C5.0 machine learning model 2 fold cross-validation trained over COVID-19_Case_Surveillance_Public_Use_Data (https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf)
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Accuracy: 90.60%
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Checks for risk factor for a particular user of having specific age, gender, race and medical condition
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4 levels of risk factor are given (0 - minimal risk, 3 - High Risk)
Based on risk factor, the user can either visit the doctor or stay at home to avoid infections.
Link to pretrained model: https://drive.google.com/file/d/1LpNcmREdMrYKRCkulVNn-J_iIXQsIi2L/view?usp=sharing
