Machine Learning, Data Science, Data Scientist, Mlops, Algorithms.
test_size=0.2, random_state=42) # Creating and training the Logistic Regression model model = LogisticRegression(max_iter=10000) model.fit(X_train, y_train) # Predicting the test set results y_pred = model.predict(X_test) # Evaluating the model accuracy = accuracy_score(y_test, y_pred) precision =