Covid-19 severity classification using supervised learning approach
This paper presented work on supervised machine learning techniques using K-NN, Linear SVM, Naïve Bayes, Decision Tree (J48), Ada Boost, Bagging and Stacking for the purpose to classify the severity group of covid-19 symptoms. The data was obtained from Kaggle dataset, which was obtained through a s...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2021
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| Subjects: |