Data Science, Machine Learning, Naturallanguageprocessing, Artificial Intelligence, Technology.
Regression. Section 6: Evaluating the Model Evaluating the performance of our model is crucial. We use metrics like accuracy, precision, recall, and F1-score: from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score # Predicting on the test set y_pred =