我正在写一个WEKA分类器。我使用了评估类(http://weka.sourceforge.net/doc.dev/weka/classifiers/Evaluation.html)的方法toSummaryString(),toMatrixString和toClassDetailString来显示结果。结果显示正确。但是,我想用每个结果显示标准偏差值,因为它们是通过使用WEKA的实验者GUI显示的。我怎样才能做到这一点 ?
答案 0 :(得分:0)
要获得标准偏差,您需要使用Experiment
类,然后获取统计信息。以下是一个示例:Using the Experiment API。
答案 1 :(得分:0)
您可以使用以下代码:
package weka.api;
//import required classes
import weka.experiment.Stats;
import weka.core.AttributeStats;
import weka.core.Instance;
import weka.core.Instances;
import weka.core.converters.ConverterUtils.DataSource;
public class AttInst {
public static void main(String args[]) throws Exception{
//load dataset
DataSource source = new DataSource("D:/y.arff");
//get instances object
Instances data = source.getDataSet();
//set class index .. as the last attribute
if (data.classIndex() == -1) {
data.setClassIndex(data.numAttributes() - 1);
}
//get number of attributes (notice class is not counted)
int numAttr = data.numAttributes() - 1;
for (int i = 0; i < numAttr; i++) {
//check if current attr is of type nominal
if (data.attribute(i).isNominal()) {
System.out.println("The "+i+"th Attribute is Nominal");
//get number of values
int n = data.attribute(i).numValues();
System.out.println("The "+i+"th Attribute has: "+n+" values");
}
//get an AttributeStats object
AttributeStats as = data.attributeStats(i);
int dC = as.distinctCount;
System.out.println("The "+i+"th Attribute has: "+dC+" distinct values");
//get a Stats object from the AttributeStats
if (data.attribute(i).isNumeric()){
System.out.println("The "+i+"th Attribute is Numeric");
Stats s = as.numericStats;
System.out.println("The "+i+"th Attribute has min value: "+s.min+" and max value: "+s.max+" and mean value: "+s.mean+" and stdDev value: "+s.stdDev );
}
}
}
}