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. Author manuscript; available in PMC: 2020 Feb 4.
Published in final edited form as: IEEE Access. 2019 Oct 25;7:155584–155600. doi: 10.1109/ACCESS.2019.2949577

TABLE VII.

More parameters were explored to develop machine learning models using structural MRI data. Sigma representing the Gaussian kernels was considered, including four values. The idea behind employing nine metrics to evaluate the performance of classification of the models, as explained above, is applied to MCADNNet models using structural MRI data. The qualitative analyses show that the measures are highly correlated with accuracy rates obtained from the previous analysis. As mentioned in the fMRI analysis, the findings allowed us to use the accuracy rates for model comparisons.

MCADNNet - Structural MRI
Precision Recall F1-Score
Experiment Repetition σ Micro Avg. Macro Avg. Weighted Avg. Micro Avg. Macro Avg. Weighted Avg Micro Avg. Macro Avg. Weighted Avg.
1 S0 0.98 0.98 0.98 0.98 0.96 0.98 0.98 0.97 0.98
S2 0.98 0.98 0.98 0.98 0.96 0.98 0.98 0.97 0.98
S3 0.98 0.98 0.98 0.98 0.94 0.98 0.98 0.96 0.98
S4 0.98 0.98 0.98 0.98 0.94 0.98 0.98 0.96 0.98
2 S0 0.98 0.98 0.98 0.98 0.95 0.98 0.98 0.96 0.98
S2 0.98 0.98 0.98 0.98 0.95 0.98 0.98 0.96 0.98
S3 0.98 0.98 0.98 0.98 0.94 0.98 0.98 0.96 0.98
S4 0.98 0.98 0.98 0.98 0.94 0.98 0.98 0.96 0.98
AD_NC 3 S0 0.99 0.98 0.99 0.99 0.96 0.99 0.99 0.97 0.99
S2 0.98 0.98 0.98 0.98 0.96 0.98 0.98 0.97 0.98
S3 0.98 0.98 0.98 0.98 0.96 0.98 0.98 0.97 0.98
S4 0.98 0.98 0.98 0.98 0.96 0.98 0.98 0.97 0.98
4 S0 0.99 0.98 0.99 0.99 0.97 0.99 0.99 0.97 0.99
S2 0.99 0.98 0.99 0.99 0.97 0.99 0.99 0.97 0.99
S3 0.98 0.97 0.98 0.98 0.95 0.98 0.98 0.96 0.98
S4 0.97 0.95 0.97 0.97 0.93 0.97 0.97 0.94 0.97
5 S0 0.96 0.95 0.96 0.96 0.9 0.96 0.96 0.92 0.96
S2 0.97 0.95 0.97 0.97 0.93 0.97 0.97 0.94 0.97
S3 0.95 0.94 0.95 0.95 0.87 0.95 0.95 0.9 0.95
S4 0.97 0.95 0.97 0.97 0.92 0.97 0.97 0.93 0.97
1 S0 0.94 0.95 0.94 0.94 0.93 0.94 0.94 0.94 0.94
S2 0.94 0.95 0.94 0.94 0.91 0.94 0.94 0.93 0.94
S3 0.94 0.95 0.94 0.94 0.93 0.94 0.94 0.94 0.94
S4 0.94 0.95 0.94 0.94 0.92 0.94 0.94 0.93 0.94
2 S0 0.94 0.95 0.94 0.94 0.92 0.94 0.94 0.93 0.94
S2 0.95 0.96 0.95 0.95 0.94 0.95 0.95 0.95 0.95
S3 0.95 0.95 0.95 0.95 0.94 0.95 0.95 0.94 0.95
S4 0.95 0.96 0.95 0.95 0.94 0.95 0.95 0.95 0.95
AD_NC_MCI 3 S0 0.94 0.95 0.94 0.94 0.92 0.94 0.94 0.93 0.94
S2 0.95 0.96 0.95 0.95 0.94 0.95 0.95 0.95 0.95
S3 0.95 0.95 0.95 0.95 0.94 0.95 0.95 0.94 0.95
S4 0.95 0.96 0.95 0.95 0.93 0.95 0.95 0.94 0.95
4 S0 0.95 0.96 0.95 0.95 0.94 0.95 0.95 0.95 0.95
S2 0.95 0.95 0.95 0.95 0.93 0.95 0.95 0.94 0.95
S3 0.95 0.96 0.95 0.95 0.93 0.95 0.95 0.94 0.95
S4 0.88 0.88 0.88 0.88 0.84 0.88 0.88 0.86 0.88
5 S0 0.89 0.89 0.89 0.89 0.87 0.89 0.89 0.88 0.89
S2 0.87 0.88 0.87 0.87 0.85 0.87 0.87 0.86 0.87
S3 0.88 0.88 0.88 0.88 0.86 0.88 0.88 0.87 0.88
S4 0.88 0.88 0.88 0.88 0.85 0.88 0.88 0.86 0.88
1 S0 0.95 0.95 0.95 0.95 0.94 0.95 0.95 0.95 0.95
S2 0.95 0.95 0.95 0.95 0.94 0.95 0.95 0.94 0.95
S3 0.95 0.95 0.95 0.95 0.95 0.95 0.95 0.95 0.95
S4 0.94 0.94 0.94 0.94 0.94 0.94 0.94 0.94 0.94
2 S0 0.95 0.95 0.95 0.95 0.95 0.95 0.95 0.95 0.95
S2 0.95 0.96 0.95 0.95 0.95 0.95 0.95 0.95 0.95
S3 0.96 0.96 0.96 0.96 0.95 0.96 0.96 0.95 0.96
S4 0.95 0.95 0.95 0.95 0.95 0.95 0.95 0.95 0.95
AD_MCI 3 S0 0.96 0.96 0.96 0.96 0.96 0.96 0.96 0.96 0.96
S2 0.96 0.96 0.96 0.96 0.95 0.96 0.96 0.96 0.96
S3 0.96 0.96 0.96 0.96 0.95 0.96 0.96 0.96 0.96
S4 0.96 0.96 0.96 0.96 0.96 0.96 0.96 0.96 0.96
4 S0 0.96 0.96 0.96 0.96 0.96 0.96 0.96 0.96 0.96
S2 0.95 0.95 0.95 0.95 0.95 0.95 0.95 0.95 0.95
S3 0.96 0.96 0.96 0.96 0.96 0.96 0.96 0.96 0.96
S4 0.9 0.89 0.9 0.9 0.89 0.9 0.9 0.89 0.9
5 S0 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89 0.89
S2 0.88 0.88 0.88 0.88 0.88 0.88 0.88 0.88 0.88
S3 0.9 0.9 0.9 0.9 0.89 0.9 0.9 0.9 0.9
S4 0.9 0.89 0.9 0.9 0.89 0.9 0.9 0.89 0.9
1 S0 0.99 0.99 0.99 0.99 0.96 0.99 0.99 0.97 0.99
S2 0.99 0.99 0.99 0.99 0.95 0.99 0.99 0.97 0.99
S3 0.99 0.98 0.99 0.99 0.95 0.99 0.99 0.97 0.99
S4 0.99 0.98 0.98 0.99 0.95 0.99 0.99 0.96 0.98
2 S0 0.98 0.98 0.98 0.98 0.95 0.98 0.98 0.96 0.98
S2 0.99 0.98 0.98 0.99 0.95 0.99 0.99 0.96 0.98
S3 0.99 0.99 0.99 0.99 0.97 0.99 0.99 0.98 0.99
S4 0.99 0.98 0.99 0.99 0.96 0.99 0.99 0.97 0.99
NC_MCI 3 S0 0.99 0.99 0.99 0.99 0.95 0.99 0.99 0.97 0.99
S2 0.99 0.98 0.99 0.99 0.95 0.99 0.99 0.97 0.99
S3 0.99 0.98 0.99 0.99 0.96 0.99 0.99 0.97 0.99
S4 0.99 0.99 0.99 0.99 0.96 0.99 0.99 0.97 0.99
4 S0 0.99 0.98 0.99 0.99 0.96 0.99 0.99 0.97 0.99
S2 0.99 0.98 0.99 0.99 0.95 0.99 0.99 0.97 0.99
S3 0.99 0.98 0.99 0.99 0.96 0.99 0.99 0.97 0.99
S4 0.97 0.95 0.97 0.97 0.91 0.97 0.97 0.93 0.97
5 S0 0.97 0.96 0.97 0.97 0.9 0.97 0.97 0.93 0.97
S2 0.97 0.96 0.97 0.97 0.92 0.97 0.97 0.94 0.97
S3 0.98 0.96 0.98 0.98 0.95 0.98 0.98 0.96 0.98
S4 0.97 0.95 0.97 0.97 0.92 0.97 0.97 0.94 0.97