March Madness Predictor

Description

A from scratch implementation of a genetic algorithm neural network used to predict scores for March Madness so I can pwn my friends.

This is not a serious attempt at a march madness predictor but rather an exercise to gain a deeper understanding of machine learning and improve my skills at Rust async code.

Data collected from here.

Library used is something I've separated for use in other AI projects. It is maintained here.

Build/Run

You just need the Rust build system, cargo

Train:

cargo run --release -- train

The release is important because it adds a MAJOR performance boost

Predict:

cargo run --release -- predict <year> <round> <optionally region> <higher seed> <higher seed team> <lower seed> <lower seed team>

Round can be (use backslashes to escape spaces):

• OpeningRound
• RoundOf64
• RoundOf32
• Sweet16
• Elite8
• Semifinals
• Championship

Region can be (use backslashes to escape spaces):

• East
• Midwest
• South
• Southeast
• Southwest
• West

Example: cargo run --release -- predict 23 RoundOf64 West 9 Arkansas 8 Iowa