Prediction of return path data quality for audience measurement

A non-transitory computer readable medium comprising instructions that, when executed, cause a machine to at least:

• compute a first data set of model features from validation tuning data reported from media metering devices and a second data set of model features from return path data reported from return path data devices;
• train a machine learning algorithm based on the first data set;
• and
• apply the trained machine learning algorithm to the second data set to predict quality of the return path data reported from the return path data devices.

A method to predict return path data quality, the method comprising:

• computing, by executing an instruction with a processor, a first data set of model features from validation tuning data reported from media metering devices and a second data set of model features from return path data reported from return path data devices;
• training, by executing an instruction with the processor, a machine learning algorithm based on the first data set;
• and
• applying, by executing an instruction with the processor, the trained machine learning algorithm to the second data set to predict quality of the return path data reported from the return path data devices.