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Data Science Models

04 Visualization - Exercise

This workflow shows a hands-on exercise in the L1-DW KNIME Analytics Platform for Data Wranglers: Basics course

Data Science Models:1. Displays as ROC curve and decsion treemodel based on the currnt gross domesticproduct.2. The numeric scorer keeps track of the GPDnumeric scorer. GPD.csvNode 40Node 41Node 42Node 43Node 44GDPNode 47Node 48Node 49Node 50GPD.csvDisplay the missing valuesConvert the 0s to ?Node 54Node 55 CSV Reader Column Filter Color Manager Partitioning DecisionTree Learner Decision TreePredictor ROC Curve Decision Tree View Linear RegressionLearner RegressionPredictor Numeric Scorer CSV Reader Missing ValueColumn Filter Rule Engine Row Filter Partitioning Data Science Models:1. Displays as ROC curve and decsion treemodel based on the currnt gross domesticproduct.2. The numeric scorer keeps track of the GPDnumeric scorer. GPD.csvNode 40Node 41Node 42Node 43Node 44GDPNode 47Node 48Node 49Node 50GPD.csvDisplay the missing valuesConvert the 0s to ?Node 54Node 55CSV Reader Column Filter Color Manager Partitioning DecisionTree Learner Decision TreePredictor ROC Curve Decision Tree View Linear RegressionLearner RegressionPredictor Numeric Scorer CSV Reader Missing ValueColumn Filter Rule Engine Row Filter Partitioning

Nodes

Extensions

Links

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: Maarit Laukkanen
Created at: 2020-10-23
On NodePit since: 2023-04-15
Last update: 2024-04-27
Created with KNIME version: v4.7.1
Tags: educationl1-dw

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