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analcatdata_runshoes

analcatdata_runshoes

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Author: Source: Unknown - Date unknown Please cite: analcatdata A collection of data sets used in the book "Analyzing Categorical Data," by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission consists of a zip file containing two versions of each of 84 data sets, plus this README file. Each data set is given in comma-delimited ASCII (.csv) form, and Microsoft Excel (.xls) form. NOTICE: These data sets may be used freely for scientific, educational and/or noncommercial purposes, provided suitable acknowledgment is given (by citing the above-named reference). Further details concerning the book, including information on statistical software (including sample S-PLUS/R and SAS code), are available at the web site http://www.stern.nyu.edu/~jsimonof/AnalCatData Information about the dataset CLASSTYPE: numeric CLASSINDEX: last Note: Quotes, Single-Quotes and Backslashes were removed, Blanks replaced with Underscores

11 features

Shoes (target)numeric7 unique values
0 missing
Malenominal2 unique values
0 missing
Marriednominal2 unique values
0 missing
Runs.per.weeknumeric6 unique values
0 missing
Agenumeric7 unique values
0 missing
Incomenumeric6 unique values
14 missing
Collegenominal2 unique values
0 missing
Distancenominal2 unique values
0 missing
Treadmillnominal2 unique values
0 missing
Miles.per.weeknumeric11 unique values
0 missing
Type.of.runningnominal5 unique values
0 missing

19 properties

60
Number of instances (rows) of the dataset.
11
Number of attributes (columns) of the dataset.
0
Number of distinct values of the target attribute (if it is nominal).
14
Number of missing values in the dataset.
14
Number of instances with at least one value missing.
5
Number of numeric attributes.
6
Number of nominal attributes.
45.45
Percentage of binary attributes.
23.33
Percentage of instances having missing values.
-0.39
Average class difference between consecutive instances.
2.12
Percentage of missing values.
0.18
Number of attributes divided by the number of instances.
45.45
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
54.55
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.
5
Number of binary attributes.

13 tasks

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