Extracts out-of-bag predictions from trained models.
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.
getOOBPreds(model, task)
model |
(WrappedModel) |
task |
(Task) |
(Prediction).
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))Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.