Data Science, Data Visualization, Data Analysis, Data, Machine Learning.
random_state=42) model = LogisticRegression(solver='lbfgs', max_iter=1000) model.fit(X_train, y_train) 6. Evaluate the model Let’s evaluate the accuracy of our logistic regression model on the test set using Sklearn’s accuracy_score function: from sklearn.metrics import accuracy_score # Make