change test dataset

Author: Maximilian Wenk

src/Main.java

@@ -9,7 +9,10 @@ public static void main (String[] args) throws Exception {
  // in the same project
  boolean index = true;
  boolean header = true;
- String dataset = "Dry_Bean_Dataset.csv";
+ String dataset = "Iris_unordered_2.csv";
+ dataset = "Dry_Bean_Dataset.csv";
+
+
 
  ClassificationOfFloatValues ob = new ClassificationOfFloatValues(dataset);
  ob.setIndex(true);

src/classification/ClassificationOfFloatValues.java

@@ -94,7 +94,9 @@ public void evaluateResults() {
  this.predictedTestData,
  this.sortedProbability,
  this.numberOfClasses);
- int[][] asdf = evaluationObject.getConfusionMatrixSimple();
+ System.out.println("\nSimple Confusion Matrix");
+ evaluationObject.getConfusionMatrixSimple();
+ System.out.println("\nNormalized Confusion Matrix");
  evaluationObject.getConfusionMatrixNormalized();
  }
  public void confusionMatrix() {

src/classification/DATA_evaluation.java

@@ -50,14 +50,14 @@ private void confusionMatrix() {
  }
 
 
-
+ /*
  for (int i = 0; i < this.numberOfClasses; i++) {
  for (int j = 0; j < this.numberOfClasses; j++) {
  System.out.print(this.confustionMatrix[i][j] + " ");
  }
  System.out.println();
  }
-
+ */
 
  }
 
@@ -91,6 +91,7 @@ protected int[][] getConfusionMatrixSimple() {
  System.out.println();
  }
 
+
  return confusionMatrixSimple;
  }
  protected float[][] getConfusionMatrixNormalized() {

src/classification/DistanceClassification.java

@@ -177,8 +177,8 @@ private void testClassificationModel() {
  tempDelta[j][this.rowCount -1] = (float) Math.sqrt(tempCalcDistance);
  this.predictedTestData[i][j][1] = Float.toString(tempDelta[j][this.rowCount -1]);
 
- System.out.print(" " + this.predictedTestData[i][j][0] + " ");
- System.out.println(this.predictedTestData[i][j][1]);
+ //System.out.print(" " + this.predictedTestData[i][j][0] + " ");
+ //System.out.println(this.predictedTestData[i][j][1]);