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Just KNIME It S02 _​ CH09 _​ Wine Quality

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.

Author: @k10shetty1

Just KNIME It - Season2 - Challenge09: What Matters for Wine Quality? winequality-red.csvstatistics normalize 0-1start backward elimination with in loop parametersBackward Elimination with unrestrictedsignificancecolumn names to tablecolumn names to long shapeupper: dependent lower: independent variablesdependent to 'variable't-value decreassing sortingexclude interceptupper: first rowlower: non-firstrename to pre-processVariable column back to recursivein loop parameters to listfilter variable quality bypass (dependent)append qualitynegative correlation coeff pre-processingrename to 'Varible' default linear regression column name column names to tablecolumn names to long shapeinclude in-loop independent variables inspect distributions of independent variablessort_chart list variableassign colorsdata frame to bar chartcategory columnlist to variablesort columns importance sorting of wine quality parameterscollected variable columnround to two decimals CSV Reader Linear RegressionLearner Normalizer RecursiveLoop Start Recursive Loop End ExtractColumn Header Transpose Rule-basedRow Splitter Table Rowto Variable Sorter Row Filter Row Splitter Column Rename Column Filter GroupBy Table Rowto Variable Column Filter Column Appender Negate NegativePearson's Column Rename ExtractColumn Header Transpose Column Filter Box Plot (local) GroupBy Color Manager Pivoting ConstantValue Column Table Rowto Variable Column Resorter Bar Chart Column Filter Math Formula(Multi Column) Just KNIME It - Season2 - Challenge09: What Matters for Wine Quality? winequality-red.csvstatistics normalize 0-1start backward elimination with in loop parametersBackward Elimination with unrestrictedsignificancecolumn names to tablecolumn names to long shapeupper: dependent lower: independent variablesdependent to 'variable't-value decreassing sortingexclude interceptupper: first rowlower: non-firstrename to pre-processVariable column back to recursivein loop parameters to listfilter variable quality bypass (dependent)append qualitynegative correlation coeff pre-processingrename to 'Varible' default linear regression column name column names to tablecolumn names to long shapeinclude in-loop independent variables inspect distributions of independent variablessort_chart list variableassign colorsdata frame to bar chartcategory columnlist to variablesort columns importance sorting of wine quality parameterscollected variable columnround to two decimals CSV Reader Linear RegressionLearner Normalizer RecursiveLoop Start Recursive Loop End ExtractColumn Header Transpose Rule-basedRow Splitter Table Rowto Variable Sorter Row Filter Row Splitter Column Rename Column Filter GroupBy Table Rowto Variable Column Filter Column Appender Negate NegativePearson's Column Rename ExtractColumn Header Transpose Column Filter Box Plot (local) GroupBy Color Manager Pivoting ConstantValue Column Table Rowto Variable Column Resorter Bar Chart Column Filter Math Formula(Multi Column)

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Created by: gabeg
Created at: 2023-05-24
On NodePit since: 2023-05-28
Last update: 2024-04-26
Created with KNIME version: v4.7.1
Tags: JKISeason2-9

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