Ludum Dare Classification (w/ LightGBM + Image & Text Processing)

Ludum Dare is an online game development competition, where submissions receive a rating from 1-5 stars. This project aims to predict the rating of a project using a set of 32 diverse parameters. To achieve this, a model was developed centred around LightGBM as a multiclass classifier. In addition, images were assessed for their number of colours, and the project name and description were given a classification separately using PyTorch text classification. With tuning, this approach achieved a 94.15% accuracy, placing 1st on the class leaderboard (at the time of writing). It also demonstrated the value of practical machine learning.

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