• 'Held out cells' data splits: To assess wider generalisation, all data from five of the seven cells were used for training, while a different cell was used for validation and the remaining cell for testing. The dataset was 'folded' in order to allow every cell to act as test cell once, and also as validation cell once. This resulted in seven dataset folds (Table ). Importantly, the data within each fold was shuffled to remove possible sources of bias due the sequence of measurements or the ordering of the cells in the dataset.