Software Project Management White Papers
Boosted Decision Trees for Project Risk Assessment and Pricing
Overview This paper presents a predictive modeling approach to project risk assessment and pricing using modern machine learning techniques, namely boosting. The paper presents a broad overview of boosting fundamentals and techniques used to build predictive classifiers. It focuses in particular on "Stumps", which are one-level decision trees, and Alternating Decision Trees (ADT), which are more complex tree models. The paper also shows how to use boosting techniques for multi-class prediction problems as well as for multi-class probability estimates.
| Publisher | IBM | File Format | PDF, requires Acrobat Rdr 5 |
|---|---|---|---|
| Date Published | February 2002 | Downloads | 850 |
| Format | White Papers | ||
| Topics | |||
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