Applying LightGBM Classification Model to Wisconsin Breast Cancer Dataset

This simple code to build and evaluate a LightGBM classification model using the Wisconsin Breast Cancer dataset.

Usage

1. Check dataset: breast_cancer_data.csv
2. Run the code:

pixi run start

Results

After running the code, the model's training and testing accuracy will be displayed.

Model accuracy: 0.930
True Positive(TP) = 55
True Negative(TN) = 104
False Positive(FP) = 8
False Negative(FN) = 4