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hmeq_p

hmeq_p

active ARFF Public Domain (CC0) Visibility: public Uploaded 27-08-2019 by Yonglin Zhu
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  • Computer Systems Machine Learning
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hmeq_p,BAD,binary

15 features

BADnumeric2 unique values
0 missing
LOANnumeric540 unique values
0 missing
MORTDUEnumeric5053 unique values
518 missing
VALUEnumeric5381 unique values
112 missing
REASONnominal2 unique values
252 missing
JOBnominal6 unique values
279 missing
YOJnumeric99 unique values
515 missing
DEROGnumeric11 unique values
708 missing
DELINQnumeric14 unique values
580 missing
CLAGEnumeric5314 unique values
308 missing
NINQnumeric16 unique values
510 missing
CLNOnumeric62 unique values
222 missing
DEBTINCnumeric4693 unique values
1267 missing
_dmIndex_numeric5960 unique values
0 missing
_PartInd_numeric3 unique values
0 missing

62 properties

5960
Number of instances (rows) of the dataset.
15
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
5271
Number of missing values in the dataset.
2596
Number of instances with at least one value missing.
13
Number of numeric attributes.
2
Number of nominal 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.
Second quartile (Median) of entropy among attributes.
0
Number of attributes divided by the number of instances.
4
Average number of distinct values among the attributes of the nominal type.
6.93
Second quartile (Median) of kurtosis 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.
2.01
Mean skewness among attributes of the numeric type.
21.3
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
8837.57
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
1.81
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-1.2
Minimum kurtosis among attributes of the numeric type.
6.67
Percentage of binary attributes.
8.6
Second quartile (Median) of standard deviation of attributes of the numeric type.
50.5
Maximum kurtosis among attributes of the numeric type.
0.2
Minimum of means among attributes of the numeric type.
43.56
Percentage of instances having missing values.
Third quartile of entropy among attributes.
101776.05
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
5.9
Percentage of missing values.
23.96
Third quartile of kurtosis among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
2
The minimal number of distinct values among attributes of the nominal type.
86.67
Percentage of numeric attributes.
10794.23
Third quartile of means among attributes of the numeric type.
6
The maximum number of distinct values among attributes of the nominal type.
-0.14
Minimum skewness among attributes of the numeric type.
13.33
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
5.32
Maximum skewness among attributes of the numeric type.
0.4
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
2.95
Third quartile of skewness among attributes of the numeric type.
57385.78
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
0.32
First quartile of kurtosis among attributes of the numeric type.
6464.06
Third quartile of standard deviation of attributes of the numeric type.
Average entropy of the attributes.
Number of instances belonging to the least frequent class.
0.77
First quartile of means among attributes of the numeric type.
2.83
Standard deviation of the number of distinct values among attributes of the nominal type.
12.75
Mean kurtosis among attributes of the numeric type.
1
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
15182.48
Mean of means among attributes of the numeric type.
0.88
First quartile of skewness among attributes of the numeric type.
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
0.99
First quartile of standard deviation of attributes of the numeric type.

8 tasks

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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