Study of Different Types of Evaluation Methods in Classification and Regression
Snehal Gadge, Aarti M. Karande · 2022 IEEE Region 10 Symposium (TENSYMP) · 2022
Machine learning is used to analyze the data and predict the results depending upon the features. As per the problem statement, selecting the best machine learning technique is a challenge. This paper lists and compares various evaluation methods in machine learning which can help us to find the best technique according to our required application. List of errors are presented in tree diagrams which are usually used for regression and classification. Depending on the model proposed, we can choose a technique to evaluate. The paper discusses evaluation techniques in detail which can help us to choose the most efficient machine learning model.