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What is Evaluationmeasures ML about?

The document discusses evaluation measures in machine learning, focusing on classification and regression metrics. It outlines various classification metrics such as accuracy, precision, recall, F1-score, and AUROC, as well as regression metrics like Mean Absolute Error, Mean Squared Error, and R². Each metric is explained in terms of its calculation, significance, and application in assessing model performance.

Author

mesinghaditya9

Language

EN