Icon

04 Decision Tree Model

04 Decision Tree Model - Exercise

This workflow shows a hands-on exercise in the L2-DW Introduction to KNIME Analytics Platform for Data Wranglers - Advanced course

Exercise: Train a Decision Tree ModelThe provided metanode contains a workflow that accesses and preprocesses demographics, geo coordinates, and travel risk information in different countries/territories. Specifically, it creates a binomial column Travel with two values "Travel safely" and "Travel with care" based on the travel risk categories. Your taskis to predict this travel risk category via the following steps:1. Partition the data into a training set (70%) and a test set (30%). Apply stratified sampling on the Travel column.2. Build a decision tree model to predict the travel risk category (Travel column). Apply the model to the test set.3. Evaluate the model's performance. Use the Scorer or Scorer (JavaScript) node. 70/30 splitpredict travelNode 41 Data access andpreprocessing Partitioning DecisionTree Learner Decision TreePredictor Scorer (JavaScript) Exercise: Train a Decision Tree ModelThe provided metanode contains a workflow that accesses and preprocesses demographics, geo coordinates, and travel risk information in different countries/territories. Specifically, it creates a binomial column Travel with two values "Travel safely" and "Travel with care" based on the travel risk categories. Your taskis to predict this travel risk category via the following steps:1. Partition the data into a training set (70%) and a test set (30%). Apply stratified sampling on the Travel column.2. Build a decision tree model to predict the travel risk category (Travel column). Apply the model to the test set.3. Evaluate the model's performance. Use the Scorer or Scorer (JavaScript) node. 70/30 splitpredict travelNode 41 Data access andpreprocessing Partitioning DecisionTree Learner Decision TreePredictor Scorer (JavaScript)

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: 2023-02-13
Last update: 2024-11-21
Created with KNIME version: v4.7.0
Tags: educationself-pacedl2-dw

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!