Question: how to Model Evaluation Metrics: Use accuracy, precision, recall, and F1-score to evaluate the models. Cross-Validation: Implement k-fold cross-validation to ensure that the model generalizes

how to Model Evaluation Metrics: Use accuracy, precision, recall, and F1-score to evaluate the models. Cross-Validation: Implement k-fold cross-validation to ensure that the model generalizes well to unseen data. Confusion Matrix: Analyze the confusion matrix to understand true positives, false positives, etc

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