Educational Platform

Bogdan works at a company that runs an educational platform.

He is working on a project to classify student performance data. His team needs to handle a few categorical features in the dataset. One team member suggested using Label encoding, while another advocated for One-Hot encoding.

Bogdan must decide, so he asked both colleagues to write a summary of the approaches.

Here are some of the highlights. Please, select those you think are correct.

One-Hot encoding replaces each label from the categorical feature with a unique integer based on alphabetical ordering.

One-Hot encoding creates additional features based on the number of unique values in the categorical feature.

Label encoding replaces each label from the categorical feature with a unique integer based on alphabetical ordering.

Label encoding creates additional features based on the number of unique values in the categorical feature.