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Assignment 2 - Classification

First model

Second model

Third Model

optimize Best model

Constant Value Column Filter
Table Creator
Value Counter
Table Creator
Bar Chart
Tree Ensemble Learner
Tree Ensemble Predictor
Table Row to Variable Loop Start
X-Partitioner
Tree Ensemble Learner
Tree Ensemble Predictor
Scorer
Loop End
X-Aggregator
Model Writer
Random Forest Learner
Table Row to Variable
Sorter
Tree Ensemble Learner
CSV Writer
Random Forest Predictor
Variable to Table Row
Scorer
Column Filter
10 fold crossto validation
X-Partitioner
adult.csv
CSV Reader
simplify dataset
Column Filter
convert income to binary
Rule Engine
clean old column
Column Filter
implement one hot to let model use binary features
One to Many
Normalizer
Row Filter
capital gain-loss
Math Formula
Scatter Plot
CSV Reader
X-Aggregator
10 fold crossto validation
X-Partitioner
GroupBy
X-Aggregator
Scorer
X-Aggregator
Scorer
Color Manager
Scatter Plot Matrix
Scatter Plot Matrix
ROC Curve
ROC Curve
Scatter Plot Matrix
ROC Curve
10 fold crossto validation
X-Partitioner
Column Filter
first model
Logistic Regression Learner
income binary to String
Number to String
Constant Value Column Filter
make income binary to nominalto fix downstream
Domain Calculator
Column Filter
Column Filter
generate prediction
Logistic Regression Predictor
Constant Value Column Filter
handle unbalance sample
Equal Size Sampling

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: andy
Created at: 2025-11-18
On NodePit since: 2025-11-18
Last update: 2025-12-09
Created with KNIME version: v5.8.0

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