Table 4 Performance of proposed model.

From: Bootstrapping random forest and CHAID for prediction of white spot disease among shrimp farmers

Scorer

Better score is

Final ensemble scores on validation (internal or external holdout(s)) data

Final ensemble standard deviation on validation (internal or external holdout(s)) data

AUCPR

Higher

0.9902729

0.008556496

F05

Higher

0.9933036

0.005006364

F1

Higher

0.984936

0.01302901

F2

Higher

0.9758161

0.01707978

FDR

Lower

0.001194593

0.003189716

FNR

Lower

0.02554489

0.0203418

FOR

Lower

0.04246907

0.03906844

FPR

Lower

0.004822281

0.008269834

LOGLOSS

Lower

0.4509245

0.249029

MACROAUC

Higher

0.9884023

0.01103452

MACROF1

Higher

0.9844569

0.01209231

MACROMCC

Higher

0.9625525

0.02915984

MCC

Higher

0.9564286

0.03188604

NPV

Higher

0.9570081

0.03895281

PRECISION

Higher

0.9979197

0.003722273

RECALL

Higher

0.9725892

0.02315772

TNR

Higher

0.9972702

0.005393785