The Role of Medication Data to Enhance the Prediction of Alzheimer’s Progression Using Machine Learning

Table 3

The performance for the sMCI vs pMCI task.

		Testing performance				Cross-validation performance
Model	Dataset	A		R	F1	A		R	F1
RF	CS	82.98	63.64	63.64	63.64	87.76  4.0	88.56  5.3	87.14  6.3	87.66  4.0
	AM	59.57	33.33	72.73	45.71	73.56  5.2	70.70  5.1	81.05  7.9	75.37  4.8
	AM-CS	85.11	66.67	72.73	69.57	87.90  4.1	87.47  4.8	88.68  6.7	87.96  4.2
DT	CS	87.16	75.00	81.82	78.26	89.30  3.7	88.37  4.7	88.97  4.7	88.58  3.6
	AM	55.32	40.77	72.73	52.25	72.79  5.4	69.71  4.4	81.03  8.8	74.79  5.2
	AM-CS	89.36	80.00	72.73	76.19	89.54  3.6	89.34  5.1	89.58  6.9	89.27  3.9
LR	CS	80.85	58.33	63.64	60.87	84.86  4.0	86.86  6.1	82.55  4.6	84.53  3.9
	AM	61.70	46.78	72.73	56.93	67.59  4.6	67.68  4.6	67.93  5.4	67.68  4.4
	AM-CS	87.23	76.47	77.47	76.96	87.07  4.1	87.42  4.9	86.90  6.6	86.99  4.3
SVM	CS	83.56	83.52	84.01	83.56	83.95  4.5	83.86  4.6	84.61  4.4	83.95  4.5
	AM	69.68	69.47	70.21	69.68	67.51  4.0	67.07  4.1	68.55  4.5	67.51  4.0
	AM-CS	86.57	86.57	86.65	86.57	87.10  4.7	87.06  4.7	87.48  4.6	87.1  4.72
KNN	CS	81.94	81.51	85.23	81.94	83.41  3.6	82.99  3.9	86.66  3.0	83.41  3.6
	AM	75.69	74.90	79.45	75.69	66.39  6.7	65.46  7.8	67.71  6.6	66.39  6.7
	AM-CS	75.23	74.92	76.50	75.23	79.62  4.4	79.44  4.5	80.59  4.4	79.62  4.9