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missin_​values_​2

missing values rispetto all'attributo churn. Se churn è yes allora inserisco un certo valore,viceversa per churn pari a no most probable Node 1Node 2Node 3Node 4Node 5Node 6Node 7Node 9Node 10Node 11Node 12Node 13Node 14Node 15Node 16Node 17 File Reader InteractiveTable (local) Statistics Missing Value InteractiveTable (local) Metanode 1 : 1 InteractiveTable (local) Row Filter Row Filter Linear RegressionLearner RegressionPredictor Column Filter Column Rename Concatenate InteractiveTable (local) Column Filter missing values rispetto all'attributo churn. Se churn è yes allora inserisco un certo valore,viceversa per churn pari a no most probable Node 1Node 2Node 3Node 4Node 5Node 6Node 7Node 9Node 10Node 11Node 12Node 13Node 14Node 15Node 16Node 17File Reader InteractiveTable (local) Statistics Missing Value InteractiveTable (local) Metanode 1 : 1 InteractiveTable (local) Row Filter Row Filter Linear RegressionLearner RegressionPredictor Column Filter Column Rename Concatenate InteractiveTable (local) Column Filter

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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: Lorenzo
Created at: 2020-11-11
On NodePit since: 2020-12-08
Last update: 2024-11-21
Created with KNIME version: v4.2.3

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