Scientific Programming / 2020 / Article / Tab 5

Research Article

Machine Learning for the Preliminary Diagnosis of Dementia

Table 5

Performance of the diagnostic models in the classification of normal, MCI, VMD, and dementia.

AlgorithmClassPrecisionSensitivitySpecificityF-measure

Random ForestNormal0.560.880.930.69
MCI0.700.570.930.62
VMD0.680.540.940.60
Dementia0.910.950.900.93

AdaBoostNormal0.550.840.930.67
MCI0.740.540.950.63
VMD0.630.550.930.59
Dementia0.890.940.880.92

LogitBoostNormal0.560.560.980.67
MCI0.730.730.890.65
VMD0.770.770.870.47
Dementia0.830.830.980.90

MLPNormal0.770.840.740.80
MCI0.650.740.890.69
VMD0.570.370.940.45
Dementia0.880.930.870.90
Naïve BayesNormal0.560.840.940.67
MCI0.750.620.930.68
VMD0.700.720.930.71
Dementia0.950.920.950.93

SVMNormal0010
MCI0.600.960.830.74
VMD0.850.560.980.67
Dementia0.910.970.900.94

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