{
    "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
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}