Machine Learning Fundamentals · Model evaluation

Regression evaluation metrics

Ways to score how far off a model's continuous predictions are, from raw error size to how much variance it explains.

Also known as: MAE, MSE, RMSE, R-squared.

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• Linear regression: Fitting a straight line (or hyperplane) through data to predict a continuous number.

Related topics

• Classification evaluation metrics: Accuracy alone can lie; precision, recall, F1, and ROC-AUC each capture a different way a classifier can be right or wrong.