Validation: Revision history

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17 March 2023

22 February 2023

  • curprev 14:3914:39, 22 February 2023‎ Alpha5 talk contribs‎ 4,380 bytes −461‎ No edit summary
  • curprev 14:3214:32, 22 February 2023‎ Alpha5 talk contribs‎ 4,841 bytes +90‎ No edit summary
  • curprev 14:1814:18, 22 February 2023‎ Alpha5 talk contribs‎ 4,751 bytes +4,751‎ 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..."
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