am working on fake news detection. i have really gone fall. i have been able to display the accuracy score but i want include other evaluation metrics (Precision_score, F1_score, recall_score

this is a model for predicting fake news using features from the dataset after scaling

 X_train, X_test, y_train, y_test = train_test_split(X, Ylabels, test_size = 0.2, random_state =42)
 logit = LogisticRegression()
 logit.fit(X_train, y_train)
print("Accuracy Score: ", logit.score(X_test, y_test))

Accuracy Score: 0.9267158873393492 Precision Score: 0.xxxxxxx Recall Score: 0.xxxxxxxx F1 Score: 0.xxxxxxxxx

confusion matrix [[xxxx xxxxxx] [ xx xxxxxx]]