Analyzing the Performance of SVM and KNN in Supervised Learning for Classification

Machine Learning is one of the fastest growing areas of computer science, with far-reaching applications. In these paper, Supervised Learning is one of the tasks most frequently carried out by the Intelligent systems. Supervised Learning Algorithms as well as determines the most efficient classification algorithm based on the data set, the number of enhances and features. The main goal of this paper the overall concept of SVM and KNN algorithms using Supervised Learning Techniques.