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Bulletin of the National Research Centre

Table 6 Error measurements of the individual base models in our stack ensemble model and the error measurement of our stack ensemble

From: Improving mortality forecasting using a hybrid of Lee–Carter and stacking ensemble model

Machine learning models

Metric

Stack ensemble

Random forest

XGBoost

GLM

DT

RMSE

0.1306422

1.761899

1.747702

1.758636

1.747861

MAPE

0.0544645

0.9773364

0.9798964

0.9851048

0.9799522

MAE

0.1270404

1.669135

1.607744

1.623914

1.608126

  1. The stack ensemble model comprises four base models: RF, XGBoost, GLM, and DT
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