• The logistic regression is a classic classification method. The motivation is to modify Logit(P(Y=1)) = β₀ + β₁X₁ + β₂X₂ + ... + βₖXₖ which transform the linear …

  • Recall True Positives / (True Positives + False Negatives)
  • It occur the highest while False Negatives =0
  • Answer the question: How good is your model to classify positive samples.