βœ… Quiz M7.02

βœ… Quiz M7.02#

Question

We have a dataset with patient records from 10 different hospitals, and our goal is to predict whether a patient has a disease or not. Let’s also suppose that the classes (β€œdisease” and β€œno-disease”) are imbalanced. Additionally, we suspect that each hospital’s data may have systematic biases due to factors like medical devices, policies, socioeconomic status of the patients, etc.

Which cross-validation strategy is the most suitable for assessing the model’s ability to make good predictions on patients from hospitals not seen during training?

  • a) Group stratified k-fold cross-validation

  • b) Group k-fold

  • c) Stratified k-fold cross-validation

  • d) Leave-one-out cross-validation

Select a single answer