ML-methods-for-binary-classification

Author: Nicolas Gachancipa

Comparison between different machine learning methods for binary classification

1. Download all the files and place them in the same directory.

2. a. Run the Binary_classification_methods.py file to test the following methods:

    Decision-Tree Classifier
    
    Rule-Based Classifier
    
    K-Neighbours Classifier
    
    Naive-Bayes
    
    Suport Vector Machines
    
    Adaboost (Ensemble methods)
   

   b. Run the Neural_network.py file to test the DNN model.

If you want to test your own dataset, place the .csv or .data file in the same directory as the codes, and update the dataset names in the python scripts.