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Table 7 A comparison of the accuracy scores across the 6 different classification models (statistical and machine learning techniques)

From: A novel genomic panel as an adjunctive diagnostic tool for the characterization and profiling of breast Fibroepithelial lesions

Model

Accuracy Score

Logistic Regression

0.87

Gradient Boosting

0.85

Random Forest

0.82

Decision Tree

0.76

Support Vector Machine

0.77

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BMC Medical Genomics

ISSN: 1755-8794

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