What is sensitivity analysis? Is it better to have low sensitivity (that is, great robustness) and low predictive power, or the other way around? How to perform good cross-validation? What do you think about the idea of injecting noise in your data set to test the sensitivity of your models?

Data Science Interview Questions › Category: Data Science › What is sensitivity analysis? Is it better to have low sensitivity (that is, great robustness) and low predictive power, or the other way around? How to perform good cross-validation? What do you think about the idea of injecting noise in your data set to test the sensitivity of your models?
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MockInterview Staff asked 6 years ago

Source: Data Science Central

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MockInterview Staff answered 6 years ago

What do you think about the idea of injecting noise in your data set to test the sensitivity of your models?

  • Effect would be similar to regularization: avoid overfitting
  • Used to increase robustness

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