Table 2.xls (5.5 kB)
Accuracy measures and confusion matrix from 10-fold cross validation of a random forest model of presence and absence of the glass sponge V. pourtalesi.
dataset
posted on 2018-10-24, 18:02 authored by Lindsay Beazley, Zeliang Wang, Ellen Kenchington, Igor Yashayaev, Hans Tore Rapp, Joana R. Xavier, Francisco Javier Murillo, Derek Fenton, Susanna FullerObserv. = Observations; Sensit. = Sensitivity, Specif. = Specificity. AUC represents an average across all 10 model folds, while the confusion matrix, class error, sensitivity and specificity result from a summation of the predicted outcomes in the 2 x 2 confusion matrix generated for each of the 10 model folds. Prevalence (0.07) was used as the probability threshold.
