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KNIME_​project

Load demographic CSV dataset
CSV Reader
Bar Chart
Select predictive input features
Column Filter
Normalize numerical features
Normalizer
Split dataset into training and test subsets
Table Partitioner
Bar Chart
Bar Chart
Select predictive input features
Column Filter
Normalize numerical features
Normalizer
Visualize model performance
Bar Chart
Load demographic CSV dataset
CSV Reader
Bar Chart
Scatter Plot
k-Means
GroupBy
Weka Cluster Assigner (3.7)
Evaluate classification performance
Scorer
GroupBy
FarthestFirst (3.7)
Train Naive Bayes classifier
Naive Bayes Learner
Bar Chart
Scatter Plot
Predict target classes on test data
Naive Bayes Predictor
Train and evaluate KNN classifier (k=10)
K Nearest Neighbor
Bar Chart
Create quartile-based target categories (Q1–Q4)
Rule Engine
Visualize model performance
Bar Chart
Scorer
Scorer
Train and evaluate KNN classifier (k=50)
K Nearest Neighbor

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: pmtom
Created at: 2026-06-19
On NodePit since: 2026-06-20
Last update: 2026-06-21
Created with KNIME version: v5.8.3

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