Machine learning data cleaning

A method comprising:

• an information handling system receiving time-series data regarding measurements of a physical variable;
• the information handling system determining that missing data points are missing from the time-series data, wherein the missing data points correspond to particular days of the week;
• and
• for each missing data point of the missing data points, the information handling system:
• in response to a determination that earlier corresponding data from the particular day of the week of an earlier week is available, copying the earlier corresponding data to replace the missing data;
• in response to a determination that later corresponding data from the particular day of the week of a later week is available, copying the later corresponding data to replace the missing data;
• and
• in response to a determination that neither the earlier corresponding data nor the later corresponding data is available, performing interpolation to replace the missing data.

An article of manufacture comprising a non-transitory, computer-readable medium having computer-executable code thereon that is executable by an information handling system for:

• receiving time-series data regarding measurements of a physical variable;
• determining that a missing data point is missing from the time-series data, wherein the missing data point corresponds to a particular day of the week;
• in response to a determination that earlier corresponding data from the particular day of the week of an earlier week is available, copying the earlier corresponding data to replace the missing data;
• in response to a determination that later corresponding data from the particular day of the week of a later week is available, copying the later corresponding data to replace the missing data;
• and
• in response to a determination that neither the earlier corresponding data nor the later corresponding data is available, performing interpolation to replace the missing data.