BIBA - Performance Measures - Introduction Decision Trees
4 important questions on BIBA - Performance Measures - Introduction Decision Trees
What is a decision trees?
- Popular classification technique (Data-driven method)
What are nodes used for in decision trees?
- Conditions in the nodes give the splitting value on a predictor
- The number inside the node gives the records after the split
- The bracket provides the number of records per class: [not acceptor, acceptor]
- The leaf nodes, named terminals, are marked with color to indicate a non-acceptor (orange) or acceptor (blue)
How does the main process of classification proceed?
- Separate records into subgroups by creating splits on predictors
- Splits create logical rules that are transparent and easily understandable
- E.g., IF ... THEN Class = .
- Resulting subgroups should be more homogeneous in terms of the outcome variable
- Creating useful prediction or classification rules
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On what depends the specifying of the test condition?
- Depends on attribute type
- Nominal
- Ordinal
- Continuous
- Depends on number of ways to split
- Binary split, i.e., 2-way
- Multi-way split
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