Performance Analysis of Supervised Learning Algorithms based on Classification Approach
Fazeel Ahmed Khan, Adamu Abubakar Ibrahim, Mohammad Salman Rais, Priyanka Rajpoot, Ambareen Khan, Mohammad Nishat Akhtar · 2019 IEEE 6th International Conference on Engineering Technologies and Applied Sciences (ICETAS) · 2019
Machine learning algorithm integrates with various features and methods for learning. The performance metric has a major role in determining the capacity and ability of any machine learning algorithm. The supervised approach supports learning based on predefined parameters. The classification approach classifies the set of data with labels for training and evaluation purposes. This paper applies method of supervised learning algorithm based on classification approach to analyzed in terms of performance metrics. Some algorithms were applied in the experiment process to determine the clear outcome from them. The analysis gives an outcome based on certain parameters to obtain the results to understand the ability of these algorithm and their implementation in any potential use-cases.