Data
lizards_dataset

lizards_dataset

active ARFF Publicly available Visibility: public Uploaded 06-02-2022 by Oleksandr Zadorozhnyi
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  • Graphical models Machine Learning MaRDI Mathematics TA3
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Dataset description Real-world data set about the perching behaviour of two species of lizards in the South Bimini island, from Shoener (1968). Format of the dataset The lizards data set contains the following variables: Species (the species of the lizard): a two-level factor with levels Sagrei and Distichus. Height (perch height): a two-level factor with levels high (greater than 4.75 feet) and low (lesser or equal to 4.75 feet). Diameter (perch diameter): a two-level factor with levels narrow (greater than 4 inches) and wide (lesser or equal to 4 inches). Source Edwards DI (2000). Introduction to Graphical Modelling. Springer, 2nd edition. Fienberg SE (1980). The Analysis of Cross-Classified Categorical Data. Springer, 2nd edition. Schoener TW (1968). "The Anolis Lizards of Bimini: Resource Partitioning in a Complex Fauna". Ecology, 49(4):704-726.

3 features

Speciesnominal2 unique values
0 missing
Diameternominal2 unique values
0 missing
Heightnominal2 unique values
0 missing

19 properties

409
Number of instances (rows) of the dataset.
3
Number of attributes (columns) of the dataset.
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.
0
Number of numeric attributes.
3
Number of nominal attributes.
0.01
Number of attributes divided by the number of instances.
0
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
100
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
3
Number of binary attributes.
100
Percentage of binary attributes.
0
Percentage of instances having missing values.
Average class difference between consecutive instances.
0
Percentage of missing values.

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