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. Author manuscript; available in PMC: 2020 Jul 31.
Published in final edited form as: Crit Rev Toxicol. 2018 Feb 23;48(5):359–374. doi: 10.1080/10408444.2018.1429386

Table 3.

Defined Approach (DA) performance in predicting human hazard (sensitizer/non-sensitizer).

Predicting Human Hazard
Defined Approach: BASF 2/3
(DKH)
Kao
STS
Kao
ITS
ICCVAM SVM
(Human)
Shiseido ANN
(D_hC)
Shiseido
ANN
(D_hC_KS)
P&G BN ITS-3 LLNA
N 127 126 120 120 126 126 119 128
Accuracy (%)* 77.2 80.2 85.0 81.7 78.6 78.6 75.6 74.2
Sensitivity (%) 79.3 97.7 93.8 86.4 95.4 100 81.3 85.2
Specificity (%) 72.5 41.0 66.7 71.8 41.0 30.8 64.1 50.0
BA (%) 75.9 69.4 80.3 79.1 68.2 65.4 72.7 67.6
*

Performance is shown against the maximum subset (N) out of 128 substances with all necessary DA features. Abbreviations: BA: Balanced Accuracy, 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