Training, crossvalidation and testing dataset

@@ -224,7 +224,7 @@ if __name__ == "__main__":
         k_range = list(range(3, 7, 2))
         k_range = list(range(3, 7, 2))
         classifier = KNeighborsClassifier()
         classifier = KNeighborsClassifier()
         paramGrid = {'n_neighbors ': k_range}
         paramGrid = {'n_neighbors ': k_range}
-        myClassifier = model_selection.RandomizedSearchCV(classifier, paramGrid, n_iter=nIter,
+        myClassifier = model_selection.RandomizedSearchCV(classifier, paramGrid, n_iter=3,
                                                           cv=crossV, n_jobs=jobs, verbose=3)
                                                           cv=crossV, n_jobs=jobs, verbose=3)
     else:
     else:
         print("Bad classifier")
         print("Bad classifier")