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Classification Decision tree Education Scorer ROC curve
+5
  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
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  2. Workflow
    Document Classification: Model Training and Deployment
    NLP Natural Language Processing Text Classification
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    The goal of this workflow is to do spam classification using YouTube comments as the dataset. The workflow starts with a data tab…
    knime > Examples > 08_Other_Analytics_Types > 01_Text_Processing > 02_Document_Classification
    2
  3. Workflow
    09 Decision Tree and Classification Model Evaluation
    Classification Decision tree Overall accuracy
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    Exercise for training a classification model. Train and apply a decision tree model. Evaluate the model's performance with scorin…
    knime > Education > Self-Paced Courses > L1-DS KNIME Analytics Platform for Data Scientists - Basics > Exercises > 09 Decision Tree Model
    0
  4. Workflow
    Group 2 Optional Steps
    Predictive Analytics Machine Learning Cross Validation
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    Solution to the optional tasks for Group 2 in KNIME Data Science Learnathon - Apply a cross validation loop to a classification m…
    knime > Education > Learnathons > From_Raw_Data_To_Deployment > Learnathon > Challenges > Group2_Training_Evaluation_and_Optimization > Group2_2_Optional_Steps
    0
  5. Workflow
    Group 2 Optional Steps
    Predictive Analytics Machine Learning Cross Validation
    +6
    Solution to the optional tasks for Group 2 in KNIME Data Science Learnathon - Apply a cross validation loop to a classification m…
    knime > Education > Learnathons > From_Raw_Data_To_Deployment > Learnathon-Solutions > Group2_Training_Evaluation_and_Optimization > Group2_2_Optional_Steps
    0
  6. Workflow
    Cohen's Kappa for Evaluating Classification Models
    Model evaluation Resampling Cohen's kappa
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    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
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  7. Workflow
    KBL: My First Classification Model
    Education KNIMEPress Naive Bayes
    +4
    Classification wih naive Bayes and decision tree classifiers, with the performance evaluated by the scorer node and ROC curves
    andreaszultner > Public > BeginnersLuck > Chapter4 > 2. My First Model
    0
  8. Workflow
    KBL: My First Classification Model
    Education KNIMEPress Naive Bayes
    +4
    Classification wih naive Bayes and decision tree classifiers, with the performance evaluated by the scorer node and ROC curves
    hayasaka > Public > KNIMEPress > KNIME_Beginners_Luck_4.3_20210219 > BeginnersLuck > Chapter4 > 2. My First Model
    0
  9. Workflow
    KBL: My First Classification Model
    Education KNIMEPress Naive Bayes
    +4
    Classification wih naive Bayes and decision tree classifiers, with the performance evaluated by the scorer node and ROC curves
    joli > Public > BeginnersLuck > Chapter4 > 2. My First Model
    0
  10. Workflow
    KBL: My First Classification Model
    Education KNIMEPress Naive Bayes
    +4
    Classification wih naive Bayes and decision tree classifiers, with the performance evaluated by the scorer node and ROC curves
    pvn > Public > libro1 > Chapter4 > 2. My First Model
    0
  11. Workflow
    KBL: My First Classification Model
    Education KNIMEPress Naive Bayes
    +4
    Classification wih naive Bayes and decision tree classifiers, with the performance evaluated by the scorer node and ROC curves
    hayasaka > Public > KNIMEPress > KNIME_Beginners_Luck_4.6_20220802 > BeginnersLuck > Chapter4 > 2. My First Model
    0
  12. Workflow
    KBL: My First Classification Model
    Education KNIMEPress Naive Bayes
    +4
    Classification wih naive Bayes and decision tree classifiers, with the performance evaluated by the scorer node and ROC curves
    hayasaka > Public > KNIMEPress > KNIME_Beginners_Luck_4.5_20220114 > BeginnersLuck > Chapter4 > 2. My First Model
    0
  13. Workflow
    KBL: My First Classification Model
    Education KNIMEPress Naive Bayes
    +4
    Classification wih naive Bayes and decision tree classifiers, with the performance evaluated by the scorer node and ROC curves
    hayasaka > Public > KNIMEPress > KNIME_Beginners_Luck_4.1_20200423 > BeginnersLuck > Chapter4 > 2. My First Model
    0
  14. Workflow
    KBL: My First Classification Model
    Education KNIMEPress Naive Bayes
    +4
    Classification wih naive Bayes and decision tree classifiers, with the performance evaluated by the scorer node and ROC curves
    paolapolpettini > Public > BeginnersLuck > Chapter4 > 2. My First Model
    0
  15. Workflow
    KBL: My First Classification Model
    Education KNIMEPress Naive Bayes
    +4
    Classification wih naive Bayes and decision tree classifiers, with the performance evaluated by the scorer node and ROC curves
    muhas > Public > 2. My First Model
    0
  16. Workflow
    KBL: My First Classification Model
    Education KNIMEPress Naive Bayes
    +4
    Classification wih naive Bayes and decision tree classifiers, with the performance evaluated by the scorer node and ROC curves
    hayasaka > Public > KNIMEPress > KNIME_Beginners_Luck_4.4_20210802 > BeginnersLuck > Chapter4 > 2. My First Model
    0
  17. Workflow
    H2O Gradient Boosting Machine for classification
    H2O Machine learning Gradient Boosting Machine
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    This workflow explains how to train a GBM classifier in H2O, predict classes of new data and evaluate the performance. 1. Prepare…
    knime > Examples > 04_Analytics > 15_H2O_Machine_Learning > 02_H2O_GBM_Classification_Model
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  18. Workflow
    H2O Gradient Boosting Machine for classification
    H2O Machine learning Gradient Boosting Machine
    +1
    This workflow explains how to train a GBM classifier in H2O, predict classes of new data and evaluate the performance. 1. Prepare…
    annakuprik > Public > 02_H2O_GBM_Classification_Model
    0
  19. Workflow
    Adjusting Class Probabilities after Resampling
    Classification Class probability Profit
    +8
    This workflow compares the performances of three different setups for a classification model that is used to detect fraud in cred…
    knime > Examples > 04_Analytics > 10_Scoring > 03_Adjusting_Class_Probabilities_after_Resampling
    0
  20. Workflow
    H2O Gradient Boosting Machine for classification
    H2O Machine learning Gradient Boosting Machine
    +1
    This workflow explains how to train a GBM classifier in H2O, predict classes of new data and evaluate the performance. 1. Prepare…
    r_khusainov > Public > 02_H2O_GBM_Classification_Model
    0