Answer
Classification: Accuracy, Precision, Recall, F1, AUC.
Regression: MSE, MAE, R2.
Used to compare and select models.
Regression: MSE, MAE, R2.
Used to compare and select models.
Quick Answer
Model evaluation metrics: Classification: accuracy, precision, recall, F1-score (use when classes imbalanced), ROC-AUC, confusion matrix. Regression: MAE (mean absolute error), MSE, RMSE, R-squared. Use cross_val_score for cross-validated scores. Classification report gives all classification metrics at once. Choose metric based on business impact of false positives vs false negatives.
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SugharaIQ Editorial Team
Verified Answer
This answer has been peer-reviewed by industry experts holding senior engineering roles to ensure technical accuracy and relevance for modern interview standards.
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Source: SugharaIQ