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Table 1 Impact of the operator and the device type on the sensitivity and specificity of the classifier SVM

From: Machine learning, medical diagnosis, and biomedical engineering research - commentary

Operator\device 1 2
1 SEN = 75% SEN = 68%
SPC = 82% SPC = 61%
2 SEN = 68% SEN = 58%
SPC = 59% SPC = 70%
  1. In this case, the SVM had been trained on 100 images (50 healthy, 50 ill patients) acquired by Operator 1 and validated using independent sets of the same size of images obtained by Operator 1 or 2. The performance of the classifier is generally better with Operator 1 on data collected on device 1 (which originated the data) although there are variations in performance. Both operators used both devices to acquire data.