Logistic regression over 10 bootstrap samples.
Trained for 30 epochs with 0.1 learning rate, 0.5 momentum.
Tested on out-of-sample examples for each bootstrap.

N1: All non-positive genes are assumed negative.
N2: Direct annotations to any ancestor node are not used for negatives.
AUCs: Mean ± StDev of Area under ROC Curve over 10 bootstrap samples.
C.Median: AUC of Bagging classifier, aggregating predictions by median (voting).
(Each Bagging weak classifier only contributes test output on examples held-out from it.)
Pos: Number of positive examples available.
ΔNeg: Number of negative examples removed for N2.
Recall ≥ 10%: Best precision over recalls ≥0.10 and its highest corresponding recall.
TP ≥ 10%: Best precision over recalls ≥(10/Pos) and its highest corresponding recall.

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