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appendicitis

appendicitis

active ARFF Publicly available Visibility: public Uploaded 20-05-2015 by Rafael Gomes Mantovani
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Author: S. M. Weiss,C. A. Kulikowski Source: KEEL Please cite: A copy of the data set proposed in: S. M. Weiss, and C. A. Kulikowski, Computer Systems That Learn (1991).

8 features

V1numeric74 unique values
0 missing
V2numeric41 unique values
0 missing
V3numeric95 unique values
0 missing
V4numeric39 unique values
0 missing
V5numeric89 unique values
0 missing
V6numeric93 unique values
0 missing
V7numeric99 unique values
0 missing
Classnominal2 unique values
0 missing

19 properties

106
Number of instances (rows) of the dataset.
8
Number of attributes (columns) of the dataset.
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.
7
Number of numeric attributes.
1
Number of nominal attributes.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
1
Number of binary attributes.
12.5
Percentage of binary attributes.
0
Percentage of instances having missing values.
Average class difference between consecutive instances.
0
Percentage of missing values.
0.08
Number of attributes divided by the number of instances.
87.5
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
12.5
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.

13 tasks

30 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Class
0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: Class
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
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