Journal of Big Data

Table 14 “Best Gini scores of individual ML algorithms on the test data” [26]

From: CatBoost for big data: an interdisciplinary review

XGB	LGB	CatBoost	K-CNN	RF	RGF	LR
0.9234	0.9153	0.9218	0.9307	0.9295	0.9276	0.9069

XGB stands for XGBoost; LGB for LightGBM; K-CNN the Keras [66] implementation of Convolutional Neural Networks; RF for Random Forest; RGF for Regularized Greedy Forest; performance in terms of Normalized Gini Coefficient

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