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Life science Bioactivity Cheminformatics Chemistry Education Integrated deployment Logistic regression
  1. Workflow
    Parameter Optimization (Table) Component with Range Sliders on Random Forest
    Parameter Optimization Machine Learning Random Forest
    +3
    This workflow shows an example for the "Parameter Optimization (Table)" component (kni.me/c/dIpKMJbiO-3019eb) with range filter. …
    knime > Parameter Optimization Space > 01_Classification > 02_Parameter_Optimization_with_Components > 04_Parameter_Optimization_(Table)_Component_with_Range_Sliders_on_Random_Forest
    0
    knime
  2. 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
  3. Workflow
    Parameter Optimization (Table) Component on Random Forest
    Parameter optimization Machine learning Random forest
    +4
    This workflow shows an example for the "Parameter Optimization (Table)" component (kni.me/c/dIpKMJbiO-3019eb). The model used for…
    knime > Parameter Optimization Space > 01_Classification > 02_Parameter_Optimization_with_Components > 01_Parameter_Optimization_(Table)_Component_on_Random_Forest
    0
    knime
  4. Workflow
    Group 2 Training, Evaluation and Optimization
    Predictive Analytics Machine Learning Parameter Optimization
    +6
    Tasks for Group 2 in KNIME Data Science Learnathon - Train a Decision Tree on the training set, and apply the model to the test s…
    maarit > University Course > Learnathon UM April 21 > Challenges > Group2_Training_Evaluation_and_Optimization > Group2_1_Training_Evaluation_and_Optimization
    0
    maarit
  5. Workflow
    Parameter Optimization Loop with Table on Random Forest Classification
    Machine learning Data science Random forest
    +1
    This workflow optimizes the parameters of a random forest. Please notice this parameter optimization loop uses a table as input t…
    knime > Parameter Optimization Space > 01_Classification > 01_Parameter_Optimization_with_Nodes > 04_Parameter_Optimization_Loop_with_Table_on_Random_Forest
    0
    knime
  6. Workflow
    Model Selection with Integrated Deployment
    Chemistry Naive bayes Random forest
    +11
    This workflow deploys an advanced parameter optimzation protocol with four machine learning methods. In this implementation the c…
    janina > Public > 2022_01_KNIME_User_Day > Model Selection with Integrated Deployment
    0
    janina
  7. Workflow
    Group 2 Training, Evaluation and Optimization
    Predictive Analytics Machine Learning Parameter Optimization
    +6
    Solution to the tasks for Group 2 in KNIME Data Science Learnathon - Train a Decision Tree on the training set, and apply the mod…
    knime > Education > Learnathons > From_Raw_Data_To_Deployment > Learnathon > Challenges > Group2_Training_Evaluation_and_Optimization > Group2_1_Training_Evaluation_and_Optimization
    0
    knime
  8. Workflow
    Group 2 Training, Evaluation and Optimization
    Predictive Analytics Machine Learning Parameter Optimization
    +6
    Solution to the tasks for Group 2 in KNIME Data Science Learnathon - Train a Decision Tree on the training set, and apply the mod…
    knime > Education > Learnathons > From_Raw_Data_To_Deployment > Learnathon-Solutions > Group2_Training_Evaluation_and_Optimization > Group2_1_Training_Evaluation_and_Optimization
    0
    knime
  9. Workflow
    Parameter Optimization Component Hardcoded on Random Forest (Legacy)
    Machine learning Data science Random forest
    +2
    This workflow shows how to use the legacy version of the parameter optimization component. This component only works out of the b…
    knime > Parameter Optimization Space > 01_Classification > 02_Parameter_Optimization_with_Components > 00_Parameter_Optimization_Component_Hardcoded_on_Random_Forest_(Legacy)
    0
    knime
  10. 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
    0
    knime
  11. Workflow
    Model Selection with Integrated Deployment
    Chemistry Naive bayes Random forest
    +11
    This workflow deploys an advanced parameter optimzation protocol with four machine learning methods. In this implementation the c…
    knime > Education > Courses > L4-CA Machine Learning for Chemical Applications > Exercises > 02_Hyperparameter Optimization
    0
    knime
  12. Workflow
    Model Selection with Integrated Deployment
    Chemistry Naive bayes Random forest
    +11
    This workflow deploys an advanced parameter optimzation protocol with four machine learning methods. In this implementation the c…
    knime > Education > Courses > L4-CA Machine Learning for Chemical Applications > Solutions > 02_Hyperparameter Optimization
    0
    knime
  13. Workflow
    Model Selection with Integrated Deployment
    Chemistry Naive bayes Random forest
    +11
    This workflow deploys an advanced parameter optimzation protocol with four machine learning methods. In this implementation the c…
    knime > Education > Courses > L4-CA Machine Learning for Chemical Applications > Solutions > 02_Hyperparameter Optimization_Bonus
    0
    knime
  14. Workflow
    Model Selection with Integrated Deployment
    Chemistry Naive bayes Random forest
    +11
    This workflow deploys an advanced parameter optimzation protocol with four machine learning methods. In this implementation the c…
    knime > Life Sciences > Events > 2020_10_Integrated_Deployment_In_Action_Webinar > Model Selection with Integrated Deployment
    0
    knime
  15. Workflow
    Advanced Machine Learning - Exercise
    Parameter optimization Random forest Machine learning
    +2
    This workflow shows a hands-on exercise in the L2-DS Introduction to KNIME Analytics Platform for Data Scientists - Advanced cour…
    knime > Education > Self-Paced Courses > L2-DS KNIME Analytics Platform for Data Scientists - Advanced > Exercises > 04 Advanced Machine Learning
    0
    knime
  16. Workflow
    Advanced Machine Learning - Exercise (Solution)
    Parameter optimization Random forest Machine learning
    +2
    This workflow shows a solution to a hands-on exercise in the L2-DS Introduction to KNIME Analytics Platform for Data Scientists -…
    knime > Education > Self-Paced Courses > L2-DS KNIME Analytics Platform for Data Scientists - Advanced > Solutions > 04 Advanced Machine Learning - Solution
    0
    knime
  17. 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…
    ioneliad > Public > ID_Workflow_Group > L2-LS KNIME Analytics Platform for Data Scientists - Life Sciences - Advanced > Exercises > 03. Advanced Machine Learning Chemistry
    0
    ioneliad