Abstract
Machine learning plays a foremost role from precedent years in illustration detection, spam restructuring, normal verbal communication commands, product suggestion, and therapeutic analysis. Present machine-learning algorithms worn for the analyzing the diseases and finding the relationships between confirmed, deaths. In the present paper, we are finding the root mean square error (RMSE) to analyze the COVID confirmed and deaths using linear regression, decision trees, random forests, proving death rates are less when compared with confirmed cases of our country India.
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© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Naga Satish, G., Raghavendran, C.V., Murali Nath, R.S. (2021). Analysis of Covid Confirmed and Death Cases Using Different ML Algorithms. In: Udgata, S.K., Sethi, S., Srirama, S.N. (eds) Intelligent Systems. Lecture Notes in Networks and Systems, vol 185. Springer, Singapore. https://doi.org/10.1007/978-981-33-6081-5_7
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DOI: https://doi.org/10.1007/978-981-33-6081-5_7
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