Classification Iris data set

@@ -152,11 +152,11 @@ if __name__ == "__main__":
         if args.classifier in ["Perceptron", "SVM"]:
             oFile.write('\nWeights assigned to the features: \n')
             oFile.write("{}".format(classifier.coef_))
-            oFile.write('Confidence scores: \n')
+            oFile.write('\nConfidence scores: \n')
             oFile.write("{}".format(confidence_scores))
         if args.classifier == "SVM":
-            oFile.write('Number of support vectors per class: {}\n'.format(classifier.n_support_))
-            oFile.write('Support vectors: {}\n'.format(classifier.support_vectors_))
+            oFile.write('\nNumber of support vectors per class: {}\n'.format(classifier.n_support_))
+            oFile.write('\nSupport vectors: {}\n'.format(classifier.support_vectors_))
 
     print("     Saving evaluation report done!")