OpenML
olindda_outliers

olindda_outliers

active ARFF Public Domain (CC0) Visibility: public Uploaded 21-01-2021 by Christian Gruhl
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Outliers data set extracted from the Illustration (Fig. 3) in "Novelty detection with application to data streams"

3 features

label (target)nominal4 unique values
0 missing
x_0numeric62 unique values
0 missing
x_1numeric49 unique values
0 missing
Show all 3 features

19 properties

NumberOfInstances
75
Number of instances (rows) of the dataset.
NumberOfFeatures
3
Number of attributes (columns) of the dataset.
NumberOfClasses
4
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
2
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
Dimensionality
0.04
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
66.67
Percentage of numeric attributes.
MajorityClassPercentage
40
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
33.33
Percentage of nominal attributes.
MajorityClassSize
30
Number of instances belonging to the most frequent class.
MinorityClassPercentage
16
Percentage of instances belonging to the least frequent class.
MinorityClassSize
12
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
0
Number of binary attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
AutoCorrelation
0.27
Average class difference between consecutive instances.
PercentageOfMissingValues
0
Percentage of missing values.
Show all 19 properties

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