(New page: When the number of categories, c is big, decision tress are particularly good. Example: Consider the query "Identify the fruit" from a set of c=7 categories {watermelon, apple, grape, lem...)
 
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We shall discuss questions 1 and 2 (3 being very trivial)
 
We shall discuss questions 1 and 2 (3 being very trivial)
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Main article: [[Discussion on Question 1_OldKiwi]]
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Main article: [[Discussion on Question 2_OldKiwi]]

Revision as of 15:22, 1 April 2008

When the number of categories, c is big, decision tress are particularly good.

Example: Consider the query "Identify the fruit" from a set of c=7 categories {watermelon, apple, grape, lemon, grapefruit, banana, cherry} .

One possible decision tree based on simple queries is the following:

    • To insert the decision tree example on fruits from class**

Three crucial questions to answer

For constructing a decision tree, for a given classification problem, we have to answer these three questions

1) Which question shoud be asked at a given node -"Query Selection"

2) When should we stop asking questions and declare the node to be a leaf -"When should we stop splitting"

3) Once a node is decided to be a leaf, what category should be assigned to this leaf -"Leaf classification"

We shall discuss questions 1 and 2 (3 being very trivial)

Main article: Discussion on Question 1_OldKiwi Main article: Discussion on Question 2_OldKiwi

Alumni Liaison

Sees the importance of signal filtering in medical imaging

Dhruv Lamba, BSEE2010