Data
hip

hip

active ARFF Publicly available Visibility: public Uploaded 29-09-2014 by Joaquin Vanschoren
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Author: cc@maths.bath.ac.uk Source: [StatLib](http://lib.stat.cmu.edu/datasets/) - Date unknown Please cite: This is the hip measurement data from Table B.13 in Chatfield's Problem Solving (1995, 2nd edn, Chapman and Hall). It is given in 8 columns. First 4 columns are for Control Group. Last 4 columns are for Treatment group (Note there is no pairing. Patient 1 in Control Group is NOT patient 1 in Treatment Group).

8 features

control_1numeric15 unique values
30 missing
control_2numeric15 unique values
30 missing
control_3numeric16 unique values
30 missing
control_4numeric16 unique values
30 missing
treatment_1numeric27 unique values
0 missing
treatment_2numeric24 unique values
0 missing
treatment_3numeric25 unique values
0 missing
treatment_4numeric29 unique values
0 missing

19 properties

54
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).
120
Number of missing values in the dataset.
30
Number of instances with at least one value missing.
8
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of binary attributes.
55.56
Percentage of instances having missing values.
27.78
Percentage of missing values.
Average class difference between consecutive instances.
100
Percentage of numeric attributes.
0.15
Number of attributes divided by the number of instances.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
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.
0
Number of binary attributes.

11 tasks

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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