Logistic regression और probabilities
Python में Linear Classifiers
Michael (Mike) Gelbart
Instructor, The University of British Columbia
Logistic regression probabilities
Regularization के बिना $(C=10^8)$:
Logistic regression probabilities
Regularization के बिना $(C=10^8)$:
- model coefficients:
[[1.55 1.57]] - model intercept:
[-0.64]
Logistic regression probabilities
Regularization के बिना $(C=10^8)$:
- model coefficients:
[[1.55 1.57]] - model intercept:
[-0.64]
Regularization के साथ $(C=1)$:
- model coefficients:
[[0.45 0.64]] - model intercept:
[-0.26]
ये probabilities कैसे निकाली जाती हैं?
- logistic regression predictions: raw model output का sign
- logistic regression probabilities: "squashed" raw model output
