While pretraining introduces unavoidable statistical errors, the study argues that post-training and evaluation practices ...

Unlike most other binary classification systems, when using LightGBM, numeric predictor variables can be used as-is. You can normalize numeric predictors using min-max, z-score, or divide-by-constant ...

Binary Classification Using a scikit Decision Tree Dr. James McCaffrey of Microsoft Research says decision trees are useful for relatively small datasets and when the trained model must be easily ...

Publications of the Astronomical Society of the Pacific, Vol. 132, No. 1010 (2020 April), pp. 1-11 (11 pages) Typically, binary classification lens-finding schemes are used to discriminate between ...