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
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    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
  • 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
How does ADAPA handle missing values for Decision Trees?
Illustration generated with Qwen Image.
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

The Internet of Things Could Stop Our Waterways from Dying
The Internet of Things Could Stop Our Waterways from Dying
The Practice Mentality
Social business policies
How to Unlock the Value of Your Data in Real-Time
Deciding When to Replace ERP Is Complicated

Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article is about replacing informal co-located management with deliberate asynchronous workflows
Managing a Software Development Dedicated Team Across Time Zones
Development Exclusive Software
Technical architecture diagram and decision framework for wikipedia editing services and ai training data: why llms still treat wikipedia as a source of truth
Wikipedia Editing Services and AI Training Data: Why LLMs Still Treat Wikipedia as a Source of Truth
Artificial Intelligence Exclusive
Flat editorial illustration: The article connects fragmented social-service records through shared pathways and selective informa
Turning Disconnected Information Data Into Better Social Service Outcomes
Big Data
Flat editorial illustration: The article explains how one KYC upload becomes separate records held by a verification vendor and a
What Happens to My KYC Data Behind the Approval Screen?
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

MDM Can Challenge Traditional Development Paradigms
Uncategorized

MDM Can Challenge Traditional Development Paradigms

5 Min Read
U.S. Taxpayers Fund IT Offshoring in Sri Lanka
Uncategorized

U.S. Taxpayers Fund IT Offshoring in Sri Lanka

4 Min Read
WEF Davos 2016: Top 100 CEO bloggers
Uncategorized

WEF Davos 2016: Top 100 CEO bloggers

14 Min Read
Afterthought: The third age of math
Uncategorized

Afterthought: The third age of math

4 Min Read

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

Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
ai chatbot
How AI Website Chatbots Improve Customer Support and Lead Generation
Chatbots Exclusive

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?