Selected article for: "test set and training set"
Author: Delli Ponti, Riccardo; Marti, Stefanie; Armaos, Alexandros; Tartaglia, Gian Gaetano
Title: A high-throughput approach to profile RNA structure
  • Document date: 2017_3_17
    • ID: k23xlzj0_16
    Snippet: We employed the scores of the five CROSS models to train a single classifier. The training set comprised 43 sequences (11 670 fragments) and the test set was composed of 24 transcripts (5 475 fragments; not in the training set of any of the CROSS models) (15) . Among different classifiers the support vector machine with radial basis function kernel shows the best performances (Supplementary Table S3 )......
    Document: We employed the scores of the five CROSS models to train a single classifier. The training set comprised 43 sequences (11 670 fragments) and the test set was composed of 24 transcripts (5 475 fragments; not in the training set of any of the CROSS models) (15) . Among different classifiers the support vector machine with radial basis function kernel shows the best performances (Supplementary Table S3 ).

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