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.
if my model has more accuracy on smaller validation samples like 25 is this good or the model with high accuracy in large samples like 100 ? and from how much considered good accuracy of these models
if my model has more accuracy on smaller validation samples like 25 is this good or the model with high accuracy in large samples like 100 ? and from how much considered good accuracy of these models