Question: What is one way to avoid over fitting a model? Hold back training data with known target attribute values and then compare the predicted values.

What is one way to avoid over fitting a model?
Hold back training data with known target attribute values and then compare the predicted values.
Train the model against two datasets from different time points and run the model against both.
Run the model on the full training dataset.
Keep dropping feature vectors until the model is 99% accurate.
What is one way to avoid over fitting a model? Hold

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