Karteikarten
Classification Tree
Karten in diesem Stapel (10)
- 1what are decision trees?tree like graph used for predicting the value of response variable using the predictor variables
- 2what is classification treeeresponse variable is discrete
- 3procedurestart with root node;
subdivide into 2 or more nodes (leaf nodes)
continue until no further subdivision possible (terminal node)
or until the stopping criteria is reached
terminal nodes are used for generating business rules - 4what is CARTclassification based on GINI index or entropy
CART is binary tree;
CHAID can divide into more than 2 nodes - 5what is the logic of classification treemaximize the reduction in impurity
- 6GINI Indexfor binary tree:
2*p0*p1 - 7GINI index at a level with 2 nodespl* 2*p0*p1 + pr*2*p0*p1
- 8how does CHAID work?examines the predictor variables and uses them in the order of their statistical significance
- 9how does CHAID splitting workcontinuous Y - F-test
categorical Y - chi-square test of independence
ordinal Y- likelihood ratio test - 10CHAID procedureexamine each predictor variable for statistical significance using the chi-square test
identify the most significant predictor variable
divide data by using levels of the above significant predictor variable
for each subgroup, determine the most significant predictor variable again
Divide the data again
repeat step 4 until stopping criteria is reached
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- asd Business Analytics Karteikarten am Classification Tree, erstellt von Mukundhan Srinivasan am 27/04/2016.
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- Mukundhan Srinivasan
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