https://github.com/mh0386/logistic_regression

This code about K-Fold Validation is applied to Logistic Regression.
https://github.com/mh0386/logistic_regression

classification-model k-fold-cross-validation logistic-regression

Last synced: 3 months ago
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This code about K-Fold Validation is applied to Logistic Regression.

• Host: GitHub
• URL: https://github.com/mh0386/logistic_regression
• Owner: MH0386
• Created: 2023-04-17T19:28:49.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2025-02-05T15:30:12.000Z (4 months ago)
• Last Synced: 2025-02-05T16:35:38.203Z (4 months ago)
• Topics: classification-model, k-fold-cross-validation, logistic-regression
• Language: Jupyter Notebook
• Homepage: https://Kaggle.com/code/mh0386/logistic-regression-with-k-fold
• Size: 1.67 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Codeowners: .github/CODEOWNERS

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README

        
# Logistic Regression

- Implemented Logistic Regression from Scratch

- Applied 10-Fold Validation with `0.1`, `0.01`, `0.001` and `0.0001` learning rates from scratch

- The model with the learning rate of `0.1` achieved the highest accuracy