4. Building the Model - Deepstash
4. Building the Model

4. Building the Model

  • Define the features of the model.
  • Use the same features for both Training and Testing the model
  • Collaborate closely with Subject Matter Experts 
  • Be wary of "Curse of Dimensionality" - do not use unnecessary and irrelevant features that reduces the model accuracy
  • Choose suitable Algorithms
  • Consider Model interpretability - Predictions and Decisions should be clearly explainable

For Improving Results:

  • Tune the hyperparameters or algorithm parameters like no. of trees of Random Forest or no. of layers in a Neural Network
  • Use pre-trained models, reuse them to build new models
  • Version each iteration


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