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  1. 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
  2. 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
  3. 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
    0
  4. 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
  5. 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
  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…
    knime > Education > Courses > L4-CA Machine Learning for Chemical Applications > Solutions > 02_Hyperparameter Optimization_Bonus
    0
  7. 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
  8. 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
  9. 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 > Exercises > 01_Fraud_Detection_by_Supervised_Learning
    0
  10. 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
  11. 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