Research Article

Smart Congestion Control in 5G/6G Networks Using Hybrid Deep Learning Techniques

Table 6

Performance of proposed system in training and validation using different statistical measures (Naïve Bayes).

Naïve BayesAccuracySensitivity TPRSpecificity TNRMiss-rate (%) FORFall-out FPRLR+Lr-PPV (precision)NPV

Training0.8760.9130.8520.9160.1486.1681.0750.8020.937
Validation0.8510.8840.8230.1490.1784.9660.1810.8060.894