Table 5 Prediction speed, training time, and accuracy from Fine Gaussian SVM for 53 wavelet functions at one value of fault resistance, fault location, and fault inception angle.

Wavelet function	Phase - G
Wavelet function	Prediction speed (obs/sec)	Training time (sec)	Accuracy (%)
Haar family
Haar	600	3.3741	100
Daubechies wavelet family
db1	600	3.3741	100
db2	440	2.3954	100
db3	550	3.2833	100
db4	740	0.61119	91.7
db5	700	0.63421	100
db6	580	0.67559	100
db7	580	0.73023	91.7
db8	590	0.66996	91.7
db9	690	0.69557	100
db10	940	1.6074	91.7
Symlets wavelet family
sym2	580	1.2705	100
sym3	700	0.67957	100
sym4	640	0.6515	91.7
sym5	600	1.6276	100
sym6	610	2.3446	91.7
sym7	660	2.2513	91.7
sym8	440	2.67	91.7
Coiflets wavelet family
coif1	680	2.5993	91.7
coif2	660	2.4117	91.7
coif3	510	3.5726	100
coif4	550	2.3771	100
coif5	320	5.0333	100
Bior splines wavelet family
bior1.1	520	3.667	100
bior1.3	540	2.5186	100
bior1.5	560	2.6072	100
bior2.2	670	2.6757	91.7
bior2.4	580	2.7752	91.7
bior2.6	350	3.925	91.7
bior2.8	590	2.7764	91.7
bior3.1	580	4.2407	91.7
bior3.3	660	2.7482	91.7
bior3.5	510	3.7175	83.3
bior3.7	450	4.6526	91.7
bior3.9	690	4.0694	91.7
bior4.4	440	4.0722	91.7
bior5.5	610	4.0082	100
bior6.8	660	3.5318	91.7
Reverse bior splines wavelet family
rbio1.1	630	2.2263	100
rbio1.3	180	5.0493	100
rbio1.5	160	5.1161	100
rbio2.2	620	4.4052	91.7
rbio2.4	160	4.9882	91.7
rbio2.6	680	4.9001	91.7
rbio2.8	90	4.1408	91.7
rbio3.1	580	2.6892	91.7
rbio3.3	420	5.4213	91.7
rbio3.5	700	5.1709	91.7
rbio3.7	670	4.4109	91.7
rbio3.9	530	4.8647	91.7
rbio4.4	370	4.5904	91.7
rbio5.5	680	5.2904	100
rbio6.8	200	5.2157	100
Meyer wavelet family
dmey	510	6.2002	100

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