Logistic Regression - Likelihood Estimation and Loss

#1

Why does Logistic Regression not work in non linear data Set ??

#2

@Vinay-Mittal-2143588655728125 because the hypothesis/separting hyperplane is linear WX + B = 0 which is linear, hence complex non-linear boundary cant be represented using this. For non-linear classification we can use Kernel SVM’s or Neural Networks(preferred)

#3

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