Table 3 Type of artificial intelligence techniques adopted
Technique | Algorithm | Frequency | % |
|---|---|---|---|
Machine learning | Random forest | 23 | 19.66 |
eXtreme Gradient Boosting | 22 | 18.80 | |
Gradient boosting machine | 14 | 11.97 | |
LightGBM | 6 | 5.13 | |
Logistic regression | 4 | 3.42 | |
Support vector machine | 4 | 3.42 | |
Stacking (or other ensembles) | 3 | 2.56 | |
CatBoost | 2 | 1.71 | |
Decision tree | 2 | 1.71 | |
Neural network | 1 | 0.85 | |
INC2.5 | 1 | 0.85 | |
LASSO | 1 | 0.85 | |
AutoScore | 1 | 0.85 | |
Deep learning | Deep neural network | 22 | 18.80 |
Convolutional neural network | 11 | 6.84 | |
| Â | Recurrent neural network | 3 | 2.56 |