Table 4 Ensemble weights (w1—ResNet101V2 weight, w2—InceptionV3 weight, w3—VGG16 weight).

From: FPA-based weighted average ensemble of deep learning models for classification of lung cancer using CT scan images

Optimization approach

w1

w2

w3

PSO

1.47317666

0.02231541

-0.49549207

ACO

0.6690251

0.30036992

0.03060498

BO

0

0.5

0.5

ABC

0.09638598

0.45382036

0.44979365

FPA

0.17642552

0.3318414

0.49173307

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