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Table 6 Comparison of before and after processing of data imbalances

From: Peritoneal cytology predicting distant metastasis in uterine carcinosarcoma: machine learning model development and validation

GBM

ROC-AUC

Threshold

Accuracy

Sensitivity

Specificity

Precision

F1

No treatment

Train

0.906

0.189

0.814

0.89

0.796

0.517

0.654

Test

0.874

0.189

0.805

0.842

0.796

0.503

0.63

Resampling

Train

0.927

0.529

0.859

0.875

0.844

0.848

0.861

Test

0.872

0.529

0.825

0.768

0.839

0.54

0.634

Weighted

Train

0.911

0.525

0.829

0.88

0.816

0.54

0.669

Test

0.871

0.525

0.81

0.818

0.808

0.511

0.629