Analysis of student’s knowledge using innovative classification and comparison of prediction accuracy with regression algorithm

To predict the student’s performance accurately using the Classification algorithm and to compare the prediction accuracy with the Regression algorithm. The student’s performance analysis was done by machine learning algorithms such as Classification and Regression. Here, pretest power analysis was carried out at 80% and sample size for one group is 20 and total sample size is 40, to attain the significance value 0.002. Here the Improved Regression Algorithm has accuracy of 93% which is more compared to Classification Algorithm accuracy (84%). Regression algorithm produce better accuracy compared with the Classification algorithm. the antenna return loss and VSWR has been minimised.