weka.classifiers.meta.FilteredClassifier Java Examples

The following examples show how to use weka.classifiers.meta.FilteredClassifier. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example #1
Source File: WekaFilteredClassifierTest.java    From Java-Data-Science-Cookbook with MIT License 5 votes vote down vote up 
public void buildFilteredClassifier(){
	rf = new RandomForest();
	Remove rm = new Remove();
	rm.setAttributeIndices("1");
	FilteredClassifier fc = new FilteredClassifier();
	fc.setFilter(rm);
	fc.setClassifier(rf);
	try{
		fc.buildClassifier(weather);
		for (int i = 0; i < weather.numInstances(); i++){
			double pred = fc.classifyInstance(weather.instance(i));
			System.out.print("given value: " + weather.classAttribute().value((int) weather.instance(i).classValue()));
			System.out.println("---predicted value: " + weather.classAttribute().value((int) pred));
		}
	} catch (Exception e) {
	}
}