This project implements logistic regression for binary classification, predicting categorical outcomes based on input features. It also evaluates model performance using metrics like accuracy, precision, recall, F1-score, and ROC-AUC to analyze effectiveness and reliability.
-
Notifications
You must be signed in to change notification settings - Fork 0
This project implements logistic regression for binary classification, predicting categorical outcomes based on input features. It also evaluates model performance using metrics like accuracy, precision, recall, F1-score, and ROC-AUC to analyze effectiveness and reliability.
JoshmithaKonda/Logistic-Regression-for-Binary-classification
About
This project implements logistic regression for binary classification, predicting categorical outcomes based on input features. It also evaluates model performance using metrics like accuracy, precision, recall, F1-score, and ROC-AUC to analyze effectiveness and reliability.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published