Table 3.
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