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JKISeason2-9_​sryu

Challenge 09: What Matters for Wine Quality?
Level : Hard

Description: In this challenge, your goal is to see which features are the most important in predicting the quality of wine. After doing this analysis, you should create a visualization that shows the features' importances in order.

compute feature importanceRemove intercept80/20R2=0.411dataabs($Coeff.$)R2=0.509H2O Local Context H2O to Table Table to H2O Sorter Math Formula RowID Table to H2O Row Filter Column Filter Partitioning Random Forest Learner(Regression) Numeric Scorer Normalizer (Apply) Transpose H2O Generalized LinearModel Learner (Regression) Normalizer H2O Predictor(Regression) CSV Reader Transpose RowID Column Filter Math Formula ConstantValue Column Sorter Random Forest Predictor(Regression) Numeric Scorer ConstantValue Column Component compute feature importanceRemove intercept80/20R2=0.411dataabs($Coeff.$)R2=0.509H2O Local Context H2O to Table Table to H2O Sorter Math Formula RowID Table to H2O Row Filter Column Filter Partitioning Random Forest Learner(Regression) Numeric Scorer Normalizer (Apply) Transpose H2O Generalized LinearModel Learner (Regression) Normalizer H2O Predictor(Regression) CSV Reader Transpose RowID Column Filter Math Formula ConstantValue Column Sorter Random Forest Predictor(Regression) Numeric Scorer ConstantValue Column Component

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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: sryus
Created at: 2023-05-24
On NodePit since: 2023-05-25
Last update: 2026-01-10
Created with KNIME version: v4.7.2
Tags: JKISeason2-9

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