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svmguide1

svmguide1

active Sparse_ARFF Publicly available Visibility: public Uploaded 27-04-2015 by Farooq Zuberi
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Author: Chih-Wei Hsu","Chih-Chung Chang","and Chih-Jen Lin. libSVM","AAD group Source: [original](http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html) - Date unknown Please cite: Chih-Wei Hsu, Chih-Chung Chang, and Chih-Jen Lin. A practical guide to support vector classification. Technical report, Department of Computer Science, National Taiwan University, 2003. #Dataset from the LIBSVM data repository Preprocessing: Original data: an astroparticle application from Jan Conrad of Uppsala University, Sweden.

5 features

class (target)numeric2 unique values
0 missing
att_1numeric6749 unique values
0 missing
att_2numeric6887 unique values
0 missing
att_3numeric6868 unique values
0 missing
att_4numeric6426 unique values
0 missing

62 properties

7089
Number of instances (rows) of the dataset.
5
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.
5
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of binary attributes.
31.58
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
-1.93
Minimum kurtosis among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
9.26
Maximum kurtosis among attributes of the numeric type.
0.07
Minimum of means among attributes of the numeric type.
0
Percentage of missing values.
5.4
Third quartile of kurtosis among attributes of the numeric type.
111.83
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
100
Percentage of numeric attributes.
107.27
Third quartile of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
The minimal number of distinct values among attributes of the nominal type.
0
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
The maximum number of distinct values among attributes of the nominal type.
-0.52
Minimum skewness among attributes of the numeric type.
First quartile of entropy among attributes.
1.95
Third quartile of skewness among attributes of the numeric type.
2.54
Maximum skewness among attributes of the numeric type.
0.25
Minimum standard deviation of attributes of the numeric type.
-1.43
First quartile of kurtosis among attributes of the numeric type.
67.31
Third quartile of standard deviation of attributes of the numeric type.
94.41
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
0.32
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
Average entropy of the attributes.
Number of instances belonging to the least frequent class.
First quartile of mutual information between the nominal attributes and the target attribute.
1.45
Mean kurtosis among attributes of the numeric type.
0
Number of binary attributes.
-0.39
First quartile of skewness among attributes of the numeric type.
49.02
Mean of means among attributes of the numeric type.
0.37
First quartile of standard deviation of attributes of the numeric type.
1
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
Second quartile (Median) of entropy among attributes.
Entropy of the target attribute values.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
-0.71
Second quartile (Median) of kurtosis among attributes of the numeric type.
0
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
29.91
Second quartile (Median) of means among attributes of the numeric type.
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
0.61
Mean skewness among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Percentage of instances belonging to the most frequent class.
33.39
Mean standard deviation of attributes of the numeric type.
-0.08
Second quartile (Median) of skewness among attributes of the numeric type.
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.

4 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
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