Question: Your data science team must build a binary classifier, and the number one criterion is the fastest possible scoring at deployment. It may even be deployed in real time. Which technique will produce a model that will likely be fastest for the deployment team use to new cases?

  1. random forest
  2. logistic regression
  3. KNN
  4. deep neural network

Answer: The correct answer of the above question is Option B:logistic regression