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MegaWatt1

MegaWatt1

active ARFF Publicly available Visibility: public Uploaded 19-05-2015 by Hans Bauer
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Author: Hans Bauer Jesus","Deter Bergman Source: Unknown - Date unknown Please cite: Mega watt

38 features

def (target)nominal2 unique values
0 missing
anumeric27 unique values
0 missing
bnumeric31 unique values
0 missing
cnumeric24 unique values
0 missing
dnumeric5 unique values
0 missing
enumeric25 unique values
0 missing
fnumeric30 unique values
0 missing
gnumeric24 unique values
0 missing
hnumeric45 unique values
0 missing
inumeric17 unique values
0 missing
jnumeric28 unique values
0 missing
knumeric20 unique values
0 missing
lnumeric36 unique values
0 missing
mnumeric69 unique values
0 missing
nnumeric16 unique values
0 missing
onumeric2 unique values
0 missing
pnumeric69 unique values
0 missing
rnumeric6 unique values
0 missing
snumeric248 unique values
0 missing
tnumeric213 unique values
0 missing
unumeric250 unique values
0 missing
vnumeric60 unique values
0 missing
znumeric146 unique values
0 missing
aanumeric30 unique values
0 missing
abnumeric250 unique values
0 missing
acnumeric238 unique values
0 missing
adnumeric42 unique values
0 missing
aenumeric20 unique values
0 missing
afnumeric31 unique values
0 missing
agnumeric57 unique values
0 missing
ahnumeric37 unique values
0 missing
ainumeric101 unique values
0 missing
ajnumeric113 unique values
0 missing
aknumeric62 unique values
0 missing
alnumeric30 unique values
0 missing
amnumeric89 unique values
0 missing
annumeric131 unique values
0 missing
aonumeric69 unique values
0 missing

19 properties

253
Number of instances (rows) of the dataset.
38
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.
37
Number of numeric attributes.
1
Number of nominal attributes.
2.63
Percentage of binary attributes.
0
Percentage of instances having missing values.
0.83
Average class difference between consecutive instances.
0
Percentage of missing values.
0.15
Number of attributes divided by the number of instances.
97.37
Percentage of numeric attributes.
89.33
Percentage of instances belonging to the most frequent class.
2.63
Percentage of nominal attributes.
226
Number of instances belonging to the most frequent class.
10.67
Percentage of instances belonging to the least frequent class.
27
Number of instances belonging to the least frequent class.
1
Number of binary attributes.

6 tasks

108 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: matthews_correlation_coefficient - target_feature: def
108 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: def
0 runs - estimation_procedure: 33% Holdout set - target_feature: def
0 runs - estimation_procedure: Holdout unlabeled - evaluation_measure: precision - target_feature: def
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