R: Extracts out-of-bag predictions from trained models.

getOOBPreds {mlr} | R Documentation

## Extracts out-of-bag predictions from trained models.

### Description

Learners like `randomForest` produce out-of-bag predictions. `getOOBPreds` extracts this information from trained models and builds a prediction object as provided by predict (with prediction time set to NA). In the classification case: What is stored exactly in the (Prediction) object depends on the `predict.type` setting of the Learner.

You can call `listLearners(properties = "oobpreds")` to get a list of learners which provide this.

### Usage

    getOOBPreds(model, task)

### Arguments

`model` | (WrappedModel) The model.
`task` | (Task) The task.

### Value

(Prediction).

### Examples

    training.set = sample(1:150, 50)
    lrn = makeLearner("classif.ranger", predict.type = "prob", predict.threshold = 0.6)
    mod = train(lrn, sonar.task, subset = training.set)
    oob = getOOBPreds(mod, sonar.task)
    oob
    performance(oob, measures = list(auc, mmce))

[Package mlr version 2.12.1 Index]