• 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
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