CS 229 Final report AStudy Of Ensemble Methods In Machine Learning Kwhangho Kim, Jeha Yang Abstract The idea of ensemble methodology is to build a predictive model by integrating multiple ...
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...Cs final report astudy of ensemble methods in machine learning kwhangho kim jeha yang abstract the idea methodology is to build a predictive model by integrating multiple models it well known that can be used for improving prediction performance this project we provide novel combining learners classication tasks also present an empirical study with wine quality score data set and demonstrate superior power proposed over simple voting or single introduction classiers whose individual decisions are combined some way typically weighted unweighted classify new examples goal accuracy reliability as diverse independent opinions human decision making pursue more protective mechanism provides ecient improve robustness huge practical usefulness has promise reducing perhaps even eliminating key shortcomings standard algorithms focus on classier ensembles propose method our very yet eective determine optimal weight each sense seeks not only risk minimization but diversication application analyze ...