Table 3.
Performance (in %) for the different models on the holdout data set. Values are averages over 10 trials. Highest values per column are highlighted in bold. Pre-train., pre-training; Class., classifier; Bal. acc., balanced accuracy; Sens., sensitivity; Spec., specificity; AUC, area under the curve of the receiver operating characteristic; les. fill., lesions filled.
Data | Pre-train. | Class. | Bal. acc. | Sens. | Spec. | AUC |
---|---|---|---|---|---|---|
FLAIR lesion load | – | SVM | 88.46% | 76.92% | 100.00% | 94.62% |
FLAIR | – | SVM | 66.92% | 53.85% | 80.00% | 66.92% |
FLAIR | no | CNN | 71.23% | 68.46% | 74.00% | 85.46% |
FLAIR | yes | CNN | 87.04% | 93.08% | 81.00% | 96.08% |
FLAIR - les. fill. | yes | CNN | 70.15% | 92.31% | 48.00% | 90.92% |