Building a Machine Learning Model Using J48 Classifier

// Java Program for Creating a Model Based on J48 Classifier

// Importing required classes
import java.io.BufferedReader;
import java.io.FileReader;
import java.util.Random;
import weka.classifiers.Evaluation;
import weka.classifiers.trees.J48;
import weka.core.Instances;

// Main class
public class BreastCancer {

    // Main driver method
    public static void main(String args[])
    {

        // Try block to check for exceptions
        try {

            // Creating J48 classifier
            J48 j48Classifier = new J48();

            // Dataset path
            String breastCancerDataset
                = "/home/droid/Tools/weka-3-8-5/data/breast-cancer.arff";

            // Create bufferedreader to read the dataset
            BufferedReader bufferedReader
                = new BufferedReader(
                    new FileReader(breastCancerDataset));

            // Create dataset instances
            Instances datasetInstances
                = new Instances(bufferedReader);

            // Set Target Class
            datasetInstances.setClassIndex(
                datasetInstances.numAttributes() - 1);

            // Evaluation
            Evaluation evaluation
                = new Evaluation(datasetInstances);

            // Cross Validate Model with 10 folds
            evaluation.crossValidateModel(
                j48Classifier, datasetInstances, 10,
                new Random(1));
            System.out.println(evaluation.toSummaryString(
                "\nResults", false));
        }

        // Catch block to check for rexceptions
        catch (Exception e) {

            // Print and display the display message
            // using getMessage() method
            System.out.println("Error Occurred!!!! \n"
                               + e.getMessage());
        }

        // Display message to be printed ion console
        // when program is successfully executed
        System.out.print("Successfully executed.");
    }
}