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Journal of Big Data

Table 3 Confusion matrix description

From: Optimization of air traffic management efficiency based on deep learning enriched by the long short-term memory (LSTM) and extreme learning machine (ELM)

TP

The number of the behaviors that represented the existence of a delay and were correctly predicted by the model

FP

The number of the behaviors that represented the presence of a delay, and the model incorrectly predicted the absence of delay

FN

The number of the behaviors that indicated the absence of delay, and the model incorrectly predicted the existence of delay

TN

The number of the behaviors that showed the lack of delay, and the model correctly predicted them

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