FBSim: football-playing AI agents in Rust

I took a two week vacation in early November. Somehow I decided to spend it learning a bit more about Rust and Reinforcement Learning (RL), a sub-field of AI that I haven’t explored much before. We won’t be talking about RL this post, though. That’s for a future blogpost. All of that lead to meContinue reading “FBSim: football-playing AI agents in Rust”

Average Precision is sensitive to class priors

Average Precision (AP) is an evaluation metric for ranking systems that’s often recommended for use with imbalanced binary classification problems, especially when the classification threshold (i.e. the minimum score to be considered a positive) is variable, or not yet known. When you use AP for classification you’re essentially trying to figure out whether a classifierContinue reading “Average Precision is sensitive to class priors”