Logistic Regression, Stochastic Gradient, Regularization.
cases serves as a good baseline model that can be used as a benchmark to evaluate all subsequent Machine Learning models. As we saw its simple to implement, highly interpretable, and can handle cases like outliers & overfitting with L2 regularization. However, there are certain things to ensure