findTestPreds: Compute and locate test predictions
In forestError: A Unified Framework for Random Forest Prediction Error Estimation

Description Usage Arguments Details Value Author(s) See Also

View source: R/findtestpreds.R

Predicts each test observation's response using the random forest and, for each test observation and tree, finds the terminal node of the tree in which the test observation falls.

1	findTestPreds(forest, X.test, n.cores = 1)

`forest`	The random forest object being used for prediction.
`X.test`	A `matrix` or `data.frame` with the observations to be predicted. Each row should be an observation, and each column should be a predictor variable.
`n.cores`	Number of cores to use (for parallel computation in `ranger`).

This function accepts regression random forests built using the randomForest, ranger, randomForestSRC, and quantregForest packages.

A data.table with the following four columns:

`rowid_test`	The row ID of the test observation as provided by `X.test`
`pred`	The random forest prediction of the test observation
`tree`	The ID of the tree of the random forest
`terminal_node`	The ID of the terminal node of the tree in which the test observation falls