A Novel Stacking Heterogeneous Ensemble Model with Hybrid Wrapper-Based Feature Selection for Reservoir Productivity Predictions

Table 3

Benchmark forecasting models.

Model	Description
IF_LR	Feed the initial features to the base-regressor
IF_SVR
IF_RF
IF_Xgboost
IF_NN
MF_LR	Feed the main features to the base-regressor
MF_SVR
MF_RF
MF_Xgboost
MF_NN
IF_Ensemble_Average	Employ the average-based method to combine the predictions of the IF_base-regressor models
IF_Ensemble_Stack	Employ a meta-regressor to combine the predictions of the IF_base-regressor models
MF_Ensemble_Average	Employ the average-based method to combine the predictions of the MF_base-regressor models
MF_Ensemble_Stack	Employ a meta-regressor to combine the predictions of the MF_base-regressor models
IF_MF_Ensemble_Average	Employ the average-based method to combine the predictions of the IF_Ensemble_Stack and MF_Ensemble_Stack model