Answer
Divide data into training and test sets.
Optionally add validation set.
Prevents overfitting and checks generalization.
Optionally add validation set.
Prevents overfitting and checks generalization.
Quick Answer
Split data to evaluate model performance on unseen data. train_test_split(X, y, test_size=0.2, random_state=42) gives 80% train, 20% test. Stratified split for imbalanced classes (stratify=y). Never train on test data. Validation set for hyperparameter tuning (or use cross-validation). Test set is used only once at the very end to report final performance.
S
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