Paper Key : IRJ************752
Author: Shilpa Mathur
Date Published: 11 Jan 2023
Abstract
There may be situations wherein a model performs well on training data but not on the test data. One can also face confusion regarding the model to be used for a given problem. For example, by now, you have learnt about many classification models. Given a problem that requires classification, how would you decide which model is the best? Questions such as these frequently arise irrespective of the choice of the model, data or the problem itself. This paper discusses about Model selection criteria in Machine Learning.
DOI LINK : 10.56726/IRJMETS32850 https://www.doi.org/10.56726/IRJMETS32850