datasetF6: simulated data

In Biocomb: Feature Selection and Classification with the Embedded Validation Procedures for Biomedical Data Analysis

Description

This data file consists of six simulated predictors or variables with three class categories. For each class category the values are independently generated from the normal distribution with the mean µ1, µ2 and µ3 and the variances held at unity. The means are varied such that the problems range from near-separable problems, to near-random.

Usage

datasetF6

Format

A data.frame containing 300 observations of six variables.

Source

Landgrebe T, Duin R (2006) A simplified extension of the Area under the ROC to the multiclass domain. In: Proceedings 17th Annual Symposium of the Pattern Recognition Association of South Africa. PRASA, pp. 241–245.

See Also

data_test, leukemia72, leukemia72_2, leukemia_miss

Examples

# load the dataset
data(datasetF6)

Biocomb documentation built on May 1, 2019, 9:38 p.m.