We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: How does ADAPA handle missing values for Decision Trees?
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > How does ADAPA handle missing values for Decision Trees?
Uncategorized

How does ADAPA handle missing values for Decision Trees?

MichaelZeller
MichaelZeller
1 Min Read
SHARE

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

A compliment returned by CIO.com
A compliment returned by CIO.com
Cyber Pollution: Not a Victimless Crime
Online Privacy Changes Imminent from Washington
Getting More from Analytics Through Mainframe Data Virtualization
4 Types of Data That Will Boost Your Marketing ROI

Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Best VMware Alternatives in Thailand for Private Cloud and HCI Deployments -- AI-generated illustration
Best VMware Alternatives in Thailand for Private Cloud and HCI Deployments
Cloud Computing Exclusive IT
Using Safety Metrics and Incident Data to Reduce Construction Risk and Insurance Costs -- AI-generated illustration
Using Safety Metrics and Incident Data to Reduce Construction Risk and Insurance Costs
Big Data Exclusive
How Business Intelligence Can Help Small Businesses Build Better Decision Rules -- AI-generated illustration
How Business Intelligence Can Help Small Businesses Build Better Decision Rules
Business Intelligence Business Rules Exclusive
Stellar Repair for MS SQL Review: Can It Repair SQL Databases? -- AI-generated illustration
Stellar Repair for MS SQL Review: Can It Repair SQL Databases?
Exclusive Software SQL

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

A Museum of Mathematics
Uncategorized

A Museum of Mathematics

4 Min Read
How Do I Become a Data Scientist?
Uncategorized

How Do I Become a Data Scientist?

10 Min Read

Revealed! 4 Key Big Data Jobs and How Much They Pay

7 Min Read
ETL, Data Quality and MDM for Mid-sized Business
Uncategorized

ETL, Data Quality and MDM for Mid-sized Business

5 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

From Bolts to Bots: How AI Is Fortifying the Automotive Industry
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?