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Classification Education Hillclimbing Parameter optimization Stable model Intermediate
  1. 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 Data Mining
    0
    hayasaka
  2. 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. 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
  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…
    martyna > Training > L2-DS Training > solutions > 05. Advanced Data Mining - solution
    0
    martyna
  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…
    martyna > Training > L2-DS Training > exercises > 05. Advanced Data Mining
    0
    martyna
  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…
    knime > Education > Courses > L2-DS KNIME Analytics Platform for Data Scientists - Advanced > solutions > 09. Advanced Data Mining - solution
    0
    hayasaka
  7. 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
  8. 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
  9. 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
    0
    lisovyi
  10. 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
  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…
    lilipertiwi > Public > KNIMEUserTraining > solutions > 09. Advanced Data Mining - solution
    0
    lilipertiwi
  12. 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
  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