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@@ -244,3 +244,9 @@ Stochastic Gradient Boosting
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- Features are sampled (without replacement) when choosing split points.
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- Result: further ensemble diversity.
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- Effect: adding further variance to the ensemble oftrees.
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PART 5 - MODEL TUNING
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- The hyperparameters of a machine learning model are parameters that are not learned from data.
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- They should be set prior to fitting the model to the training set.
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