reports/deepchecks/train_test_validation_suite_results_clean.json

{
  "suite_name": "Train-Test Validation Suite",
  "total_checks": 12,
  "timestamp": "2025-11-16T21:21:15.870211",
  "checks": [
    {
      "check_name": "Datasets Size Comparison",
      "passed": true,
      "display": "[      Train  Test\nSize   5338  1335]"
    },
    {
      "check_name": "New Label Train Test",
      "passed": true,
      "display": "[]"
    },
    {
      "check_name": "New Category Train Test",
      "passed": true,
      "display": "[Empty DataFrame\nColumns: [# New Categories, Ratio of New Categories, New Categories Names]\nIndex: []]"
    },
    {
      "check_name": "String Mismatch Comparison",
      "passed": true,
      "display": "[]"
    },
    {
      "check_name": "Train Test Samples Mix",
      "passed": true,
      "display": "[]"
    },
    {
      "check_name": "Feature Label Correlation Change",
      "passed": true,
      "display": "[]"
    },
    {
      "check_name": "Feature Drift",
      "passed": true,
      "display": "['\\n<span>\\nThe Drift score is a measure for the difference between two distributions, in this check - the test\\nand train distributions.<br> The check shows the drift score and distributions for the features,\\nsorted by drift score and showing only the top 5 features,\\naccording to drift score.\\n</span>\\n', 'For discrete distribution plots, showing the top 10 categories with largest difference between train and test.', 'If available, the plot titles also show the feature importance (FI) rank', Figure({\n    'data': [{'base': 0,\n              'marker': {'color': '#01B8AA'},\n              'offsetgroup': '0',\n              'orientation': 'h',\n              'showlegend': False,\n              'type': 'bar',\n              'x': [0.024786177263433795],\n              'xaxis': 'x',\n              'y': [Drift Score],\n              'yaxis': 'y'},\n             {'fill': 'tozeroy',\n              'line': {'color': '#00008b', 'shape': 'linear'},\n              'name': 'Train Dataset',\n              'type': 'scatter',\n              'x': [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n                    0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n                    0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n                    0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n                    0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n                    0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n                    0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n                    0.0, 0.0, 0.02040816326530612, 0.030168718515699477,\n                    0.035100037433955004, 0.04081632653061224,\n                    0.061224489795918366, 0.06643725331675669, 0.07114832778325213,\n                    0.08163265306122448, 0.09501625093141505, 0.09624095253163785,\n                    0.1020408163265306, 0.12244897959183673, 0.12327507356045435,\n                    0.13173481974171658, 0.14285714285714285, 0.15430796539599811,\n                    0.16326530612244897, 0.1664789296189806, 0.18367346938775508,\n                    0.1853023049273819, 0.2040816326530612, 0.2195554107475312,\n                    0.22448979591836732, 0.2249991076455858, 0.24489795918367346,\n                    0.2548553261424575, 0.26530612244897955, 0.2736504893380491,\n                    0.2857142857142857, 0.3061224489795918, 0.30651741019679063,\n                    0.32653061224489793, 0.3352002542813232, 0.3469387755102041,\n                    0.36734693877551017, 0.3877551020408163, 0.4081632653061224,\n                    0.42857142857142855, 0.44897959183673464, 0.4693877551020408,\n                    0.4897959183673469, 0.5102040816326531, 0.5306122448979591,\n                    0.5510204081632653, 0.5714285714285714, 0.5918367346938775,\n                    0.6122448979591836, 0.6326530612244897, 0.6530612244897959,\n                    0.673469387755102, 0.6938775510204082, 0.7142857142857142,\n                    0.7346938775510203, 0.7551020408163265, 0.7755102040816326,\n                    0.7959183673469387, 0.8163265306122448, 0.836734693877551,\n                    0.8571428571428571, 0.8775510204081632, 0.8979591836734693,\n                    0.9183673469387754, 0.9387755102040816, 0.9591836734693877,\n                    0.9795918367346939, 1.0],\n              'xaxis': 'x2',\n              'y': {'bdata': ('3xw5TLibLEDfHDlMuJssQN8cOUy4my' ... 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             'showarrow': False,\n                                'text': 'Distribution Plot',\n                                'x': 0.5,\n                                'xanchor': 'center',\n                                'xref': 'paper',\n                                'y': 0.7200000000000001,\n                                'yanchor': 'bottom',\n                                'yref': 'paper'}],\n               'bargroupgap': 0,\n               'height': 400,\n               'legend': {'title': {'text': 'Legend'}, 'y': 0.6, 'yanchor': 'top'},\n               'template': '...',\n               'title': {'text': 'feature_42', 'x': 0.5, 'xanchor': 'center'},\n               'xaxis': {'anchor': 'y',\n                         'domain': [0.0, 1.0],\n                         'dtick': 0.05,\n                         'fixedrange': True,\n                         'gridcolor': 'black',\n                         'linecolor': 'black',\n                         'range': [0, 0.4],\n            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    },
    {
      "check_name": "Label Drift",
      "passed": true,
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    },
    {
      "check_name": "Multivariate Drift",
      "passed": true,
      "display": "[]"
    },
    {
      "check_name": "Date Train Test Leakage Duplicates",
      "passed": null,
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    },
    {
      "check_name": "Date Train Test Leakage Overlap",
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    },
    {
      "check_name": "Index Train Test Leakage",
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    }
  ]
}