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Table 3 The results of machine learning algorithms with wrapper feature selection

From: Machine learning approach for Migraine Aura Complexity Score prediction based on magnetic resonance imaging data

Algorithm

R2 a

MAE b

RMSE c

SVM d

0.8934

0.5229

0.7971

LR e

0.8046

0.8710

1.0827

RBF f network

0.7309

0.9586

1.2321

  1. a R2 coefficient of determination, b MAE mean absolute error, c RMSE root mean squared error, d SVM support vector machine, e LR linear regression, f RBF radial basis function