Table 2 Quality parameters calculated for the test set using different supervised classification algorithms for the data fusion to distinguish women with endometriosis and the healthy control women.

From: Spectrochemical differentiation in endometriosis based on infrared spectroscopy advanced data fusion and multivariate analysis

Model

AC

SENS

SPEC

F-score

G-score

PCA1-LDA4

100

100

100

100

100

PCA1-QDA5

100

100

100

100

100

PCA1-SVM6

100

100

100

100

100

SPA2-LDA4

100

100

100

100

100

SPA2-QDA5

92

100

90

94

95

SPA2-SVM6

100

100

100

100

100

GA3-LDA4

100

100

100

100

100

GA3-QDA5

100

100

100

100

100

GA3-SVM6

100

100

100

100

100

  1. 1PCA, principal component analysis.
  2. 2SPA, successive projections algorithm.
  3. 3GA, genetic algorithm.
  4. 4LDA, linear discriminant analysis.
  5. 5QDA, quadratic discriminant analysis.
  6. 6SVM, support vector machine.
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