Run
python main.py
with optional command-line arguments
-data (str, default='./diabetes.csv'): path to the input file (diabetes.csv)
-k (int, default=10): number of k neighbors for BRAF
-s (int, default=100): total number of trees
-p (float, default=0.5): the ratio used to define the size of random forest
-n_folds (int, default=10): number of folds for CV
-plot (str, default='./plots'): a path to store plots
Summary of results with k = 10, p = 0.5, s = 100
Trainset Results:
Accuracy: 67.05 Precision: 60.00 Recall: 6.61 AUPRC: 0.65 AUROC: 0.82
Testset Results:
Accuracy: 65.71 Precision: 66.98 Recall: 5.19 AUPRC: 0.66 AUROC: 0.83
Plots are stored in ./plots.