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