twonorm
OpenML dataset with id 1507
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/1592299/twonorm.arff
Upload date: 25 May 2015
Dataset Characteristics
Number of classes: 2
Number of features: 21 (numeric: 20, symbolic: 1 and in total binary: 1 )
Number of instances: 7,400
Number of instances with missing values: 0
Number of missing values: 0
Author: Michael Revow Source: http://www.cs.toronto.edu/~delve/data/twonorm/desc.html Please cite:
- Twonorm dataset
This is an implementation of Leo Breiman's twonorm example[1]. It is a 20 dimensional, 2 class classification example. Each class is drawn from a multivariate normal distribution with unit variance. Class 1 has mean (a,a,..a) while Class 2 has mean (-a,-a,..-a). Where a = 2/sqrt(20). Breiman reports the theoretical expected misclassification rate as 2.3%. He used 300 training examples with CART and found an error of 22.1%.
This page was built for dataset: twonorm
