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Table 2 Results for different training set sizes.

From: A graphical model approach to automated classification of protein subcellular location patterns in multi-cell images

  Classification Accuracy (%)
No. of training data Similar Classes Dissimilar Classes All Classes
  No updating With updating No updating With updating No updating With updating
50 82.2 91.3 95.3 98.5 90.1 95.6
40 80.8 90.2 94.9 98.3 89.2 95.1
30 78.9 88.9 94.2 98.4 88.1 94.6
20 76.3 87.5 93.2 98.0 86.4 93.8
10 71.2 80.8 90.6 96.6 82.9 90.3
  1. Base SVM classifiers were trained using various numbers of cells for each of ten classes. Graphical models using those base classifiers were then tested on fields containing six cells each from two classes and results were averaged over 10 trials each for all possible pairs.