"Found input variables with inconsistent numbers of samples" Have I done something wrong during the train_test_split?

I am trying to logistic Regression Model, and run some test but I keep getting this error. Not really sure what I have done differently to everyone else

from sklearn import preprocessing
X = df.iloc[:,:len(df.columns)-1]
y = df.iloc[:,len(df.columns)-1]ere

This is how I am separating my columns

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=0)

TTS

logReg = LogisticRegression(n_jobs=-1)
logReg.fit(X_train, y_train)

y_pred = logReg.predict(X_train)

mae = mean_absolute_error(y_test, y_pred)
print("MAE:" , mae)

ValueError                                Traceback (most recent call last)
Cell In [112], line 1
----> 1 mae = mean_absolute_error(y_test, y_pred)
      2 print("MAE:" , mae)

File ~AppDataLocalProgramsPythonPython310libsite-packagessklearnmetrics_regression.py:196, in mean_absolute_error(y_true, y_pred, sample_weight, multioutput)
    141 def mean_absolute_error(
    142     y_true, y_pred, *, sample_weight=None, multioutput="uniform_average"
    143 ):
    144     """Mean absolute error regression loss.
    145 
    146     Read more in the :ref:`User Guide <mean_absolute_error>`.
   (...)
    194     0.85...
    195     """
--> 196     y_type, y_true, y_pred, multioutput = _check_reg_targets(
    197         y_true, y_pred, multioutput
    198     )
    199     check_consistent_length(y_true, y_pred, sample_weight)
    200     output_errors = np.average(np.abs(y_pred - y_true), weights=sample_weight, axis=0)

File ~AppDataLocalProgramsPythonPython310libsite-packagessklearnmetrics_regression.py:100, in _check_reg_targets(y_true, y_pred, multioutput, dtype)
     66 def _check_reg_targets(y_true, y_pred, multioutput, dtype="numeric"):
     67     """Check that y_true and y_pred belong to the same regression task.
     68 
     69     Parameters
   (...)
     98         correct keyword.
     99     """
--> 100     check_consistent_length(y_true, y_pred)
    101     y_true = check_array(y_true, ensure_2d=False, dtype=dtype)
    102     y_pred = check_array(y_pred, ensure_2d=False, dtype=dtype)

File ~AppDataLocalProgramsPythonPython310libsite-packagessklearnutilsvalidation.py:387, in check_consistent_length(*arrays)
    385 uniques = np.unique(lengths)
    386 if len(uniques) > 1:
--> 387     raise ValueError(
    388         "Found input variables with inconsistent numbers of samples: %r"
    389         % [int(l) for l in lengths]
    390     )

ValueError: Found input variables with inconsistent numbers of samples: [25404, 101612]

I thought it was the way I split the columns but that doesn’t seem to be the issue
It works when the test size is 50/50 but no other test size works