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Cross validation
Classification Education Stable model Parameter optimization Tree ensemble Hillclimbing Machine learning Data mining ROC Curve Analytics
+2
  1. Workflow
    Cross validation example
    Tree ensemble Classification Cross validation
    +1
    This example shows how to calculate non-standard evaluation metrics on each fold and then estimate fluctuation of the performance…
    lisovyi > Public > Examples > Cross Validation example
    1
    lisovyi
  2. Workflow
    Housing Value Prediction using XGBoost for Regression
    XGBoost Regression Gradient boosting
    +5
    This workflow shows how the XGBoost nodes can be used for regression tasks. It also demonstrates a combination of parameter optim…
    knime > Examples > 04_Analytics > 16_XGBoost > 02_Housing_Value_Regression_with_XGBoost
    1
    knime
  3. Workflow
    Advanced Machine Learning - Chemistry
    Machine learning Data mining Classification
    +11
    "Advanced Machine Learning Chemistry" exercise for the advanced Life Science User Training - Training a Random Forest model to pr…
    catherineoleary > Public > L2-LS KNIME Analytics Platform for Data Scientists - Life Sciences - Advanced > Exercises > 03. Advanced Machine Learning Chemistry
    0
    catherineoleary
  4. 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
  5. 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
  6. 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
  7. 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…
    hynekc > DDL_Training > L2-DS KNIME Analytics Platform for Data Scientists - Advanced > exercises > 09. Advanced Machine Learning - Exercise
    0
    hynekc
  8. 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
  9. 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
  10. 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
  11. 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
  12. Workflow
    Group 2 Optional Steps
    Predictive Analytics Machine Learning Cross Validation
    +6
    Optional tasks for Group 2 in KNIME Data Science Learnathon - Apply a cross validation loop to a classification model - Train a c…
    maarit > University Course > Learnathon UM April 21 > Challenges > Group2_Training_Evaluation_and_Optimization > Group2_2_OPTIONAL_Steps
    0
    maarit
  13. 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
  14. Workflow
    Advanced Machine Learning - Chemistry Solution
    Machine learning Data mining Classification
    +10
    Solution to the "Advanced Machine Learning Chemistry" exercise for the advanced Life Science User Training - Training a Random Fo…
    rubiocarolina > Public > Solutions > 03. Advanced Machine Learning Chemistry - solution
    0
    rubiocarolina
  15. 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
  16. 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
  17. Workflow
    Workshop example adopted from official KNIME "Simple Model Training for Classification" example
    Model training Classification Training
    +5
    Workshop example adopted from official KNIME "Simple Model Training for Classification" example 1. Run the flow - go through all …
    zarniak > Public > 02_KNIME_Workshop_simple_ml_reset
    0
    zarniak
  18. 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…
    hynekc > DDL_Training > L2-DS KNIME Analytics Platform for Data Scientists - Advanced > solutions > 09. Advanced Machine Learning - solution
    0
    hynekc
  19. Workflow
    Cross validation example
    Tree ensemble Classification Cross validation
    +1
    This example shows how to calculate non-standard evaluation metrics on each fold and then estimate fluctuation of the performance…
    etayaa > Public > EDM_2022 > Modelo_Learning_Analytics_2022
    0
    etayaa
  20. Workflow
    Cross validation example
    Tree ensemble Classification Cross validation
    +1
    This example shows how to calculate non-standard evaluation metrics on each fold and then estimate fluctuation of the performance…
    vittoriohaardt > Public > Cross Validation example
    0
    vittoriohaardt