本文整理汇总了Java中weka.experiment.RandomSplitResultProducer类的典型用法代码示例。如果您正苦于以下问题：Java RandomSplitResultProducer类的具体用法？Java RandomSplitResultProducer怎么用？Java RandomSplitResultProducer使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
RandomSplitResultProducer类属于weka.experiment包，在下文中一共展示了RandomSplitResultProducer类的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: main
import weka.experiment.RandomSplitResultProducer; //导入依赖的package包/类
public static void main(String[] args) {
Instances instances = LoadUtils.loadDataFile("paw02a-600-5-0-BI-ver-3-zmieszane.arff");
Random rand = new Random(1);
instances.randomize(rand);
RandomSplitResultProducer x = new RandomSplitResultProducer();
if (instances.classIndex() == -1) {
instances.setClassIndex(instances.numAttributes() - 1);
}
double percent = 66;
int trainSize = (int) Math.round(instances.numInstances() * percent
/ 100);
int testSize = instances.numInstances() - trainSize;
Instances train = new Instances(instances, 0, trainSize);
Instances test = new Instances(instances, trainSize, testSize);
train.randomize(rand);
test.randomize(rand);
try {
J48 classifier = new J48();
classifier.setOptions(weka.core.Utils.splitOptions("-U -M 2"));
FilteredClassifier fc = new FilteredClassifier();
// SMOTE smote = new SMOTE();
// smote.setOptions(weka.core.Utils.splitOptions("-C 0 -K 5 -P " + getSMOTEPercentage(train) + " -S 1"));
// smote.setInputFormat(train);
// fc.setFilter(smote);
fc.setClassifier(classifier);
fc.buildClassifier(train);
Evaluation eval = new Evaluation(train);
eval.evaluateModel(classifier, test);
System.out.println(eval.toSummaryString());
System.out.println(eval.toMatrixString());
} catch (Exception e) {
e.printStackTrace();
}
}