Adaptive Testing and Performance Analysis Using Naive Bayes Classifier

The highlight of this paper is to demonstrate the concept of adaptive tests which are an efficient way to produce the desired result as compared to the traditional static tests. The algorithm learns to adapt to the user's knowledge, and thus, calculates the true ability of the user. Our test system also provides the user with his performance review in specific categories, thereby giving him an understanding of his current knowledge for the same. Thus, our model can improve the user‟s efficacy over a prolonged period of time.