Table 5.

Comparison of Bias Correction techniques for improving bias angle and overall error. From top to bottom we have our best individual predictor RF GE (bolded). RF GE ensembled with our KNN utilizing the drug targets. RF GE ensembled with NN GE alone. RF GE ensembled with RF Phys Residual. Linear ensemble of all methods that are bolded in Table 2. For each method we shows correlation coefficient between predicted and actual AUCs (correlation), normalized mean squared error(NMSE), mean θ across all drugs (θ_μ), and 95% bootstrap confidence interval lower and upper bounds, (θ_L and θ_H respectively) BC1 and RRot denote our RF GE corrected using techniques found in [5]

	Correlation	NMSE	θ μ	θ L	θ H
RF GE	0.7276	0.7910	38.27°	37.34°	39.04°
RF GE + KNN Residual	0.7550	0.7225	35.23°	34.07°	36.30°
RF GE + NNGE	0.7258	0.7919	38.22°	37.39°	39.03°
RF GE + RF Phys Residual	0.7504	0.7341	35.26°	34.23°	36.12°
Linear StackingEnsemble	0.7746	0.6705	34.25°	33.15°	35.26°
BC1	0.7184	0.8092	40.61°	40.00°	41.11°
RRot	0.7084	0.8382	40.60°	40.02°	41.12°