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Model evaluation
Education Classification ROC Curve Machine learning Prediction
+4
  1. Workflow
    Evaluating Classification Model Performance
    Classification model Model evaluation Confusion matrix
    +3
    This workflow trains a classification model using the Decision Tree algorithm and evaluates its accuracy by scoring metrics, ROC …
    knime > Examples > 04_Analytics > 10_Scoring > 01_Evaluating_Classification_Model_Performance
    4
  2. Workflow
    Evaluating the Performance of a Regression Model
    Model evaluation Regression Prediction
    +10
    This workflow trains a linear regression model that predicts the amount of a credit. The performance of the linear regression mod…
    knime > Examples > 04_Analytics > 10_Scoring > 04_Evaluating_Regression_Model_Performance
    2
  3. Workflow
    Cohen's Kappa for Evaluating Classification Models
    Model evaluation Resampling Cohen's kappa
    +4
    This workflow demonstrates how Cohen's kappa can be used to evaluate the performance of a classification model when dealing with …
    knime > Examples > 04_Analytics > 10_Scoring > 05_Cohen's_Kappa_for_Evaluating_Classification_Models
    1
  4. Workflow
    Keras Autoencoder for Fraud Detection - Training
    Autoencoder Keras Neural network
    +12
    This workflow trains an autoendcoder model to detect fraudulent transactions.
    kathrin > Codeless Deep Learning with KNIME > Chapter 5 > 01_Autoencoder_for_Fraud_Detection_Training
    1
  5. Workflow
    Autoencoder MNIST MidPoint Focus
    Autoencoder Keras Neural network
    +8
    Exploring the latent space of an autoencoder for dimensional reduction
    iceman > Public > Autoencoder MNIST MidPoint Focus
    1
  6. Workflow
    Keras Autoencoder for Fraud Detection - Training
    Autoencoder Keras Neural network
    +13
    Exercise of the L4-DL Introduction to Deep Learning Course. The goal of this exercise is to train an autoencoder model to detect …
    knime > Education > Courses > L4-DL Introduction to Deep Learning > Session2 > Solutions > 01_Fraud_Detection_Training_Solution
    1
  7. Workflow
    Model Selection via WebPortal
    Guided analytics Analytics WebPortal
    +6
    This workflow creates a model selction on the webportal, where data analysts can choose a training and a test set between the dat…
    knime > Examples > 09_Enterprise > 02_WebPortal > 08_Guided_Analytics
    1
  8. Workflow
    Keras Autoencoder for Fraud Detection Training
    Autoencoder Keras Neural network
    +16
    Partition numeric input data into a training, test, and validation set. Normalize the data into range [0,1]. Build a Keras autoen…
    knime > Examples > 50_Applications > 39_Fraud_Detection > 03_Keras_Autoencoder_for_Fraud_Detection_Training
    1
  9. Workflow
    19_Confusion_Matrix_and_Class_Statistics
    E-learning Classification Confusion matrix
    +4
    E-learning course exercise. Evaluate the performance of a classification model with a confusion matrix, and class and overall acc…
    stervis > Public > E-Learning > L1-DS KNIME Analytics Platform for Data Scientists - Basics > Exercises > 19_Confusion_Matrix_and_Class_Statistics
    0
  10. Workflow
    20_ROC_Curve
    E-learning Classification ROC curve
    +3
    E-learning course exercise. Evaluate the performance of a classification model with an ROC curve.
    mavalenciaor > Public > L1-DS KNIME Analytics Platform for Data Scientists - Basics > Exercises > 20_ROC_Curve
    0
  11. Workflow
    21_Regression_Model_Evaluation
    E-learning Model evaluation R-squared
    +2
    E-learning course exercise. Evaluate the performance of a regression model.
    mavalenciaor > Public > L1-DS KNIME Analytics Platform for Data Scientists - Basics > Exercises > 21_Regression_Model_Evaluation
    0
  12. Workflow
    Advanced Machine Learning - Chemistry
    Machine learning Data mining Classification
    +11
    "Advanced Machine Learning Chemistry" exercise for the advanced Life Science User Training - Training a Random Forest model to pr…
    catherineoleary > Public > L2-LS KNIME Analytics Platform for Data Scientists - Life Sciences - Advanced > Exercises > 03. Advanced Machine Learning Chemistry
    0
  13. Workflow
    Data Mining
    Machine learning Data mining Classification
    +11
    Exercise 4 for KNIME User Training - Training a Decision Tree to predict a nominal target column - Evaluate the model performance…
    harlith1 > Public > 04. Data Mining
    0
  14. Workflow
    Data Mining
    Machine learning Data mining Classification
    +11
    Exercise 4 for KNIME User Training - Training a Decision Tree to predict a nominal target column - Evaluate the model performance…
    pau22nanda > Public > L1-DS KNIME Analytics Platform for Data Scientists - Basics > exercises > 04. Data Mining
    0
  15. Workflow
    Data Mining - Solution
    Machine learning Data mining Classification
    +11
    Exercise 4 for KNIME User Training - Training a Decision Tree to predict a nominal target column - Evaluate the model performance…
    kzhqtt > Public > L1-DS KNIME Analytics Platform for Data Scientists - Basics > solutions > 04. Data Mining - solution
    0
  16. Workflow
    Keras Autoencoder for Fraud Detection - Integrated Deployment
    Autoencoder Keras Neural network
    +13
    This workflow replicates the exercises of session 2, combining training and deployment using Integrated deployment. The purple bo…
    knime > Education > Courses > L4-DL Introduction to Deep Learning > Supplementary workflows > Autoencoder > 01_Fraud_Detection_Integrated_Deployment
    0
  17. Workflow
    Keras Autoencoder for Fraud Detection - Training
    Autoencoder Keras Neural network
    +13
    Exercise of the L4-DL Introduction to Deep Learning Course. The goal of this exercise is to train an autoencoder model to detect …
    knime > Education > Courses > L4-DL Introduction to Deep Learning > Session2 > Exercises > 01_Fraud_Detection_Training
    0
  18. Workflow
    Numeric_Scorer
    GIDS Exercise Academia
    +2
    Numeric scorer: compare performance of two regression models
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter5_Principles_of_Modeling > Numeric_Scorer_Exercise
    0
  19. Workflow
    20_ROC_Curve - Solution
    E-learning Classification ROC curve
    +3
    Solution to an e-learning course exercise. Evaluate the performance of a classification model with an ROC curve.
    mavalenciaor > Public > L1-DS KNIME Analytics Platform for Data Scientists - Basics > Solutions > 20_ROC_Curve - Solution
    0
  20. Workflow
    21_Regression_Model_Evaluation
    E-learning Model evaluation R-squared
    +2
    E-learning course exercise. Evaluate the performance of a regression model.
    stervis > Public > E-Learning > L1-DS KNIME Analytics Platform for Data Scientists - Basics > Exercises > 21_Regression_Model_Evaluation
    0