Table 4.

Finance

Title	Comparison between XGBoost, LightGBM and CatBoost using a home credit dataset
Description	Evaluate of XGBoost, LightGBM, and CatBoost performance in predicting loan default
Performance metric	AUC, running time
Winner	LightGBM
Reference	[19]
Title	Short term electricity spot price forecasting using CatBoost and bidirectional long short term memory neural network
Description	CatBoost for feature selection for time-series data
Performance metric	Mean absolute percentage error
Winner	CatBoost not a competitor, used for feature selection
Reference	[21]
Title	Research on personal credit scoring model based on multi-source data
Description	Use “Stacking&Blending” with CatBoost, Logistic Regression, and Random Forest to calculate credit score in a regression technique
Performance metric	Model is ensemble of no direct comparison between algorithms; performance measured in AUC
Winner	N/A
Reference	[22]
Title	Predicting loan default in peer-to-peer lending using narrative data.
Description	Evaluate CatBoost against other classifiers on the task of predicting loan default using Lending Club data
Performance metric	Accuracy, AUC, H measure, type I error rate, type II error rate
Winner	CatBoost
Reference	[20]