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Duration: 2 days
Level 1
Course Overview:
A 2-day course that provides an introduction to Decision Trees, and how KnowledgeSEEKER® 5.2 can be used to build Data Profiles and Decision Tree Models in a variety of application areas. This course is intended for beginners and intermediate users, though experienced users too can benefit from it.
Course Outline:
- Introduction:
Data Mining, Best Practices
- Data Preparation:
Sampling, Pre-filtering, Creating new fields, Importing and Exporting formulas, Using Helpers
- Data Profiling:
Overview Report, Charts, Cross tabs and Correlation, Segment Viewer
- Decision Trees:
Understanding Decision Trees, Creating and shaping Trees, Modifying the attributes of the Decision Tree
- Model Evaluation:
Tree Validation, Using the Model Analyzer: Lift Curve, Cumulative Lift, K-S Statistic, Profit Curve
- Deployment and Scoring:
Code generation and Scoring Introduction to strategy trees
Course Outcome:
Upon completion of this course, you will be able to:
- Source relevant data from databases
- Prepare and profile data for analytical processing
- Build decision trees to discover meaningful relationships
- Generate or verify business rules
- Perform multi-dimensional business analysis highlighting "hot spots" and "soft spots"
- Incorporate business know-how in the analysis
- Receive a certificate of completion
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