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Feature Engineering
WebPortal Application AutoML Automated machine learning Feature selection Guided analytics Guided automation Hyper-parameter
  1. Workflow
    Guided Automation
    AutoML Guided analytics Automated machine learning
    +11
    Download the entire workflow group from the Example Server. This Guided Analytics application is made of this main workflow, whic…
    knime > Examples > 50_Applications > 36_Guided_Analytics_for_ML_Automation > 01_Guided_Analytics_for_ML_Automation > 01_Guided_Analytics_for_ML_Automation
    6
    knime
  2. Workflow
    Cardiovascular Disease Prediction using 'autofeat' Generated Features
    Feature Engineering Cardiovascular Medical diagnostic
    +1
    The workflow demonstrates use of autofeat generator in classification tasks. A number of non-linear features are generated by the…
    ashokharnal > Collection of Components and Workflows > feature-generation > Cardiovascular Disease Prediction using 'autofeat' Generated Features
    1
    ashokharnal
  3. Workflow
    Guided Automation
    AutoML Guided analytics Automated machine learning
    +11
    Download the entire workflow group from the Example Server. This Guided Analytics application is made of this main workflow, whic…
    prashantks > Public > 01_Guided_Analytics_for_ML_Automation
    0
    prashantks
  4. Workflow
    Guided Automation
    AutoML Guided analytics Automated machine learning
    +11
    Download the entire workflow group from the Example Server. This Guided Analytics application is made of this main workflow, whic…
    bgriff > Public > 01_Guided_Analytics_for_ML_Automation
    0
    bgriff
  5. Workflow
    Auto feature engineering workflow
    Feature Generation Regression Feature Engineering
    There are two workflows: One for data which is not large. Full (or 80% of data) can be used for training and rest for testing, fe…
    thotegt > Public > Auto feature generation workflow
    0
    thotegt
  6. Workflow
    Classification using 'autofeat' Engineered Features
    Feature Engineering Healthcare Insurance
    +2
    The workflow demonstrates use of autofeat generator in classification tasks. A number of non-linear features are generated by the…
    ashokharnal > Collection of Components and Workflows > feature-generation > Classification using 'autofeat' Engineered Features
    0
    ashokharnal
  7. 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
  8. Workflow
    Auto feature engineering workflow
    Feature Generation Regression Feature Engineering
    There are two workflows: One for data which is not large. Full (or 80% of data) can be used for training and rest for testing, fe…
    ashokharnal > Collection of Components and Workflows > feature-generation > Auto feature generation workflow
    0
    ashokharnal
  9. Workflow
    Guided Automation
    AutoML Guided analytics Automated machine learning
    +11
    Download the entire workflow group from the Example Server. This Guided Analytics application is made of this main workflow, whic…
    mortenrai > Public > 01_Guided_Analytics_for_ML_Automation
    0
    mortenrai
  10. Workflow
    Guided Automation
    AutoML Guided analytics Automated machine learning
    +11
    Download the entire workflow group from the Example Server. This Guided Analytics application is made of this main workflow, whic…
    ealbuger > Public > 01_Guided_Analytics_for_ML_Automation
    0
    ealbuger