Table 1 Prediction results on the fivefold test sets for models trained with both view and location contrast.

From: A pioneering artificial intelligence tool to predict treatment outcomes in ovarian cancer via diagnostic laparoscopy

 

AUROC

AUPRC

Sensitivity

Specificity

Precision

F1 Score

MCC

 

Results on the fivefold test sets [mean (± standard deviation)]

Image group

0.820

0.342

0.747

0.748

0.154

0.201

0.195

(± 0.182)

(± 0.173)

(± 0.339)

(± 0.097)

(± 0.103)

(± 0.142)

(± 0.171)

Patient

0.819

0.586

0.883

0.716

0.339

0.489

0.431

(± 0.119)

(± 0.211)

(± 0.145)

(± 0.075)

(± 0.058)

(± 0.079)

(± 0.131)

 

Out-of-fold results on the whole dataset

Image group

0.654

0.148

0.302

0.767

0.123

0.175

0.048

Patient

0.807

0.424

0.875

0.717

0.333

0.483

0.426