madelon | R Documentation |

An artificial dataset containing data points grouped in 32 clusters placed on the vertices of a five dimensional hypercube and randomly labeled 0/1.

madelon

A list of two elements:

- data
2000 by 500 matrix of 2000 objects with 500 features

- decision
vector of 2000 decisions (labels 0/1)

- IG.2D
example 2D IG computed using

`ComputeMaxInfoGains`

The five dimensions constitute 5 informative features. 15 linear combinations of those features are added to form a set of 20 (redundant) informative features. There are 480 distractor features called 'probes' having no predictive power.

Included is the original training set with label -1 changed to 0.

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