Data
shapes

shapes

active ARFF Public Domain (CC0) Visibility: public Uploaded 13-10-2020 by Lewis Tunstall
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A subset of the 3D dataset from Princeton\'s COS 429 Computer Vision course. The dataset consists of 40 models organised into 4 classes of 10 objects each.

4 features

xnumeric15586 unique values
0 missing
ynumeric14725 unique values
0 missing
znumeric15568 unique values
0 missing
targetnominal40 unique values
0 missing
Show all 4 features

19 properties

NumberOfInstances
16000
Number of instances (rows) of the dataset.
NumberOfFeatures
4
Number of attributes (columns) of the dataset.
NumberOfClasses
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
3
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
Dimensionality
0
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
75
Percentage of numeric attributes.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
25
Percentage of nominal attributes.
MajorityClassSize
Number of instances belonging to the most frequent class.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MinorityClassSize
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
Average class difference between consecutive instances.
PercentageOfMissingValues
0
Percentage of missing values.
Show all 19 properties

2 tasks

Clustering on shapes
0 runs - estimation_procedure: 50 times Clustering
Clustering on shapes
0 runs - estimation_procedure: 50 times Clustering
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