classifier_accuracies: Classifier Accuracies
In smanchan96/binspec: Binary Classification on Mass Spectra

Find the best classifier using leave-one-out cross validation (svm) and out-of-bag error (random forests). Returns a list of classifier results

1	classifier_accuracies(peaks, labels, training, min_peak_percentage)

`peaks`	Boolean matrix of mass spectra rows with m/z columns, indicating if an m/z value corresponds to a peak.
`labels`	The correct classifications of the peaks.
`training`	The rows to actually use to train
`minpeaks`	How many "true" values must show up for a given m/z value for it to be considered a feature.