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Tree ensemble
Cross validation
Classification Education Hillclimbing Parameter optimization Stable model Intermediate
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    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
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    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
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    tenalf
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    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
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    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
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    kzhqtt
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    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
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    hynekc
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    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
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    ADILT22
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    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
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    martyna
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    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
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    martyna
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    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
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    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
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    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
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    lilipertiwi
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    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
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    lilipertiwi
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    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
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    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
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    etayaa
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    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
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    Workflow
    Parameter Optimization and Cross Validation
    Tree ensemble Classification Parameter optimization
    +4
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    julian.bunzel > Public > Small examples > Parameter Optimization and Cross Validation
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    julian.bunzel
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    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
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    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

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