Hub
Pricing About
  • Software
  • Blog
  • Forum
  • Events
  • Documentation
  • About KNIME
  • KNIME Community Hub
  • Search

13 results

Filter
Tree ensemble
Classification
Education
Hillclimbing
Cross validation Parameter optimization Stable model
  1. Go to item
    Workflow
    Advanced Data Mining
    Tree ensemble Classification Parameter optimization
    +4
    Exercise 10 for KNIME User Training - Training a Random Forest model to predict a nominal target column - Evaluating the performa…
    tenalf > Public > L2-DS KNIME Analytics Platform for Data Scientists - Advanced > exercises > 09. Advanced Data Mining
    0
    tenalf
  2. Go to item
    Workflow
    Advanced Data Mining - Solution
    Tree ensemble Classification Parameter optimization
    +4
    Solution to the exercise 10 for KNIME User Training - Training a Random Forest model to predict a nominal target column - Evaluat…
    kzhqtt > Public > L2-DS KNIME Analytics Platform for Data Scientists - Advanced > WA_Fn-UseC_-IT-Help-Desk > Advanced Data Mining
    0
    kzhqtt
  3. Go to item
    Workflow
    Advanced Data Mining - Solution
    Tree ensemble Classification Parameter optimization
    +4
    Solution to the exercise 10 for KNIME User Training - Training a Random Forest model to predict a nominal target column - Evaluat…
    tenalf > Public > L2-DS KNIME Analytics Platform for Data Scientists - Advanced > solutions > 09. Advanced Data Mining - solution
    0
    tenalf
  4. Go to item
    Workflow
    Advanced Data Mining - Solution
    Tree ensemble Classification Parameter optimization
    +4
    Solution to the exercise 10 for KNIME User Training - Training a Random Forest model to predict a nominal target column - Evaluat…
    lilipertiwi > Public > KNIMEUserTraining > solutions > 09. Advanced Data Mining - solution
    0
    lilipertiwi
  5. Go to item
    Workflow
    Advanced Data Mining - Solution
    Tree ensemble Classification Parameter optimization
    +4
    Solution to the exercise 10 for KNIME User Training - Training a Random Forest model to predict a nominal target column - Evaluat…
    martyna > Training > L2-DS Training > solutions > 05. Advanced Data Mining - solution
    0
    martyna
  6. Go to item
    Workflow
    Advanced Data Mining
    Tree ensemble Classification Parameter optimization
    +4
    Exercise 10 for KNIME User Training - Training a Random Forest model to predict a nominal target column - Evaluating the performa…
    martyna > Training > L2-DS Training > exercises > 05. Advanced Data Mining
    0
    martyna
  7. Go to item
    Workflow
    Advanced Data Mining - Solution
    Tree ensemble Classification Parameter optimization
    +4
    Solution to the exercise 10 for KNIME User Training - Training a Random Forest model to predict a nominal target column - Evaluat…
    kzhqtt > Public > WA_Fn-UseC_-IT-Help-Desk > Advanced Data Mining
    0
    kzhqtt
  8. Go to item
    Workflow
    Advanced Data Mining
    Tree ensemble Classification Parameter optimization
    +4
    Exercise 10 for KNIME User Training - Training a Random Forest model to predict a nominal target column - Evaluating the performa…
    lilipertiwi > Public > KNIMEUserTraining > exercises > 09. Advanced Data Mining
    0
    lilipertiwi
  9. Go to item
    Workflow
    Advanced Data Mining - Solution
    Tree ensemble Classification Parameter optimization
    +4
    Solution to the exercise 10 for KNIME User Training - Training a Random Forest model to predict a nominal target column - Evaluat…
    knime > Education > Courses > L2-DS KNIME Analytics Platform for Data Scientists - Advanced > solutions > 09. Advanced Machine Learning - solution
    0
    knime
  10. Go to item
    Workflow
    Advanced Data Mining - Exercise
    Tree ensemble Classification Parameter optimization
    +4
    Exercise 10 for KNIME User Training - Training a Random Forest model to predict a nominal target column - Evaluating the performa…
    knime > Education > Courses > L2-DS KNIME Analytics Platform for Data Scientists - Advanced > exercises > 09. Advanced Machine Learning - Exercise
    0
    knime
  11. Go to item
    Workflow
    Parameter Optimization and Cross Validation
    Tree ensemble Classification Parameter optimization
    +4
    There has been no description set for this workflow's metadata.
    julian.bunzel > Public > Small examples > Parameter Optimization and Cross Validation
    0
    julian.bunzel
  12. Go to item
    Workflow
    Advanced Data Mining - Solution
    Tree ensemble Classification Parameter optimization
    +4
    Solution to the exercise 10 for KNIME User Training - Training a Random Forest model to predict a nominal target column - Evaluat…
    ADILT22 > Course Material - Codefree Introduction to Data Science > VL10 - Ensemble > Workflows > cross validation demo
    0
    ADILT22
  13. Go to item
    Workflow
    Advanced Data Mining - Solution
    Tree ensemble Classification Parameter optimization
    +4
    Solution to the exercise 10 for KNIME User Training - Training a Random Forest model to predict a nominal target column - Evaluat…
    ADILT22 > Course Material - Codefree Introduction to Data Science > VL10 - Ensemble > Workflows > parameter optimization demo
    0
    ADILT22

KNIME
Open for Innovation

KNIME AG
Talacker 50
8001 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • E-Learning course
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • KNIME Open Source Story
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more on KNIME Business Hub
© 2023 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Credits