Individual level classification results.
Arguments
- m
an object of class "clubprofit" produced by
club()- digits
an integer
Details
Returns a data.frame containing predicted classifications and classification accuracy for each individual observation.
Examples
mod <- club(rate ~ dose, data = caffeine)
individual_results(mod)
#> individual observation target prediction accuracy csi
#> 1 1 242 0 0 correct 1.00
#> 2 2 245 0 100 incorrect 0.64
#> 3 3 244 0 0 correct 0.87
#> 4 4 248 0 200 incorrect 0.67
#> 5 5 247 0 100 incorrect 0.91
#> 6 6 248 0 200 incorrect 0.67
#> 7 7 242 0 0 correct 1.00
#> 8 8 244 0 0 correct 0.87
#> 9 9 246 0 100 incorrect 0.73
#> 10 10 242 0 0 correct 1.00
#> 11 11 248 100 200 incorrect 0.67
#> 12 12 246 100 100 correct 0.73
#> 13 13 245 100 100 correct 0.64
#> 14 14 247 100 100 correct 0.91
#> 15 15 248 100 200 incorrect 0.67
#> 16 16 250 100 200 incorrect 0.93
#> 17 17 247 100 100 correct 0.91
#> 18 18 246 100 100 correct 0.73
#> 19 19 243 100 100 correct 1.00
#> 20 20 244 100 0 incorrect 0.87
#> 21 21 246 200 100 incorrect 0.73
#> 22 22 248 200 200 correct 0.67
#> 23 23 250 200 200 correct 0.93
#> 24 24 252 200 200 correct 1.00
#> 25 25 248 200 200 correct 0.67
#> 26 26 250 200 200 correct 0.93
#> 27 27 246 200 100 incorrect 0.73
#> 28 28 248 200 200 correct 0.67
#> 29 29 245 200 100 incorrect 0.64
#> 30 30 250 200 200 correct 0.93