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Silhouette

in_preparation ARFF Public Domain (CC0) Visibility: public Uploaded 04-06-2018 by Bilge Celik
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Artificially generated data of silhouettes given poses. Note that the data does not display a left/right ambiguity because across the entire data set one of the arms sticks out more the the other, disambiguating the pose as to which way the individual is facing.

163 features

0	numeric	2345 unique values 0 missing
1	numeric	2345 unique values 0 missing
2	numeric	2345 unique values 0 missing
3	numeric	2345 unique values 0 missing
4	numeric	2345 unique values 0 missing
5	numeric	2345 unique values 0 missing
6	numeric	2345 unique values 0 missing
7	numeric	2344 unique values 0 missing
8	numeric	2345 unique values 0 missing
9	numeric	2345 unique values 0 missing
10	numeric	2345 unique values 0 missing
11	numeric	2345 unique values 0 missing
12	numeric	2345 unique values 0 missing
13	numeric	2345 unique values 0 missing
14	numeric	2345 unique values 0 missing
15	numeric	2345 unique values 0 missing
16	numeric	2345 unique values 0 missing
17	numeric	2345 unique values 0 missing
18	numeric	2345 unique values 0 missing
19	numeric	2345 unique values 0 missing
20	numeric	2345 unique values 0 missing
21	numeric	2345 unique values 0 missing
22	numeric	2345 unique values 0 missing
23	numeric	2345 unique values 0 missing
24	numeric	2345 unique values 0 missing
25	numeric	2345 unique values 0 missing
26	numeric	2345 unique values 0 missing
27	numeric	2345 unique values 0 missing
28	numeric	2345 unique values 0 missing
29	numeric	2345 unique values 0 missing
30	numeric	2345 unique values 0 missing
31	numeric	2345 unique values 0 missing
32	numeric	2345 unique values 0 missing
33	numeric	2345 unique values 0 missing
34	numeric	2345 unique values 0 missing
35	numeric	2345 unique values 0 missing
36	numeric	2345 unique values 0 missing
37	numeric	2345 unique values 0 missing
38	numeric	2345 unique values 0 missing
39	numeric	2345 unique values 0 missing
40	numeric	2345 unique values 0 missing
41	numeric	2345 unique values 0 missing
42	numeric	2345 unique values 0 missing
43	numeric	2345 unique values 0 missing
44	numeric	2345 unique values 0 missing
45	numeric	2345 unique values 0 missing
46	numeric	2345 unique values 0 missing
47	numeric	2345 unique values 0 missing
48	numeric	2345 unique values 0 missing
49	numeric	2345 unique values 0 missing
50	numeric	2345 unique values 0 missing
51	numeric	2345 unique values 0 missing
52	numeric	2345 unique values 0 missing
53	numeric	2345 unique values 0 missing
54	numeric	2345 unique values 0 missing
55	numeric	2345 unique values 0 missing
56	numeric	2345 unique values 0 missing
57	numeric	2345 unique values 0 missing
58	numeric	2345 unique values 0 missing
59	numeric	2345 unique values 0 missing
60	numeric	2345 unique values 0 missing
61	numeric	2345 unique values 0 missing
62	numeric	2345 unique values 0 missing
63	numeric	2345 unique values 0 missing
64	numeric	2345 unique values 0 missing
65	numeric	2345 unique values 0 missing
66	numeric	2345 unique values 0 missing
67	numeric	2345 unique values 0 missing
68	numeric	2345 unique values 0 missing
69	numeric	2345 unique values 0 missing
70	numeric	2345 unique values 0 missing
71	numeric	2345 unique values 0 missing
72	numeric	2345 unique values 0 missing
73	numeric	2345 unique values 0 missing
74	numeric	2345 unique values 0 missing
75	numeric	2345 unique values 0 missing
76	numeric	2345 unique values 0 missing
77	numeric	2345 unique values 0 missing
78	numeric	2345 unique values 0 missing
79	numeric	2345 unique values 0 missing
80	numeric	2345 unique values 0 missing
81	numeric	2345 unique values 0 missing
82	numeric	2345 unique values 0 missing
83	numeric	2345 unique values 0 missing
84	numeric	2345 unique values 0 missing
85	numeric	2345 unique values 0 missing
86	numeric	2345 unique values 0 missing
87	numeric	2345 unique values 0 missing
88	numeric	2345 unique values 0 missing
89	numeric	2345 unique values 0 missing
90	numeric	2345 unique values 0 missing
91	numeric	2345 unique values 0 missing
92	numeric	2345 unique values 0 missing
93	numeric	2345 unique values 0 missing
94	numeric	2345 unique values 0 missing
95	numeric	2345 unique values 0 missing
96	numeric	2345 unique values 0 missing
97	numeric	2345 unique values 0 missing
98	numeric	2345 unique values 0 missing
99	numeric	2345 unique values 0 missing
y0	numeric	1 unique values 0 missing
y1	numeric	1 unique values 0 missing
y2	numeric	1 unique values 0 missing
y3	numeric	1 unique values 0 missing
y4	numeric	1 unique values 0 missing
y5	numeric	1 unique values 0 missing
y6	numeric	2345 unique values 0 missing
y7	numeric	2345 unique values 0 missing
y8	numeric	2345 unique values 0 missing
y9	numeric	2345 unique values 0 missing
y10	numeric	2345 unique values 0 missing
y11	numeric	2345 unique values 0 missing
y12	numeric	2345 unique values 0 missing
y13	numeric	2345 unique values 0 missing
y14	numeric	2345 unique values 0 missing
y15	numeric	2345 unique values 0 missing
y16	numeric	2345 unique values 0 missing
y17	numeric	2345 unique values 0 missing
y18	numeric	2345 unique values 0 missing
y19	numeric	2345 unique values 0 missing
y20	numeric	2345 unique values 0 missing
y21	numeric	2345 unique values 0 missing
y22	numeric	2345 unique values 0 missing
y23	numeric	2345 unique values 0 missing
y24	numeric	2345 unique values 0 missing
y25	numeric	2345 unique values 0 missing
y26	numeric	2345 unique values 0 missing
y27	numeric	2345 unique values 0 missing
y28	numeric	2345 unique values 0 missing
y29	numeric	2345 unique values 0 missing
y30	numeric	2345 unique values 0 missing
y31	numeric	2345 unique values 0 missing
y32	numeric	2345 unique values 0 missing
y33	numeric	2345 unique values 0 missing
y34	numeric	2345 unique values 0 missing
y35	numeric	2345 unique values 0 missing
y36	numeric	2345 unique values 0 missing
y37	numeric	2345 unique values 0 missing
y38	numeric	2345 unique values 0 missing
y39	numeric	2345 unique values 0 missing
y40	numeric	2345 unique values 0 missing
y41	numeric	2345 unique values 0 missing
y42	numeric	2345 unique values 0 missing
y43	numeric	2345 unique values 0 missing
y44	numeric	2345 unique values 0 missing
y45	numeric	2345 unique values 0 missing
y46	numeric	2345 unique values 0 missing
y47	numeric	2345 unique values 0 missing
y48	numeric	2345 unique values 0 missing
y49	numeric	2345 unique values 0 missing
y50	numeric	2345 unique values 0 missing
y51	numeric	2345 unique values 0 missing
y52	numeric	2345 unique values 0 missing
y53	numeric	2345 unique values 0 missing
y54	numeric	2345 unique values 0 missing
y55	numeric	2345 unique values 0 missing
y56	numeric	2345 unique values 0 missing
y57	numeric	2345 unique values 0 missing
y58	numeric	2345 unique values 0 missing
y59	numeric	2345 unique values 0 missing
y60	numeric	2345 unique values 0 missing
y61	numeric	2345 unique values 0 missing
y62	numeric	2345 unique values 0 missing

Show first 100 features

62 properties

NumberOfInstances

2345

Number of instances (rows) of the dataset.

NumberOfFeatures

163

Number of attributes (columns) of the dataset.

NumberOfClasses

Number of distinct values of the target attribute (if it is nominal).

NumberOfMissingValues

Number of missing values in the dataset.

NumberOfInstancesWithMissingValues

Number of instances with at least one value missing.

NumberOfNumericFeatures

163

Number of numeric attributes.

NumberOfSymbolicFeatures

Number of nominal attributes.

ClassEntropy

Entropy of the target attribute values.

MeanNoiseToSignalRatio

An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.

Quartile2AttributeEntropy

Second quartile (Median) of entropy among attributes.

Dimensionality

0.07

Number of attributes divided by the number of instances.

MeanNominalAttDistinctValues

Average number of distinct values among the attributes of the nominal type.

Quartile2KurtosisOfNumericAtts

10.08

Second quartile (Median) of kurtosis among attributes of the numeric type.

EquivalentNumberOfAtts

Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.

MeanSkewnessOfNumericAtts

3.08

Mean skewness among attributes of the numeric type.

Quartile2MeansOfNumericAtts

-0.21

Second quartile (Median) of means among attributes of the numeric type.

MajorityClassPercentage

Percentage of instances belonging to the most frequent class.

MeanStdDevOfNumericAtts

1.72

Mean standard deviation of attributes of the numeric type.

Quartile2MutualInformation

Second quartile (Median) of mutual information between the nominal attributes and the target attribute.

MajorityClassSize

Number of instances belonging to the most frequent class.

MinAttributeEntropy

Minimal entropy among attributes.

Quartile2SkewnessOfNumericAtts

2.95

Second quartile (Median) of skewness among attributes of the numeric type.

MaxAttributeEntropy

Maximum entropy among attributes.

MinKurtosisOfNumericAtts

-1.62

Minimum kurtosis among attributes of the numeric type.

PercentageOfBinaryFeatures

Percentage of binary attributes.

Quartile2StdDevOfNumericAtts

0.78

Second quartile (Median) of standard deviation of attributes of the numeric type.

MaxKurtosisOfNumericAtts

290.16

Maximum kurtosis among attributes of the numeric type.

MinMeansOfNumericAtts

-61.34

Minimum of means among attributes of the numeric type.

PercentageOfInstancesWithMissingValues

Percentage of instances having missing values.

Quartile3AttributeEntropy

Third quartile of entropy among attributes.

MaxMeansOfNumericAtts

2.68

Maximum of means among attributes of the numeric type.

MinMutualInformation

Minimal mutual information between the nominal attributes and the target attribute.

PercentageOfMissingValues

Percentage of missing values.

Quartile3KurtosisOfNumericAtts

33.91

Third quartile of kurtosis among attributes of the numeric type.

MaxMutualInformation

Maximum mutual information between the nominal attributes and the target attribute.

MinNominalAttDistinctValues

The minimal number of distinct values among attributes of the nominal type.

PercentageOfNumericFeatures

100

Percentage of numeric attributes.

Quartile3MeansOfNumericAtts

0.11

Third quartile of means among attributes of the numeric type.

MaxNominalAttDistinctValues

The maximum number of distinct values among attributes of the nominal type.

MinSkewnessOfNumericAtts

-2.09

Minimum skewness among attributes of the numeric type.

PercentageOfSymbolicFeatures

Percentage of nominal attributes.

Quartile3MutualInformation

Third quartile of mutual information between the nominal attributes and the target attribute.

MaxSkewnessOfNumericAtts

15.43

Maximum skewness among attributes of the numeric type.

MinStdDevOfNumericAtts

Minimum standard deviation of attributes of the numeric type.

Quartile1AttributeEntropy

First quartile of entropy among attributes.

Quartile3SkewnessOfNumericAtts

5.16

Third quartile of skewness among attributes of the numeric type.

MaxStdDevOfNumericAtts

11.9

Maximum standard deviation of attributes of the numeric type.

MinorityClassPercentage

Percentage of instances belonging to the least frequent class.

Quartile1KurtosisOfNumericAtts

0.42

First quartile of kurtosis among attributes of the numeric type.

Quartile3StdDevOfNumericAtts

1.53

Third quartile of standard deviation of attributes of the numeric type.

MeanAttributeEntropy

Average entropy of the attributes.

MinorityClassSize

Number of instances belonging to the least frequent class.

Quartile1MeansOfNumericAtts

-0.33

First quartile of means among attributes of the numeric type.

StdvNominalAttDistinctValues

Standard deviation of the number of distinct values among attributes of the nominal type.

MeanKurtosisOfNumericAtts

24.63

Mean kurtosis among attributes of the numeric type.

NumberOfBinaryFeatures

Number of binary attributes.

Quartile1MutualInformation

First quartile of mutual information between the nominal attributes and the target attribute.

MeanMeansOfNumericAtts

-4.54

Mean of means among attributes of the numeric type.

Quartile1SkewnessOfNumericAtts

0.09

First quartile of skewness among attributes of the numeric type.

AutoCorrelation

Average class difference between consecutive instances.

MeanMutualInformation

Average mutual information between the nominal attributes and the target attribute.

Quartile1StdDevOfNumericAtts

0.37

First quartile of standard deviation of attributes of the numeric type.

Show all 62 properties