K Fold Cross Validation

  • K fold Cross Validation is used when the amount of data is so small that we can't get unseen dev data
  • Steps:
    • Divide the data in K parts
    • For each iteration
      • Use K-1 to train
      • And the other part to validate
    • Take the average of all iterations
  • Common value of K = 10