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Machine learning Classification KNIME Analytics Prediction Onboarding Random forest CART
  1. Workflow
    Logistic Regression
    Classification Machine learning Prediction
    +5
    This workflow is an example of how to build a basic prediction / classification model using logistic regression.
    knime > Examples > 04_Analytics > 04_Classification_and_Predictive_Modelling > 06_Logistic_Regression
    2
    knime
  2. Workflow
    Logistic Regression with Spark
    Classification Machine learning Prediction
    +5
    This workflow is builds a classification model using logistic regression in SPARK.
    knime > Examples > 10_Big_Data > 02_Spark_Executor > 15_Logistic_Regression_with_Spark
    0
    knime
  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
    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
  5. 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
  6. 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
  7. 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
  8. Workflow
    Training a Decision Tree
    Classification Machine learning Prediction
    +6
    This workflow is an example of how to build a basic prediction / classification model using a decision tree. Dataset describes wi…
    knime > Examples > 04_Analytics > 04_Classification_and_Predictive_Modelling > 07_Decision_Tree
    3
    knime
  9. Workflow
    Logistic Regression
    Classification Machine learning Prediction
    +5
    This workflow is an example of how to build a basic prediction / classification model using logistic regression.
    atomnous > Public > 04_Classification_and_Predictive_Modelling > 06_Logistic_Regression
    0
    atomnous
  10. Workflow
    Logistic Regression
    Classification Machine learning Prediction
    +5
    This workflow is an example of how to build a basic prediction / classification model using logistic regression.
    emirmkara > Public > 06_Logistic_Regression
    0
    emirmkara
  11. Workflow
    Run Jupyter in KNIME
    Jupyter and KNIME Decision Tree Classification Jupyter Integration
    +2
    This Workflow showcases how the Jupyter Notebooks can be integrated in KNIME. The Jupyter Notebook is responsible for feature tra…
    mpattadkal > Public > Jupyter Webinar > 01_Run Jupyter in KNIME > Run Jupyter in KNIME
    1
    mpattadkal
  12. Workflow
    Run Jupyter in KNIME
    Jupyter and KNIME Decision Tree Classification Jupyter Integration
    +2
    This Workflow showcases how the Jupyter Notebooks can be integrated in KNIME. The Jupyter Notebook is responsible for feature tra…
    sven_guggenmos > Public > Run Jupyter in KNIME
    0
    sven_guggenmos
  13. Workflow
    Logistic Regression
    Classification Machine learning Prediction
    +5
    This workflow is an example of how to build a basic prediction / classification model using logistic regression.
    atiquerk > Public > 06_Logistic_Regression
    0
    atiquerk
  14. Workflow
    Training a Decision Tree
    Classification Machine learning Prediction
    +6
    This workflow is an example of how to build a basic prediction / classification model using a decision tree. Dataset describes wi…
    evan1388 > Public > 07_Decision_Tree
    0
    evan1388
  15. Workflow
    Training a Decision Tree
    Classification Machine learning Prediction
    +6
    This workflow is an example of how to build a basic prediction / classification model using a decision tree. Dataset describes wi…
    atomnous > Public > 04_Classification_and_Predictive_Modelling > 07_Decision_Tree
    0
    atomnous
  16. Workflow
    Logistic Regression (verificare se si è in overfitting)
    Classification Machine learning Prediction
    +6
    Per verificare se i valori elevati di accuratezza dell'algoritmo Logistic regression non siano dovuti ad overfitting, in questa v…
    falaimo > Public > KNIME Analytics Platform per Data Scientists, corso base > 06_Logistic_Regression (check overfitting)
    0
    falaimo
  17. Workflow
    Monster Model Factory
    Process automation Database access Data preprocessing
    +8
    This workflow is based on abstract KNIME Model Factory and is adapted to Life Sciences use case. Please refer to the blogpost for…
    knime > Examples > 50_Applications > 37_Monster_Model_Factory > Factory > Model_Factory
    0
    knime
  18. Workflow
    AutoML Regression and Classification Examples
    AutoML Automated machine learning Guided analytics
    +6
    This application is a simple example of AutoML with KNIME Software for regression and classification tasks. The key of this examp…
    knime > Examples > 09_Enterprise > 04_Integrated_Deployment > 03_AutoML_Deployment > 02_AutoML_Regression_and_Classification_Examples
    3
    knime
  19. Workflow
    AutoML Classification Examples_for_KNIME_AP_ver_4_4
    AutoML Automated machine learning Guided analytics
    +4
    Originally: This application is a simple example of AutoML with KNIME Software for regression and classification tasks. The key o…
    knimest > Public > KNIMEST_JP > AutoML_Classification_Example_for_KNIME_AP_4_4
    0
    knimest
  20. 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