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Table 2 Cross-validation and sample testing results for Ki67

From: Artificial image objects for classification of breast cancer biomarkers with transcriptome sequencing data and convolutional neural network algorithms

  Accuracy AUC Precision Recall F1-score
Cross-validation      
Ki67-    0.815 ± 0.036 0.834 ± 0.022 0.824 ± 0.026
Ki67 +  0.821 ± 0.023 0.891 ± 0.021 0.831 ± 0.016 0.811 ± 0.036 0.820 ± 0.024
Weighted average 0.821 ± 0.023 0.891 ± 0.021 0.822 ± 0.023 0.822 ± 0.024 0.822 ± 0.024
Sample testing on GSE81538      
Ki67-    0.886 ± 0.010 0.796 ± 0.048 0.837 ± 0.021
Ki67 +  0.826 ± 0.037 0.883 ± 0.016 0.763 ± 0.036 0.864 ± 0.021 0.809 ± 0.016
Weighted average 0.826 ± 0.037 0.883 ± 0.016 0.833 ± 0.021 0.825 ± 0.036 0.825 ± 0.019