Research Article

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

Table 4

The performance for the AD vs sMCI task.

Testing performanceCross-validation performance
ModelDatasetARF1ARF1

RFCS94.1494.1494.2494.1494.76  2.794.66  2.995.1  2.6594.71  2.8
AM77.4877.4377.7677.4877.12  4.976.8  5.1178.59  4.877.46  5.1
AM-CS94.8294.8294.8394.8294.96  2.494.96  2.595.20  2.394.91  2.4

DTCS88.5288.5088.6688.5293.02  2.793.01  2.793.36  2.593.08  2.7
AM73.4273.2274.1873.4275.76  5.175.18  5.278.42  5.475.76  5.1
AM-CS84.9184.9085.0584.9193.66  3.093.76  2.893.83  2.793.69  2.9

LRCS92.3492.3492.4092.3494.05  2.494.5  2.3994.64  2.394.05  2.4
AM72.3071.9273.5472.3078.99  4.278.8  4.3280.02  4.178.99  4.2
AM-CS95.9595.9595.9895.9594.12  2.894.11  2.894.27  2.794.12  2.8

SVMCS89.8689.8689.8989.8694.19  3.394.18  3.394.36  3.294.19  3.3
AM75.2375.2275.2475.2377.82  5.977.44  6.179.5  5.7777.82  5.9
AM-CS90.0990.0990.1490.0994.50  2.694.5  2.6194.64  2.594.5  2.6

KNNCS92.7992.7992.8192.7994.17  2.994.16  2.994.29  2.994.17  2.9
AM70.2770.0470.9470.2778.10  4.077.82  4.179.46  3.878.10  4.0
AM-CS94.8294.8294.9494.8294.00  2.893.99  2.894.14  2.894.0  2.86