30 Kasım 2022 Kitap bölümü Açık Erişim

Okan Mert KATIPOĞLU

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{
  "@context": "https://schema.org/", 
  "@id": 262879, 
  "@type": "ScholarlyArticle", 
  "creator": [
    {
      "@id": "https://orcid.org/0000-0001-6421-6087", 
      "@type": "Person", 
      "affiliation": "Erzincan Binali Y\u0131ld\u0131r\u0131m University", 
      "name": "Okan Mert KATIPO\u011eLU"
    }
  ], 
  "datePublished": "2022-11-30", 
  "description": "<p>This study aims to estimate the evaporation data in the &Ccedil;orum station. For this purpose, the effect of the training-test ratio on machine learning model performance was evaluated using daily evaporation data from the &Ccedil;ank\u0131r\u0131 meteorology station. Moreover, Random Forest and GBM algorithms were used to model pan evaporation. The study&rsquo;s second aim is to investigate the training test rate&rsquo;s effect on pan evaporation prediction. For this purpose, the training test rates were used as 90-10%, 80-20%, 70- 30%, 60-40%, and 50-50%.<br>\n&nbsp;</p>", 
  "headline": "Evaluat\u0131on Of The Effect Of Train-Test Split Rat\u0131o For The Prediction Of Daily Pan Evaporation Of \u00c7orum Province", 
  "identifier": 262879, 
  "image": "https://aperta.ulakbim.gov.tr/static/img/logo/aperta_logo_with_icon.svg", 
  "keywords": [
    "PAN EVAPORATION", 
    "\u00c7ORUM PROVINCE", 
    "Random Forest", 
    "Gradient boosting machine"
  ], 
  "license": "http://www.opendefinition.org/licenses/cc-by-sa", 
  "name": "Evaluat\u0131on Of The Effect Of Train-Test Split Rat\u0131o For The Prediction Of Daily Pan Evaporation Of \u00c7orum Province", 
  "url": "https://aperta.ulakbim.gov.tr/record/262879"
}