toyml: Toy multi-label dataset.

In utiml: Utilities for Multi-Label Learning

Description

A toy multi-label dataset is a synthetic dataset generated by the tool http://sites.labic.icmc.usp.br/mldatagen/ using the Hyperspheres strategy. Its purpose is to be used for small tests and examples.

Usage

toyml

Format

A mldr object with 100 instances, 10 features and 5 labels:

att1

Relevant numeric attribute between (-1 and 1)

att2

Relevant numeric attribute between (-1 and 1)

att3

Relevant numeric attribute between (-1 and 1)

att4

Relevant numeric attribute between (-1 and 1)

att5

Relevant numeric attribute between (-1 and 1)

att6

Relevant numeric attribute between (-1 and 1)

att7

Relevant numeric attribute between (-1 and 1)

iatt8

Irrelevant numeric attribute between (-1 and 1)

iatt9

Irrelevant numeric attribute between (-1 and 1)

ratt10

Redundant numeric attribute between (-1 and 1)

y1

Label 'y1' - Frequency: 0.17

y2

Label 'y2' - Frequency: 0.78

y3

Label 'y3' - Frequency: 0.19

y4

Label 'y4' - Frequency: 0.69

y5

Label 'y5' - Frequency: 0.17

Details

General Information

• Cardinality: 2

• Density: 0.4

• Distinct multi-labels: 18

• Number of single labelsets: 5

• Max frequency: 23

Source

Generated by http://sites.labic.icmc.usp.br/mldatagen/ Configuration:

• Strategy: Hyperspheres

• Relevant Features: 7

• Irrelevant Features: 2

• Redundant Features: 1

• Number of Labels (q): 5

• Number of Instances: 100

• Noise (from 0 to 1): 0.05

• Maximum Radius/Half-Edge of the Hyperspheres/Hypercubes: 0.8

• Minimum Radius/Half-Edge of the Hyperspheres/Hypercubes: ((q/10)+1)/q

utiml documentation built on May 31, 2021, 9:09 a.m.