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REPTREE CLASSIFIERS FOR CREDIT RISK FORECAST
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REPTREE CLASSIFIERS FOR CREDIT RISK FORECAST
- Tree based classifiers are easier to interpret and explain
fast decision tree learning algorithm
based on the principle of computing the information gain with entropy and minimizing the error arising from variance
- applies regression tree logic and generates multiple trees in altered iterations
- picks best one from all spawned trees
- constructs the regression/decision tree using variance and information gain
- prunes the tree using reduced-error pruning with back fitting method
- constructs the regression/decision tree using variance and information gain
- picks best one from all spawned trees
- applies regression tree logic and generates multiple trees in altered iterations
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- Graduate diploma Graduate Diploma in Computing (Data Mining) Mind Map on REPTREE CLASSIFIERS FOR CREDIT RISK FORECAST, created by Freda Fung on 04/11/2016.
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- Freda Fung
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