- "numpy._core.multiarray._reconstruct",
- "builtins.bytearray",
- "numpy.random._pickle.__bit_generator_ctor",
- "sklearn.preprocessing._label.LabelEncoder"
xetAdd v2 model: ensemble_m3.pkl - 7.03 kB Add v2 model: ensemble_v2_summary.json