Workflows: Tree ensemble, Cross validation

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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

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lisovyi
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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…

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

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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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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

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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

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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

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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

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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

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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

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knime

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Cross validation example

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Advanced Data Mining - Solution

Cross validation example

Cross validation example

Parameter Optimization and Cross Validation

Advanced Data Mining - Solution

Advanced Data Mining - Exercise