Coloquei o código = X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=2811)
Retornou= ValueError Traceback (most recent call last)
Cell In[72], line 1
----> 1 X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=2811)
File ~\Downloads\Alura\Lib\site-packages\sklearn\utils\_param_validation.py:211, in validate_params.<locals>.decorator.<locals>.wrapper(*args, **kwargs)
205 try:
206 with config_context(
207 skip_parameter_validation=(
208 prefer_skip_nested_validation or global_skip_validation
209 )
210 ):
--> 211 return func(*args, **kwargs)
212 except InvalidParameterError as e:
213 # When the function is just a wrapper around an estimator, we allow
214 # the function to delegate validation to the estimator, but we replace
215 # the name of the estimator by the name of the function in the error
216 # message to avoid confusion.
217 msg = re.sub(
218 r"parameter of \w+ must be",
219 f"parameter of {func.__qualname__} must be",
220 str(e),
221 )
File ~\Downloads\Alura\Lib\site-packages\sklearn\model_selection\_split.py:2614, in train_test_split(test_size, train_size, random_state, shuffle, stratify, *arrays)
2611 if n_arrays == 0:
2612 raise ValueError("At least one array required as input")
-> 2614 arrays = indexable(*arrays)
2616 n_samples = _num_samples(arrays[0])
2617 n_train, n_test = _validate_shuffle_split(
2618 n_samples, test_size, train_size, default_test_size=0.25
2619 )
File ~\Downloads\Alura\Lib\site-packages\sklearn\utils\validation.py:455, in indexable(*iterables)
436 """Make arrays indexable for cross-validation.
437
438 Checks consistent length, passes through None, and ensures that everything
(...)
451 sparse matrix, or dataframe) or `None`.
452 """
454 result = [_make_indexable(X) for X in iterables]
--> 455 check_consistent_length(*result)
456 return result
File ~\Downloads\Alura\Lib\site-packages\sklearn\utils\validation.py:409, in check_consistent_length(*arrays)
407 uniques = np.unique(lengths)
408 if len(uniques) > 1:
--> 409 raise ValueError(
410 "Found input variables with inconsistent numbers of samples: %r"
411 % [int(l) for l in lengths]
412 )
ValueError: Found input variables with inconsistent numbers of samples: [1, 365]
Como posso resolver?
