We analyze critically the use of classification accuracy to compare classifiers on natural data sets, providing a thorough investigation using ROC analysis, standard machine learning …
F Provost, T Fawcett, R Kohavi - fosterprovost.com
We analyze critically the use of classification accuracy to compare classifiers on natural data sets, providing a thorough investigation using ROC analysis, standard machine learning …
We analyze critically the use of classification accuracy to compare classifiers on natural data sets, providing a thorough investigation using ROC analysis, standard machine learning …
We analyze critically the use of classi cation accuracy to compare classi ers on natural data sets, providing a thorough investigation using ROC analysis, standard machine learning …
F Provost, T Fawcett, R Kohavi - pages.cs.wisc.edu
We analyze critically the use of classification accuracy to compare classifiers on natural data sets, providing a thorough investigation using ROC analysis, standard machine learning …
We analyze critically the use of classification accuracy to compare classifiers on natural data sets, providing a thorough investigation using ROC analysis, standard machine learning …
FJ Provost, T Fawcett, R Kohavi - Proceedings of the Fifteenth …, 1998 - dl.acm.org
The Case against Accuracy Estimation for Comparing Induction Algorithms | Proceedings of the Fifteenth International Conference on Machine Learning skip to main content ACM Digital …
F Provost, T Fawcett, R Kohavi - robotics.stanford.edu
We analyze critically the use of classification accuracy to compare classifiers on natural data sets, providing a thorough investigation using ROC analysis, standard machine learning …