ghraw

ghrel

Misclassification error and various other performance measures on the
data set a domain of 33 data sets with information if a specific
grasshopper species is available in a territory or not. The candidate
algorithms are <code>lda</code>, <code>rf</code>, <code>knn</code>, <code>rpart</code>, <code>svm</code> and
<code>naiveBayes</code>.

<code>ghrel</code> are precomputed relations.

Used in <code>demo("lsbenchplot-gh")</code>.

datasets

The benchmark package provides a toolbox for setup,
        execution and analysis of benchmark experiments. Main focus is
        the analysis of data accumulating during the execution -- one
        primary objective is the statistical correct computation of the
        candidate algorithms' order.

Manuel A. Eugster

benchmark

Benchmark Experiments Toolbox

ghraw function

A data frame with 99000 observations and 5 variables
  (<code>alg</code>, <code>samp</code>, <code>perf</code>, <code>value</code>, <code>ds</code>).

ghraw: Grasshopper domain benchmark experiment results

Description

Usage

Arguments

format