Comments and questions to: delve@cs.toronto.edu
This dataset was obtained from the UCI repository of machine learning databases. The task in this dataset is to guess the letter category (ie one out of 26 upper case printed letters) based on a 16-dimensional input vector. The inputs are simple global features computed from the images. More information is available in the original documentation associated with this dataset
Origin: simulated
Usage: development
Number of attributes: 17
Number of cases: 20,000
Number of prototasks: 1
Number of methods run on this dataset: 8
Download letter.tar.gz
Converted to Delve format by: Michael Revow
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Last Updated 15 November 1996 Comments and questions to: delve@cs.toronto.edu |
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