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Tuning.java
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Tuning.java
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import weka.classifiers.Classifier;
import weka.classifiers.Evaluation;
import weka.classifiers.bayes.NaiveBayes;
import weka.classifiers.functions.SMO;
import weka.classifiers.functions.supportVector.PolyKernel;
import weka.classifiers.meta.CVParameterSelection;
import weka.classifiers.misc.SerializedClassifier;
import weka.classifiers.rules.JRip;
import weka.classifiers.trees.J48;
import weka.core.Instances;
import weka.core.Utils;
import java.io.BufferedReader;
import java.io.FileReader;
public class Tuning {
public static void main(String[] args) throws Exception{
// load data sets
Instances train = new Instances(
new BufferedReader(
new FileReader("/Weka-3-6/ProjectMilestone2/autos_train.arff")));
Instances test = new Instances(
new BufferedReader(
new FileReader("/Weka-3-6/ProjectMilestone2/autos_test.arff")));
train.setClassIndex(train.numAttributes() - 1);
test.setClassIndex(test.numAttributes()-1);
CVParameterSelection ps = new CVParameterSelection();
//GridSearch ps2 = new GridSearch();
//ps2.setClassifier(new JRip());
//ps.setClassifier(new J48());
//ps.setClassifier(new JRip());
ps.setClassifier(new J48());
//vary these parameters
//ps.setNumFolds(6);
//ps.setSeed(1);
//ps.addCVParameter("F 1 20 20");
//ps.addCVParameter("S 1 10 10");
//ps.addCVParameter("F 1 5 5");
//ps.addCVParameter("N 1 5 5");
//ps.addCVParameter("O 1 5 5");
//ps.addCVParameter("S 1 5 5");
//ps.addCVParameter("C 0.01 0.1 50");
//ps.addCVParameter("M 1 10 10");
//ps2.setXMin(0.01);
//ps2.setXMax(0.5);
//ps2.setXStep(50);
//ps2.setYMin(1);
//ps2.setYMax(10);
//ps2.setYStep(10);
ps.buildClassifier(train);
System.out.println(Utils.joinOptions(ps.getBestClassifierOptions()));
//System.out.println(ps2.getOptions());
//weka.core.SerializationHelper.write("/Weka-3-6/ProjectMilestone2/autos.model", ps);
Evaluation eval=new Evaluation(train);
eval.evaluateModel(ps,test);
Double error_c=eval.errorRate();
System.out.println(error_c);
}
}