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What is Predicting DotA2 Match Winners Using Regression about?

This document summarizes a research project that aims to predict the winning side in Dota 2 matches using logistic regression models. The researchers collected match and player data using APIs and filtered out invalid matches. They tested a baseline model that only considered hero lineups, representing each hero as a feature. This baseline model achieved a training error of 28% and testing error of 45%, indicating hero lineups alone were not enough to accurately predict matches. The researchers hypothesized

Author

Jair Polanco

Language

EN