Overview

This tutorial demonstrates how to evaluate a multi-label classification model for predicting movie genres based on their descriptions. We'll evaluate the model on a curated evaluation set and monitor its performance on production data. The tutorial is divided into 3 parts:

• Creating an Application and Uploading the Data, with Deepchecks' SDK or UI
• Evaluation Set Analysis on a labeled dataset of movies released before 2021.
• Production Monitoring (movies released in 2021 and later) using Deepchecks' auto-annotation features.