Diagram comparing evaluation metrics for supervised and unsupervised machine learning models, such as MSE, MAE, Accuracy, Precision, Recall, F1-Score, Silhouette Score, and Explained Variance.

Regression in machine learning is used to predict continuous values like house prices, tomorrow’s temperature, or someone’s income. But once you’ve built your model, how do you know how accurate…

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