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ROC
Decision Tree Education Error metric Linear regression R-squared Scoring metrics Machine Learning Bag of Models
  1. Workflow
    ML Prototyping for Bioactivity Data
    Cheminformatics Webportal Data Visualization
    +7
    This workflow demonstrates model building for a bioactivity data set with several machine learning methods and binary fingerprint…
    knime > Life Sciences > Events > 2021_03_03_Cheminformatics_with_KNIME_Webinar > ML Prototyping for Bioactivity Data
    7
    knime
  2. Workflow
    Active Learning with Body Mass Index Heuristic
    Active learning Potential density Uncertainty
    +14
    This workflow uses a simple example to demonstrate one possible structure for an active learning application and compares the eff…
    paolotamag > Public > 04_Active_Learning_with_Body_Mass_Index
    1
    paolotamag
  3. Workflow
    Evotec_StructureBasedVirtualScreening_Calibration
    Decoy Sbvs Calibration
    +6
    Workflow for Structure-based Virtual Screening calibration There are two main parts 1) decoy generation 2) docking evaluation usi…
    emilie_pihan > Evotec > Evotec_StructureBasedVirtualScreening_Calibration
    1
    emilie_pihan
  4. Workflow
    Machine Learning - Exercise (Solution)
    R-squared Error metric Linear regression
    +4
    This workflow shows a solution to a hands-on exercise in the L1-DS Introduction to KNIME Analytics Platform for Data Scientists -…
    mmays > Public > L1-DS KNIME Analytics Platform for Data Scientists - Basics > Solutions > 05 Machine Learning - Solution
    0
    mmays
  5. Workflow
    Machine Learning - Exercise
    R-squared Error metric Linear regression
    +4
    This workflow shows a hands-on exercise in the L1-DS Introduction to KNIME Analytics Platform for Data Scientists - Basics course
    adeelmunawar > Public > L1-DS KNIME Analytics Platform for Data Scientists - Basics > Exercises > 05 Machine Learning
    0
    adeelmunawar
  6. Workflow
    Machine Learning - Exercise (Solution)
    R-squared Error metric Linear regression
    +4
    This workflow shows a solution to a hands-on exercise in the L1-DS Introduction to KNIME Analytics Platform for Data Scientists -…
    adeelmunawar > Public > L1-DS KNIME Analytics Platform for Data Scientists - Basics > Solutions > 05 Machine Learning - Solution
    0
    adeelmunawar
  7. Workflow
    Machine Learning - Exercise (Solution)
    R-squared Error metric Linear regression
    +4
    This workflow shows a solution to a hands-on exercise in the L1-DS Introduction to KNIME Analytics Platform for Data Scientists -…
    gianvito99 > Public > L1-DS KNIME Analytics Platform for Data Scientists - Basics > Solutions > 05 Machine Learning - Solution
    0
    gianvito99
  8. Workflow
    Machine Learning - Exercise
    R-squared Error metric Linear regression
    +4
    This workflow shows a hands-on exercise in the L1-DS Introduction to KNIME Analytics Platform for Data Scientists - Basics course
    mmays > Public > L1-DS KNIME Analytics Platform for Data Scientists - Basics > Exercises > 05 Machine Learning
    0
    mmays
  9. Workflow
    Machine Learning - Exercise (Solution)
    R-squared Error metric Linear regression
    +4
    This workflow shows a solution to a hands-on exercise in the L1-DS Introduction to KNIME Analytics Platform for Data Scientists -…
    diegomm95 > Public > L1-DS KNIME Analytics Platform for Data Scientists - Basics > Solutions > 05 Machine Learning - Solution
    0
    diegomm95
  10. 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
  11. Workflow
    Machine Learning - Exercise
    R-squared Error metric Linear regression
    +4
    This workflow shows a hands-on exercise in the L1-DS Introduction to KNIME Analytics Platform for Data Scientists - Basics course
    ruchira_k > Public > L1-DS KNIME Analytics Platform for Data Scientists - Basics > Exercises > 05 Machine Learning
    0
    ruchira_k
  12. Workflow
    Machine Learning - Exercise
    R-squared Error metric Linear regression
    +4
    This workflow shows a hands-on exercise in the L1-DS Introduction to KNIME Analytics Platform for Data Scientists - Basics course
    selvase > Public > L1-DS KNIME Analytics Platform for Data Scientists - Basics > Exercises > 05 Machine Learning
    0
    selvase
  13. 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
  14. Workflow
    Active Learning with Basic SVM Model
    Active learning Potential density Uncertainty
    +12
    This workflow uses a simple example to demonstrate one possible structure for an active learning application and compares the eff…
    ngohienduong > Public > 04_Active_Learning_with_basic_SVM
    0
    ngohienduong
  15. Workflow
    ML Prototyping for Bioactivity Data
    Cheminformatics Webportal Data Visualization
    +7
    This workflow demonstrates model building for a bioactivity data set with several machine learning methods and binary fingerprint…
    urbanl > Public > ML Prototyping for Bioactivity Data
    0
    urbanl
  16. Workflow
    Machine Learning - Exercise (Solution)
    R-squared Error metric Linear regression
    +4
    This workflow shows a solution to a hands-on exercise in the L1-DS Introduction to KNIME Analytics Platform for Data Scientists -…
    selvase > Public > L1-DS KNIME Analytics Platform for Data Scientists - Basics > Solutions > 05 Machine Learning - Solution
    0
    selvase
  17. 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
  18. Workflow
    Machine Learning - Exercise (Solution)
    R-squared Error metric Linear regression
    +4
    This workflow shows a solution to a hands-on exercise in the L1-DS Introduction to KNIME Analytics Platform for Data Scientists -…
    ruchira_k > Public > L1-DS KNIME Analytics Platform for Data Scientists - Basics > Solutions > 05 Machine Learning - Solution
    0
    ruchira_k
  19. Workflow
    Training and Testing a Model (decision tree)
    TheGuideBook Decision tree Testing
    +11
    This workflow shows how to train and test a basic classification model. Using the adult dataset, a decision tree is trained and t…
    knime > Academic Alliance > Guide to Intelligent Data Science > Example Workflows > Chapter5 > 01_CrossValidation_Scorer_ROC
    0
    knime
  20. Workflow
    xgboost parameter tuning and handling large datasets
    Xgboost Handling large datasets ROC
    +5
    This example demonstrates following: 1. Handling Large datasets in KNIME--Setting Memory Policy 2. Feature Engineering 3. ROC cur…
    ashokharnal > Collection of Components and Workflows > xgboost parameter tuning using Bayes Optimization > xgboost parameter tuning (maximise ROC) using Bayes Optimization
    0
    ashokharnal