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PizzaCutter1

PizzaCutter1

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: Pizza cutter

38 features

def (target)nominal2 unique values
0 missing
anumeric47 unique values
0 missing
bnumeric55 unique values
0 missing
cnumeric23 unique values
0 missing
dnumeric22 unique values
0 missing
enumeric45 unique values
0 missing
fnumeric56 unique values
0 missing
gnumeric41 unique values
0 missing
hnumeric68 unique values
0 missing
inumeric34 unique values
0 missing
jnumeric40 unique values
0 missing
knumeric29 unique values
0 missing
lnumeric67 unique values
0 missing
mnumeric96 unique values
0 missing
nnumeric26 unique values
0 missing
onumeric51 unique values
0 missing
pnumeric102 unique values
0 missing
rnumeric7 unique values
0 missing
snumeric613 unique values
0 missing
tnumeric490 unique values
0 missing
unumeric648 unique values
0 missing
vnumeric110 unique values
0 missing
znumeric273 unique values
0 missing
aanumeric27 unique values
0 missing
abnumeric646 unique values
0 missing
acnumeric586 unique values
0 missing
adnumeric67 unique values
0 missing
aenumeric38 unique values
0 missing
afnumeric57 unique values
0 missing
agnumeric80 unique values
0 missing
ahnumeric65 unique values
0 missing
ainumeric180 unique values
0 missing
ajnumeric204 unique values
0 missing
aknumeric88 unique values
0 missing
alnumeric40 unique values
0 missing
amnumeric137 unique values
0 missing
annumeric226 unique values
0 missing
aonumeric101 unique values
0 missing

19 properties

661
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.
0.85
Average class difference between consecutive instances.
0
Percentage of missing values.
0.06
Number of attributes divided by the number of instances.
97.37
Percentage of numeric attributes.
92.13
Percentage of instances belonging to the most frequent class.
2.63
Percentage of nominal attributes.
609
Number of instances belonging to the most frequent class.
7.87
Percentage of instances belonging to the least frequent class.
52
Number of instances belonging to the least frequent class.
1
Number of binary attributes.

14 tasks

106 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: def
91 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: matthews_correlation_coefficient - target_feature: def
0 runs - estimation_procedure: 33% Holdout set - target_feature: def
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
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
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