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SVM

Regresja Logitowa

MULTIREGRESJA

Decision Tree, Random Forest

SVM

Credit Scoring - Classification
CSV Reader
Check for duplicate Clients: None
Duplicate Row Filter
Z score normalizer
Normalizer
Check for empty rows
Missing Value
Regression training
Linear Regression Learner
SVM Predictor
Scorer
Check
Numerical data visualisation
Hierarchical Cluster View
Partitioning: Random 70/30
Table Partitioner
Hierarchical Cluster Assigner (local)
Distance Matrix Calculate
ROC Curve
Hierarchical Clustering (DistMatrix)
Table Partitioner
Decision Tree Learner
Exclude outlier
Row Filter
Credit Scoring - Classification
CSV Reader
Decision Tree Predictor
Scorer
Credit Scoring - Classification
CSV Reader
Logistic Regression Predictor
Random Forest Predictor
Scorer
Scorer
Table Partitioner
Logistic Regression Learner
Random Forest Learner
Test model (predictor)
Regression Predictor
Check for empty rows
Missing Value
Normalizer
Partitioning: Random 70/30
Table Partitioner
Table Partitioner
Check for duplicate Clients: None
Duplicate Row Filter
Credit Scoring - Classification
CSV Reader
Numerical data visualisation
Z score normalizer
Normalizer
One to Many
Numeric Scorer
String data visualisation
Credit Scoring - Classification
CSV Reader
SVM Learner
Scatter Plot

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: barto
Created at: 2025-11-03
On NodePit since: 2025-11-04
Last update: 2025-11-04
Created with KNIME version: v5.7.0

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