Table 4 Top two model’s performance.

From: Deconstructability prediction for building using machine learning and ensemble feature selection techniques

Model

Features used

Accuracy

Precision

Recall

F1

AUC

SVM P

All features

0.7714

0.7333

0.8425

0.7761

0.8852

MLP

Features from Ensemble FS

0.7418

0.7795

0.8137

0.744

0.8182

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