calcPerformance: Function to calculate performance of a classification model
In TLBC: Two-Level Behavior Classification

Description Usage Arguments Value Author(s) See Also Examples

Calculates several performance metrics.

1	calcPerformance(annotations, predictions, winSize, names=NULL, combineStanding=FALSE)

`annotations`	Path to file containing bout-level annotations, a directory of files containing bout-level annotations, or a directory of instance-level annotations (i.e., the output of funciton annotationsToLabels).
`predictions`	Path to directory containing predictions (i.e., the saveDir argument to the function classify).
`winSize`	Window size in seconds.
`names`	(Optional) List of identifiers to use.
`combineStanding`	logical: combine standing still and standing moving into a single category?

Object containing confusion matrix and several performance metrics.

Katherine Ellis

confusionMatrix

## Not run: 

# compute the performance of a model on a dataset
myAnnotations="~/myStudy/annotations.csv"
myPredictions="~/myStudy/myModelPredictions"
WS=60
calcPerformance(annotations=myAnnotations, predictions=myPredictions, winSize=WS)

## End(Not run)