getTestFoldData: Collate predictions for all 10 test folds from k-folds CV,...

In saharaja/imputeORS: Impute Missing Values in the BLS Occupational Requirements Survey

Description

Takes the results of a k-folds CV run and collates all the test fold data. In the KFCV analysis, each of 10 folds is treated as the test fold, and a model is generated and iterated over each of these test folds. The predictions resulting from each test fold are combined for each iteration, such that there is a complete predicted dataset (all known records) obtained from each iteration. Recall that Iteration 0 is simply the output of smart guessing (no modeling involved).

Usage

getTestFoldData(model.results)

Arguments

model.results

Modeling results (output of iterateModelKFCV())

Value

Collated predictions of each test fold, by iteration

See Also

iterateModelKFCV()

saharaja/imputeORS documentation built on Feb. 4, 2022, 12:27 a.m.