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MindCave2

MindCave2

active ARFF Publicly available Visibility: public Uploaded 20-05-2015 by Hans Bauer
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Author: Source: Unknown - Date unknown Please cite: Mind Cave 2

40 features

def (target)nominal2 unique values
0 missing
anumeric35 unique values
0 missing
bnumeric30 unique values
0 missing
cnumeric13 unique values
0 missing
dnumeric16 unique values
0 missing
enumeric40 unique values
0 missing
fnumeric37 unique values
0 missing
gnumeric27 unique values
0 missing
hnumeric43 unique values
0 missing
inumeric22 unique values
0 missing
jnumeric25 unique values
0 missing
knumeric15 unique values
0 missing
lnumeric38 unique values
0 missing
mnumeric57 unique values
0 missing
nnumeric17 unique values
0 missing
onumeric30 unique values
0 missing
pnumeric65 unique values
0 missing
rnumeric6 unique values
0 missing
snumeric25 unique values
0 missing
tnumeric30 unique values
0 missing
unumeric123 unique values
0 missing
vnumeric118 unique values
0 missing
znumeric125 unique values
0 missing
aanumeric69 unique values
0 missing
abnumeric105 unique values
0 missing
acnumeric25 unique values
0 missing
adnumeric125 unique values
0 missing
aenumeric123 unique values
0 missing
afnumeric36 unique values
0 missing
agnumeric27 unique values
0 missing
ahnumeric36 unique values
0 missing
ainumeric52 unique values
0 missing
ajnumeric31 unique values
0 missing
aknumeric90 unique values
0 missing
alnumeric91 unique values
0 missing
amnumeric52 unique values
0 missing
annumeric30 unique values
0 missing
aonumeric79 unique values
0 missing
apnumeric86 unique values
0 missing
arnumeric69 unique values
0 missing

19 properties

125
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.
0
Percentage of instances having missing values.
0
Percentage of missing values.
0.56
Average class difference between consecutive instances.
97.5
Percentage of numeric attributes.
0.32
Number of attributes divided by the number of instances.
2.5
Percentage of nominal attributes.
64.8
Percentage of instances belonging to the most frequent class.
81
Number of instances belonging to the most frequent class.
35.2
Percentage of instances belonging to the least frequent class.
44
Number of instances belonging to the least frequent class.
1
Number of binary attributes.

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