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Machine Learning · Classification · Visual playground

Logistic Regression: from a line to a probability

A lender wants the chance that an applicant will not repay. Bend a line into an S-curve by hand, watch the log loss, then see the decision boundary in two features and how the threshold trades one kind of mistake for the other.

Then build it in Python: the worked example