Table 2 Summary of the presented classification models.

From: Collection of 2429 constrained headshots of 277 volunteers for deep learning

Label

Method

Number of headshots

Pixels per sample

Augmentation

Cross-vallidation

Accuracy

F-score

Female

Jubatus

277

75

1×

Leave-one-voluneteer-out

0.765

0.767

Female

Random forest

277

75

1×

Leave-one-voluneteer-out

0.791

0.803

Female

LightGBM

277

75

1×

Leave-one-voluneteer-out

0.801

0.812

Female

Random forest

2429

299 × 299

10×

Leave-one-voluneteer-out

0.8600

0.8671

Female

CNN

2429

299 × 299

10×

Leave-one-voluneteer-out

0.9642

0.9621

Smilling

CNN

668 × 2

299 × 299

10×

10-fold

0.9303

0.9297