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Cross-validation
ROC
Bayesian optimization Cohen's Kappa Feature Engineering GIDS Handling large datasets Parameter optimization TheGuideBook Accuracy
  1. Workflow
    Training and Testing a Model (decision tree)
    TheGuideBook Decision tree Testing
    +11
    This workflow shows how to train and test a basic classification model. Using the adult dataset, a decision tree is trained and t…
    knime > Academic Alliance > Guide to Intelligent Data Science > Example Workflows > Chapter5 > 01_CrossValidation_Scorer_ROC
    0
    knime
  2. Workflow
    xgboost parameter tuning and handling large datasets
    Xgboost Handling large datasets ROC
    +5
    This example demonstrates following: 1. Handling Large datasets in KNIME--Setting Memory Policy 2. Feature Engineering 3. ROC cur…
    ashokharnal > Collection of Components and Workflows > xgboost parameter tuning using Bayes Optimization > xgboost parameter tuning (maximise ROC) using Bayes Optimization
    0
    ashokharnal