Machine Learning Applied to Fourteen Agricultural Datasets
Kirsten Thomson, Robert John McQueen · Research Commons (University of Waikato) · 1996
This document reports on an investigation conducted between November, 1995 and March, 1996 into the use of machine learning on 14 sets of data supplied by agricultural researchers in New Zealand. Our purpose here is to collect together short reports on trials with these datasets using the WEKA machine learning workbench, so that some understanding of the applicability and potential application of machine learning to similar datasets may result.