calculateEvaluationMeasures: Calculate Evaluation Measures

In KelseyChetnik/MetaClean: Detection of Low-Quality Peaks in Untargeted Metabolomics Data

Description

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

Usage

calculateEvaluationMeasures(pred, true)

Arguments

pred	factor. A vector of factors that represent predicted classes
true	factor. A vector of factors that represent the true classes

Value

A dataframe with the following columns: Model, CVNum, RepNum, Accuracy, PassFScore, PassRecall, PassPrecision, FailFScore, FailRecall, FailPrecision

Examples

# Calculate Evaluation Measures for test data
test_evalMeasures <- calculateEvaluationMeasures(pred=test_predictions_class,
pqMetrics_test$Class)

KelseyChetnik/MetaClean documentation built on May 17, 2021, 5:33 a.m.