Skip to main content

Table 2 Model performance

From: Differentiation between cerebral alveolar echinococcosis and brain metastases with radiomics combined machine learning approach

Classifier

Brier loss

Log loss

Acc.

Recall

F1

Sen.

Spe.

Npv.

Ppv.

LDA

0.160

0.601

0.810

1.000

0.778

1.000

0.714

1.000

0.636

LR

0.231

1.091

0.714

0.857

0.667

0.857

0.643

0.900

0.545

SVC

0.159

0.507

0.762

0.857

0.706

0.857

0.714

0.909

0.600

KNN

0.130

0.396

0.857

1.000

0.824

1.000

0.786

1.000

0.700

NB

0.199

0.751

0.762

1.000

0.737

1.000

0.643

1.000

0.583

  1. LDA, linear disclination analysis; LR, logistic regression; SVC, support vector classifier; KNN, K-nearest neighbors; NB; Gaussian naïve bayes; Acc., accuracy; Sen., sensitivity; Spe., specificity; Npv., negative predictive value; Ppv., positive predictive value
Back to article page

European Journal of Medical Research

ISSN: 2047-783X

Contact us