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Table 3 Average AUCs (+ standard deviation) across 100 repetitions of cross validation from the models corresponding to different combinations of three classifiers (column 1) and four feature ranking methods (column 2) for five different classification tasks (columns 3–6: Experiment 1A, 1B, 1C, 2A, and 2B)

From: Quantitative nuclear histomorphometric features are predictive of Oncotype DX risk categories in ductal carcinoma in situ: preliminary findings

Classifiers Feature ranking methods High vs. low High vs. intermediate Intermediate vs. low High + intermediate vs. low High vs. low + intermediate
SVM Covariance 0.66 ± 0.11 0.64 ± 0.19 0.56 ± 0.15 0.62 ± 0.08 0.65 ± 0.12
WRST 0.64 ± 0.11 0.61 ± 0.16 0.55 ± 0.14 0.61 ± 0.08 0.66 ± 0.12
MRMR-mid 0.68 ± 0.12 0.67 ± 0.18 0.53 ± 0.17 0.61 ± 0.10 0.63 ± 0.13
MRMR-miq 0.67 ± 0.13 0.65 ± 0.17 0.54 ± 0.17 0.62 ± 0.10 0.64 ± 0.12
LDA Covariance 0.65 ± 0.11 0.62 ± 0.19 0.57 ± 0.15 0.63 ± 0.09 0.65 ± 0.09
WRST 0.63 ± 0.12 0.61 ± 0.18 0.53 ± 0.16 0.62 ± 0.08 0.64 ± 0.12
MRMR-mid 0.65 ± 0.13 0.66 ± 0.19 0.54 ± 0.15 0.61 ± 0.09 0.64 ± 0.12
MRMR-miq 0.64 ± 0.13 0.64 ± 0.21 0.55 ± 0.15 0.61 ± 0.09 0.66 ± 0.12
QDA Covariance 0.62 ± 0.13 0.60 ± 0.18 0.54 ± 0.15 0.61 ± 0.09 0.64 ± 0.12
WRST 0.59 ± 0.13 0.59 ± 0.15 0.52 ± 0.16 0.62 ± 0.09 0.63 ± 0.11
MRMR-mid 0.61 ± 0.14 0.61 ± 0.17 0.51 ± 0.15 0.58 ± 0.11 0.62 ± 0.14
MRMR-miq 0.63 ± 0.12 0.62 ± 0.18 0.53 ± 0.16 0.60 ± 0.10 0.63 ± 0.12