Print IAUC output in detail
# S3 method for class 'IAUC'
print(x, ...)
library(ROCR)
data("ROCR.simple")
Ioutput <- IAUC(ROCR.simple$predictions, ROCR.simple$labels)
print(Ioutput)
#> output is:
#> $AUC
#> [1] 0.8341875
#>
#> $SIF
#> $SIF$Pos
#> Index influence
#> [1,] 29 -0.8248417
#> [2,] 86 -0.8341875
#> [3,] 93 -0.5818511
#> [4,] 145 -0.6379258
#> [5,] 178 -0.8248417
#>
#> $SIF$Neg
#> Index influence
#> [1,] 10 -0.6513918
#> [2,] 25 -0.7911768
#> [3,] 49 -0.5116069
#> [4,] 77 -0.7266606
#> [5,] 108 -0.7911768
#> [6,] 193 -0.8019295
#>
#>
#> $DEIF
#> $DEIF$Pos
#> Index influence
#> [1,] 29 -0.8338074
#> [2,] 86 -0.8432548
#> [3,] 93 -0.5881755
#> [4,] 145 -0.6448598
#> [5,] 178 -0.8338074
#>
#> $DEIF$Neg
#> Index influence
#> [1,] 10 -0.6575370
#> [2,] 25 -0.7986407
#> [3,] 49 -0.5164334
#> [4,] 77 -0.7335159
#> [5,] 108 -0.7986407
#> [6,] 193 -0.8094948
#>
#>