Interface administrators, Administrators (Semantic MediaWiki), Curators (Semantic MediaWiki), Editors (Semantic MediaWiki), Suppressors, Administrators
7,785
edits
Validation: Difference between revisions
Created page with "{{see also|Machine learning terms}} ===Introduction== Machine learning practitioners understand the importance of validation as one of the key steps in developing a predictive model. Validation measures the accuracy and dependability of a trained model by applying it to new data sets, with an aim of estimating its likely performance when applied. ==Training and Testing Data== Validating a machine learning model requires labeled data that can be used for training and tes..."
(Created page with "{{see also|Machine learning terms}} ===Introduction== Machine learning practitioners understand the importance of validation as one of the key steps in developing a predictive model. Validation measures the accuracy and dependability of a trained model by applying it to new data sets, with an aim of estimating its likely performance when applied. ==Training and Testing Data== Validating a machine learning model requires labeled data that can be used for training and tes...") |
(No difference)
|