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  • Two kinds of methods for assessing reliability of regression models are analysed. The first kind consists in obtaining confidence intervals using either statistical methods (frequentist, Bayesian) or transductive inference. The second kind are heuristic methods, designed so that they correlate with prediction error. Both methods are compared on four kinds of parametric regression models using real-world data. This is a work in progress, that is why transductive inference has not been implemented yet, only one dataset has been used, and the comparison has been implemented for two kinds of regression models, so far: multilayer perceptron and support-vector regression. For them, the variability of results obtained by heuristics methods with respect to different models is illustrated, as well as the correlation between the confidence intervals and the heuristic methods.
  • Two kinds of methods for assessing reliability of regression models are analysed. The first kind consists in obtaining confidence intervals using either statistical methods (frequentist, Bayesian) or transductive inference. The second kind are heuristic methods, designed so that they correlate with prediction error. Both methods are compared on four kinds of parametric regression models using real-world data. This is a work in progress, that is why transductive inference has not been implemented yet, only one dataset has been used, and the comparison has been implemented for two kinds of regression models, so far: multilayer perceptron and support-vector regression. For them, the variability of results obtained by heuristics methods with respect to different models is illustrated, as well as the correlation between the confidence intervals and the heuristic methods. (en)
Title
  • Assessing the Usability of Predictions of Different Regression Models
  • Assessing the Usability of Predictions of Different Regression Models (en)
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  • Assessing the Usability of Predictions of Different Regression Models
  • Assessing the Usability of Predictions of Different Regression Models (en)
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  • RIV/67985807:_____/10:00348393!RIV11-GA0-67985807
http://linked.open...avai/riv/aktivita
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  • P(GA201/08/0802), Z(AV0Z10300504)
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  • 247885
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  • RIV/67985807:_____/10:00348393
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  • regression models; confidence of predictions; confidence intervals; transductive inference; sensitivity analysis (en)
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  • [1983F4783DAA]
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  • Holeňa, Martin
  • Šťastný, J.
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http://linked.open...n/vavai/riv/zamer
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  • Pont
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  • 978-80-970179-3-4
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