Skip to main content

Table 3 Description of the UCI benchmark data

From: Random generalized linear model: a highly accurate and interpretable ensemble predictor

Data set

Samples

Features

BreastCancer

699

9

HouseVotes84

435

16

Ionosphere

351

34

diabetes

768

8

Sonar

208

60

ringnorm

300

20

threenorm

300

20

twonorm

300

20

Glass

214

9

Satellite

6435

36

Vehicle

846

18

Vowel

990

10

  1. Sample size and number of features for the 12 UCI machine learning benchmark data sets.
Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us