Table 5.

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

Predicting Human 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	LLNA
N	126	120	126	126	115	128
Accuracy (%)*	63.5	69.2	61.1	62.7	54.8	59.4
Over-predicted (%)	22.2	13.3	22.2	25.4	20.0	19.5
Under-predicted (%)	14.3	17.5	16.7	11.9	25.2	21.1

^*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 misclassifications varied by one class only (i.e. no non-sensitizers were predicted as strong sensitizers or vice versa). Abbreviations: 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