Application of Discrete Wavelet Transform in Shapelet-Based Classification

Table 3

Testing accuracy and ranks of different classifiers on the datasets.

#	1NN-ED	1NN-DTW	1NN-DTWCV	BinaryST	TSF	EE	DSE
1	0.8800 (2)	0.7700 (7)	0.8800 (2)	0.8300 (5)	0.8200 (6)	0.8800 (2)	0.8700 (4)
2	0.7967 (5.5)	0.7677 (7)	0.7967 (5.5)	1.0000 (1.5)	0.9872 (3)	0.8409 (4)	1.0000 (1.5)
3	0.7471 (7)	0.9043 (4)	0.8683 (5)	0.9894 (1)	0.8306 (6)	0.9333 (3)	0.9860 (2)
4	0.9249 (4)	0.9244 (5)	0.9251 (3)	0.8438 (7)	0.9013 (6)	0.9300 (1)	0.9282 (2)
5	0.7500 (3)	0.7000 (5.5)	0.7000 (5.5)	0.7500 (3)	0.7500 (3)	0.6000 (7	0.9500 (1)
6	0.5500 (7)	0.7500 (4.5)	0.7000 (6)	0.9500 (2)	0.9000 (3)	0.7500 (4.5)	1.0000 (1)
7	0.7174 (5.5)	0.7174 (5.5)	0.7246 (4)	0.7899(1)	0.7138 (7)	0.7681 (2)	0.7304 (3)
8	0.5156 (6)	0.5312 (4.5)	0.5312 (4.5)	0.4219 (7)	0.5625 (3)	0.7031 (1)	0.6562 (2)
9	0.7663 (2.5)	0.6976 (7)	0.7663 (2.5)	0.7251 (6)	0.7354 (4.5)	0.7904 (1)	0.7354 (4.5)
10	0.7611 (2.5)	0.7284 (5)	0.7611 (2.5)	0.6911 (6)	0.7319 (4)	0.7832 (1)	0.6131 (7)
11	0.8076 (4)	0.7835 (6)	0.7904 (5)	0.8832 (1)	0.7423 (7)	0.8282 (3)	0.8660 (2)
12	0.8303 (4)	0.8363 (3)	0.8440 (2)	0.7573 (6)	0.7463 (7)	0.8793 (1	0.8207 (5)
13	0.7841 (6)	0.8295 (5)	0.8864 (4)	0.9886 (2)	0.7614 (7)	0.9091 (3)	1.0000 (1)
14	0.7829 (6)	0.8229 (5)	0.8457 (4)	0.8571 (3)	0.5429 (7)	0.9657 (1)	0.9200 (2)
15	0.8000 (3.5)	0.7029 (6)	0.8000 (3.5)	0.7485 (5)	0.4800 (7)	0.8400 (1)	0.8057 (2)
16	0.7122 (6.5)	0.7194 (5)	0.7266 (3)	0.7122 (6.5	1.0000 (1.5)	0.7194 (4)	1.0000 (1.5)
17	0.6652 (4)	0.5545 (7)	0.6909 (3)	0.6621 (5)	0.6106 (6)	0.8182 (1)	0.7288 (2)
18	0.6062 (5)	0.6198 (3)	0.6074 (4)	0.4963 (7)	0.5556 (6)	0.7346 (1)	0.6988 (2)
19	0.9553 (4.5)	0.9504 (6)	0.9553 (4.5)	0.9495 (7)	0.9602 (3)	0.9611 (2)	0.9689 (1)
20	0.8786 (4)	0.8347 (7)	0.8658 (5)	0.9173 (2)	0.8411 (6)	0.8858 (3)	0.9449 (1)
21	0.6955 (6.5)	0.7255 (4)	0.6955 (6.5)	0.9168 (1)	0.7654 (3)	0.7072 (5)	0.8968 (2)
22	0.8841 (3)	0.8768 (4)	0.9275 (1)	0.7953 (7)	0.8031 (6)	0.8898 (2)	0.8346 (5)
23	0.9855 (1)	0.9493 (7)	0.9783 (4)	0.9606 (6)	0.9841 (2.5)	0.9841 (2.5)	0.9762 (5)
24	0.9619 (5.5)	1.0000 (2.5)	1.0000 (2.5)	0.9619 (5.5)	0.9429 (7)	1.0000 (2.5)	1.0000 (2.5)
25	0.7333 (5.5)	0.7333 (5.5)	0.7667 (3)	0.7833 (2)	0.5333 (7)	0.8333 (1)	0.7500 (4)
Average rank	4.5600	5.2400	3.8200	4.2200	5.1400	2.3800	2.6400
Win	2	1	3	4	1	12	8

Note. The results highlighted in bold denote that the method gets the highest accuracy for this dataset.