List of usage examples for weka.classifiers Evaluation toSummaryString
public String toSummaryString(String title, boolean printComplexityStatistics)
From source file:tucil.dua.ai.TucilDuaAi.java
public static void crossValidation() throws Exception { Evaluation evaluation = new Evaluation(datas); Classifier attr_tree = new J48(); attr_tree.buildClassifier(datas);/* w w w .java 2s . co m*/ evaluation.crossValidateModel(attr_tree, datas, 10, new Random(1)); System.out.println("=====Run Information======"); System.out.println("======Classifier Model======"); System.out.println(attr_tree.toString()); System.out.println(evaluation.toSummaryString("====Stats======\n", false)); System.out.println(evaluation.toClassDetailsString("====Detailed Result=====\n")); System.out.println(evaluation.toMatrixString("======Confusion Matrix======\n")); }
From source file:tucil2ai.Tucil2AI.java
/** * * @param E/*from w ww .j a v a 2s. c o m*/ * @throws Exception */ public static void printEval(Evaluation E) throws Exception { System.out.println(E.toSummaryString("\nResults\n======\n", false)); System.out.println(E.toClassDetailsString()); System.out.println(E.toMatrixString()); }