Table 2 Predictive model performance evaluation indicators

From: Explainable artificial intelligence with negative sample optimization for archaeological site prediction in Surkhandarya Uzbekistan

Sample method

Model

Accuracy

Precision

Recall

F1 Score

AUC

Random

RF

0.798

0.764

0.808

0.785

0.844

Random

KNN

0.754

0.700

0.808

0.750

0.826

Random

XGBoost

0.781

0.721

0.846

0.779

0.849

Random

SVM

0.789

0.726

0.865

0.789

0.814

Random

LR

0.737

0.690

0.769

0.727

0.808

Kernel Density

RF

0.912

0.892

0.951

0.921

0.958

Kernel Density

KNN

0.912

0.881

0.967

0.922

0.940

Kernel Density

XGBoost

0.930

0.896

0.984

0.938

0.936

Kernel Density

SVM

0.912

0.892

0.951

0.921

0.966

Kernel Density

LR

0.895

0.866

0.951

0.906

0.944