Test a random forest classifier

Share:

Description

Function to apply a random forest classifier to some data.

Usage

1
testRF(featDirs, modelName, saveDir, testNames)

Arguments

featDirs

Path to a directory (or list of directories) containing features, i.e., computed by the function sensorsToFeatures.

modelName

Path to pre-trained model.

saveDir

Path to a directory where predictions will be saved. Predictions will be saved in files named <identifier>.csv with two fields: timestamp, prediction.

testNames

List of participant identifiers to use.

Author(s)

Katherine Ellis

See Also

classify, testHMM

Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.