Applications of Machine Learning Algorithms and Performance Comparison: A Review
Bilal Abdualgalil, Sajimon Abraham · 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE) · 2020
Machine learning algorithms are mostly used in data classification and regression. This paper is a review of Machine learning algorithms such as Decision Tree, SVM, KNN, NB, and RF. This work compares the performance of these algorithms to find accuracy, confusion matrix, training, and prediction time. This work uses the dataset consisting of 786 instances and 8 attributes that are preprocessed and labeled using Python software.