a) Tree pruning is an important step in building a decision tree model. Answer the following...
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a) Tree pruning is an important step in building a decision tree model. Answer the following questions related to tree pruning: 1) Explain the purpose of tree pruning. (1 mark) 2) Explain pre-pruning and post-pruning. (2 marks) 3) Compare them to discuss their advantages and disadvantages. (2 marks) b) A data mining team would like to use random forest to improve the classification performance of their decision tree model. However, the number of attributes in their training data is relative small. Please recommend a suitable way to them to construct the random forest model and describe each step of it. (3 marks) a) Tree pruning is an important step in building a decision tree model. Answer the following questions related to tree pruning: 1) Explain the purpose of tree pruning. (1 mark) 2) Explain pre-pruning and post-pruning. (2 marks) 3) Compare them to discuss their advantages and disadvantages. (2 marks) b) A data mining team would like to use random forest to improve the classification performance of their decision tree model. However, the number of attributes in their training data is relative small. Please recommend a suitable way to them to construct the random forest model and describe each step of it. (3 marks)
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4 ANSWER GIVEN THAT 1 Pruning could be a information compression procedure in machine learning and look calculations that decreases the measure of choice trees by expelling segments of the tree that a... View the full answer
Related Book For
Fundamental Accounting Principles
ISBN: 978-0078110870
20th Edition
Authors: John J. Wild, Ken W. Shaw, Barbara Chiappetta
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