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Table 5 Illustrative example of misclassification statistics for the ACC data set. For some sequences s identified by number s , the error rate (E R s ), the true class (T C s ), and how many times this sequence was misclassified as belonging to each of the other subtypes (from mG to Ta), are displayed. The three last columns list the sum of the votes for the true class (V T s ), for the most frequently predicted class (V P s ), and the ratio (R s ) of one to the other

From: Label noise in subtype discrimination of class C G protein-coupled receptors: A systematic approach to the analysis of classification errors

s E R s T C s mG CS GB VN Ph Od Ta V T s V P s R s
2 100 CS 100 0 0 0 0 0 0 91 600 0.15
6 100 VN 0 0 0 0 96 4 0 404 596 0.67
7 100 VN 100 0 0 0 0 0 0 300 600 0.5