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  1. Workflow
    SVM Exercise with Parameter Optimization
    SVM Support vector machine Classification
    +4
    Exercise for SVM. Classification of 2D silhouette attributes with SVM classifier. Oprimize the c parameter for the margin hardnes…
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter9_SVM > SVM_Solution
    0
    knime
  2. Workflow
    Parameter Optimization Loop on Decision Tree Classification
    Parameter optimization Optimization Machine learning
    +3
    This workflow shows an example of parameter optimization in a decision tree. In the decision tree we optimize the minimum number …
    knime > Parameter Optimization Space > 01_Classification > 01_Parameter_Optimization_with_Nodes > 01_Parameter_Optimization_Loop_on_Decision_Tree
    0
    knime
  3. Workflow
    SVM Exercise with Parameter Optimization
    SVM Support vector machine Classification
    Exercise for SVM. Classification of 2D silhouette attributes with SVM classifier. Oprimize the c parameter for the margin hardnes…
    hayasaka > Public > SVM
    0
    hayasaka
  4. 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
  5. Workflow
    Parameter Optimization (Table) Component on MLP
    Parameter optimization Machine learning Data Science
    +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 > 05_Parameter_Optimization_(Table)_Component_on_MLP
    0
    knime
  6. Workflow
    SVM Exercise with Parameter Optimization
    SVM Support vector machine Classification
    +4
    Exercise for SVM. Classification of 2D silhouette attributes with SVM classifier. Oprimize the c parameter for the margin hardnes…
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter9_SVM > SVM_Exercise
    0
    knime
  7. 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
  8. Workflow
    Parameter Optimization (Table) Component with Range Sliders on Gradient Boosted Trees
    Parameter optimization Machine Learning Gradient Boosted Trees
    +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 > 02_Parameter_Optimization_(Table)_Component_with_Range_Sliders_on_Gradient_Boosted_Trees
    0
    knime
  9. Workflow
    Ensemble methods
    Classification Random forest Gradient boosted trees
    +7
    Ensembles: binary classification of house ranking (high/low rank). - Random forest - Gradient Boosted Trees - Training - Evaluati…
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter9_Ensemble_Methods > Ensemble_Solution
    0
    knime
  10. Workflow
    Random Forest - solution
    Classification Education
    Introduction to Machine Learning Algorithms course - Session 2 Solution to exercise 3 - Train a random forest model - Apply the m…
    knime > Education > Courses > L4-ML Introduction to Machine Learning Algorithms > Session_2 > 02_Solutions > 03_Random_Forest_solution
    0
    knime
  11. 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
  12. Workflow
    Parameter Optimization (Table) Component with Range Sliders on Multilayer Perceptron
    Parameter Optimization Machine Learning Multilayer Perceptron
    +4
    This workflow shows an example for the "Parameter Optimization (Table)" component (kni.me/c/dIpKMJbiO-3019eb) with range filters.…
    knime > Parameter Optimization Space > 01_Classification > 02_Parameter_Optimization_with_Components > 03_Parameter_Optimization_(Table)_Component_with_Range_Sliders_on_Multilayer_Perceptron
    0
    knime
  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…
    knime > Education > Courses > L2-DS KNIME Analytics Platform for Data Scientists - Advanced > solutions > 09. Advanced Machine Learning - solution
    0
    knime
  14. Workflow
    Fraud Detection by Supervised Learning
    Fraud Fraud detection Random forest
    +9
    This workflow reads in the creditcard.csv file and trains and evaluates a Logistic Regression and a Random Forest model to classi…
    knime > Education > Learnathons > Fraud_Detection_Tutorial > Solutions > 01_Fraud_Detection_by_Supervised_Learning
    0
    knime
  15. 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…
    knime > Education > Courses > L2-LS KNIME Analytics Platform for Data Scientists - Life Sciences - Advanced > Solutions > 03. Advanced Machine Learning Chemistry - solution
    0
    knime
  16. Workflow
    Random Forest - exercise
    Classification Education
    Introduction to Machine Learning Algorithms course - Session 2 Exercise 3 - Train a Random Forest model - Apply the model to the …
    knime > Education > Courses > L4-ML Introduction to Machine Learning Algorithms > Session_2 > 01_Exercises > 03_Random_Forest_exercise
    0
    knime
  17. Workflow
    Random Forest - solution
    Classification Education
    Introduction to Machine Learning Algorithms course - Session 2 Solution to exercise 3 - Train a random forest model - Apply the m…
    hayasaka > L4-ML-2Hrs-2021-07 > Solutions > 03_Random_Forest_solution
    0
    hayasaka
  18. 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
  19. Workflow
    Parameter Optimization (Table) Component on MLP
    Parameter optimization Machine learning Data Science
    +4
    This workflow shows an example for the "Parameter Optimization (Table)" component (kni.me/c/dIpKMJbiO-3019eb). The model used for…
    hasan > Public > MLP - Parameter_Optimization_Component
    0
    hasan
  20. Workflow
    titanic-rf4
    Random forest Ensemble Classification
    +4
    Random Forest including tuning (parameter optimization) and CV
    sebastian_sauer > Public > titanic-rf4
    0
    sebastian_sauer