calculate_DT_performance: Calculate the performances of a DT
In CedricMondy/ecodiag: Build Standardized Diagnostic Tool Models

Description Usage Arguments Details Value See Also

This function allows to quantify the performances of a DT model built using the build_DT function, ideally using a different data set than the one used to train the DT.

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calculate_DT_performance(pathDT, testMetrics = NULL,
  testPressures = NULL, low = "low", impaired = "impaired",
  smoothROC = TRUE)

`pathDT`	character string, the path where the built models will be saved
`low`	character vectors with the labels of the pressure classes (in `pressures`) corresponding to low impact and impaired situations, respectively.
`impaired`	character vectors with the labels of the pressure classes (in `pressures`) corresponding to low impact and impaired situations, respectively.
`smoothROC`	if TRUE, the ROC curve is passed to smooth to be smoothed.

The function will calculate the ROC curves (smoothed or not depending on argument smoothROC) and the corresponding Area Under the Curve (AUC) for each of the DT models using (i) the test data set stored with the models and (ii) a different test data set (provided using testPressures and testMetrics).

a list with two elements: - AUC: a data frame with the calculated AUC in both the training and test data sets; - ROC: a list of ggplot objects (one per DT model) containing the ROC curves

roc build_DT

CedricMondy/ecodiag documentation built on May 10, 2019, 3:14 a.m.