CLASSIF1 Data Classificaition

Overtraining of Competition Cyclcists (Lymphocyte Membrane Antigens)

Classification of Learning Set

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  • - The print output of the CLASSIF1 learning procedure LRNLYMPH comprises the percent and sample confusion matrices, the reference classification masks and the reclassification list of the leaning set.

    - The normal and overtrained cyclists are well recognised mainly from the CD45RO antigen expression of blood lymphocytes.

    - The reclassification list of the learning set shows that the sample classification masks do not exhibit systematic differences with the increasing number of patients i.e. the immunephenotype measurements were of stable quality over the collection period of the samples which was about one year.

    - The reclassification list further shows that triple matrix classifiers are inherently robust because correct classification results are obtained in most instances although the positional coincidence of the: +, - and 0 characters with the reference classification masks is lower than 1.0

    Confusion Matrix

    Explanation of Parameters of the Classification Masks

    Reclassification of the Learning Set

    Parameters of One of the Databases

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  • Cell Biochemistry

  • For problems or comments, please contact:
    G.Valet, E-mail:, Max-Planck-Institut für Biochemie, Am Klopferspitz 18a, D-82152 Martinsried, Germany, Tel: +49/89/8578-2518, -2525, Fax: +49/89/8578-2563
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    Last update: Mar.12,2000