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Knime_​first_​Assignment_​A2

Data preparation and Feature Selection

Model Training & Testing

Exploring Bias and Class Imbalance

Evaluation of Gender Bias

Degree
Rule Engine
Number to String
Age Group Counts
Value Counter
Value Counter
Age
Rule Engine
XGBoost Predictor
Accuracy:90.5% approx
Scorer
Top: train (70%)Bottom: test (30%)
Table Partitioner
Bar Chart
Bar Chart
Table View
Math Formula
Table View
Inspect ROC Curve
ROC Curve
University Degree Before Grouping
Value Counter
Bar Chart
XGBoost Tree Ensemble Learner
Degree Group Counts
Value Counter
Z score
Normalizer
Normalizer (Apply)
Feature Selection Filter
Local File System Connector
Duplicate Row Filter
Bar Chart
CSV Reader
Gender
Value Counter
Feature Selection Loop Start (1:1)
Number to String
Bar Chart
SMOTE
Math Formula
Proportion by Gender
Bar Chart
Random Forest Predictor
Proportion by degree
Bar Chart
Scorer
Math Formula
Feature Selection Loop End
Proportion by Age
Bar Chart
Random Forest Learner
Math Formula
Feature Selection Filter

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: HAhadyDolatsara
Created at: 2025-03-20
On NodePit since: 2026-04-02
Last update: 2026-04-22
Created with KNIME version: v5.11.0

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