Icon

Exercise 6_​1 - Student Churn Analysis

Student churn analysis modeled on non-academic variables only. Questions:1. Why are academic variables (e.g. GPA)not used in the model?2. What might be the reason that thetransfer_credits_Sum variable isimportant in the model?3. How can the school use the predictionof churn for active students? Inactive StudentsNode 13Node 14Active StudentsNode 21Node 22Node 23Node 24Node 25Node 26Node 31Node 32Node 33 Rule-basedRow Filter Partitioning Number To String(deprecated) Rule-basedRow Filter InteractiveTable (local) Random ForestLearner Random ForestPredictor Random ForestPredictor Sorter Statistics CorrelationFiltering Scorer CSV Reader Student churn analysis modeled on non-academic variables only. Questions:1. Why are academic variables (e.g. GPA)not used in the model?2. What might be the reason that thetransfer_credits_Sum variable isimportant in the model?3. How can the school use the predictionof churn for active students? Inactive StudentsNode 13Node 14Active StudentsNode 21Node 22Node 23Node 24Node 25Node 26Node 31Node 32Node 33Rule-basedRow Filter Partitioning Number To String(deprecated) Rule-basedRow Filter InteractiveTable (local) Random ForestLearner Random ForestPredictor Random ForestPredictor Sorter Statistics CorrelationFiltering Scorer CSV Reader

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: Bob
Created at: 2017-08-10
On NodePit since: 2020-08-08
Last update: 2024-04-27
Created with KNIME version: v4.2.0

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

Try NodePit Runner!