runtime error

/usr/local/lib/python3.10/site-packages/sklearn/base.py:376: InconsistentVersionWarning: Trying to unpickle estimator KMeans from version 1.2.2 when using version 1.5.1. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to: https://scikit-learn.org/stable/model_persistence.html#security-maintainability-limitations warnings.warn( /usr/local/lib/python3.10/site-packages/sklearn/base.py:376: InconsistentVersionWarning: Trying to unpickle estimator StandardScaler from version 1.2.2 when using version 1.5.1. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to: https://scikit-learn.org/stable/model_persistence.html#security-maintainability-limitations warnings.warn( /usr/local/lib/python3.10/site-packages/sklearn/base.py:493: UserWarning: X does not have valid feature names, but KMeans was fitted with feature names warnings.warn( Traceback (most recent call last): File "/home/user/app/app.py", line 24, in <module> clusters = kmeans.predict(features_scaled) File "/usr/local/lib/python3.10/site-packages/sklearn/cluster/_kmeans.py", line 1091, in predict X = self._check_test_data(X) File "/usr/local/lib/python3.10/site-packages/sklearn/cluster/_kmeans.py", line 951, in _check_test_data X = self._validate_data( File "/usr/local/lib/python3.10/site-packages/sklearn/base.py", line 654, in _validate_data self._check_n_features(X, reset=reset) File "/usr/local/lib/python3.10/site-packages/sklearn/base.py", line 443, in _check_n_features raise ValueError( ValueError: X has 4 features, but KMeans is expecting 14 features as input.

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