Machine Learning

  1. Define: What type of model will it be? A decision tree? Some other type of model? Some other parameters of the model type are specified too.
  2. Fit: Capture patterns from provided data. This is the heart of modeling.
  3. Predict: Just what it sounds like
  4. Evaluate: Determine how accurate the model's predictions are.