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A Machine Learning Framework for Drought Prediction in Tropical Malaysia With Input Data UncertaintyNARA Subscribed
The far‐reaching and devastating impacts of drought underscored the need for effective drought forecasting. This study addressed the critical gap of the often‐overlooked impacts of input data uncertainty on the forecasting accuracy. The study incorporated the input data uncertainty as a novel approach into the hybrid Extreme Gradient Boosting‐Recurrent Neural Network (XGBoost‐RNN) to forecast Standardised Precipitation Index (...