Table 8.

Empirical error model evaluation.

Algorithm and Pre-Processing Method Employed	Accuracy	Precision	Recall	F1-Score
LM-CNN + EM + Feature extraction	94.40	94.41	96.2	90.4
LM-CNN + AC + Feature extraction	86.00	82.6	81.9	83.2
LM-CNN + EMD + Feature extraction	84.32	84.5	83.2	84.1
LM-CNN + DWT + Feature extraction	70.00	56.80	80.00	65.28