Use weka classifiers Evaluation - Java Machine Learning AI

Java examples for Machine Learning AI:weka

  1. HOME
  2. Java
  3. Machine Learning AI
  4. weka

Description

Use weka classifiers Evaluation

Demo Code

import weka.classifiers.Evaluation;
import weka.classifiers.trees.J48;
import weka.core.Instances;
import weka.core.converters.ConverterUtils.DataSource;

public class Evaluate {
    public static void main(String[] args) throws Exception {
        DataSource source = new DataSource("iris-train.arff");
        Instances traindata = source.getDataSet();
        traindata.setClassIndex(traindata.numAttributes() - 1);

        J48 tree = new J48();
        tree.buildClassifier(traindata);

        DataSource testsource = new DataSource("iris-test.arff");
        Instances testdata = testsource.getDataSet();
        testdata.setClassIndex(testdata.numAttributes() - 1);

        Evaluation eval = new Evaluation(traindata);
        eval.evaluateModel(tree, testdata);
        System.out.println(eval.toSummaryString());

    }/*from w w  w.j  a va 2  s.  co m*/

}

Related Tutorials