Table 2 This Confusion Matrix is achieved in fivefold-cross-validation on CPTAC Ovarian Cancer Confirmatory Study Proteomic Dataset (209 samples). The matrix compares the actual target values (Truth) with those predicted (Pred.) by our model. On first diagonal are reported the samples correctly classified, whereas on second diagonal are reported the misclassified samples.

From: Machine Learning analysis of high-grade serous ovarian cancer proteomic dataset reveals novel candidate biomarkers

Pred.

Truth

Non-tumor

Tumor

Non-tumor

40

3

Tumor

1

165