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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

19 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.
0.72
Average class difference between consecutive instances.
0
Percentage of missing values.
0.21
Number of attributes divided by the number of instances.
97.5
Percentage of numeric attributes.
81.44
Percentage of instances belonging to the most frequent class.
2.5
Percentage of nominal attributes.
158
Number of instances belonging to the most frequent class.
18.56
Percentage of instances belonging to the least frequent class.
36
Number of instances belonging to the least frequent class.
1
Number of binary attributes.
2.5
Percentage of binary attributes.
0
Percentage of instances having missing values.

3 tasks

0 runs - estimation_procedure: 33% Holdout set - target_feature: def
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