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Exercise1

KBL: Chapter 4 Exercise1
Workflow: Chapter 4/Exercise 1 This workflow:- reads the wine data from the KBLdata folder- partitions the data: 80% to training set, 20% to test set- trains a decision tree to predict the wine class based on all other attributes (i.e. data columns)- applies the model to the test set- scores the right guess of Prediction(Class) vs. the original Class values. 80% vs. 20%Node 8Class as TargetClass vs.Prediction(Class)wine.data filewith path relative to"current workflow"column "Class" to be a String Partitioning Decision TreePredictor DecisionTree Learner Scorer (JavaScript) CSV Reader Number To String Workflow: Chapter 4/Exercise 1 This workflow:- reads the wine data from the KBLdata folder- partitions the data: 80% to training set, 20% to test set- trains a decision tree to predict the wine class based on all other attributes (i.e. data columns)- applies the model to the test set- scores the right guess of Prediction(Class) vs. the original Class values. 80% vs. 20%Node 8Class as TargetClass vs.Prediction(Class)wine.data filewith path relative to"current workflow"column "Class" to be a StringPartitioning Decision TreePredictor DecisionTree Learner Scorer (JavaScript) CSV Reader Number To String

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On NodePit since: 2021-02-21
Last update: 2024-11-21
Created with KNIME version: v4.3.1
Tags: EducationKNIMEPressPartitionDecision treeScorer

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