Fig. 5 | Scientific Reports

Fig. 5

From: Machine learning for the prediction of augmented renal clearance (ARC) in patients with sepsis in critical care units

Fig. 5

Two examples for explaining individuals’ prediction results using the LIME algorithm. The length of the bar for each feature reflects the weight of that feature in the prediction. A longer bar represents a characteristic that contributes more to ARC (example 1) or to non-ARC (example 2). In this context, example 1 has a higher risk of ARC while there is a higher probability to have no ARC for example 2.

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