1 903 results

  1. Evaluating Classification Model Performance

    classification model model evaluation confusion matrix class prediction statistics accuracy scoring metrics interactive view javascript
    Train a classification model using the Decision Tree algorithm. Evaluate the accuracy of the class prediction by scoring metrics, ROC Curve, and Lift Chart.
  2. Evaluating Classification Model Performance

    classification model model evaluation confusion matrix class prediction statistics accuracy scoring metrics interactive view javascript
    Train a classification model using the Decision Tree algorithm. Evaluate the accuracy of the class prediction by scoring metrics, ROC Curve, and Lift Chart.
  3. Evaluating Classification Model Performance

    classification model model evaluation confusion matrix class prediction statistics accuracy scoring metrics interactive view javascript
    Train a classification model using the Decision Tree algorithm. Evaluate the accuracy of the class prediction by scoring metrics, ROC Curve, and Lift Chart.
  4. H2O Generalized Linear Model for regression

    H2O Generalized Linear Model machine learning glm
    This example shows how to build an H2O GLM model for regression, predict new data and score the regression metrics for model evaluation.
  5. H2O scoring model performance metrics

    H2O scoring machine learning model evaluation
    This example shows how to evaluate the performance of H2O classification (binominal and multinominal) and regression models.
  6. H2O Generalized Linear Model for regression

    H2O Generalized Linear Model machine learning glm
    This example shows how to build an H2O GLM model for regression, predict new data and score the regression metrics for model evaluation.
  7. NER Tagger Model Training

    education
    This workflows shows how to train a model for named-entity recognition. The model can be created with the StanfordNLP NE Learner node which creates a conditional random field (CRF) model. To create th…
  8. Uplift Tree Evaluator

    The evaluation of uplift models differs much from other predictive analytics approaches. This node evaluates the quality of an Uplift Model by analyzing the real uplift in given bins compared to the p…
    Manipulator
  9. RTEvaluation

    Application that evaluates TPs (true positives), TNs, FPs, and FNs for an idXML file with predicted RTs. Web Documentation for RTEvaluation
    Manipulator
  10. Manual Feature Selection

    These workflows demonstrate interesting way to use loops. They replicate functionality that's available as a set of nodes

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