fraud-detection-lightgbm-v1 / model_metadata_mlflow.json
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{
"model_type": "lightgbm",
"model_version": "1.0.0",
"created_at": "2025-11-28T16:37:38.290627",
"framework": "lightgbm",
"framework_version": "4.6.0",
"mlflow_run_id": "33742540d9684c069355ee28c94e98f4",
"mlflow_experiment_id": "651077618700285915",
"feature_count": 30,
"features": [
"Time",
"V1",
"V2",
"V3",
"V4",
"V5",
"V6",
"V7",
"V8",
"V9",
"V10",
"V11",
"V12",
"V13",
"V14",
"V15",
"V16",
"V17",
"V18",
"V19",
"V20",
"V21",
"V22",
"V23",
"V24",
"V25",
"V26",
"V27",
"V28",
"Amount"
],
"best_iteration": 14,
"parameters": {
"objective": "binary",
"metric": "auc",
"boosting_type": "gbdt",
"num_leaves": 31,
"learning_rate": 0.05,
"feature_fraction": 0.9,
"bagging_fraction": 0.8,
"bagging_freq": 5,
"verbose": -1,
"random_state": 42,
"scale_pos_weight": 577.2868020304569
},
"performance": {
"accuracy": 0.9814964362206383,
"precision": 0.07773851590106007,
"recall": 0.8979591836734694,
"f1_score": 0.14308943089430895,
"auc": 0.9328978988894376,
"tn": 55820,
"fp": 1044,
"fn": 10,
"tp": 88
},
"training_data": {
"total_samples": 227845,
"fraud_samples": 394,
"normal_samples": 227451
},
"test_data": {
"total_samples": 56962,
"fraud_samples": 98,
"normal_samples": 56864
},
"feature_importance": [
{
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"importance": 11663578000233.742
},
{
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{
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{
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},
{
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},
{
"feature": "V13",
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{
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{
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{
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{
"feature": "V1",
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},
{
"feature": "V22",
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{
"feature": "V9",
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{
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{
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{
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]
}