- After the machine performs its extensive training and generates the result, how do we decide if the results are accurate?
- Machine learning for numerical/categorical data (Supervised Learning) often requires the preparation of another smaller set of data to be labelled (validation data)
- This is acceptable as the researchers already identify what class to expect from the data
