Data
ijcnn

ijcnn

active Sparse_ARFF Publicly available Visibility: public Uploaded 02-06-2015 by Farooq Zuberi
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Author: Danil Prokhorov. libSVM","AAD group Source: [original](http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html) - Date unknown Please cite: Danil Prokhorov. IJCNN 2001 neural network competition. Slide presentation in IJCNN'01, Ford Research Laboratory, 2001. http://www.geocities.com/ijcnn/nnc_ijcnn01.pdf . #Dataset from the LIBSVM data repository. Preprocessing: We use winner's transformation

23 features

class (target)numeric2 unique values
0 missing
att_1numeric2 unique values
0 missing
att_2numeric2 unique values
0 missing
att_3numeric2 unique values
0 missing
att_4numeric2 unique values
0 missing
att_5numeric2 unique values
0 missing
att_6numeric2 unique values
0 missing
att_7numeric2 unique values
0 missing
att_8numeric2 unique values
0 missing
att_9numeric2 unique values
0 missing
att_10numeric2 unique values
0 missing
att_11numeric106419 unique values
0 missing
att_12numeric3875 unique values
0 missing
att_13numeric112786 unique values
0 missing
att_14numeric112781 unique values
0 missing
att_15numeric112778 unique values
0 missing
att_16numeric112770 unique values
0 missing
att_17numeric112761 unique values
0 missing
att_18numeric112756 unique values
0 missing
att_19numeric112751 unique values
0 missing
att_20numeric112745 unique values
0 missing
att_21numeric112742 unique values
0 missing
att_22numeric112741 unique values
0 missing

62 properties

191681
Number of instances (rows) of the dataset.
23
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.
23
Number of numeric attributes.
0
Number of nominal attributes.
0.36
First quartile of skewness among attributes of the numeric type.
0.01
Mean of means among attributes of the numeric type.
0.16
First quartile of standard deviation of attributes of the numeric type.
0.64
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.
5.11
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.
0
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.
1.5
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.
0.25
Mean standard deviation of attributes of the numeric type.
0.9
Second quartile (Median) of skewness among attributes of the numeric type.
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
0
Percentage of binary attributes.
0.3
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
-0.76
Minimum kurtosis among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
6.56
Maximum kurtosis among attributes of the numeric type.
-0.81
Minimum of means among attributes of the numeric type.
0
Percentage of missing values.
6.55
Third quartile of kurtosis among attributes of the numeric type.
0.33
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.
0.1
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.
0.36
Minimum skewness among attributes of the numeric type.
First quartile of entropy among attributes.
2.67
Third quartile of skewness among attributes of the numeric type.
2.74
Maximum skewness among attributes of the numeric type.
0.16
Minimum standard deviation of attributes of the numeric type.
5.11
First quartile of kurtosis among attributes of the numeric type.
0.3
Third quartile of standard deviation of attributes of the numeric type.
0.59
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
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.
0
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
5.25
Mean kurtosis among attributes of the numeric type.

6 tasks

0 runs - estimation_procedure: 33% Holdout set - target_feature: class
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
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
Define a new task