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. Oct 2, 2020 · Minimal Cost-Complexity Pruning is one of the types of Pruning of Decision Trees.
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  • 5 pruning method follows these steps: Grow a tree from the training data table, and call this full, unpruned tree.
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    Minimal Cost-Complexity Pruning¶ Minimal cost-complexity pruning is an algorithm used to prune a tree to avoid over-fitting, described in Chapter 3 of [BRE].

  • Minimal Cost-Complexity Pruning is one of the types of Pruning of Decision Trees.
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    Cost complexity pruning provides another option to control the size of a tree.

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  • Cost complexity pruning provides another option to control the size of a tree.
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    4: Creating a Binary Classification Tree with Validation Data; Example 15.

  • In DecisionTreeClassifier, this pruning technique is parameterized by the cost.
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