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Learning by Building Identification Trees - created from Mind Map

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Identification Tree
Disorder formula
From Trees to rules
a special kind of decision tree to represent property-testing procedures
one way to recognize situation by applying the sequence of tests dictated by identification tree
Occam's razor
Sprouter
one way to learn by building an identification tree, keeping it simple in harmony with Occam's razor
the smallest identification tree that is consistent with the samples is the one that is most likely to identify unknown object
procedure to generate an identification tree until each leaf node is populated by as homogeneous a sample set
One way to build a simple identification tree by using a disorder formula, borrowed from information theory, to determine which tests to include in the tree
Average disorder
Contingency Table
Default rule
Once an identification tree is built, you usually should convert it into a simple set of rules so as to make the knowledge embedded in it more comprehensible. To do the conversion, you make a rule for each path through the tree, and then you simplify the resulting set of rules. To simplify a set of rules, you first eliminate unnecessary rule antecedents using Fisher's exact test. Then, you eliminate unnecessary rules.
Table that shows the degree to which a result is contingent on a property
Rule that is to be used only if no other rule applies


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- Note on Learning by Building Identification Trees - created from Mind Map, created by Syenne Ecstexela on 11/06/2018.
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- Created by Syenne Ecstexela · Jun 11, 2018
- Copied to Note by Syenne Ecstexela · Jun 11, 2018
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