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Table 3 Model performance for the 5-year survival

From: Predictive model of prognosis index for invasive micropapillary carcinoma of the breast based on machine learning: a SEER population-based study

Algorithms

Accuracy

Speificity

Precision

PPV

NPV

AUCa

SVM-train

0.868

0.992

0.912

0.912

0.864

0.936

SVM-test

0.863

0.989

0.889

0.889

0.861

0.814

KNN-train

0.859

0.971

0.761

0.761

0.870

0.861

KNN-test

0.829

0.968

0.667

0.667

0.843

0.743

RandomForest-train

0.959

0.989

0.949

0.949

0.962

0,986

RandomForest-test

0.863

0.947

0.706

0.706

0.890

0.787

ExtraTrees-train

0.964

1.000

1.000

1.000

0.957

0.994

ExtraTrees-test

0.846

0.936

0.647

0.647

0.880

0.751

XGBoost-train

0.878

0.984

0.867

0.867

0.880

0.931

XGBoost-test

0.863

0.979

0.818

0.818

0.868

0.863

  1. aAUC: area under the curve