Python Forum

Hi Everyone,

I am trying to print coefficients for my logistic regression model so I can get the scores for each variable input to see how predictive they are. Does anyone know how to print the coefficients with their input column (or variable) names?

final_model = grid_search.best_estimator_

X_test = test_set.drop("default.payment.next.month", axis=1)
y_test = test_set["default.payment.next.month"].copy()

X_test_prepared = cred_pipeline.transform(X_test)
final_predictions = final_model.predict(X_test_prepared)

final_mse = mean_squared_error(y_test, final_predictions)
final_rmse = np.sqrt(final_mse)
display_scores(final_rmse)

coef = np.array(final_predictions.coef_)
print(coef)

my error

coef = np.array(final_predictions.coef_)
print(coef)
Traceback (most recent call last):

File "<ipython-input-25-f79449f13b02>", line 1, in <module>
coef = np.array(final_predictions.coef_)

AttributeError: 'numpy.ndarray' object has no attribute 'coef_'

What about the coef_ of final_model?

final_model = grid_search.best_estimator_
...
print(final_model.coef_)