Iris dataset for automatic clasification

@@ -164,10 +164,10 @@ if __name__ == "__main__":
         oFile.write('Classification report: \n')
         oFile.write(classification_report(trueEvaluationClasses, y_pred) + '\n')
         if options.classifier in ["Perceptron", "SVM"]:
-            oFile.write('Confidence scores: \n')
-            oFile.write("{}".format(confidence_scores))
             oFile.write('\nWeights assigned to the features: \n')
             oFile.write("{}".format(classifier.coef_))
+            oFile.write('Confidence scores: \n')
+            oFile.write("{}".format(confidence_scores))
 
     print("     Saving test report done!")