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Loss Functions — ML Compiled

Loss functions¶ For classification problems, is equal to 1 if the example is a positive and 0 if it is a negative. can take on any value (although predicting outside of the (0,1) interval is unlikely to be useful). Classification¶ Cross-entropy loss¶ Loss function for classification. where c are the classes. equals 1 if example is in class and 0 otherwise. is the predicted probability that

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