Plot model evaluation data
Make a ROC curve, or a plot of a threshold dependent measure against threshold values
usage: plot(x, y, ...)
x |
Object of class ModelEvaluation | |
y |
Character. Either 'ROC' or a threshold dependent measure such as 'kappa', 'TPR' | |
... |
Additional arguments that can be passed to plot | |
Robert J. Hijmans
# p = the predicted value for 50 known cases (locations) with presence of the phenomenon (species) p = rnorm(50, mean=0.7, sd=0.3) # b = the predicted value for 50 known cases (locations) with absence of the phenomenon (species) a = rnorm(50, mean=0.4, sd=0.4) e = evaluate(p=p, a=a) plot(e, 'ROC') plot(e, 'kappa') plot(e, 'FPR') plot(e, 'prevalence')
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.