Question

Answer the following True/False questions: T F Pruning a model will generally improve the model’s accuracy...

Answer the following True/False questions:

T F Pruning a model will generally improve the model’s accuracy on the training set.

T F Pruning can be effective at limiting the effects of noise.

T F Decision Trees are robust to irrelevant and redundant features

T F Minimum Description Length can be used to determine which pruned decision tree to choose amongst 20 alternatives?

T F A good decision tree algorithm will always find the optimal decision tree.

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Answer #1

Pruning a model will generally improve the model’s accuracy on the training set.
    >   True

Pruning can be effective at limiting the effects of noise.
    >   True
    
Decision Trees are robust to irrelevant and redundant features
    >   True
    
Minimum Description Length can be used to determine which pruned decision tree to choose amongst 20 alternatives?
    >   True
    
A good decision tree algorithm will always find the optimal decision tree.
    >   False
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