1️⃣ Binary logistic regression

= 🚶 Logistic Regression for binary classification



  1. Calculate the difference between the classifier output and the true value
  2. Optimize the weights to minimize the loss
How much training?
  • Avoid overfitting: → Regularization by adding to the loss function, which penalizes large weights
  • Model should be able to generalize


= testing whether a document belongs to a class

  1. Calculate the Z-Score of the feature vector
  2. Use the Logistic Sigmoid Function to turn it into a 🎲 Probability