# Introduction In this lab, we will learn how to generate a multilabel dataset using the `make_multilabel_classification` function of Scikit-Learn library. The function generates random samples of multilabel data, where each sample has counts of two features, which are differently distributed in each of two classes. ## VM Tips After the VM startup is done, click the top left corner to switch to the **Notebook** tab to access Jupyter Notebook for practice. Sometimes, you may need to wait a few seconds for Jupyter Notebook to finish loading. The validation of operations cannot be automated because of limitations in Jupyter Notebook. If you face issues during learning, feel free to ask Labby. Provide feedback after the session, and we will promptly resolve the problem for you.
Click the virtual machine below to start practicing