Decision Tree in R : Metaprotein

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Decision Tree

We have implemented the following algorithms of Decision Trees for comparison of accuracy

• CART
• C 4.5
• C 5.0

We have taken half (1/2) of our Heart Failure Prediction Dataset to be used as Training Dataset & (1/2) to be used as Testing Dataset

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CART - Classification & Regression Trees

Confusion Matrix: Prediction on Test Dataset

Accuracy = 15/24 = 62.5 %

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Decision Tree (C 4.5)

Confusion Matrix: Prediction on Test Dataset

Accuracy = 17/24 = 70.8 %

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Decision Tree (C 5.0)

Confusion Matrix: Prediction on Test Dataset

Accuracy = 17/24 = 70.8 %

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