Understanding the Bias-Variance Tradeoff. Fortmann-Roe, S. 2012. abstract bibtex When we discuss prediction models, prediction errors can be decomposed into two main subcomponents we care about: error due to "bias" and error due to "variance". There is a tradeoff between a model's ability to minimize bias and variance. Understanding these two types of error can help us diagnose model results and avoid the mistake of over- or under-fitting.
@book{fortmann-roeUnderstandingBiasvarianceTradeoff2012,
title = {Understanding the Bias-Variance Tradeoff},
author = {{Fortmann-Roe}, Scott},
year = {2012},
abstract = {When we discuss prediction models, prediction errors can be decomposed into two main subcomponents we care about: error due to "bias" and error due to "variance". There is a tradeoff between a model's ability to minimize bias and variance. Understanding these two types of error can help us diagnose model results and avoid the mistake of over- or under-fitting.},
keywords = {*imported-from-citeulike-INRMM,~INRMM-MiD:c-13849984,data-uncertainty,featured-publication,modelling-uncertainty,overfitting,prediction,prediction-bias,trade-offs,uncertainty,underfitting},
lccn = {INRMM-MiD:c-13849984},
series = {Essays}
}
Downloads: 0
{"_id":"B7gyGSuNXmLQkxNQb","bibbaseid":"fortmannroe-understandingthebiasvariancetradeoff-2012","downloads":0,"creationDate":"2016-06-22T10:19:31.873Z","title":"Understanding the Bias-Variance Tradeoff","author_short":["Fortmann-Roe, S."],"year":2012,"bibtype":"book","biburl":"https://sharefast.me/php/download.php?id=zOUKvA&token=29","bibdata":{"bibtype":"book","type":"book","title":"Understanding the Bias-Variance Tradeoff","author":[{"propositions":[],"lastnames":["Fortmann-Roe"],"firstnames":["Scott"],"suffixes":[]}],"year":"2012","abstract":"When we discuss prediction models, prediction errors can be decomposed into two main subcomponents we care about: error due to \"bias\" and error due to \"variance\". There is a tradeoff between a model's ability to minimize bias and variance. Understanding these two types of error can help us diagnose model results and avoid the mistake of over- or under-fitting.","keywords":"*imported-from-citeulike-INRMM,~INRMM-MiD:c-13849984,data-uncertainty,featured-publication,modelling-uncertainty,overfitting,prediction,prediction-bias,trade-offs,uncertainty,underfitting","lccn":"INRMM-MiD:c-13849984","series":"Essays","bibtex":"@book{fortmann-roeUnderstandingBiasvarianceTradeoff2012,\n title = {Understanding the Bias-Variance Tradeoff},\n author = {{Fortmann-Roe}, Scott},\n year = {2012},\n abstract = {When we discuss prediction models, prediction errors can be decomposed into two main subcomponents we care about: error due to \"bias\" and error due to \"variance\". There is a tradeoff between a model's ability to minimize bias and variance. Understanding these two types of error can help us diagnose model results and avoid the mistake of over- or under-fitting.},\n keywords = {*imported-from-citeulike-INRMM,~INRMM-MiD:c-13849984,data-uncertainty,featured-publication,modelling-uncertainty,overfitting,prediction,prediction-bias,trade-offs,uncertainty,underfitting},\n lccn = {INRMM-MiD:c-13849984},\n series = {Essays}\n}\n\n","author_short":["Fortmann-Roe, S."],"key":"fortmann-roeUnderstandingBiasvarianceTradeoff2012","id":"fortmann-roeUnderstandingBiasvarianceTradeoff2012","bibbaseid":"fortmannroe-understandingthebiasvariancetradeoff-2012","role":"author","urls":{},"keyword":["*imported-from-citeulike-INRMM","~INRMM-MiD:c-13849984","data-uncertainty","featured-publication","modelling-uncertainty","overfitting","prediction","prediction-bias","trade-offs","uncertainty","underfitting"],"downloads":0},"search_terms":["understanding","bias","variance","tradeoff","fortmann-roe"],"keywords":["data-uncertainty","featured-publication","modelling-uncertainty","overfitting","prediction","prediction-bias","trade-offs","uncertainty","underfitting","*imported-from-citeulike-inrmm","~inrmm-mid:c-13849984"],"authorIDs":[],"dataSources":["5S2zj2hKW8TWTkuMq"]}