EstimationResults-class: Class "EstimationResults"

In performanceEstimation: An Infra-Structure for Performance Estimation of Predictive Models

Description

This is the class of the objects storing the results of estimating the performance of a workflow on a predictive task using some estimation method.

Objects from the Class

Objects can be created by calls of the form EstimationResults(...) providing the values for the class slots. The objects contain information on the predictive task, the workflow, the estimation task, the metric scores and optionally also information on results obtained at each iteration of the estimation process.

Slots

task:

Object of class PredTask

workflow:

Object of class Workflow

estTask:

Object belonging to class EstimationTask

iterationsScores:

Object of class matrix

iterationsInfo:

Object of class list

Methods

plot

signature(x = "EstimationResults", y = "missing"): method used to visualize the results of the estimation process.

show

signature(object = "EstimationResults"): shows the contents of an object in a proper way

summary

signature(object = "EstimationResults"): method used to obtain a summary of the results of the estimation process.

Author(s)

Luis Torgo [e-mail]

References

Torgo, L. (2014) An Infra-Structure for Performance Estimation and Experimental Comparison of Predictive Models in R. arXiv:1412.0436 [cs.MS] http://arxiv.org/abs/1412.0436

See Also

EstimationMethod, EstimationTask, PredTask, Workflow, performanceEstimation

Examples

showClass("EstimationResults")

## Not run: 
library(e1071)
data(swiss)

## Estimating the MAE and NMSE of an SVM on the swiss task
eval.res <- cvEstimates(
                 Workflow(learner="svm",learner.pars=list(cost=10,gamma=0.1)),
                 PredTask(Infant.Mortality ~ .,swiss),
                 EstimationTask(metrics=c("mae","nmse"),method=CV(nReps=2))
                       )

## Check a summary of the results
summary(eval.res)


## End(Not run)

performanceEstimation documentation built on May 2, 2019, 6:01 a.m.