performanceEstimation (version 1.1.0)

getScores: Obtaining the metric scores on the different iterations for a workflow / task combination

Description

With this function we can obtain the different metric scores obtained by a given workflow on a given task, in the different iterations of a performance estimation experiment.

Usage

getScores(results, workflow, task)

Arguments

results

A ComparisonResults object

workflow

A string with the ID of a workflow

task

A string with the ID of a predictive task

Value

A matrix with as many rows as there are iterations and as many columns as there are metrics being estimated in the experiment

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

taskNames,workflowNames,metricNames,estimationSummary

Examples

## Not run: 
# ## Estimating MSE for 3 variants of both
# ## regression trees and SVMs, on  two data sets, using one repetition
# ## of 10-fold CV
# library(e1071)
# library(DMwR)
# data(swiss)
# data(mtcars)
# 
# ## running the estimation experiment
# res <- performanceEstimation(
#   c(PredTask(Infant.Mortality ~ .,swiss),PredTask(mpg ~ ., mtcars)),
#   c(workflowVariants(learner="svm",
#                      learner.pars=list(cost=c(1,10),gamma=c(0.01,0.5))),
#     workflowVariants(learner="rpartXse",
#                      learner.pars=list(se=c(0,0.5,1)))
#   ),
#   EstimationTask("mse")
#   )
# 
# ## Get the iterations scores of svm.v2 on swiss
# getScores(res,"svm.v2","swiss.Infant.Mortality")
# 
# ## End(Not run)