Selected article for: "false negative prediction and respectively false negative prediction"

Author: Li, Chun; Zhao, Jialing; Wang, Changzhong; Yao, Yuhua
Title: Protein Sequence Comparison and DNA-binding Protein Identification with Generalized PseAAC and Graphical Representation
  • Document date: 2018_2_23
  • ID: u1imic5l_49
    Snippet: where TP, TN, FP, and FN are defined as the numbers of true positive, true negative, false positive, and false negative samples obtained from the prediction respectively, while P and R denote Precision value and Recall value, respectively. One can also use the alternative definition by a series of studies published recently [15, [46] [47] [48] . The higher the values of these measurements, the better the quality of prediction......
    Document: where TP, TN, FP, and FN are defined as the numbers of true positive, true negative, false positive, and false negative samples obtained from the prediction respectively, while P and R denote Precision value and Recall value, respectively. One can also use the alternative definition by a series of studies published recently [15, [46] [47] [48] . The higher the values of these measurements, the better the quality of prediction.

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