ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.
I have been experimenting the app and making some models with training data.
However, no matter what settings I change or what model I use, I can’t get an accuracy (or other metric) greater than 0.55.
I used every model available and change a the settings to optimize the algorithm but the highest accuracy I got was 0.55!
Has someone got a higher accuracy on training data?