Data
veteran

veteran

active ARFF Publicly available Visibility: public Uploaded 29-09-2014 by Joaquin Vanschoren
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Author: Source: Unknown - Date unknown Please cite: Veteran's Administration Lung Cancer Trial Taken from Kalbfleisch and Prentice, pages 223-224 Variables Treatment 1=standard, 2=test Celltype 1=squamous, 2=smallcell, 3=adeno, 4=large Survival in days Status 1=dead, 0=censored Karnofsky score Months from Diagnosis Age in years Prior therapy 0=no, 10=yes Information about the dataset CLASSTYPE: numeric CLASSINDEX: none specific

8 features

Survival (target)numeric101 unique values
0 missing
Treatmentnominal2 unique values
0 missing
Celltypenominal4 unique values
0 missing
Statusnominal2 unique values
0 missing
Karnofsky_scorenumeric12 unique values
0 missing
Months_from_Diagnosisnumeric28 unique values
0 missing
Agenumeric40 unique values
0 missing
Prior_therapynominal2 unique values
0 missing

19 properties

137
Number of instances (rows) of the dataset.
8
Number of attributes (columns) of the dataset.
0
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.
4
Number of numeric attributes.
4
Number of nominal attributes.
37.5
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
-124.54
Average class difference between consecutive instances.
50
Percentage of numeric attributes.
0.06
Number of attributes divided by the number of instances.
50
Percentage of nominal attributes.
Percentage of instances belonging to the most frequent class.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
3
Number of binary attributes.

13 tasks

2 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: Survival
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: Survival
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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