emil.predict.randomForest

object

Dataset of observations to be classified.

A toolbox for designing and evaluating predictive models with
    resampling methods. The aim of this package is to provide a simple and
    efficient general framework for working with any type of prediction
    problem, be it classification, regression or survival analysis, that is
    easy to extend and adapt to your specific setting. Some commonly used
    methods for classification, regression and survival analysis are included.

Christofer Backlin

emil

Evaluation of Modeling without Information Leakage

emil.predict.randomForest function

<ul><li><code>pred</code>: Vector of predicted response.</li></ul>

emil.predict.randomForest: Prediction using random forest.

Description

Usage

Arguments

Value

itemize

See Also