Nowadays Machine Learning is the most useful area for students and researchers for classification and prediction by using the machine learning algorithms. In this four kinds of algorithms are available. Those are supervised, unsupervised, semi-supervised and reinforcement algorithms. In this paper is compared the already existed KNN algorithm and a new Dynamic KNN algorithm with some case studies in order to show the accuracy. Dynamic KNN algorithm is an improvised version of KNN only. One of the significant factors that affect the accuracy of the model is the value of K. Fundamentally; the value of K is fixed for all data points. In this study, the value is calculated at the local level for all test points. This study performs a comparative study between suggested model and the traditional KNN model.