Classification Iris data set

@@ -151,9 +151,9 @@ if __name__ == "__main__":
         oFile.write(classification_report(trueEvaluationClasses, y_pred) + '\n')
         if args.classifier in ["Perceptron", "SVM"]:
             oFile.write('\nWeights assigned to the features: \n')
-            oFile.write("{}".format(classifier.coef_))
-            oFile.write('\nConfidence scores: \n')
-            oFile.write("{}".format(confidence_scores))
+            oFile.write("{}\n".format(classifier.coef_))
+            oFile.write('Confidence scores: \n')
+            oFile.write("{}\n".format(confidence_scores))
         if args.classifier == "SVM":
             oFile.write('Number of support vectors per class: \n{}\n'.format(classifier.n_support_))
             oFile.write('Support vectors: \n{}\n'.format(classifier.support_vectors_))