Regression refers to predictive modeling problems that involve predicting a numeric value. It is different from classification that involves predicting a class label. Unlike classification, you cannot use classification accuracy to evaluate the predictions made by a regression model. Instead, you must use error metrics specifically designed for evaluating predictions made on regression problems. In […]
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