Search Results for author:
Found 3 papers, 1 papers with code
Enabling Machine Learning Algorithms for Credit Scoring -- Explainable Artificial Intelligence (XAI) methods for clear understanding complex predictive models
What is even more important and valuable we also show how to boost advanced models using techniques which allow to interpret them and made them more accessible for credit risk practitioners, resolving the crucial obstacle in widespread deployment of more complex, 'black box' models like random forests, gradient boosted or extreme gradient boosted trees.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
+1
Rethinking of Encoder-based Warm-start Methods in Hyperparameter Optimization
In this work, we evaluate Dataset2Vec and liltab on two common meta-tasks - representing entire datasets and hyperparameter optimization warm-start.
Deciphering AutoML Ensembles: cattleia's Assistance in Decision-Making
In many applications, model ensembling proves to be better than a single predictive model.
