Validation set: Revision history

Diff selection: Mark the radio buttons of the revisions to compare and hit enter or the button at the bottom.
Legend: (cur) = difference with latest revision, (prev) = difference with preceding revision, m = minor edit.

17 March 2023

22 February 2023

  • curprev 14:1814:18, 22 February 2023Alpha5 talk contribs 2,331 bytes −1 No edit summary
  • curprev 14:1814:18, 22 February 2023Alpha5 talk contribs 2,332 bytes −1,199 No edit summary
  • curprev 13:4913:49, 22 February 2023Alpha5 talk contribs 3,531 bytes +3,531 Created page with "{{see also|Machine learning terms}} ===Introduction== Machine learning aims to construct predictive models that can accurately forecast new and unseen data. Training a machine learning model involves teaching it labeled data so it can learn patterns and relationships within it; however, after training the model, evaluation of its performance on unlabeled datasets must take place - this is where validation sets come into play. ==What is a validation set?== Validation set..."