ML development risks · Question 25 of 60
Which mitigation helps against poor selection of the evaluation approach, for example k-fold cross-validation?
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Answer
- D ML functional performance testing
Explanation
ML functional performance testing is the mitigation against poor selection of the evaluation approach, for example k-fold cross-validation. It is also the mitigation against incorrect interpretation of test results due to the stochastic learning process.