MLPlatform/optimized_models/opt_20250409_4f2e44/task_info.json

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{
"id": "opt_20250409_4f2e44",
"run_id": "d53081f449934631b6fc1caecfabeb46",
"experiment_id": "670583721104894053",
"task_id": "opt_20250409_4f2e44",
"method": "GridSearchCV",
"original_model": "regression",
"parameters": {
"n_estimators": [
50,
100,
200
],
"max_depth": [
null,
10,
20,
30
],
"min_samples_split": [
2,
5,
10
],
"min_samples_leaf": [
1,
2,
4
],
"max_features": [
"sqrt",
"log2",
0.5
],
"bootstrap": [
true,
false
],
"criterion": [
"squared_error",
"absolute_error"
],
"scoring": "r2"
},
"best_params": {},
"best_score": 0.44047721374381793,
"cv_results_summary": {
"mean_fit_time": 12.824286890029907,
"mean_score_time": 0.06628308296203614,
"param_combinations": 1,
"score_range": [
0.44047721374381793,
0.44047721374381793
]
},
"cv_results_file": "optimized_models/opt_20250409_4f2e44/cv_results.csv",
"optimized_model_id": "ef413c6fd25f4042a793d4c452af3e1b",
"execution_time": "0:00:35.246054",
"experiment_name": "test_FDD001_1",
"status": "completed",
"start_time": "2025-04-09T14:09:24.775627",
"end_time": "2025-04-09T14:10:00.021681"
}