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EJNMMI Research

Table 4 Models’ performance on average, after 100 nested cross-validation procedures

From: Relevance of 18F-DOPA visual and semi-quantitative PET metrics for the diagnostic of Parkinson disease in clinical practice: a machine learning-based inference study

Model

Mean accuracy (std)

k-NN

80.9 ± 1.55

Log regression (Elastic Net)

80 ± 1.44

Random forest

78.1 ± 2.25

SVM

78.4 ± 1.46

XGBoost

79.3 ± 2.5

  1. After 100 iterations, the k-NN scheme was the best model on average
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