Abstract: A method for monitoring performance of a ML system includes receiving a data stream via a processor and generating a first plurality of metrics based on the data stream. The processor also generates input data based on the data stream, and sends the input data to a machine learning (ML) model for generation of intermediate output and model output based on the input data. The processor also generates a second plurality of metrics based on the intermediate output, and a third plurality of metrics based on the model output. An alert is generated based on at least one of the first plurality of metrics, the second plurality of metrics, or the third plurality of metrics, and a signal representing the alert is sent for display to a user via an interface.

Abstract: Disposable liquid absorbent mats are described. The mats generally include at least a liquid absorbent layer and a liquid impervious layer. The liquid absorbent layer may be made from a tissue web, a hydroentangled web, an airlaid web, a coform web, and the like. The liquid impervious layer, on the other hand, may comprise a meltspun web, a film, a hydroentangled web, or even a tissue web that has been treated with a sizing agent that renders the web resistant to fluid flow. In one embodiment, the mats can be made so as to have a relatively low caliper so that the mats can be spirally wound into a roll. In other embodiments, however, the mats may be packaged in a stacked arrangement. The mats have various uses and applications. For instance, the mats are well suited for use during food preparation. The mats are well suited to absorbing fluids while preventing the fluids from striking through the product. In some embodiments, the mats are also well suited to serve as an absorbent and cut resistant surface.