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01_​Local_​Explanation_​Examples

Local Interpretation Workflow
Wine DatasetExplaining a Single Quality Prediction of a Wine Iris DatasetExplaining a Single Species Prediction of a Flower Titanic DatasetExplaining a Single Survive Prediction of a Titanic Passenger execute up-streambefore configuration1 instanceexecute up-streambefore configuration1 instanceexecute up-streambefore configuration1 instancewine.tableiris.tableiris.tablebad wineselect speciesselect survivorInput:0 : Model as a Workflow Object1 : Data from Model Test Partition2 : Single Instance to ExplainOutput:0 : Counterfactuals Instances1 : Local Feature ImportanceInput:0 : Model as a Workflow Object1 : Data from Model Test Partition2 : Single Instance to ExplainOutput:0 : Counterfactuals Instances1 : Local Feature ImportanceInput:0 : Model as a Workflow Object1 : Data from Model Test Partition2 : Single Instance to ExplainOutput:0 : Counterfactuals Instances1 : Local Feature ImportanceAutoML Partitioning Row Sampling AutoML Partitioning Row Sampling Partitioning AutoML Row Sampling Table Reader Table Reader Table Reader Row Filter Row Filter Row Filter Local ExplanationView Local ExplanationView Local ExplanationView Wine DatasetExplaining a Single Quality Prediction of a Wine Iris DatasetExplaining a Single Species Prediction of a Flower Titanic DatasetExplaining a Single Survive Prediction of a Titanic Passenger execute up-streambefore configuration1 instanceexecute up-streambefore configuration1 instanceexecute up-streambefore configuration1 instancewine.tableiris.tableiris.tablebad wineselect speciesselect survivorInput:0 : Model as a Workflow Object1 : Data from Model Test Partition2 : Single Instance to ExplainOutput:0 : Counterfactuals Instances1 : Local Feature ImportanceInput:0 : Model as a Workflow Object1 : Data from Model Test Partition2 : Single Instance to ExplainOutput:0 : Counterfactuals Instances1 : Local Feature ImportanceInput:0 : Model as a Workflow Object1 : Data from Model Test Partition2 : Single Instance to ExplainOutput:0 : Counterfactuals Instances1 : Local Feature ImportanceAutoML Partitioning Row Sampling AutoML Partitioning Row Sampling Partitioning AutoML Row Sampling Table Reader Table Reader Table Reader Row Filter Row Filter Row Filter Local ExplanationView Local ExplanationView Local ExplanationView

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Extensions

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: corey
Created at: 2021-02-22
On NodePit since: 2021-04-21
Last update: 2024-04-24
Created with KNIME version: v4.3.2
Tags: XAICounterfactualAutoMLIntegrated DeploymentComponentWineIrisTitanicExplainable AISurrogate Model

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