Add metrics for Fairness Classification Model (ACCEPT vs REOPTIMIZE)
Browse files- metrics.json +47 -0
metrics.json
ADDED
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{
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"accuracy": 0.9991666666666666,
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"precision": 1.0,
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"recall": 0.9988864142538976,
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"f1": 0.9994428969359331,
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"train_time_s": 0.14000701904296875,
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"features": [
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"num_drivers",
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"avg_effort",
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"std_dev",
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"max_gap",
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"gini_index",
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"min_effort",
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"max_effort",
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"outlier_count",
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"pct_above_avg",
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"effort_cv"
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],
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"feature_importances": {
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"num_drivers": 0.028005681931972504,
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"avg_effort": 0.0012457654811441898,
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"std_dev": 0.22087369859218597,
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"max_gap": 0.7070605754852295,
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"gini_index": 0.009593592025339603,
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"min_effort": 0.002239435911178589,
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"max_effort": 0.001183107728138566,
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"outlier_count": 0.017926303669810295,
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"pct_above_avg": 0.0012699583312496543,
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"effort_cv": 0.010601866990327835
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},
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"class_labels": [
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"ACCEPT",
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"REOPTIMIZE"
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],
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"confusion_matrix": [
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[
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604,
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0
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],
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[
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2,
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1794
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]
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],
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"train_samples": 9600,
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"test_samples": 2400
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}
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