Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news reportingout of Sangju, South Korea, by NewsRx editors, research stated, “This study presents a comprehensivemulti- model machine learning (ML) approach to predict river bed load, addressing the c hallenge ofquantifying predictive uncertainty in fluvial geomorphology. Six ML models-random forest (RF), categoricalboosting (CAT), extra tree regression (ET R), gradient boosting machine (GBM), Bayesian regression model(BRM), and K-near est neighbors (KNNs)-were thoroughly evaluated across several performance metric slike root mean square error (RMSE), and correlation coefficient ®.”
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