Fig. 5: Distribution of predictions across all cross-validation folds and random seeds per compound in the blind testing set, for neural networks trained using FS15/DS60 (left) and FS75 / DS60 (right). | npj Materials Degradation

Fig. 5: Distribution of predictions across all cross-validation folds and random seeds per compound in the blind testing set, for neural networks trained using FS15/DS60 (left) and FS75 / DS60 (right).

From: Searching the chemical space for effective magnesium dissolution modulators: a deep learning approach using sparse features

Fig. 5

Boxes are coloured according to the compound’s mean predicted IE values in %. Compounds are sorted by descending mean experimental IE values, which are depicted as coloured diamonds.

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