Customer churn prediction is vital for organizations to mitigate costs and foster growth. Ensemble learning models are commonly used for churn prediction. Diversity and prediction performance are two
The raw data are divided into three parts: the Australian credit dataset (Australian.csv), the Japanese credit dataset (JapanData.csv), and the Polish credit dataset (Polish.csv). These raw data were
We investigate the predictive performance of two novel CNN-DNN machine learning ensemble models in predicting county-level corn yields across the US Corn Belt (12 states). The developed data set is a
Short-term load forecasting (STLF) for a country is the key to planning the day-to-day operations of its power system to match the demand and the supply without interruption. Thailand is an industrial
Complex nonlinear relationships exist between the permafrost thermal state, active layer thickness, and terrestrial carbon cycle dynamics. In Arctic and boreal Alaska, significant uncertainties charac
