About this document
Maxbox Starter181 Board Game Regressor by Max Kleiner is a document available to read on EtoBox.
The document discusses the exploration of a dataset from BoardGameGeek containing data on 80,000 board games, focusing on predicting game ratings using machine learning techniques. It details the use of algorithms such as random forest and linear regression to analyze the data, along with various similarity measures and clustering methods. The author provides insights into data preprocessing, model training, and evaluation metrics to assess prediction accuracy.
- Author
- Max Kleiner
- Language
- EN