Performance Evaluation of Machine Learning Algorithms- SVM, DT, CNN and KNN

Abstract

In today's data-rich era, digging into information and pulling out valuable insights has become crucial. Artificial intelligence, powered by smart algorithms that understand data patterns, plays a key role in making this happen. It's not just a tech thing—it's everywhere, from bioinformatics and marketing to gaming and virus detection. To figure out how well different machine learning tools like Support Vector Machines (SVM), Decision Trees (DT), and Convolutional Neural Networks (CNN) work, we did a thorough study. A comparative study was conducted to find out how accurate, precise, and reliable they are, using metrics like recall and F-score.