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The challenge of monitoring elusive large carnivores: An accurate and cost-effective tool to identify and sex pumas (Puma concolor) from footprints

Fig 5

The figure shows a model validation of the accuracy of classification in relation to the size of the test set against the training set.

The varying test set size was plotted against itself (red), the predicted value for each test size iteration (black) and the mean predicted value for each test size (blue). Optimal classification accuracy was obtained when the test set size was smallest relative to the training set. However, the robustness of the model was demonstrated by the predicted value being close to the expected value, even when the test set was considerably larger than the training set (24:11).

Fig 5