---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
File <timed exec>:1, in <module>

Input In [4], in best_model(model, params, features, target, title, list_num, list_cat)
     17 pipeline_model = Pipeline(
     18                         steps=[
     19                             ('preprocessor', preprocessor_model),
     20                             ('model', model)
     21                                 ])
     23 gs_model = GridSearchCV(estimator=pipeline_model,
     24                         param_grid=params,
     25                         scoring='roc_auc',
     26                         cv=CV,
     27                         n_jobs=-1)
---> 29 gs_model.fit(features, target)
     31 best_model = gs_model.best_estimator_
     32 best_params = gs_model.best_params_

File ~\AppData\Local\Programs\Python\Python39\lib\site-packages\sklearn\model_selection\_search.py:874, in BaseSearchCV.fit(self, X, y, groups, **fit_params)
    868     results = self._format_results(
    869         all_candidate_params, n_splits, all_out, all_more_results
    870     )
    872     return results
--> 874 self._run_search(evaluate_candidates)
    876 # multimetric is determined here because in the case of a callable
    877 # self.scoring the return type is only known after calling
    878 first_test_score = all_out[0]["test_scores"]

File ~\AppData\Local\Programs\Python\Python39\lib\site-packages\sklearn\model_selection\_search.py:1388, in GridSearchCV._run_search(self, evaluate_candidates)
   1386 def _run_search(self, evaluate_candidates):
   1387     """Search all candidates in param_grid"""
-> 1388     evaluate_candidates(ParameterGrid(self.param_grid))

File ~\AppData\Local\Programs\Python\Python39\lib\site-packages\sklearn\model_selection\_search.py:851, in BaseSearchCV.fit.<locals>.evaluate_candidates(candidate_params, cv, more_results)
    844 elif len(out) != n_candidates * n_splits:
    845     raise ValueError(
    846         "cv.split and cv.get_n_splits returned "
    847         "inconsistent results. Expected {} "
    848         "splits, got {}".format(n_splits, len(out) // n_candidates)
    849     )
--> 851 _warn_or_raise_about_fit_failures(out, self.error_score)
    853 # For callable self.scoring, the return type is only know after
    854 # calling. If the return type is a dictionary, the error scores
    855 # can now be inserted with the correct key. The type checking
    856 # of out will be done in `_insert_error_scores`.
    857 if callable(self.scoring):

File ~\AppData\Local\Programs\Python\Python39\lib\site-packages\sklearn\model_selection\_validation.py:367, in _warn_or_raise_about_fit_failures(results, error_score)
    360 if num_failed_fits == num_fits:
    361     all_fits_failed_message = (
    362         f"\nAll the {num_fits} fits failed.\n"
    363         "It is very likely that your model is misconfigured.\n"
    364         "You can try to debug the error by setting error_score='raise'.\n\n"
    365         f"Below are more details about the failures:\n{fit_errors_summary}"
    366     )
--> 367     raise ValueError(all_fits_failed_message)
    369 else:
    370     some_fits_failed_message = (
    371         f"\n{num_failed_fits} fits failed out of a total of {num_fits}.\n"
    372         "The score on these train-test partitions for these parameters"
   (...)
    376         f"Below are more details about the failures:\n{fit_errors_summary}"
    377     )

ValueError:
All the 120 fits failed.
It is very likely that your model is misconfigured.
You can try to debug the error by setting error_score='raise'.

Below are more details about the failures:
--------------------------------------------------------------------------------
120 fits failed with the following error:
Traceback (most recent call last):
  File "C:\Users\HP\AppData\Local\Programs\Python\Python39\lib\site-packages\pandas\core\indexes\base.py", line 3653, in get_loc
    return self._engine.get_loc(casted_key)
  File "pandas\_libs\index.pyx", line 147, in pandas._libs.index.IndexEngine.get_loc
  File "pandas\_libs\index.pyx", line 176, in pandas._libs.index.IndexEngine.get_loc
  File "pandas\_libs\hashtable_class_helper.pxi", line 7080, in pandas._libs.hashtable.PyObjectHashTable.get_item
  File "pandas\_libs\hashtable_class_helper.pxi", line 7088, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'target'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "C:\Users\HP\AppData\Local\Programs\Python\Python39\lib\site-packages\sklearn\utils\__init__.py", line 448, in _get_column_indices
    col_idx = all_columns.get_loc(col)
  File "C:\Users\HP\AppData\Local\Programs\Python\Python39\lib\site-packages\pandas\core\indexes\base.py", line 3655, in get_loc
    raise KeyError(key) from err
KeyError: 'target'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "C:\Users\HP\AppData\Local\Programs\Python\Python39\lib\site-packages\sklearn\model_selection\_validation.py", line 686, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "C:\Users\HP\AppData\Local\Programs\Python\Python39\lib\site-packages\sklearn\pipeline.py", line 401, in fit
    Xt = self._fit(X, y, **fit_params_steps)
  File "C:\Users\HP\AppData\Local\Programs\Python\Python39\lib\site-packages\sklearn\pipeline.py", line 359, in _fit
    X, fitted_transformer = fit_transform_one_cached(
  File "C:\Users\HP\AppData\Local\Programs\Python\Python39\lib\site-packages\joblib\memory.py", line 349, in __call__
    return self.func(*args, **kwargs)
  File "C:\Users\HP\AppData\Local\Programs\Python\Python39\lib\site-packages\sklearn\pipeline.py", line 893, in _fit_transform_one
    res = transformer.fit_transform(X, y, **fit_params)
  File "C:\Users\HP\AppData\Local\Programs\Python\Python39\lib\site-packages\sklearn\utils\_set_output.py", line 140, in wrapped
    data_to_wrap = f(self, X, *args, **kwargs)
  File "C:\Users\HP\AppData\Local\Programs\Python\Python39\lib\site-packages\sklearn\compose\_column_transformer.py", line 724, in fit_transform
    self._validate_column_callables(X)
  File "C:\Users\HP\AppData\Local\Programs\Python\Python39\lib\site-packages\sklearn\compose\_column_transformer.py", line 426, in _validate_column_callables
    transformer_to_input_indices[name] = _get_column_indices(X, columns)
  File "C:\Users\HP\AppData\Local\Programs\Python\Python39\lib\site-packages\sklearn\utils\__init__.py", line 456, in _get_column_indices
    raise ValueError("A given column is not a column of the dataframe") from e
ValueError: A given column is not a column of the dataframe