Confusion Matrix
Explanation of Parameters of the Classification Masks
Reclassification of the Learning Set
Parameters of One of the Databases
- 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 error tolerant because correct classification results are obtained in most instances although the positional coincidence of the: +, - and 0 characters with the reference classification masks is frequently substantially lower than 1.0