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Verified Components Workflows

This directory contains 32 workflows.

Icon01_​Compute_​LIMEs 

This is an example for computing explanation using LIME. An XGBoost model was picked, but any model and its set of Learner and Predictor nodes can be […]

Icon01_​HierarchicalClustering WITH HIER.CLUST.HEATMAP 

This workflow clusters the iris dataset using Hierarchical Clustering

Icon01_​Parameter_​Optimization_​(Table)_​Component_​on_​Random_​Forest 

This workflow shows an example for the "Parameter Optimization (Table)" component (kni.me/c/dIpKMJbiO-3019eb). The model used for parameter optimization […]

Icon01.2_​Web-retrieving_​Nodes_​Solution 

This workflow shows how to extract text from a web page based on its URL.

Icon02_​AutoML_​Regression_​and_​Classification_​Examples 

This application is a simple example of AutoML with KNIME Software for regression and classification tasks. The key of this example is the “AutoML […]

Icon02_​Explainable_​Artificial_​Intelligence_​(XAI) 

This application is a simple example of AutoML with KNIME Software for binary and multiclass classification. The output models are then explained via the […]

Icon02_​Partial_​Dependence_​Pre-processing 

This is an example for visualizing a partial dependence plot and an ICE curves plot in KNIME. An XGBoost model was picked, but any model and its set of […]

Icon02_​Topic_​Scoring_​Example 

The Topic Scorer (Labs) verified component implements an experimental score for semantic coherence, exclusivity and similarity/distance of topics of one […]

Icon03_​Global_​Feature_​Importance 

In the example, the Credit Scoring data set is partitioned to training and test samples. Then, the black box model (Neural Network) is trained on the […]

Icon04_​Model_​Simulation_​View 

This workflow shows how to use the "Model Simulation View" component with AutoML The key of this example is the “Model Simulation View” component, verified […]