1
Install Lazypredict
Run `pip install lazypredict` to install the library.
2
Import Required Classes
Import LazyClassifier or LazyRegressor from `lazypredict.Supervised` depending on your task.
3
Prepare Data
Split your dataset into training and testing sets using scikit-learn's `train_test_split`.
4
Fit Models and Compare
Instantiate the classifier or regressor and call the `fit` method with training and testing data to get model performance comparisons.
5
Review Results
Examine the output DataFrame showing model rankings by metrics such as accuracy and training time.