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KNIME_​projectSIAD

CSV Reader
perceber se há missing values
Statistics
distribuição das classes Target (Dropout/Graduate/Enrolled)
Value Counter
Divisão 80% treino / 20% teste
Table Partitioner
aprender com modelo.
Decision Tree Learner
Decision Tree Predictor
Capacidade geral de distinguir as classes
ROC Curve
Random Forest Predictor
Capacidade geral de distinguir as classes
ROC Curve
Accuracy de 85.4
Scorer
Accuracy de 69.6%
Scorer
Feature Selection Filter
Random Forest Learner
Accuracy de 89.9%
Scorer
K Nearest Neighbor
ROC Curve
filtrar apenas graduated and dropout
Row Filter
Normalizer

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Extensions

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