- Try to use a weak learner model with lower bias, but avoid over-fitting.
- Ensure the training time of a weak learner is reasonably low. Because an ensemble of weak learners is used for boosting, the overall training time may be hundreds or thousands times greater than the training time of a single weak learner.
- Ensure the prediction time of a weak learner is low. The boosting prediction rate is a lot slower than a single weak learner prediction rate.
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Notice revision #20110804