Can logistic regression handle non-linear boundaries?
Yes, by adding interaction terms or polynomial features to the input data.
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More FAQs in What is Logistic Regression? Binary Classification Explained
Linear regression can output values greater than 1 or less than 0, making it unsuitable for probabilities. It is also sensitive to outliers.
It is an S-shaped curve that asymptoticly approaches 0 and 1.
Using a Confusion Matrix, Accuracy, Precision, Recall, and AUC-ROC score.
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