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Logistic regression
Classification Education Machine Learning Data science Decision Tree Forward feature selection Parameter optimization Analytics Mining
  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
    Attribution Models: Touch-based, Correlation and Regression, Shapley-based, and Randomized field experiments
    Marketing Analytics Attribution Models Logistic Regression
    +3
    This workflow is based on the book chapter "Attribution Modelling" by de Haan (2022). It replicates the analysis of the book chap…
    knime > Machine Learning and Marketing > Consumer Behavior > Attribution Models > Attribution Models - Touch-based, Correlation and Regression, Shapley-based, and Randomized field experiments
    2
    knime
  3. Workflow
    Overview of Credit Card Fraud Detection Techniques
    Credit card Fraud DBSCAN
    +8
    This workflow shows an overview of credit card fraud detection techniques. The performances of the techniques are evaluated on th…
    knime > Finance, Accounting, and Audit > Overview of Credit Card Fraud Detection Techniques
    2
    knime
  4. Workflow
    Analyzing Churn Models with the Binary Classification Inspector
    Machine Learning Classification Data Mining
    +7
    This workflow demonstrates the functionality of the Binary Classification Inspector node. It produces a complex view made of four…
    knime > Examples > 04_Analytics > 04_Classification_and_Predictive_Modelling > 10_Analyzing_Churn_Models_with_the_Binary_Classification_Inspector
    1
    knime
  5. Workflow
    Applying Optimized Threshold from Binary Calssification Inspector
    Machine Learning Classification Data Mining
    +7
    This workflow is made to show how to apply the threshold computed by the Binary Classification Inspector for new data. the thresh…
    paolotamag > Public > Applying_Optimized_Threshold_from_Binary_Calssification_Inspector
    1
    paolotamag
  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 > Life Sciences > Events > 2020_10_Integrated_Deployment_In_Action_Webinar > Model Selection with Integrated Deployment
    1
    knime
  7. Workflow
    06_Assessing_Effects_of_Single_Predictors_with_Delta-p
    Logistic regression Post estimation Delta-p
    +1
    This workflow calculates the Delta-p statistics based on the coefficient statistics of a logistic regression model. The Delta-p s…
    knime > Examples > 04_Analytics > 10_Scoring > 06_Assessing_Effects_of_Single_Predictors_with_Delta-p
    1
    knime
  8. Node / Learner
    Logistic Regression Learner
    Analytics Mining Logistic Regression
    Performs a multinomial logistic regression. Select in the dialog a target column (combo box on top), i.e. the response. The solve…
    0
    knime
  9. Node / Predictor
    Logistic Regression Predictor
    Analytics Mining Logistic Regression
    Predicts the response using a logistic regression model. The node needs to be connected to a logistic regression node model and s…
    0
    knime
  10. Workflow
    Logistic Regression - Solution
    Classification Logistic regression Education
    Introduction to Machine Learning Algorithms course - Session 2 Solution to exercise 4 - Train a logistic regression model - Apply…
    hayasaka > L4-ML-2Hrs-2021-07 > Solutions > 04_Logistic_Regression_solution
    0
    hayasaka
  11. Workflow
    Logistic Regression - exercise
    Classification Logistic regression Education
    Introduction to Machine Learning Algorithms course - Session 2 Exercise 4 - Train a logistic regression model - Apply the model t…
    jiyeonee > Public > L4-ML Introduction to Machine Learning Algorithms > Session_2 > 01_Exercises > 04_Logistic_Regression
    0
    jiyeonee
  12. Workflow
    Logistic Regression - solution
    Classification Logistic regression Education
    Introduction to Machine Learning Algorithms course - Session 2 Solution to exercise 4 - Train a logistic regression model - Apply…
    jiyeonee > Public > L4-ML Introduction to Machine Learning Algorithms > Session_2 > 02_Solutions > 04_Logistic_Regression_solution
    0
    jiyeonee
  13. Workflow
    Feature Selection - exercise
    Forward feature selection Classification Logistic regression
    +1
    Introduction to Machine Learning Algorithms course - Session 4 Exercise 5 - Combine previously splitted train and test set - Sear…
    hayasaka > KNIME Spring Summit Training 2023 > L4-ML Introduction to Machine Learning Algorithms > Session_4 > 01_Exercises > 05_Feature_Selection_exercise
    0
    hayasaka
  14. Workflow
    Logistic Regression - exercise
    Classification Logistic regression Education
    Introduction to Machine Learning Algorithms course - Session 2 Exercise 4 - Train a logistic regression model - Apply the model t…
    hayasaka > KNIME Spring Summit Training 2023 > L4-ML Introduction to Machine Learning Algorithms > Session_2 > 01_Exercises > 04_Logistic_Regression_exercise
    0
    hayasaka
  15. 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
  16. 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
  17. Workflow
    Feature Selection - solution
    Forward feature selection Classification Logistic regression
    +1
    Introduction to Machine Learning Algorithms course - Session 4 Solution to exercise 5 - Combine previously splitted training and …
    hayasaka > KNIME Spring Summit Training 2023 > L4-ML Introduction to Machine Learning Algorithms > Session_4 > 02_Solutions > 05_Feature_Selection_solution
    0
    hayasaka
  18. Workflow
    Logistic Regression
    TheGuideBook Classification Logistic Regression
    +1
    Using the adult dataset, this workflow performs binary classification using a Logistic Regression. The target is the income colum…
    knime > Academic Alliance > Guide to Intelligent Data Science > Example Workflows > Chapter8 > 03_LogisticRegression
    0
    knime
  19. Workflow
    Impact of Regularization in case of Logistic Regression
    Regularization Gauss Laplace
    +5
    The goal of this workflow is to analyze the impact of different priors in case of the logistic regression. The workflow therefore…
    atomnous > Public > 04_Classification_and_Predictive_Modelling > 08_Regularized_Logistic_Regression
    0
    atomnous
  20. Workflow
    Logistic Regression
    Classification Logistic regression Education
    Introduction to Machine Learning Algorithms course - Session 2 Exercise 4 - Train a logistic regression model - Apply the model t…
    hayasaka > L4-ML-2Hrs-2021-07 > Exercises > 04_Logistic_Regression
    0
    hayasaka