testModel: Test a trained model with labelled data.

In AleMorales/SeedSorter: Supervised classification of seeds from flow cytometry

Description

Test a trained model with labelled data.

Usage

testModel(model, task)

Arguments

model	A trained model as returned by the function trainAlgorithm().
task	A classification task as returned by createTrainingTask().

Value

A list with results of the prediction:

• prediction: Results of the prediction of class mlr::Prediction.

• error: Values of the balanced error rate (ber) and the mean mis-classification error (mmce) calculated from the prediction confusion matrix.

AleMorales/SeedSorter documentation built on Feb. 12, 2020, 4:13 a.m.