Skip to content

Comparison of sklearn's logistic regressor against custom

Notifications You must be signed in to change notification settings

Starovoitov/Regressor

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Regressor

Comparison of sklearn's logistic regressor to custom

Logistic regressor to classify amazone reviews (positive/negative) It's applience shown in homework.ipynb

Gotten accuracy via skilearn's accuracy_score function

  1. Custom regressor:

Train f1-score = 0.832 Test f1-score = 0.825

  1. Sklearn's:

Train accuracy = 0.821 Test accuracy = 0.817

About

Comparison of sklearn's logistic regressor against custom

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published