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Model evaluation AuC ROC curve Accuracy Class statistics Confusion matrix Decision tree
  1. Workflow
    19_Confusion_Matrix_and_Class_Statistics - Solution
    E-learning Classification Model evaluation
    +4
    Solution to an e-learning course exercise. Evaluate the performance of a classification model with a confusion matrix, and class …
    mavalenciaor > Public > L1-DS KNIME Analytics Platform for Data Scientists - Basics > Solutions > 19_Confusion_Matrix_and_Class_Statistics - Solution
    0
    mavalenciaor
  2. Workflow
    18_Decision_Tree - Solution
    E-learning Classification Decision tree
    +1
    Solution to an e-learning course exercise. Train a decision tree. Change the algorithm settings to improve the classification acc…
    a2620 > Public > L1-DS KNIME Analytics Platform for Data Scientists - Basics > Solutions > 18_Decision_Tree - Solution
    0
    a2620
  3. Workflow
    06_Random_Forest
    E-learning Classification Tree ensemble
    +2
    E-learning course exercise. Train a Random Forest model to predict letters based on their image characteristics.
    stervis > Public > E-Learning > L2-DS KNIME Analytics Platform for Data Scientists - Advanced > Exercises > 06_Random_Forest
    0
    stervis
  4. Workflow
    06_Random_Forest - Solution
    E-learning Classification Tree ensemble
    +2
    Solution to an e-learning course exercise. Train a Random Forest model to predict letters based on their image characteristics.
    stervis > Public > E-Learning > L2-DS KNIME Analytics Platform for Data Scientists - Advanced > Solutions > 06_Random_Forest - Solution
    0
    stervis
  5. Workflow
    06_Random_Forest
    E-learning Classification Tree ensemble
    +2
    E-learning course exercise. Train a Random Forest model to predict letters based on their image characteristics.
    burdhasp > Public > Exercises - L2-DS KNIME Analytics Platform for Data Scientists - Advanced > Exercises > 06_Random_Forest
    0
    burdhasp
  6. Workflow
    17_Logistic_Regression
    E-learning Logistic regression Classification
    +1
    E-learning course exercise. Train a logistic regression model.
    mavalenciaor > Public > L1-DS KNIME Analytics Platform for Data Scientists - Basics > Exercises > 17_Logistic_Regression
    0
    mavalenciaor
  7. Workflow
    17_Logistic_Regression
    E-learning Logistic regression Classification
    +1
    E-learning course exercise. Train a logistic regression model.
    a2620 > Public > L1-DS KNIME Analytics Platform for Data Scientists - Basics > Exercises > 17_Logistic_Regression
    0
    a2620
  8. 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…
    mavalenciaor > Public > L1-DS KNIME Analytics Platform for Data Scientists - Basics > Exercises > 19_Confusion_Matrix_and_Class_Statistics
    0
    mavalenciaor
  9. Workflow
    18_Decision_Tree
    E-learning Classification Decision tree
    +1
    E-learning course exercise. Train a decision tree. Change the algorithm settings to improve the classification accuracy.
    stervis > Public > E-Learning > L1-DS KNIME Analytics Platform for Data Scientists - Basics > Exercises > 18_Decision_Tree
    0
    stervis
  10. 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.
    stervis > Public > E-Learning > L1-DS KNIME Analytics Platform for Data Scientists - Basics > Solutions > 20_ROC_Curve - Solution
    0
    stervis
  11. Workflow
    17_Logistic_Regression
    E-learning Logistic regression Classification
    +1
    E-learning course exercise. Train a logistic regression model.
    stervis > Public > E-Learning > L1-DS KNIME Analytics Platform for Data Scientists - Basics > Exercises > 17_Logistic_Regression
    0
    stervis
  12. 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
    mavalenciaor
  13. 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
    stervis
  14. Workflow
    18_Decision_Tree
    E-learning Classification Decision tree
    +1
    E-learning course exercise. Train a decision tree. Change the algorithm settings to improve the classification accuracy.
    a2620 > Public > L1-DS KNIME Analytics Platform for Data Scientists - Basics > Exercises > 18_Decision_Tree
    0
    a2620
  15. Workflow
    17_Logistic_Regression - Solution
    E-learning Logistic regression Classification
    +1
    Solution to an e-learning course exercise. Train a logistic regression model.
    mavalenciaor > Public > L1-DS KNIME Analytics Platform for Data Scientists - Basics > Solutions > 17_Logistic_Regression - Solution
    0
    mavalenciaor
  16. Workflow
    19_Confusion_Matrix_and_Class_Statistics - Solution
    E-learning Classification Model evaluation
    +4
    Solution to an e-learning course exercise. Evaluate the performance of a classification model with a confusion matrix, and class …
    stervis > Public > E-Learning > L1-DS KNIME Analytics Platform for Data Scientists - Basics > Solutions > 19_Confusion_Matrix_and_Class_Statistics - Solution
    0
    stervis
  17. Workflow
    06_Random_Forest - Solution
    E-learning Classification Tree ensemble
    +2
    Solution to an e-learning course exercise. Train a Random Forest model to predict letters based on their image characteristics.
    burdhasp > Public > Exercises - L2-DS KNIME Analytics Platform for Data Scientists - Advanced > Solutions > 06_Random_Forest - Solution
    0
    burdhasp
  18. 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…
    a2620 > Public > L1-DS KNIME Analytics Platform for Data Scientists - Basics > Exercises > 19_Confusion_Matrix_and_Class_Statistics
    0
    a2620
  19. 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.
    a2620 > Public > L1-DS KNIME Analytics Platform for Data Scientists - Basics > Exercises > 20_ROC_Curve
    0
    a2620
  20. Workflow
    19_Confusion_Matrix_and_Class_Statistics - Solution
    E-learning Classification Model evaluation
    +4
    Solution to an e-learning course exercise. Evaluate the performance of a classification model with a confusion matrix, and class …
    a2620 > Public > L1-DS KNIME Analytics Platform for Data Scientists - Basics > Solutions > 19_Confusion_Matrix_and_Class_Statistics - Solution
    0
    a2620