Adaptive Ensemble with Human Memorizing Characteristics for Data Stream Mining

Table 2

Results of average predicting accuracy and variance on all data chunks [%].

Dataset	Win	SEA	AWE	ACE	MAE
SEA	84.58 ± 2.30	87.68 ± 2.14	87.98 ± 2.14	87.14 ± 2.89	86.54 ± 2.28
Tree	62.37 ± 9.59	71.36 ± 15.41	79.65 ± 10.65	76.71 ± 10.81	81.70 ± 8.34
Hyp	76.02 ± 3.66	84.29 ± 2.33	83.85 ± 2.39	82.01 ± 3.28	83.86 ± 2.91
RBF	83.49 ± 5.68	93.02 ± 5.80	93.59 ± 4.34	91.30 ± 4.79	91.09 ± 4.42
LED	40.36 ± 22.17	49.75 ± 23.88	50.97 ± 22.80	50.00 ± 22.93	50.80 ± 22.72
Adult	92.81 ± 2.30	94.38 ± 1.64	94.46 ± 1.65	94.29 ± 1.66	94.56 ± 1.65
Bank	87.36 ± 14.73	88.73 ± 14.23	88.62 ± 14.75	88.96 ± 13.87	88.89 ± 13.99
Conn	64.99 ± 15.91	67.67 ± 15.53	67.43 ± 17.46	68.52 ± 15.99	71.33 ± 13.05
Cover	88.79 ± 9.30	82.31 ± 10.98	84.18 ± 8.91	66.97 ± 17.01	87.92 ± 9.05
EEG	59.62 ± 31.08	54.31 ± 26.85	59.03 ± 31.07	64.19 ± 34.66	62.05 ± 30.18
Elec	73.79 ± 10.33	76.68 ± 9.48	76.08 ± 9.83	75.26 ± 11.64	77.28 ± 8.79
Page	91.56 ± 5.57	93.78 ± 4.58	93.81 ± 4.66	91.73 ± 6.10	93.78 ± 4.58
Person	30.24 ± 23.93	27.81 ± 21.66	29.19 ± 22.96	25.55 ± 24.64	34.31 ± 22.40
Poker	75.04 ± 17.34	69.74 ± 23.01	75.14 ± 19.04	69.65 ± 16.36	81.30 ± 16.89
Robot	77.50 ± 15.16	83.04 ± 15.51	84.17 ± 16.16	75.60 ± 18.26	83.04 ± 15.51
Mean	72.54 ± 12.48	75.02 ± 12.82	76.61 ± 12.48	73.88 ± 13.54	77.97 ± 11.66