| { | |
| "model": "Logistic Regression", | |
| "reason_for_selection": "Highest recall score, suitable for predictive maintenance where missed failures are costly.", | |
| "parameters": { | |
| "C": 1.0, | |
| "class_weight": "balanced", | |
| "dual": false, | |
| "fit_intercept": true, | |
| "intercept_scaling": 1, | |
| "l1_ratio": null, | |
| "max_iter": 2000, | |
| "multi_class": "deprecated", | |
| "n_jobs": null, | |
| "penalty": "l2", | |
| "random_state": 42, | |
| "solver": "lbfgs", | |
| "tol": 0.0001, | |
| "verbose": 0, | |
| "warm_start": false | |
| }, | |
| "metrics": { | |
| "accuracy": 0.6517199017199017, | |
| "precision": 0.7422644163150492, | |
| "recall": 0.685612211757064, | |
| "f1_score": 0.712814452135742, | |
| "roc_auc": 0.6935298451938292 | |
| } | |
| } |