Improving Model Accuracy
Obtaining a ML model that matches your needs usually involves iterating through this ML process and trying out a few variations. You might not get a very predictive model in the first iteration, or you might want to improve your model to get even better predictions. To improve performance, you could iterate through these steps:
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Collect data: Increase the number of training examples
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Feature processing: Add more variables and better feature processing
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Model parameter tuning: Consider alternate values for the training parameters used by your learning algorithm
