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Table 1 Estimated classifier performance for breast cancer, pathological complete response

From: Win percentage: a novel measure for assessing the suitability of machine classifiers for biological problems

Gene 1 Gene 2 NC DLDA LDA SDA UDA QDA
217764_s_at 215127_s_at 0.812* 0.774 0.771 0.752 0.743 0.748
219233_s_at 205225_at 0.787 0.818* 0.770 0.781 0.799 0.775
216092_s_at 220040_x_at 0.785 0.787 0.796* 0.782 0.782 0.776
219438_at 218663_at 0.761 0.763 0.762 0.806* 0.777 0.771
203928_x_at 217297_s_at 0.739 0.744 0.759 0.793 0.810* 0.802
213228_at 212956_at 0.764 0.761 0.761 0.765 0.799 0.809*
  1. * Top performing classifier and any classifiers that do not have a significantly lower mean using a paired t-test with α = 0.05.