Fixed small error with iris classification training error report.

jeffheaton · Oct 4, 2014 · c059715 · c059715
1 parent 0a840ca
commit c059715
Showing 1 changed file with 3 additions and 2 deletions.
diff --git a/src/main/java/org/encog/examples/guide/classification/IrisClassification.java b/src/main/java/org/encog/examples/guide/classification/IrisClassification.java
@@ -43,6 +43,7 @@
 import org.encog.ml.model.EncogModel;
 import org.encog.util.csv.CSVFormat;
 import org.encog.util.csv.ReadCSV;
+import org.encog.util.simple.EncogUtility;
 
 public class IrisClassification {
 	public static String DATA_URL = "https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data";
@@ -117,8 +118,8 @@ public void run(String[] args) {
 			MLRegression bestMethod = (MLRegression)model.crossvalidate(5, true);
 
 			// Display the training and validation errors.
-			System.out.println( "Training error: " + model.calculateError(bestMethod, model.getTrainingDataset()));
-			System.out.println( "Validation error: " + model.calculateError(bestMethod, model.getValidationDataset()));
+			System.out.println( "Training error: " + EncogUtility.calculateRegressionError(bestMethod, model.getTrainingDataset()));
+			System.out.println( "Validation error: " + EncogUtility.calculateRegressionError(bestMethod, model.getValidationDataset()));
 
 			// Display our normalization parameters.
 			NormalizationHelper helper = data.getNormHelper();