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XGBoost Example

XGBoost Model Deployment

Reads housing data with target of sales price. Illustrates how to deploy model to analyze a new data set employing the original model.

New Model. Reads model createdfrom training data and creates outputfrom new data. In a real situation thispart would be a new workflow with newdata, not data from the testing portionof the partition. 70/30Node 50Read modelproduced byLearnerNode 52Removes SalePrice.Not needed w/ new datawith no SalePrice.Read Housing DataFeed new dataw/ appropriate FileReader to data port ofPredictor node. Partitioning Numeric Scorer Missing Value XGBoost Linear ModelLearner (Regression) XGBoost Predictor(Regression) Model Writer Model Reader XGBoost Predictor(Regression) Column Filter Table Reader File Reader New Model. Reads model createdfrom training data and creates outputfrom new data. In a real situation thispart would be a new workflow with newdata, not data from the testing portionof the partition. 70/30Node 50Read modelproduced byLearnerNode 52Removes SalePrice.Not needed w/ new datawith no SalePrice.Read Housing DataFeed new dataw/ appropriate FileReader to data port ofPredictor node.Partitioning Numeric Scorer Missing Value XGBoost Linear ModelLearner (Regression) XGBoost Predictor(Regression) Model Writer Model Reader XGBoost Predictor(Regression) Column Filter Table Reader File Reader

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

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Created by: Emilio Silvestri
Created at: 2019-11-29
On NodePit since: 2023-07-05
Last update: 2024-11-21
Created with KNIME version: v4.7.4
Tags: regressionmachine learningeducation

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