Training, crossvalidation and testing dataset

@@ -223,7 +223,7 @@ if __name__ == "__main__":
         # kNN
         # kNN
         classifier = KNeighborsClassifier()
         classifier = KNeighborsClassifier()
         paramGrid = {'n_neighbors ': [3, 5, 7]}
         paramGrid = {'n_neighbors ': [3, 5, 7]}
-        myClassifier = model_selection.RandomizedSearchCV(classifier, paramGrid, n_iter=nIter,
+        myClassifier = model_selection.GridSearchCV(classifier, paramGrid, n_iter=nIter,
                                                           cv=crossV, n_jobs=jobs, verbose=3)
                                                           cv=crossV, n_jobs=jobs, verbose=3)
     else:
     else:
         print("Bad classifier")
         print("Bad classifier")