Volume - 13 | Issue-1
Volume - 13 | Issue-1
Volume - 13 | Issue-1
Volume - 13 | Issue-1
Volume - 13 | Issue-1
Aim: The research is to show that An Efficient analysis of spread of covid-19 and prediction in India using Novel Convolutional Neural Network in comparison to Naive Bayes Algorithm. Materials and Methods: Novel Convolutional Neural Network algorithm and Naive Bayes algorithm have been used in this research. By using the G-power software sample size is calculated and 10 sample values are taken from per group pretest value is 87%. Results: Novel Convolutional Neural Network machine learning algorithm has provided 89% compared to Naive Bayes algorithm with 88% in the prediction of covid-19 in India with improved accuracy. There is a significant difference between the study groups with p=0.0001(p<0.001, 2 tailed). Conclusion: Novel Convolutional neural Network algorithm provides more accuracy than Naive Bayes algorithm.