000 01244 a2200325 4500
005 20250518044807.0
264 0 _c20201005
008 202010s 0 0 eng d
022 _a1873-7145
024 7 _a10.1016/j.foodres.2019.03.062
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aGolden, Chase E
245 0 0 _aComparison between random forest and gradient boosting machine methods for predicting Listeria spp. prevalence in the environment of pastured poultry farms.
_h[electronic resource]
260 _bFood research international (Ottawa, Ont.)
_c08 2019
300 _a47-55 p.
_bdigital
500 _aPublication Type: Journal Article; Research Support, Non-U.S. Gov't
650 0 4 _aAnimals
650 0 4 _aChickens
650 0 4 _aDecision Trees
650 0 4 _aFeces
_xmicrobiology
650 0 4 _aListeria
_xisolation & purification
650 0 4 _aMachine Learning
650 0 4 _aModels, Statistical
650 0 4 _aPoultry Products
_xmicrobiology
650 0 4 _aPrevalence
700 1 _aRothrock, Michael J
700 1 _aMishra, Abhinav
773 0 _tFood research international (Ottawa, Ont.)
_gvol. 122
_gp. 47-55
856 4 0 _uhttps://doi.org/10.1016/j.foodres.2019.03.062
_zAvailable from publisher's website
999 _c29825946
_d29825946