Error rates of supervised learning methods for variant calling

Several supervised machine learning models were applied to the binary classification task of predicting True Positive or False Positive variants, using several filtering scores as input.

Usage

data("VariantModels")

Format

List of 6 data.frames: roc, auc, error, ranks, thresholds, minima.

Source

https://github.com/tdhock/malaria-evolution-viz/blob/master/figure-folds.R