a support vector based machine learning to predict the tolerance rates in the bacterial infections. It uses eps-regression and although the c-type classification can be applied if you want to predict the time variable: applying support vector machine to predict and fine tune a model to predict the tolerance rates based on the timing, age and exposure to a bacterial species.
if you change the type to c-classification and uses the time formula then it accurately predicts the onset of the bacterial rates. Data supplied online from github bioinformatics and sample data is there.
Gaurav
Academic Staff Member
Bioinformatics
Institute for Biochemistry and Biology
University of Potsdam
Potsdam,Germany