Posted: May 27th, 2022

Describe how classification trees work.

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Learn the required content of this unit, and conduct your research to answer the following questions in this discussion forum:
Describe how classification trees work.
Describe the overfitting and underfitting problems?
Compare and contrast various ways to choose the optimum size of the tree?
Provide unique examples of business situations that you would use classification trees for making decisions such as classifying your potential customers.
Describe when what are the advantages and disadvantages of using Naive Bayes Classifier or KNN vs classification trees.
Videos
Topic Access
Decision Tree 1: how it works (9 min) https://www.youtube.com/watch?v=eKD5gxPPeY0
Decision Tree (CART) – Machine Learning Fun and Easy (9 min) https://www.youtube.com/watch?v=DCZ3tsQIoGU
Decision Tree In R (46 min) https://www.youtube.com/watch?v=HmEPCEXn-ZM
Pruning Classification trees using cv.tree ( 15 min) https://www.youtube.com/watch?v=GOJN9SKl_OE
Machine Learning and Decision Trees ( first 15 minutes ) https://www.youtube.com/watch?v=RmajweUFKvM
Random Forest (27 min) https://www.youtube.com/watch?v=HeTT73WxKIc
Articles
Medium Topic Access
Tutorial Classification Trees https://daviddalpiaz.github.io/r4sl/trees.html
Tutorial A Complete Guide on Decision Tree Algorithm https://www.edureka.co/blog/decision-tree-algorithm/
Tutorial Decision Tree: How To Create A Perfect Decision Tree? https://www.edureka.co/blog/decision-trees/
Tutorial What is Overfitting In Machine Learning And How To Avoid It? https://www.edureka.co/blog/overfitting-in-machine-learning/
Tutorial Decision Tree in R with Example https://www.guru99.com/r-decision-trees.html
Tutorial Decision Tree and Random Forests https://www.analyticsvidhya.com/blog/2016/02/complete-tutorial-learn-data-science-scratch/
Tutorial Classification & Regression Trees http://www.di.fc.ul.pt/~jpn/r/tree/tree.html

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