Prediction of Rockburst Intensity Grade in Deep Underground Excavation Using Adaptive Boosting Classifier

Table 4

Performance metrics of each model for test data.

Method	ACC (%)	Kappa
Russenes criterion [55]	42.867	0.222
Rock brittleness coefficient criterion [48]	53.571	0.352
Elastic energy index [46]	39.286	0.138
ANN [41]	89.286	0.856
CNN [41]	100	1.000
Random tree [42]	100	1.000
J48 [42]	92.857	0.904
AdaBoost (present study)	100	1.000

Note. Bold values indicate the highest value for each model.