Cross Validation – KNIME Hub

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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

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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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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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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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Workflow
Parameter Optimization Loop with Cross Validation

Parameter optimization Optimization Machine learning
+5

This workflow shows an example of parameter optimization in a logistic regression model. In the logistic regression we optimize s…

k10shetty1 > Parameter Optimization for Classification > 01_Parameter_Optimization_with_Nodes > 03_Parameter_Optimization_Loop_on_Logit_with_CV

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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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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

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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…

knime > Education > Courses > L2-DS KNIME Analytics Platform for Data Scientists - Advanced > exercises > 09. Advanced Data Mining

0
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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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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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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

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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…

catherineoleary > Public > L2-LS KNIME Analytics Platform for Data Scientists - Life Sciences - Advanced > Solutions > 03. Advanced Machine Learning Chemistry - solution

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Workflow
Group 2 Optional Steps

Predictive Analytics Machine Learning Cross Validation
+6

Solution to the optional tasks for Group 2 in KNIME Data Science Learnathon - Apply a cross validation loop to a classification m…

knime > Education > Learnathons > From_Raw_Data_To_Deployment > Learnathon-Solutions > Group2_Training_Evaluation_and_Optimization > Group2_2_Optional_Steps

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Workflow
Group 2 Optional Steps

Predictive Analytics Machine Learning Cross Validation
+6

Solution to the optional tasks for Group 2 in KNIME Data Science Learnathon - Apply a cross validation loop to a classification m…

knime > Education > Learnathons > From_Raw_Data_To_Deployment > Learnathon > Challenges > Group2_Training_Evaluation_and_Optimization > Group2_2_Optional_Steps

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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…

tenalf > Public > L2-DS KNIME Analytics Platform for Data Scientists - Advanced > exercises > 09. Advanced Data Mining

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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

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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

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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

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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 > L2-DS KNIME Analytics Platform for Data Scientists - Advanced > WA_Fn-UseC_-IT-Help-Desk > Advanced Data Mining

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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…

knime > Education > Courses > L2-LS KNIME Analytics Platform for Data Scientists - Life Sciences - Advanced > Exercises > 03. Advanced Machine Learning Chemistry

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Housing Value Prediction using XGBoost for Regression

Advanced Data Mining

Advanced Data Mining - Solution

Advanced Data Mining - Solution

Parameter Optimization Loop with Cross Validation

Advanced Data Mining

Advanced Data Mining - Solution

Advanced Data Mining

Advanced Data Mining - Solution

Advanced Data Mining - Solution

Workshop example adopted from official KNIME "Simple Model Training for Classification" example

Advanced Machine Learning - Chemistry Solution

Group 2 Optional Steps

Group 2 Optional Steps

Advanced Data Mining

Parameter Optimization and Cross Validation

Cross validation example

Group 2 Optional Steps

Advanced Data Mining - Solution

Advanced Machine Learning - Chemistry