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Didacticiel - tudes de cas R.R. 1 Subject Using cross-validation for the performance evaluation of decision trees with R KNIME and RAPIDMINER. This paper takes one of our old study on the implementation of cross-validation for assessing the performance of decision trees.
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Cross validation for form is a process of evaluating and verifying the accuracy and validity of the data entered in a form by comparing it with another source or method of measurement to ensure consistency and reliability.
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The information reported on cross validation for form includes the identified discrepancies or errors found during the validation process, the corresponding corrections made, and the overall assessment of the accuracy and reliability of the data.
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