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KnuggetChase3

KnuggetChase3

active ARFF Publicly available Visibility: public Uploaded 20-05-2015 by Hans Bauer
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Author: Hans Bauer Jesus","Deter Bergman Source: Unknown - Date unknown Please cite: knugget chase 3

40 features

def (target)nominal2 unique values
0 missing
anumeric25 unique values
0 missing
bnumeric33 unique values
0 missing
cnumeric33 unique values
0 missing
dnumeric6 unique values
0 missing
enumeric20 unique values
0 missing
fnumeric28 unique values
0 missing
gnumeric23 unique values
0 missing
hnumeric30 unique values
0 missing
inumeric15 unique values
0 missing
jnumeric21 unique values
0 missing
knumeric21 unique values
0 missing
lnumeric27 unique values
0 missing
mnumeric82 unique values
0 missing
nnumeric13 unique values
0 missing
onumeric26 unique values
0 missing
pnumeric69 unique values
0 missing
rnumeric4 unique values
0 missing
snumeric21 unique values
0 missing
tnumeric29 unique values
0 missing
unumeric188 unique values
0 missing
vnumeric168 unique values
0 missing
znumeric189 unique values
0 missing
aanumeric74 unique values
0 missing
abnumeric139 unique values
0 missing
acnumeric19 unique values
0 missing
adnumeric189 unique values
0 missing
aenumeric186 unique values
0 missing
afnumeric37 unique values
0 missing
agnumeric17 unique values
0 missing
ahnumeric28 unique values
0 missing
ainumeric73 unique values
0 missing
ajnumeric32 unique values
0 missing
aknumeric104 unique values
0 missing
alnumeric124 unique values
0 missing
amnumeric65 unique values
0 missing
annumeric24 unique values
0 missing
aonumeric82 unique values
0 missing
apnumeric76 unique values
0 missing
arnumeric71 unique values
0 missing

62 properties

194
Number of instances (rows) of the dataset.
40
Number of attributes (columns) of the dataset.
2
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.
39
Number of numeric attributes.
1
Number of nominal attributes.
2.5
Percentage of binary attributes.
6.58
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
-0.57
Minimum kurtosis among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
62.03
Maximum kurtosis among attributes of the numeric type.
0.07
Minimum of means among attributes of the numeric type.
0
Percentage of missing values.
10.9
Third quartile of kurtosis among attributes of the numeric type.
30965.46
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
97.5
Percentage of numeric attributes.
33.69
Third quartile of means 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.
2.5
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
2
The maximum number of distinct values among attributes of the nominal type.
-1.3
Minimum skewness among attributes of the numeric type.
First quartile of entropy among attributes.
2.76
Third quartile of skewness among attributes of the numeric type.
6.87
Maximum skewness among attributes of the numeric type.
0.04
Minimum standard deviation of attributes of the numeric type.
2.9
First quartile of kurtosis among attributes of the numeric type.
34.19
Third quartile of standard deviation of attributes of the numeric type.
64279.04
Maximum standard deviation of attributes of the numeric type.
18.56
Percentage of instances belonging to the least frequent class.
0.95
First quartile of means among attributes of the numeric type.
0
Standard deviation of the number of distinct values among attributes of the nominal type.
Average entropy of the attributes.
36
Number of instances belonging to the least frequent class.
First quartile of mutual information between the nominal attributes and the target attribute.
9.24
Mean kurtosis among attributes of the numeric type.
1
Number of binary attributes.
1.53
First quartile of skewness among attributes of the numeric type.
886.33
Mean of means among attributes of the numeric type.
0.85
First quartile of standard deviation of attributes of the numeric type.
0.72
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
Second quartile (Median) of entropy among attributes.
0.69
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.
6.23
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.21
Number of attributes divided by the number of instances.
2
Average number of distinct values among the attributes of the nominal type.
6.63
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.
2.27
Mean skewness among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
81.44
Percentage of instances belonging to the most frequent class.
1796.88
Mean standard deviation of attributes of the numeric type.
2.23
Second quartile (Median) of skewness among attributes of the numeric type.
158
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.

3 tasks

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