financial distress prediction ( factors determintants)
using ensemble learning models ( XGBOOST , RANDOM FOREST , GRADIENT BOOSTING , CATBOOST , CART, ADABOOST, STAKING ) IN BANKRUPTCY PREDICTION ,OR FINANCIAL DISTRESS
USING CLUSTERING ALGORITHM ( K- MEANS, AgglomerativeClustering
GaussianMixture
DBSCAN IN PREDINCT FINANCIAL DISTRESS , BANKRUPTCY MODELS
Here are some references related to financial distress prediction and ensemble learning models, particularly in the context of bankruptcy prediction or financial distress:
These references should provide a good starting point for understanding financial distress prediction models and the use of ensemble learning techniques such as XGBoost, Random Forest, Gradient Boosting, CatBoost, CART, AdaBoost, and Stacking in bankruptcy prediction or financial distress analysis.
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