Data
analcatdata_chlamydia

analcatdata_chlamydia

active ARFF Publicly available Visibility: public Uploaded 29-09-2014 by Joaquin Vanschoren
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Author: Jeffrey S. Simonoff Source: [StatLib](http://lib.stat.cmu.edu/datasets/) - 2003 Please cite: Jeffrey S. Simonoff. Analyzing Categorical Data. Springer-Verlag, New York, 2003 One of the data sets used in the book "Analyzing Categorical Data" by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. Further details concerning the book, including information on statistical software, are available at the [web site](http://people.stern.nyu.edu/jsimonof/AnalCatData/).

4 features

Count (target)numeric86 unique values
0 missing
Agenominal10 unique values
0 missing
Gendernominal2 unique values
0 missing
Racenominal5 unique values
0 missing

19 properties

100
Number of instances (rows) of the dataset.
4
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.
1
Number of numeric attributes.
3
Number of nominal attributes.
25
Percentage of binary attributes.
0
Percentage of instances having missing values.
-3132.79
Average class difference between consecutive instances.
0
Percentage of missing values.
0.04
Number of attributes divided by the number of instances.
25
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
75
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.
1
Number of binary attributes.

13 tasks

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