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Table 4 Random forest error measurement

From: Exploring the role of topological descriptors to predict physicochemical properties of anti-HIV drugs by using supervised machine learning algorithms

PP

MW

Comp

Den

FP

MV

ST

Pol

BP

EV

MAE

14.3971

21.690

0.0506

18.9814

16.6246

3.01311

2.2503

30.8837

3.6944

MSE

341.1717

674.165

0.0079

418.5225

399.098

11.1851

7.2899

1127.198

18.5042

RMSE

18.47083

25.9646

0.06277

20.4578

19.977

3.3444

2.6999

33.573

4.3016

R2

0.9864

0.9897

0.8817

0.9705

0.9815

0.8152

0.9799

0.9709

0.9761

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BMC Chemistry

ISSN: 2661-801X

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