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MovieLens (nb intro)

EXCERPT (BLOG ITEM + OG, TWITTER)

MovieLens - Predicting a user's gender based on the movies they have watched

In this notebook, we will apply getML to a dataset that is often used for benchmarking in the relational learning literature: The MovieLens dataset.

Summary:

  • Prediction type: Classification model
  • Domain: Entertainment
  • Prediction target: The gender of a user
  • Population size: 6039

Author: Dr. Patrick Urbanke

Background

The MovieLens dataset is often used in the relational learning literature has a benchmark for newly developed algorithms. Following the tradition, we benchmark getML's own algorithms on this dataset as well. The task is to predict a user's gender based on the movies they have watched.

It has been downloaded from the CTU Prague relational learning repository (Motl and Schulte, 2015).

Related code example

Notebook:
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Open in mybinder