data_test: simulated data

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

Description

This data file consists of 300 objects with 10 features. The features x1-x5 are informative and define the cluster structure of the dataset. The clusters are generated in the two-dimensional space x1-x2. The values of the features x3-x5 are identically generated as for x2. Features values x1-x5 are normally distributed values with the same standard deviation and different mean values. Features x6-x10 are random variables uniformly distributed in the interval [0, 1] and present the uninformative features.

Usage

data_test

Format

A data.frame containing 300 observations of 11 variables and class with three labels.

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

leukemia72, datasetF6, leukemia72_2, leukemia_miss

Examples

# load the dataset
data(data_test)

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