K-means LIME 

This is an implementation of the model explanation technique developed by H2O.ai called K-LIME using the KNIME H2O Machine Learning Integration. To find […]

K-means LIME 

This is an implementation of the model explanation technique developed by H2O.ai called K-LIME using the KNIME H2O Machine Learning Integration. To find […]

IconKNIME_​project_​TitanicSecondTry 

Imputation: -Alter: Rounded Mean (gerundeter Durchschnitt). -Embarked: Vorheriger Wert; Wahrscheinlichkeit relativ hoch, dass Person mit fehlendem Wert an […]

Iconstat_​heartUCR_​project 

Discovering relationships in features--Heart Disease The workflow is intended as a demo for discovering relationships in features using several methods […]

Icon01_​Feature_​Elimination_​Done_​Manually 

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

IconGroup_​5_​Workflow 

Icon01_​Analytics 

Analytics - Model Selection to Predict Flight Departure Delays This workflow trains a number of data analytics models and automatically selects the best […]

Icondata preprocessing 

This workflow demonstrates the following standard preprocessing steps before training a machine learning model: - Partitioning - Outlier detection - Missing […]

Icon04_​Data_​Preprocessing_​for_​ML_​Models 

This workflow demonstrates the following standard preprocessing steps before training a machine learning model: - Partitioning - Outlier detection - Missing […]

Icon04_​Data_​Preprocessing_​for_​ML_​Models 

This workflow demonstrates the following standard preprocessing steps before training a machine learning model: - Partitioning - Outlier detection - Missing […]