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02_​Partial_​Dependence_​Pre-processing

Partial Dependence Plot Example
This example workflows shows how to visualize a partial dependence plot and an ICE curves plot.An XGBoost model was picked, but any model and its set of Learner and Predictor nodes can be used.See View -> Description for more information about what the workflow does. samples the data red wine data top: 90% train setbottom: 10% test settrain the modelif quality > 5 : goodelse : badtop input: curves databottom input: test datacolors by ground truthdefines boundsfor samplingof "alcohol"Partial DependencePre-processing File Reader Partitioning XGBoost TreeEnsemble Learner XGBoost Predictor Rule Engine PartialDependence/ICE Plot Color Manager Edit Numeric Domain This example workflows shows how to visualize a partial dependence plot and an ICE curves plot.An XGBoost model was picked, but any model and its set of Learner and Predictor nodes can be used.See View -> Description for more information about what the workflow does. samples the data red wine datatop: 90% train setbottom: 10% test settrain the modelif quality > 5 : goodelse : badtop input: curves databottom input: test datacolors by ground truthdefines boundsfor samplingof "alcohol"Partial DependencePre-processing File Reader Partitioning XGBoost TreeEnsemble Learner XGBoost Predictor Rule Engine PartialDependence/ICE Plot Color Manager Edit Numeric Domain

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Created by: Paolo
Created at: 2019-06-25
On NodePit since: 2021-10-28
Last update: 2024-11-21
Created with KNIME version: v4.1.1
Tags: partial dependencepdppdp ploticeice curvesindividual conditional expectationmachine learning interpretabilitymliMLIpreprocessingpre-processingsamplingsamplelinear samplingpartial dependence/ICE plot pre-processingcomponent

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