Table 12 Performance of the proposed AI models applied to Dataset 4.
From: Predicting tourism growth in Saudi Arabia with machine learning models for vision 2030 perspective
Modal name | Train set | Test set | ||||||
|---|---|---|---|---|---|---|---|---|
Acc. | Rec | Pre | F1-score | Acc. | Rec | Pre | F1-score | |
DT | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
RF | 1.000 | 1.000 | 1.000 | 1.000 | 0.978 | 0.978 | 0.983 | 0.978 |
GB | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
VotingV1 | 0.9866 | 0.986 | 0.987 | 0.985 | 0.989 | 0.989 | 0.990 | 0.989 |
VotingV2 | 1.000 | 1.000 | 1.000 | 1.000 | 0.989 | 0.989 | 0.990 | 0.989 |
StackingV1 | 0.997 | 0.997 | 0.997 | 0.997 | 0.989 | 0.989 | 0.990 | 0.989 |
StackingV2 | 0.997 | 0.997 | 0.997 | 0.997 | 1.000 | 1.000 | 1.000 | 1.000 |
HGB | 1.000 | 1.000 | 1.000 | 1.000 | 0.968 | 0.968 | 0.960 | 0.962 |
ET | 1.000 | 1.000 | 1.000 | 1.000 | 0.968 | 0.968 | 0.972 | 0.968 |
ADB | 0.818 | 0.818 | 0.753 | 0.770 | 0.819 | 0.819 | 0.752 | 0.770 |
Bagging | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
