Machine learning has potential use in the understanding of information hidd
en in large datasets, but little is known about user perceptions of the use
of the technology. In this study, datasets were solicited from agricultura
l researchers and processed using a machine learning workbench. The results
were reported to the researchers, and then interviews were conducted with
some of them to determine their perceptions about the use of machine learni
ng as an additional analysis technique to traditional statistical analysis.
A number of themes about their satisfaction with this technique were const
ructed from the interview transcripts, which generally indicate that machin
e learning may be able to contribute to analysis and understanding of these
kinds of datasets.