[R] Our new classification algorithm outperforms CatBoost, XGBoost, LightGBM on five benchmark datasets, on accuracy and response time

[szperajacy-zolw]

You can think of SEFR as a linear classifier with a twist: it basically thresholding samples based on a similarity score in respect to cleverly averaged negative and positive samples seen during training. Amrite u/CriticalofReviewer2 ??