Selected article for: "cross validation and training set"

Author: Jiangpeng Wu; Pengyi Zhang; Liting Zhang; Wenbo Meng; Junfeng Li; Chongxiang Tong; Yonghong Li; Jing Cai; Zengwei Yang; Jinhong Zhu; Meie Zhao; Huirong Huang; Xiaodong Xie; Shuyan Li
Title: Rapid and accurate identification of COVID-19 infection through machine learning based on clinical available blood test results
  • Document date: 2020_4_6
  • ID: kjovtgua_21
    Snippet: With the gradual increase of top-ranking parameters, the performance of different models is obtained based on the 10-fold cross-validation results in the training set (a=1· 000; b=0· 9795; c=0· 9594)......
    Document: With the gradual increase of top-ranking parameters, the performance of different models is obtained based on the 10-fold cross-validation results in the training set (a=1· 000; b=0· 9795; c=0· 9594).

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