Selected article for: "mathematical model and transmission rate"
Author: Sovesh Mahapatra; Prathul Nath; Manisha Chatterjee; Neeladrisingha Das; Deepjyoti Kalita; Partha Roy; Soumitra Satapathi
Title: Repurposing Therapeutics for COVID-19: Rapid Prediction of Commercially available drugs through Machine Learning and Docking
  • Document date: 2020_4_7
    • ID: m0q7rm6z_43
    Snippet: The copyright holder for this preprint (which was not peer-reviewed) is . https://doi.org/10.1101/2020.04.05.20054254 doi: medRxiv preprint Generally, the datasets containing binary classification based on several attributes are imbalanced. We observe the similar tred here. These imbalanced datasets are not possible to be handled by the normal classifiers since they give importance to each of the attributes equally which could lead to misclassifi.....
    Document: The copyright holder for this preprint (which was not peer-reviewed) is . https://doi.org/10.1101/2020.04.05.20054254 doi: medRxiv preprint Generally, the datasets containing binary classification based on several attributes are imbalanced. We observe the similar tred here. These imbalanced datasets are not possible to be handled by the normal classifiers since they give importance to each of the attributes equally which could lead to misclassification errors. This can decrease the accuracy of the dataset for the trained model 32, 33 . Therefore, we have used the misclassification cost where the trained model becomes cost sensitive and able to find the lowest expected cost. This approach is actually much randomized because it neither depends upon the number of attributes nor on the minority class ration; rather it depends on the base classifier 34, 35 .

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