An Online Extraction Algorithm for Image Feature Information Based on Convolutional Neural Network

Table 2

Definition of TP, FP, FN, and TN.

Name of parameter	Description
TP	Neither the genuine category nor that predicted by the model has a negative value
FP	There is a discrepancy between the expected and true categories, and the true and predicted categories are not consistent
FN	A negative outcome was expected, but a good outcome was actually achieved, hence the projected outcome was incorrect
TN	The model predicts a negative category, which is consistent with the actual categorization