Icon

TelecomChurnDatasetWk3Assessment

<p>Workflow created to show churn within the telecom dataset where the company are worried about their retention in customers and want to understand what is the characteristics of a churning customer.</p>

Load Telecom Churn Dataset into the CSV Reader.

Statistics node used to get an overview of the dataset and have get quick information from the calculations

Used to see missing values in Income.

Convert all data to type string

Needed after the numbers convert to string so for the downstream tree learners know the exact unique values "0" and "1". This full cleanses the data.

This will give us our sample data and test data.

Connects to our sample data

Connects to the Table Partioner Table Test Data and Random Forest Leaner Model Output

Assess the outcome of churn within the dataset

CSV Reader
Statistics
Missing Value
Number to String
Domain Calculator
Table Partitioner
Random Forest Learner
Random Forest Predictor
Scorer

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: SINEADDONOVAN-STUDEN
Created at: 2026-10-05
On NodePit since: 2026-10-07
Last update: 2026-11-04
Created with KNIME version: v5.12.0
Tags: churncustomersfirstflow

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

Try NodePit Runner!