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.
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https://figshare.com/articles/dataset/Accuracy_measures_and_confusion_matrix_from_10-fold_cross_validation_of_a_random_forest_model_of_presence_and_absence_of_the_glass_sponge_i_V_i_i_pourtalesi_i_/7249112
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Observ. = 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.
创建时间:
2018-10-24



