An Ensemble Learning Model For Forecasting Water-pipe Leakage

This article discusses the use of ensemble learning-based models for water pipe leakage forecasting, and compares the results with traditional bagging and boosting techniques. The proposed optimizable ensemble model shows improved prediction accuracy and outperforms other models in terms of root-mean-square error and mean absolute error.