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Data imputation and comparison of custom ensemble models with existing libraries like XGBoost, CATBoost, AdaBoost and Scikit learn for predictive equipment failure

Tejas Y. Deo, Aditya Sanju

2022Materials Today Proceedings17 citationsDOI

Topics & Concepts

Missing dataAdaBoostComputer scienceEstimatorClassifier (UML)Imputation (statistics)Artificial intelligenceEnsemble learningMachine learningData miningStatisticsMathematicsFault Detection and Control SystemsAnomaly Detection Techniques and ApplicationsMineral Processing and Grinding
Data imputation and comparison of custom ensemble models with existing libraries like XGBoost, CATBoost, AdaBoost and Scikit learn for predictive equipment failure | Litcius