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Table 2 Classification accuracy performance of deep features based on leave-one-out strategy (%)

From: Rapid identification of COVID-19 severity in CT scans through classification of deep features

Backbone Discriminant Linear SVM Cubic SVM KNN Boosted trees
Inception-V3 78.88 86.15 92.47 93.69 85.32
ResNet-50 80.52 89.03 93.02 92.73 87.11
ResNet-101 78.74 90.53 93.69 93.96 89.44
DenseNet-201 65.95 90.53 95.34 94.24 89.57
  1. The highest performance value is in italics