%0 Journal Article %1 Meyer2003169 %A Meyer, David %A Leisch, Friedrich %A Hornik, Kurt %D 2003 %J Neurocomputing %K bachelor:2011:bachmann classifier evaluierung svm test %N 1–2 %P 169 - 186 %R 10.1016/S0925-2312(03)00431-4 %T The support vector machine under test %U http://www.sciencedirect.com/science/article/pii/S0925231203004314 %V 55 %X Support vector machines (SVMs) are rarely benchmarked against other classification or regression methods. We compare a popular SVM implementation (libsvm) to 16 classification methods and 9 regression methods—all accessible through the software R—by the means of standard performance measures (classification error and mean squared error) which are also analyzed by the means of bias-variance decompositions. SVMs showed mostly good performances both on classification and regression tasks, but other methods proved to be very competitive.

@article{Meyer2003169, abstract = {Support vector machines (SVMs) are rarely benchmarked against other classification or regression methods. We compare a popular SVM implementation (libsvm) to 16 classification methods and 9 regression methods—all accessible through the software R—by the means of standard performance measures (classification error and mean squared error) which are also analyzed by the means of bias-variance decompositions. SVMs showed mostly good performances both on classification and regression tasks, but other methods proved to be very competitive.}, added-at = {2012-01-17T14:50:53.000+0100}, author = {Meyer, David and Leisch, Friedrich and Hornik, Kurt}, biburl = {https://www.bibsonomy.org/bibtex/26103bd3731e94193fb3977731e689d12/telekoma}, description = {The support vector machine under test 10.1016/S0925-2312(03)00431-4 : Neurocomputing | ScienceDirect.com}, doi = {10.1016/S0925-2312(03)00431-4}, interhash = {1c6749d4ecb2b42ac7d2fe33d54c9cd5}, intrahash = {6103bd3731e94193fb3977731e689d12}, issn = {0925-2312}, journal = {Neurocomputing}, keywords = {bachelor:2011:bachmann classifier evaluierung svm test}, note = {<ce:title>Support Vector Machines</ce:title>}, number = {1–2}, pages = {169 - 186}, timestamp = {2012-01-17T14:50:53.000+0100}, title = {The support vector machine under test}, url = {http://www.sciencedirect.com/science/article/pii/S0925231203004314}, volume = 55, year = 2003 }