Calculates classification and regression metrics like accuracy, F1-score, RMSE, and provides confusion matrix to evaluate ML model performance.
Calculates and analyzes common performance metrics for machine learning models, helping you evaluate model quality and generalization.
{
"y_true": [1, 0, 1, 1],
"y_pred": [1, 0, 0, 1]
}
{
"success": true,
"accuracy": 0.75,
"f1_score": 0.8,
"message": "Performance metrics calculated successfully."
}
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ZIP package — ready to use