zero-to-mastery-ml
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Resolved Error in sklearn Lesson File - Incorrect Data Splitting
I have resolved an error in the provided sklearn lesson file. Below is my updated code along with the corrected data splitting after preprocessing:
Corrected data splitting after preprocessing
X_train, X_test, y_train, y_test = train_test_split(X_transform_df, y, test_size=0.2, random_state=5)
Fit and score the model
grid_cv = GridSearchCV(estimator=model, param_grid=param, cv=5, verbose=2)
grid_cv.fit(X_train, y_train)
y_preds = grid_cv.predict(X_test)
evaluation_metrics(y_test, y_preds)
You can also access the IPython Notebook containing the complete code and execution results updated-Notebook.