Logistic regression and probabilities
Linear Classifiers in Python
Michael (Mike) Gelbart
Instructor, The University of British Columbia
Logistic regression probabilities
Without regularization $(C=10^8)$:
Logistic regression probabilities
Without regularization $(C=10^8)$:
- model coefficients:
[[1.55 1.57]] - model intercept:
[-0.64]
Logistic regression probabilities
Without regularization $(C=10^8)$:
- model coefficients:
[[1.55 1.57]] - model intercept:
[-0.64]
With regularization $(C=1)$:
- model coefficients:
[[0.45 0.64]] - model intercept:
[-0.26]
How are these probabilities computed?
- logistic regression predictions: sign of raw model output
- logistic regression probabilities: "squashed" raw model output
