Table 1. Statistical measures for evaluating the performance of the multitask network for both iPSC-CM AP trace classification into drug-free and drugged categories and their translation into adult-CM APs for training and test datasets as well as the effect of removing LSTM layers and classification task on the network performance.

Translation
Performance metrics		MSE		R2 score		Error in APD90 prediction
Training dataset		0.0027		0.992		3.41%
Test dataset		0.0029		0.991		3.60%
Remove LSTM layers test dataset		0.0031		0.991		3.78%
Remove classification task test dataset		0.0034		0.990		4.33%
Classification
Performance metrics	AUROC		Accuracy		Recall		Precision
Training dataset	0.93		92%		0.92		0.93
Test dataset	0.91		92%		0.92		0.92
Remove LSTM layers test dataset	0.90		92%		0.90		0.91
iPSC-CM: induced pluripotent stem cell-derived cardiomyocyte; AP: action potential; adult-CM: adult cardiomyocyte; AP: action potential; AUROC: area under the receiver operating characteristic curve; LSTM: long-short-term-memory.