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Advanced Predictive Modeling Using IBM SPSS Modeler (V16) (0A035G)

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Preparing Data for Modeling

  • Addressing general data quality issues
  • Handling anomalies
  • Selecting important predictors
  • Partitioning the data to better evaluate models
  • Balancing the data to build better models

Reducing Data with PCA/Factor

  • Explain the basic ideas behind PCA/Factor
  • Customize two options in the PCA/Factor node

Using Decision List to Create Rulesets

  • Explain how Decision List builds a ruleset
  • Using Decision List interactively
  • Creating rulesets directly with Decision List

Advanced Predictive Models

  • Explain the basic ideas behind SVM
  • Customizing two options in the SVM node
  • Explain the basic ideas behind Bayes Net
  • Customizing two options in the SVM node

Combining Models

  • Using the Ensemble node to combine model predictions
  • Improving the model performance by meta-level modeling

Finding the Best Predictive Model

  • Find the best model for categorical targets
  • Find the best model for continuous targets