Abstract Machine Learning techniques have become pervasive across a range of different applications, and are now widely used in areas as disparate recidivism prediction, consumer credit–risk analysis insurance pricing. The prevalence machine learning has raised concerns about the potential for learned algorithms to biased against certain groups. Many definitions been proposed literature, but fu...

evaporation is a fundamental parameter in the hydrological cycle. this study examines the performance of m5model tree and artificial neural network (ann) models in estimating potential evapotranspiration calculated bypenman- monteith and hargreaves- samani equations. daily weather data from two meteorological stations in asemi-arid climate of iran, namely kerman and zahedan, were collected duri...