Data
fourclass

fourclass

active Sparse_ARFF Publicly available Visibility: public Uploaded 30-04-2015 by Farooq Zuberi
0 likes downloaded by 2 people , 3 total downloads 0 issues 0 downvotes
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
Author: Tin Kam Ho and Eugene M. Kleinberg. Source: [original](http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html) - Date unknown Please cite: Tin Kam Ho and Eugene M. Kleinberg. Building projectable classifiers of arbitrary complexity. In Proceedings of the 13th International Conference on Pattern Recognition, pages 880-885, Vienna, Austria, August 1996. #Dataset from the LIBSVM data repository. Preprocessing: transform to two-class

3 features

class (target)numeric2 unique values
0 missing
att_1numeric176 unique values
0 missing
att_2numeric169 unique values
0 missing

18 properties

862
Number of instances (rows) of the dataset.
3
Number of attributes (columns) of the dataset.
-1
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
3
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
-1
The predictive accuracy obtained by always predicting the majority class.
100
Percentage of numeric attributes.
0
Number of attributes divided by the number of instances.
0
Percentage of nominal attributes.
-1
Percentage of instances belonging to the most frequent class.
-1
Number of instances belonging to the most frequent class.
-1
Number of instances belonging to the least frequent class.
0
Number of binary attributes.

4 tasks

0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
Define a new task