Table 2. Average classification metrics...

Table 2.

Average classification metrics for different feature extraction methods

Feature extraction	Avg. Type	Precision	Recall	F1-score
Waveforms	Macro average	0.815	0.811	0.813
Waveforms	Weighted average	0.809	0.805	0.807
FFT	Macro average	0.820	0.812	0.816
FFT	Weighted average	0.814	0.806	0.810
Wavelet	Macro average	0.805	0.798	0.802
Wavelet	Weighted average	0.798	0.792	0.795

Feature extraction	Avg. Type	Precision	Recall	F1-score
Waveforms	Macro average	0.815	0.811	0.813
Waveforms	Weighted average	0.809	0.805	0.807
FFT	Macro average	0.820	0.812	0.816
FFT	Weighted average	0.814	0.806	0.810
Wavelet	Macro average	0.805	0.798	0.802
Wavelet	Weighted average	0.798	0.792	0.795

Note(s):

Italics in Table 2 indicate the best classification metrics achieved among the tested methods

Source(s): Authors’ own work

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