Table 6.

Defined Approach (DA) performance in predicting LLNA sensitizing potency.

Predicting LLNA Potency (Strong, Weak, Non-sensitizers)
Defined Approach:	Kao STS	Kao ITS	Shiseido ANN (D_hC)	Shiseido ANN (D_hC_KS)	P&G BN ITS-3
N	126	120	126	126	115
Accuracy (%)*	67.5	66.7	65.1	69.8	67.8
Over-predicted (%)	21.4	14.2	21.4	23.0	12.2
Under-predicted (%)	11.1	19.2	13.5	7.1	20.0

^*Performance was assessed for prediction of three potency classes as described in the main text, and is shown against the maximum subset (N) out of 128 substances with all necessary DA features. With the exception of the P&G BN ITS-3, all DA human potency predictions were off by one class only (i.e. no non-sensitizers predicted as strong or vice versa.) Abbreviations: LLNA: local lymph node assay, STS: sequential testing strategy, ITS: integrated testing strategy, SVM: support vector machine, ANN: artificial neural network, BN: Bayesian network, DKH and D_hC_KS: DPRA/hCLAT/KeratinoSens™, D_hC: DPRA/hCLAT