Early classification of multivariate temporal observations by extraction of interpretable shapelets

BMC Bioinformatics

Table 3 Evaluation of the univariate method on all datasets

Dataset	gene	Accuracy	Relative accuracy	Coverage	Earliness	F ₁
H3N2	LOC26010	77.78	85.71	100	38.34	0.6879
HRV	RSAD2	42.86	80.00	55.56	52.50	0.4506
Baranzini3A	Caspase 10	12.00	100.00	12.25	42.86	0.1983
Baranzini3B	Caspase 3	26.09	80.00	31.38	40.26	0.3632
Baranzini6	Caspase 10	12.00	100.00	12.25	42.86	0.1983
Baranzini12	Caspase 3	26.09	80.00	31.38	40.26	0.3632
Lin9	Caspase 3	26.09	80.00	31.38	40.26	0.3632
Costa17	Caspase 3	26.09	80.00	31.38	40.26	0.3632

The univariate method (using the Chebyshev’s inequality as distance threshold method and the weighted recall as utility score method) has been evaluated on each gene on all datasets. The best accuracy is reported.

ISSN: 1471-2105