Ensemble learning predicts multiple sclerosis disease course in the summit study

HIGHLIGHTS

• who: Yijun Zhao from the University of have published the research work: Ensemble learning predicts multiple sclerosis disease course in the SUMMIT study, in the Journal: (JOURNAL)
• what: Two ensemble models XGBoost and LightGBM were superior to the other four models evaluated in the study . The authors report the average model performance of the outer ten test folds. And, nonetheless, not limiting the model evaluation only to the overlapping variables, the authors design the study in three steps as follows. A sequence of classifiers is generated with the new model aiming to correct the errors . . .
  

   

  

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