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KNIME_​projectSIAD_​5

Testing Best Method

Decision Tree Learner

Decision Tree Learner withLoop Optimization

Gradient Boosted Tree Learner with Loop Optimization

Gradient Tree Learner with Smote

Double Gradient Tree Learner with Loop

Double Gradient Tree Learner

CSV Reader
Divisão 80% treino / 20% teste
Table Partitioner
Normalizer
Guardar nome do modelo
Constant Value Column Appender
ROC Curve
Avalia correlação entre cada par de Features
Linear Correlation
Row Filter
aprender com modelo.
Decision Tree Learner
Rule Engine
Decision Tree Predictor
Bar Chart
Normalizer (Apply)
Gradient Boosted Trees Predictor
Normalizer
Normalizer (Apply)
Métricas
Scorer
Row Filter
Gradient Boosted Trees Predictor
Exclui 1 feature em cada par com correlação acima do Treshold
Correlation Filter
Column Filter
Column Filter
Concatenate
Rule Engine
Row Filter
Row Filter
Row Splitter
Column Filter
Normalizer
Capacidade geral de distinguir as classes
ROC Curve
Comparação entre métricas dos diferentes modelos
Bar Chart
Gradient Boosted Trees Predictor
Row Filter
CSV Reader
Linear Correlation
Capacidade geral de distinguir as classes
ROC Curve
Correlation Filter
Normalizer
Gradient Boosted Trees Learner
Row Filter
aprender com modelo.
Decision Tree Learner
Constant Value Column Appender
Bar Chart
Scorer
Divisão 80% treino / 20% teste
Table Partitioner
Comparação entre métricas dos diferentes modelos
Bar Chart
ROC Curve
Comparação entre métricas dos diferentes modelos
Bar Chart
Row Filter
Row Filter
Constant Value Column Appender
Scorer
Métricas
Scorer
Scorer
Domain Calculator
CSV Reader
Gradient Boosted Trees Learner
distribuição das classes Target (Dropout/Graduate)
Value Counter
Row Filter
Divisão 80% treino / 20% teste
Table Partitioner
aprender com modelo.
Decision Tree Learner
Decision Tree Predictor
Row Splitter
Column Filter
Rule Engine
Row Filter
Scorer
Row Filter
Constant Value Column Appender
Row Filter
Row Filter
Concatenate
Constant Value Column Appender
perceber se há missing values
Statistics
Bar Chart
CSV Reader
Comparação entre métricas dos diferentes modelos
Bar Chart
Parameter Optimization Loop Start
Linear Correlation
Normalizer (Apply)
Column Filter
Correlation Filter
Normalizer (Apply)
Table Partitioner
Parameter Optimization Loop End
Comparação entre métricas dos diferentes modelos
Bar Chart
ROC Curve
Column Filter
Métricas
Scorer
SMOTE
Column Renamer
Normalizer
Column Filter
Exclui 1 feature em cada par com correlação acima do Treshold
Correlation Filter
Column Filter
Guardar nome do modelo
Constant Value Column Appender
Column Renamer
Parameter Optimization Loop End
Column Filter
Gradient Boosted Trees Learner
Normalizer (Apply)
Parameter Optimization Loop Start
Row Filter
Rule Engine
Correlation Filter
10NN
K Nearest Neighbor
Bar Chart
Métricas
Scorer
Métricas
Scorer
Row Filter
Column Filter
Random Forest Learner
Gradient Boosted Trees Predictor
Métricas
Scorer
Constant Value Column Appender
Gradient Boosted Trees Predictor
Guardar nome do modelo
Constant Value Column Appender
Capacidade geral de distinguir as classes
ROC Curve
Normalizer
Row Filter
CSV Reader
Gradient Boosted Trees Learner
Comparação entre métricas dos diferentes modelos
Bar Chart
Normalizer (Apply)
Divisão 80% treino / 20% teste
Table Partitioner
Linear Correlation
Capacidade geral de distinguir as classes
ROC Curve
Gradient Boosted Trees Learner
Parameter Optimization Loop End
Gradient Boosted Trees Predictor
Domain Calculator
Guardar nome do modelo
Constant Value Column Appender
Parameter Optimization Loop Start
Capacidade geral de distinguir as classes
ROC Curve
Capacidade geral de distinguir as classes
ROC Curve
Avalia correlação entre cada par de Features
Linear Correlation
SMOTE
5NN
K Nearest Neighbor
ROC Curve
Avalia correlação entre cada par de Features
Linear Correlation
Exclui 1 feature em cada par com correlação acima do Treshold
Correlation Filter
Guardar nome do modelo
Constant Value Column Appender
Juntar os scorers todosna mesma tabela
Concatenate
Guardar nome do modelo
Constant Value Column Appender
Guardar nome do modelo
Constant Value Column Appender
Avalia correlação entre cada par de Features
Linear Correlation
Métricas
Scorer
Decision Tree Predictor
Guardar nome do modelo
Constant Value Column Appender
Guardar nome do modelo
Constant Value Column Appender
Exclui 1 feature em cada par com correlação acima do Treshold
Correlation Filter
Avalia correlação entre cada par de Features
Linear Correlation
Métricas
Scorer
Normalizer
CSV Reader
Capacidade geral de distinguir as classes
ROC Curve
Exclui 1 feature em cada par com correlação acima do Treshold
Correlation Filter
Row Filter
Gradient Boosted Trees Predictor
Random Forest Predictor
Gradient Boosted Trees Learner
Divisão 80% treino / 20% teste
Table Partitioner
Métricas
Scorer
Comparação entre métricas dos diferentes modelos
Bar Chart
Gradient Boosted Trees Learner
Métricas
Scorer
CSV Reader
Constant Value Column Appender
Métricas
Scorer
Domain Calculator
Linear Correlation
Domain Calculator
filtrar apenas graduated and dropout
Row Filter
Table Partitioner
Normalizer
Correlation 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: anari
Created at: 2026-05-07
On NodePit since: 2026-06-03
Last update: 2026-06-07
Created with KNIME version: v5.11.0

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