Data
zoo

zoo

active ARFF Publicly available Visibility: public Uploaded 06-04-2014 by Jan van Rijn
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Author: Richard S. Forsyth Source: [UCI](https://archive.ics.uci.edu/ml/datasets/Zoo) - 5/15/1990 Please cite: Zoo database A simple database containing 17 Boolean-valued attributes describing animals. The "type" attribute appears to be the class attribute. Notes: * I find it unusual that there are 2 instances of "frog" and one of "girl"! * feature 'animal' is an identifier (though not unique) and should be ignored when modeling

18 features

type (target)nominal7 unique values
0 missing
animal (ignore)nominal100 unique values
0 missing
hairnominal2 unique values
0 missing
feathersnominal2 unique values
0 missing
eggsnominal2 unique values
0 missing
milknominal2 unique values
0 missing
airbornenominal2 unique values
0 missing
aquaticnominal2 unique values
0 missing
predatornominal2 unique values
0 missing
toothednominal2 unique values
0 missing
backbonenominal2 unique values
0 missing
breathesnominal2 unique values
0 missing
venomousnominal2 unique values
0 missing
finsnominal2 unique values
0 missing
legsnumeric6 unique values
0 missing
tailnominal2 unique values
0 missing
domesticnominal2 unique values
0 missing
catsizenominal2 unique values
0 missing
Show all 18 features

19 properties

NumberOfInstances
101
Number of instances (rows) of the dataset.
NumberOfFeatures
18
Number of attributes (columns) of the dataset.
NumberOfClasses
7
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
1
Number of numeric attributes.
NumberOfSymbolicFeatures
17
Number of nominal attributes.
PercentageOfBinaryFeatures
83.33
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
AutoCorrelation
0.35
Average class difference between consecutive instances.
PercentageOfMissingValues
0
Percentage of missing values.
Dimensionality
0.18
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
5.56
Percentage of numeric attributes.
MajorityClassPercentage
40.59
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
94.44
Percentage of nominal attributes.
MajorityClassSize
41
Number of instances belonging to the most frequent class.
MinorityClassPercentage
3.96
Percentage of instances belonging to the least frequent class.
MinorityClassSize
4
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
15
Number of binary attributes.
Show all 19 properties

11 tasks

Supervised Classification on zoo
96 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: type
Supervised Classification on zoo
41 runs - estimation_procedure: 5 times 2-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: type
Supervised Classification on zoo
1 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: type
Supervised Classification on zoo
1 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: type
Supervised Classification on zoo
0 runs - estimation_procedure: Leave one out - evaluation_measure: predictive_accuracy - target_feature: type
Learning Curve on zoo
24 runs - estimation_procedure: 10 times 10-fold Learning Curve - evaluation_measure: predictive_accuracy - target_feature: type
Learning Curve on zoo
0 runs - estimation_procedure: 10-fold Learning Curve - evaluation_measure: predictive_accuracy - target_feature: type
Supervised Data Stream Classification on zoo
24 runs - estimation_procedure: Interleaved Test then Train - target_feature: type
Clustering on zoo
0 runs - target_feature: Foo
Clustering on zoo
0 runs
Clustering on zoo
0 runs
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