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Introduction to Predictive Modeling (Chapter 3 (Supervised Segmentation…
Introduction to Predictive Modeling (Chapter 3
Models, Induction, and Prediction
Prediction (estimating value)
Predictors
Attributes or features
Descriptive Modeling
Variables
Explanatory
Dependent
Independent
Target
Instances or examlples
Attribute Selection
Resulting groups
Pure
Homogenous
Impure
Information gain
Enthropy
Properties
Numeric Variables
Parents
Entropy Graphs
Supervised Segmentation
Tree
Nodes
Interior
Terminal
Leaf
Root
Decision Tree
Supervised = Tree
Probability Estimation
Regression
Tree induction
Recursively applying
Probability Estimation
Overfitting
Classification tree
How good are variables individually?
How good independently are they?
Accuracy