Descriptive Results
Confusion matrix for:  Class_(y1)                                        Anti_Class_(y2)                                  , THRESHOLD =  0.5000
true classes/predicted classes (percentages)
                0           1           2           3
   1    0 ( 0.0000) 57 ( 0.7500) 19 ( 0.2500) 0 ( 0.0000)
   2    0 ( 0.0000) 11 ( 0.1447) 65 ( 0.8553) 0 ( 0.0000)
Total hit frequency:  0.8026

Predictive Results
Confusion matrix for:  Class_(y1)                                        Anti_Class_(y2)                                  , THRESHOLD =  0.5000
true classes/predicted classes (percentages)
                0           1           2           3
   1    0 ( 0.0000) 20 ( 0.5263) 18 ( 0.4737) 0 ( 0.0000)
   2    0 ( 0.0000) 2 ( 0.0526) 36 ( 0.9474) 0 ( 0.0000)
Total hit frequency:  0.7368

Descriptive Results
Confusion matrix for:  Anti_Class_(y2)                                  , THRESHOLD =  0.5000
true classes/predicted classes (percentages)
                0           1           2           3
   1    0 ( 0.0000) 65 ( 0.8553) 11 ( 0.1447) 0 ( 0.0000)
   2    0 ( 0.0000) 18 ( 0.2368) 58 ( 0.7632) 0 ( 0.0000)
Total hit frequency:  0.8092

Predictive Results
Confusion matrix for:  Anti_Class_(y2)                                  , THRESHOLD =  0.5000
true classes/predicted classes (percentages)
                0           1           2           3
   1    0 ( 0.0000) 36 ( 0.9474) 2 ( 0.0526) 0 ( 0.0000)
   2    0 ( 0.0000) 18 ( 0.4737) 20 ( 0.5263) 0 ( 0.0000)
Total hit frequency:  0.7368