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. 2015 Summer;14(3):665–675.

Table 2.

a) Classification power of LDA for test set. (b) Figure of merit for training and test set.

(a)Sample Actual class Prediction class Convergence rate of the class with appropriate morphology.(1) Convergence rate of the class with poor morphology.(2)
1 1.00 1.00 0.77 0.23
2 1.00 1.00 1.00 0.00
3 1.00 1.00 0.96 0.04
4 2.00 2.00 0.00 1.00
5 1.00 1.00 1.00 0.00
6 1.00 1.00 1.00 0.00
7 1.00 1.00 1.00 0.00
8 1.00 1.00 1.00 0.00
9 1.00 1.00 1.00 0.00
10 1.00 1.00 1.00 0.00
11 1.00 1.00 1.00 0.00
12 2.00 2.00 0.00 1.00
13 2.00 1.00 1.00 0.00
14 2.00 1.00 1.00 0.00
15 2.00 2.00 0.00 1.00
16 2.00 2.00 0.00 1.00
17 1.00 1.00 1.00 0.00
18 1.00 1.00 1.00 0.00
19 1.00 1.00 1.00 0.00
20 1.00 1.00 1.00 0.00
21 1.00 1.00 1.00 0.00
(b)Parameter Test Set Training Set Definition
Correct rate: 0.9048 1 Correctly Classified Samples /Classified Samples
Error rate: 0.0952 0 Incorrectly Classified Samples /Classified Samples
Sensitivity samples: 1 1 Correctly Classified Positive Samples / True Positive
Specificity samples: 0.6667 1 Correctly Classified Negative Samples /True Negative