Logistic Regression, Stochastic Gradient, Regularization.
get: wTx + b, where T stands for transpose. Sigmoid simply takes the linear regression equation into the following formula: sigmoid equation The biggest benefit of this process is that it ensures values are between 0 and 1, which provides a probabilistic framework where you can easily use a cutoff