To perform the following above task we divided the two author’s data into 30 variable length size block of A and B. For classification we applied Function, Meta, Lazy, Rule and Tree classifiers. In our experiment we measured the performance of classification in MAE, RMSE values.
We compare the result of various classifiers on MAE and RMSE values. Table 1 shows the result of various classification techniques with 38 features set. We applied 10 fold cross validation in which we observed that LWL, Logiboost performed best among them. MAE and RMSE values are 0 for LWL and got 96.667 accuracy so it is ranked first position followed by Logiboost and KStar. For test results Simple Logistic and KStar have 100% accuracy shown in table 2.
Copyright 2019 - Education WordPress Theme.