Figure A2.

Female single-fidelity drug-induced risk classifier. (Upper) Initial exploration of the drug-induced de- and repolarization abnormality risk parameter space. The first 25 internal latin hypercube samples of the $\mathcal{B}=\left\{{\beta }_{\mathrm{\text{Kr}}},{\beta }_{\mathrm{\text{CaL}}}\right\}$ parameter space were evaluated for female midwall cell abnormalities, as showcased in the upper middle plot. Transmembrane potential evolution profiles of two normal and two early depolarizing samples are shown on the upper left plot. Using this exploratory $\mathcal{B}$ dataset, an initial single-fidelity drug-induced risk classifier was trained for the female midwall cell, see upper right subplot. (Lower) Exploration and exploitation of the drug-induced risk classification boundary using active learning. The Gaussian process classifier was trained further using 25 additional active learning {β_Kr, β_CaL} samples. On the lower left, four active learning sample evaluations resulting in abnormalities are shown. The lower middle plot showcases four active learning sample evaluations that showed normal action potentials. The final female cellular drug-induced risk classification boundary is shown in the lower right plot.