首页|Studies from Clemson University in the Area of Machine LearningReported (eutxg: a Machine-learning Model To Understand and Predict the Melting Point of Novel X -bonded Deep Eutectic Solvents)
Studies from Clemson University in the Area of Machine LearningReported (eutxg: a Machine-learning Model To Understand and Predict the Melting Point of Novel X -bonded Deep Eutectic Solvents)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting from Clemson, South Carolina, by NewsRx journalists, research stated, “We present the applicationof an extre me gradient boosting model (eutXG) to predict the melting point (MP) of deep eut ecticsolvents (DES). The model is based on XGBoost, a decision tree ensemble ba sed on gradient boostingdesigned to be highly scalable that enables superior tr aining speed and prediction accuracy.”
ClemsonSouth CarolinaUnited StatesNorth and CentralAmericaCyborgsEmerging TechnologiesMachine LearningCle mson University
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