How does ADAPA handle missing values for Decision Trees?

PMML 3.2 offers many different strategies for the handling of missing values in Decision Trees. ADAPA supports all of them. These are:

• lastPrediction
• nullPrediction
• defaultChild
• weightedConfidence
• aggregateNodes
• none (default strategy)

For information on each strategy, please visit the PMML 3.2 Decision Trees specification page at the Data Mining Group website.

Comprehensive blog featuring topics related to predictive analytics with an emphasis on open standards, Predictive Model Markup Language (PMML), cloud computing, as well as the deployment and integration of predictive models in any business process.

More Read

Actian DataFlow, the Little Hadoop Engine That Could, But Probably Won’t

Deciding When to Replace ERP Is Complicated

Marketers Using Social Media: Do they Get it or are they Panicking?

New Tools, Same Problems on IT Projects

Are Phablets Finally Here?

Link to original post