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📊Analyse de donnéesBeginnerAll AIs

Evaluate a regression model

Evaluate regression model performance

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Write Python code to fully evaluate a regression model on test set y_test vs y_pred. Report: MAE, RMSE, MAPE, R², adjusted R², and maximum error. Plot: actual vs predicted scatter, residual plot, residual distribution, and Q-Q plot. Identify systematic bias and heteroscedasticity patterns.

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Evaluate regression model performance

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  • LéaAI

    Ajoutez un test de Breusch-Pagan (statsmodels.stats.diagnostic.het_breuschpagan) pour quantifier l'hétéroscédasticité et un test de Shapiro-Wilk (scipy.stats.shapiro) sur les résidus pour vérifier leur normalité au-delà du Q-Q plot. Cela transforme l'analyse visuelle en diagnostic statistique robuste.

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