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splice

active Sparse_ARFF Publicly available Visibility: public Uploaded 02-06-2015 by Farooq Zuberi
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Author: Delve Datasets libSVM","AAD group Source: [original](http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html) - Date unknown Please cite: #Dataset from the LIBSVM data repository. Preprocessing: scaled to [-1,1]

61 features

class (target)numeric2 unique values
0 missing
att_1numeric4 unique values
0 missing
att_2numeric4 unique values
0 missing
att_3numeric4 unique values
0 missing
att_4numeric4 unique values
0 missing
att_5numeric4 unique values
0 missing
att_6numeric4 unique values
0 missing
att_7numeric4 unique values
0 missing
att_8numeric4 unique values
0 missing
att_9numeric4 unique values
0 missing
att_10numeric4 unique values
0 missing
att_11numeric4 unique values
0 missing
att_12numeric4 unique values
0 missing
att_13numeric4 unique values
0 missing
att_14numeric4 unique values
0 missing
att_15numeric4 unique values
0 missing
att_16numeric4 unique values
0 missing
att_17numeric4 unique values
0 missing
att_18numeric4 unique values
0 missing
att_19numeric4 unique values
0 missing
att_20numeric4 unique values
0 missing
att_21numeric4 unique values
0 missing
att_22numeric4 unique values
0 missing
att_23numeric4 unique values
0 missing
att_24numeric4 unique values
0 missing
att_25numeric4 unique values
0 missing
att_26numeric4 unique values
0 missing
att_27numeric4 unique values
0 missing
att_28numeric4 unique values
0 missing
att_29numeric4 unique values
0 missing
att_30numeric4 unique values
0 missing
att_31numeric4 unique values
0 missing
att_32numeric4 unique values
0 missing
att_33numeric4 unique values
0 missing
att_34numeric4 unique values
0 missing
att_35numeric4 unique values
0 missing
att_36numeric4 unique values
0 missing
att_37numeric4 unique values
0 missing
att_38numeric4 unique values
0 missing
att_39numeric4 unique values
0 missing
att_40numeric4 unique values
0 missing
att_41numeric4 unique values
0 missing
att_42numeric4 unique values
0 missing
att_43numeric4 unique values
0 missing
att_44numeric4 unique values
0 missing
att_45numeric4 unique values
0 missing
att_46numeric4 unique values
0 missing
att_47numeric4 unique values
0 missing
att_48numeric4 unique values
0 missing
att_49numeric4 unique values
0 missing
att_50numeric4 unique values
0 missing
att_51numeric4 unique values
0 missing
att_52numeric4 unique values
0 missing
att_53numeric4 unique values
0 missing
att_54numeric4 unique values
0 missing
att_55numeric4 unique values
0 missing
att_56numeric4 unique values
0 missing
att_57numeric4 unique values
0 missing
att_58numeric4 unique values
0 missing
att_59numeric4 unique values
0 missing
att_60numeric4 unique values
0 missing

62 properties

3175
Number of instances (rows) of the dataset.
61
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.
61
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of binary attributes.
1.09
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
-2
Minimum kurtosis among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
-0.2
Maximum kurtosis among attributes of the numeric type.
0.04
Minimum of means among attributes of the numeric type.
0
Percentage of missing values.
-1.25
Third quartile of kurtosis among attributes of the numeric type.
2.89
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.
2.58
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.
-0.49
Minimum skewness among attributes of the numeric type.
First quartile of entropy among attributes.
0.04
Third quartile of skewness among attributes of the numeric type.
0.68
Maximum skewness among attributes of the numeric type.
0.88
Minimum standard deviation of attributes of the numeric type.
-1.31
First quartile of kurtosis among attributes of the numeric type.
1.1
Third quartile of standard deviation of attributes of the numeric type.
1.17
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
2.48
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.
-1.26
Mean kurtosis among attributes of the numeric type.
0
Number of binary attributes.
-0.12
First quartile of skewness among attributes of the numeric type.
2.47
Mean of means among attributes of the numeric type.
1.08
First quartile of standard deviation of attributes of the numeric type.
-0.04
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.
-1.29
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.02
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
2.51
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.
-0.01
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.
1.09
Mean standard deviation of attributes of the numeric type.
-0.02
Second quartile (Median) of skewness among attributes of the numeric type.
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.

5 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
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
Define a new task