%%time
from sklearn.model_selection import GridSearchCV
grid_search = GridSearchCV(knn_clf, param_grid)
grid_search.fit(X_train, y_train)

ValueError                                Traceback (most recent call last)
<ipython-input-19-10311b8b707f> in <module>
      1 from sklearn.model_selection import GridSearchCV
      2 grid_search = GridSearchCV(knn_clf, param_grid)
----> 3 grid_search.fit(X_train, y_train)

D:\Software\Anaconda\lib\site-packages\sklearn\model_selection\_search.py in fit(self, X, y, groups, **fit_params)
    628             refit_metric = 'score'
    629 
--> 630         X, y, groups = indexable(X, y, groups)
    631         n_splits = cv.get_n_splits(X, y, groups)
    632 

D:\Software\Anaconda\lib\site-packages\sklearn\utils\validation.py in indexable(*iterables)
    228         else:
    229             result.append(np.array(X))
--> 230     check_consistent_length(*result)
    231     return result
    232 

D:\Software\Anaconda\lib\site-packages\sklearn\utils\validation.py in check_consistent_length(*arrays)
    203     if len(uniques) > 1:
    204         raise ValueError("Found input variables with inconsistent numbers of"
--> 205                          " samples: %r" % [int(l) for l in lengths])
    206 
    207 

ValueError: Found input variables with inconsistent numbers of samples: [1437, 360]