Skip to main content

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.