Prediction: Prediction object.

In riebetob/mlr: Machine Learning in R

Description

Result from predict.WrappedModel. Use as.data.frame to access all information in a convenient format. The function getPredictionProbabilities is useful to access predicted probabilities.

The data member of the object contains always the following columns: id, index numbers of predicted cases from the task, response either a numeric or a factor, the predicted response values, truth, either a numeric or a factor, the true target values. If probabilities were predicted, as many numeric columns as there were classes named prob.classname. If standard errors were predicted, a numeric column named se.

The constructor makePrediction is mainly for internal use.

Object members:

predict.type [character(1)]

Type set in setPredictType.

data [data.frame]

See details.

threshold [numeric(1)]

Threshold set in predict function.

task.desc [TaskDesc]

Task description object.

time [numeric(1)]

Time learner needed to generate predictions.

error [character(1)]

Any error messages generated by the learner (default NA_character_).

Internal, do not use!

Usage

makePrediction(task.desc, row.names, id, truth, predict.type,
  predict.threshold = NULL, y, time, error = NA_character_, dump = NULL)

riebetob/mlr documentation built on May 20, 2019, 5:58 p.m.