Data

cleveland-nominal

active
ARFF
public Visibility: public Uploaded 06-04-2017 by Pieter Gijsbers

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cleveland-nominal-pmlb

First quartile of standard deviation of attributes of the numeric type.

0.13

Average mutual information between the nominal attributes and the target attribute.

7.73

An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.

Second quartile (Median) of kurtosis among attributes of the numeric type.

3.13

Average number of distinct values among the attributes of the nominal type.

14.39

Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.

0.14

Second quartile (Median) of mutual information between the nominal attributes and the target attribute.

Second quartile (Median) of skewness among attributes of the numeric type.

Second quartile (Median) of standard deviation of attributes of the numeric type.

0.02

Minimal mutual information between the nominal attributes and the target attribute.

0.25

Maximum mutual information between the nominal attributes and the target attribute.

2

The minimal number of distinct values among attributes of the nominal type.

0.23

Third quartile of mutual information between the nominal attributes and the target attribute.

5

The maximum number of distinct values among attributes of the nominal type.

Third quartile of standard deviation of attributes of the numeric type.

1.13

Standard deviation of the number of distinct values among attributes of the nominal type.

0.05

First quartile of mutual information between the nominal attributes and the target attribute.