Model performance on training, validation, and test datasets.

CV thresholds of 2.5 were used for Multinomial Logistic Regression and Neural Networks while a threshold of 3.5 was used for all other models. F-beta was calculated as a measure of classification accuracy for the training, validation, and test datasets. Log2 size is log base 2 of the cluster size. Differences between these distributions highlight the effect of overfitting.