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1. A method comprising: processing a plurality of disks within a storage device, wherein the plurality of disks comprise a plurality of tracks and at least one of the plurality of disks is processed by: scanning a subset of the plurality of tracks for defects; generating sparse map data based on the scanned tracks; reconstructing the generated sparse map data to prepare the data for input into one or more machine learning process; inputting the reconstructed sparse map data into the one or more machine learning processes, wherein the one or more machine learning processes generates an output; in response to a background process being available, selecting a dense scan area based on the available sparse map data; and evaluating the plurality of disks comprising the plurality of tracks that were scanned based on the output of the one or more machine learning processes.
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