An ensemble model was then created for each nutrient from two machine learning algorithms- random forest and gradient boosting, as implemented in R packages ranger and xgboost-and then used to generate predictions in a fully-optimized computing system. 
xgboost
An ensemble model was then created for each nutrient from two machine learning algorithms- random forest and gradient boosting, as implemented in R packages ranger and xgboost-and then used to generate predictions in a fully-optimized computing system. 
ranger
Nutrient cycling in agroecosystems
Hengl Tomislav T 0000-0002-9921-5129;Leenaars Johan G B JGB ;Shepherd Keith D KD ;Walsh Markus G MG ;Heuvelink Gerard B M GBM ;Mamo Tekalign T ;Tilahun Helina H ;Berkhout Ezra E ;Cooper Matthew M ;Fegraus Eric E ;Wheeler Ichsani I ;Kwabena Nketia A NA 