Following are the key problems related with learning algorithm that are described later in this article:
The challenge is to identify whether the learning algorithm is having one of the following:
Following technique can be used to identify the case of high bias (under-fitting) or high variance (over-fitting) given that the data set is split into training, cross-validation set and test set and, training dataset is used to determine the parameters that makes the best fit (least error value).
Last updated: 3rd May, 2024 Have you ever wondered why some machine learning models perform…
Last updated: 2nd May, 2024 The success of machine learning models often depends on the…
When working on a machine learning project, one of the key challenges faced by data…
Last updated: 1st May, 2024 The bias-variance trade-off is a fundamental concept in machine learning…
Last updated: 1st May, 2024 As a data scientist, understanding the nuances of various cost…
Last updated: 1st May, 2024 In this post, you will learn the concepts related to…