Predicting whether a patient is normal or abnormal using SVM. Linear and RBF kernels are used to build the classifier model. Different 'C' and 'gamma' values are chosen to tune the model.
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Updated
May 4, 2018 - Python
Predicting whether a patient is normal or abnormal using SVM. Linear and RBF kernels are used to build the classifier model. Different 'C' and 'gamma' values are chosen to tune the model.
About Analysis code associated with the development of RAS84, a curated RAS transcriptional signature.
A web application for stratification of Alzheimer's and Parkinson's disease patients
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