Meta-data
About
Meta-Data was used in order to give advice about which classification method is appropriate for a particular dataset (taken from results of Statlog project).
This DataSet is about the results of Statlog project. The project performed a comparative study between Statistical, Neural and Symbolic learning algorithms.
Project StatLog (Esprit Project 5170) was concerned with comparative studies of different machine learning, neural and statistical classification algorithms. About 20 different algorithms were evaluated on more than 20 different datasets. The tests carried out under project produced many interesting results.
The results of these tests are comprehensively described in a book (D.Michie et.al, 1994).
Subject Area
Other
Instances
528
Features
22
Data Types
Multivariate
Tasks
Classification
Feature Types
Categorical, Integer, Continuous
Features
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Introductory Paper
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