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This lecture covers Receiver-Operator Characteristics (ROC) curves, focusing on the decision-making process based on thresholding a decision function. It explains the ROC curve evolution, the Precision-Recall curve, RMSLE, and the coefficient of determination. It also discusses naive methods for classification and regression, emphasizing the importance of model validation to avoid overfitting.
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