Data
BNG(primary-tumor)

BNG(primary-tumor)

active ARFF public domain Visibility: public Uploaded 12-11-2014 by Jan van Rijn
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18 features

class (target)nominal22 unique values
0 missing
agenominal3 unique values
0 missing
sexnominal2 unique values
0 missing
histologic-typenominal3 unique values
0 missing
degree-of-diffenominal3 unique values
0 missing
bonenominal2 unique values
0 missing
bone-marrownominal2 unique values
0 missing
lungnominal2 unique values
0 missing
pleuranominal2 unique values
0 missing
peritoneumnominal2 unique values
0 missing
livernominal2 unique values
0 missing
brainnominal2 unique values
0 missing
skinnominal2 unique values
0 missing
necknominal2 unique values
0 missing
supraclavicularnominal2 unique values
0 missing
axillarnominal2 unique values
0 missing
mediastinumnominal2 unique values
0 missing
abdominalnominal2 unique values
0 missing

19 properties

1000000
Number of instances (rows) of the dataset.
18
Number of attributes (columns) of the dataset.
22
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.
0
Number of numeric attributes.
18
Number of nominal attributes.
14
Number of binary attributes.
77.78
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
0.11
Average class difference between consecutive instances.
0
Percentage of numeric attributes.
0
Number of attributes divided by the number of instances.
100
Percentage of nominal attributes.
24.07
Percentage of instances belonging to the most frequent class.
240693
Number of instances belonging to the most frequent class.
0.14
Percentage of instances belonging to the least frequent class.
1417
Number of instances belonging to the least frequent class.

22 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: precision - target_feature: class
0 runs - estimation_procedure: 33% Holdout set - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
50 runs - estimation_procedure: Interleaved Test then Train - 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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