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Table 9 Ensemble model trained on TVAE generated dataset

From: Implementation of ensemble machine learning algorithms on exome datasets for predicting early diagnosis of cancers

Classifier

Cancer class

A

B

C

D

E

Evaluation metrics

     

Ensemble model

Precision

0.68

0.80

0.82

0.75

0.72

Recall

0.56

0.79

0.72

0.97

0.67

F1-score

0.61

0.79

0.77

0.84

0.69

Weighted accuracy

0.765

  1. A: High-grade serous ovarian cancer; B: Human diffuse-type gastric cancer; C: Intrahepatic cholangiocarcinoma; D: Non BRCA1/BRCA2 familial breast cancer; E: Pancreatic adenocarcinoma