What is the significance of the tolerance parameter in SVM? How does a smaller tolerance value affect the optimization process?
Monday, 07 August 2023
by EITCA Academy
The tolerance parameter in Support Vector Machines (SVM) is a important parameter that plays a significant role in the optimization process of the algorithm. SVM is a popular machine learning algorithm used for both classification and regression tasks. It aims to find an optimal hyperplane that separates the data points of different classes with the
- Published in Artificial Intelligence, EITC/AI/MLP Machine Learning with Python, Support vector machine, SVM parameters, Examination review
Tagged under:
Artificial Intelligence, Machine Learning, Optimization, Support Vector Machines, SVM, Tolerance Parameter