Skip to content

miladnorouziii/LogisticRegression-BreastCancer

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Logistic Regression Breast Cancer

The example codes above are related to a logistic classification for the diagnosis of benign or malignant breast cancer.

For this issue, the dataset available in the link below has been used. https://github.com/Sutanoy/Public-Regression-Datasets/blob/main/bdiag.csv (Also available in Dataset folder)

Run the Main.py file to run the code. After running the code, you will need to specify the following.

  • The dataset path
  • The number of iteration steps (Epochs)
  • Data validation percentage
  • Test set percentage
  • Learning rate
  • Batch size
  • Optimizer model

About

Simple code for Logistic regression via Torch.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages