Answers for "using cross validation knime"

7

cross validation

Cross-validation is a resampling procedure used to evaluate machine learning models on a limited data sample. The procedure has a single parameter called k that refers to the number of groups that a given data sample is to be split into. As such, the procedure is often called k-fold cross-validation.
Posted by: Guest on August-16-2020
0

cross validation error

ModuleNotFoundError: No module named 'sklearn.cross_validation'
Posted by: Guest on June-14-2020

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