---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
D:\Users\psalm\AppData\Local\Temp/ipykernel_41176/1930297868.py in <module>
     14 print("Performance of kNN regressor with n = 10")
     15 breast_cancer_y_pred = knn_10_regr.predict(x_test)
---> 16 print("Mean squared error: %.2f" % mean_squared_error(y_test, breast_cancer_y))
     17 print("Coefficient of determination: %.2f" % r2_score(y_test, breast_cancer_y))
     18 print()

C:\ProgramData\Anaconda3\lib\site-packages\sklearn\utils\validation.py in inner_f(*args, **kwargs)
     61             extra_args = len(args) - len(all_args)
     62             if extra_args <= 0:
---> 63                 return f(*args, **kwargs)
     64
     65             # extra_args > 0
C:\ProgramData\Anaconda3\lib\site-packages\sklearn\metrics\_regression.py in mean_squared_error(y_true, y_pred, sample_weight, multioutput, squared)
    333     0.825...
    334     """
--> 335     y_type, y_true, y_pred, multioutput = _check_reg_targets(
    336         y_true, y_pred, multioutput)
    337     check_consistent_length(y_true, y_pred, sample_weight)
C:\ProgramData\Anaconda3\lib\site-packages\sklearn\metrics\_regression.py in _check_reg_targets(y_true, y_pred, multioutput, dtype)
     86         the dtype argument passed to check_array.
     87     """
---> 88     check_consistent_length(y_true, y_pred)
     89     y_true = check_array(y_true, ensure_2d=False, dtype=dtype)
     90     y_pred = check_array(y_pred, ensure_2d=False, dtype=dtype)

C:\ProgramData\Anaconda3\lib\site-packages\sklearn\utils\validation.py in check_consistent_length(*arrays)
    317     uniques = np.unique(lengths)
    318     if len(uniques) > 1:
--> 319         raise ValueError("Found input variables with inconsistent numbers of"
    320                          " samples: %r" % [int(l) for l in lengths])
    321

ValueError: Found input variables with inconsistent numbers of samples: [114, 569]