A Comparison with Measuring Factors among Classification Algorithms for Experiential Awareness

In this paper, we compare and analyze the accuracy of three classification algorithms with several measuring factors by using the real-value data. C4.5 Decision Tree algorithm, Naive Bayes algorithm and MLP classifier algorithm are applied to find a correlation between the score of courses. In our hypothesis, students who took the basic prerequisite courses like C, C++, Data Structure and Compiler might have better understanding on their major knowledge, probably gain higher level of the score in Database Design course. To verify our hypothesis, we apply three classification algorithms. Furthermore, by analyzing the correlation of data, our research could figure out the best performing algorithm among three so it could be used at improving accuracy of experiential awareness.