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It is deficiency to use accuracy as a measurement to evaluate model classifying ability. This paper proposes a measurement method which uses the area under the ROC curve, or AUC value, to evaluate the performance of the model. Furthermore, applying cross validation and grid-search methods, through designed algorithms, to build an optimization of support vector machines medical prediction model. The...
In order to achieve an accurate model of computer-aided diagnosis, an adaptive machine learning method based on fuzzy mathematics was proposed and used to develop the model. In this method, a fixed-step search algorithm was adopted to train the machine to establish the model, which is optimized through adjusting related parameters and continually increasing the value of object parameter (OPT) until...
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