How to deal with multiple class ROC analysis in R (pROC package)?

When I use multiclass.roc function in R (pROC package), for instance, I trained a data set by random forest, here is my code:

# randomForest & pROC packages should be installed:
# install.packages(c(randomForest, pROC))
data(iris)
library(randomForest)
library(pROC)
set.seed(1000)
# 3-class in response variable
rf = randomForest(Species~., data = iris, ntree = 100)
# predict(.., type = prob) returns a probability matrix
multiclass.roc(iris$Species, predict(rf, iris, type = prob))

And the result is:

Call:
multiclass.roc.default(response = iris$Species, predictor = predict(rf,
iris, type = "prob"))
Data: predict(rf, iris, type = "prob") with 3 levels of iris$Species: setosa,
versicolor, virginica.
Multi-class area under the curve: 0.5142

Is this right? Thanks!!!

“pROC” reference: http://www.inside-r.org/packages/cran/pROC/docs/multiclass.roc

The Odd Couple 2015 S01E03 720p HDTV X264-DIMENSION [GloDLS]

Category: TV shows
Seeds: 0
Leechers: 0
Size: 574.63 MB

More @ limetorrents.cc

crush the ships

Category: Games
Seeder: 0
Leecher: 0
Size: 4.29 MB

See more @ TorrentR.eu

Funny or Die put a bunch of EDM stars in ‘CSI: Ibiza’

Funny or Die is going to the one place NCIS has yet to go—Ibiza. For the site’s latest parody, FoD enlisted some of EDM’s biggest names for a mock-thriller trip through the Europe’s biggest club outposts. Steve Aoki and R3hab are detectivies, Martin Garrix is a forensic scientist…

VA – Alta Tensao (2013)

VA – Alta Tensao (2013)
PsyCore, Hi-Tech | Free Minds Records
320 kbps | MP3 | unmixed | 2013 | 119:03 | 284 Mb