getEvaluationMeasures: Calculate Evaluation Measures
In MetaClean: Detection of Low-Quality Peaks in Untargeted Metabolomics Data

Calculate evaluation measures using the predictions generated during cross-validation.

1	getEvaluationMeasures(models, k, repNum)

`models`	list. A list of trained models, like that returned by trainClassifiers()
`k`	integer. Number of folds used in cross-validation
`repNum`	integer. Number of cross-validation rounds

A dataframe with the following columns: Model, RepNum, Pass_FScore, Pass_Recall, Pass_Precision, Fail_FScore, Fail_Recall, Fail_Precision, Accuracy

1 2	# calculate all seven evaluation measures for each model and each round of cross-validation evalMeasuresDF <- getEvaluationMeasures(models=models, k=5, repNum=10)