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Mini Project 2 KNIME1

KNN:

Logistic Regression, NB, and DT:

Rule Based Classificaton:

CSV Reader
Logistic Regression Predictor
Statistics
Exclude (not set) values
Row Filter
Scaling
Normalizer
Scaling
Normalizer
PART (3.7)
Hundreds of distinct values
Column Filter
Parameter Optimization Loop Start
Weka Predictor (3.7)
Scorer (JavaScript)
Decision Tree Learner
Box Plot
Decision Tree Predictor
ROC Curve
Table Partitioner
Parameter Optimization Loop End
Scorer (JavaScript)
Statistics
Parameter Optimization Loop Start
ROC Curve
Scorer
Parameter Optimization Loop End
Naive Bayes Learner
K Nearest Neighbor (Distance Function)
Naive Bayes Predictor
Line Plot
Table Partitioner
Scorer
Exclude (not set) values
Row Filter
Scorer (JavaScript)
Scaling
Normalizer
Numeric Distances
Scorer (JavaScript)
K Nearest Neighbor
CSV Reader
Exclude (not set) values
Row Filter
JRip (3.7)
Logistic Regression Learner
Convert all variables to numerical
One to Many
Hundreds of distinct values
Column Filter
CSV Reader
Table Partitioner

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: JanaE
Created at: 2026-10-13
On NodePit since: 2026-10-18
Last update: 2026-10-18
Created with KNIME version: v5.12.0

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