Fig 10.tif (438.16 kB)
The relationship between the number of variables used to classify by sex and the resulting percentage accuracy of classification, from which 20 was identified as an optimal number.
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posted on 2017-03-08, 18:32 authored by Sky Alibhai, Zoe Jewell, Jonah EvansThe relationship between the number of variables used to classify by sex and the resulting percentage accuracy of classification, from which 20 was identified as an optimal number.
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sex classificationtechnique535 footprintsreference databaseSuch limitationsfelid populationsdata collection protocolpairwise trail comparison10 facilitiessex pumaslandscape levelsimage collection protocolClassification accuracyanimal welfareVHFPuma concolorGPS technologyJMP data visualization softwarecross-validated discriminant analysis
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