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Machine Learning - Exercise

This workflow shows a hands-on exercise in the L1-DS Introduction to KNIME Analytics Platform for Data Scientists - Basics course

The linear regression does not work very well,and honeslty the dataset is not great for it. However, the descision tree classifierwith the churn target has an accuracyof over 80%. Node 13Node 14Node 15Node 16Node 17Node 18Node 19Node 20Node 21Node 22 Missing Value Partitioning Linear RegressionLearner RegressionPredictor Numeric Scorer Partitioning DecisionTree Learner Decision TreePredictor ROC Curve Scorer CSV Reader The linear regression does not work very well,and honeslty the dataset is not great for it. However, the descision tree classifierwith the churn target has an accuracyof over 80%. Node 13Node 14Node 15Node 16Node 17Node 18Node 19Node 20Node 21Node 22 Missing Value Partitioning Linear RegressionLearner RegressionPredictor Numeric Scorer Partitioning DecisionTree Learner Decision TreePredictor ROC Curve Scorer CSV 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: Maarit Laukkanen
Created at: 2020-04-20
On NodePit since: 2023-06-17
Last update: 2024-04-27
Created with KNIME version: v4.7.0
Tags: r-squarederror metriclinear regressiondecision treescoring metricsROCeducation

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