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Table 9 Establishing method significance using the “Training_Data” set

From: Classification of Parkinson’s disease utilizing multi-edit nearest-neighbor and ensemble learning algorithms with speech samples

Significant difference

LOO

LOSO

Accuracy

Sensitivity

Specificity

Accuracy

Sensitivity

Specificity

DNNE (with MENN)

 SVM (linear)

<0.0001

<0.0001

0.1888

<0.0001

<0.0001

0.0169

 SVM (RBF)

<0.0001

<0.0001

<0.0001

0.0695

<0.0001

0.0207

DNNE (with MENN)

 RF (with MENN)

0.3944

0.9469

0.2596

0.1358

0.1071

0.6319

RF (with MENN)

 SVM (linear)

<0.0001

<0.0001

0.6265

<0.0001

<0.0001

0.0111

 SVM (RBF)

0.1454

<0.0001

<0.0001

<0.0001

<0.0001

0.1558

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