TABLE 3:

Best test accuracy (%) and its corresponding training time (sec) of MP-Boost, AdaBoost, Random Forest, and Gradient Boosting on binary classification tasks.

Dataset	Criteria	MP-Boost	AdaBoost	Random Forest	Gradient Boosting
Cones	Test	100.0 ± 0.0	100.0 ± 0.0	100.0 ± 0.0	100.0 ± 0.0
	Time	2.81 ± 0.16	23.63 ± 0.14	14.2 ± 0.06	143.87 ± 1.23
Hill-Valley	Test	99.45 ± 0.19	99.45 ± 0.19	99.17 ± 0.06	98.76 ± 0.34
	Time	0.08 ± 0.01	0.37 ± 0.01	0.14 ± 0.01	2.92 ± 0.08
Christine	Test	74.27 ± 0.32	74.7 ± 0.01	75.32 ± 0.41	76.18 ± 0.03
	Time	2.22 ± 0.2	92.36 ± 0.53	6.06 ± 0.09	108.47 ± 0.51
Jasmine	Test	80.03 ± 0.76	81.43 ± 0.08	80.7 ± 0.7	80.87 ± 0.14
	Time	0.15 ± 0.04	2.4 ± 0.01	0.47 ± 0.00	2.2 ± 0.02
Philippine	Test	71.01 ± 0.37	72.73 ± 0.01	72.3 ± 0.16	73.1 ± 0.47
	Time	0.96± 0.08	11.45 ± 0.04	5.78 ± 0.02	74.56 ± 0.91
SensIT Vehicle	Test	86.23 ± 0.01	85.93 ± 0.01	86.88 ± 0.05	87.43 ± 0.01
	Time	25.7 ± 3.03	576.63 ± 19.69	303.6 ± 0.9	730.06 ± 0.75
Higgs Boson	Test	83.42 ± 0.06	82.95 ± 0.01	83.68 ± 0.04	82.74 ± 0.01
	Time	79.31 ± 3.55	270.28 ± 0.51	258.79 ± 3.31	397.28 ± 1.04
MNIST (3,8)	Test	99.31 ± 0.03	99.31 ± 0.02	98.98 ± 0.13	98.96 ± 0.01
	Time	5.25 ± 0.76	81.65 ± 0.53	6.19 ± 0.04	99.5 ± 0.58
MNIST (O,E)	Test	98.15 ± 0.06	98.17 ± 0.01	97.74 ± 0.04	97.95 ± 0.03
	Time	56.34 ± 0.34	711.22 ± 3.98	36.62 ± 0.1	807.53 ± 0.67
CIFAR-10 (T,C)	Test	73.67 ± 0.39	76.12 ± 0.01	74.24 ± 0.37	78.5 ± 0.12
	Time	21.44 ± 4.54	2282.46	53.44 ± 0.23	2224.67 ± 1.63
GAS Drift	Test	99.76 ± 0.04	99.78 ± 0.01	99.66 ± 0.03	99.68 ± 0.03
	Time	1.13 ± 0.07	42.17 ± 0.03	2.42 ± 0.03	64.86 ± 0.1
DNA	Test	97.44 ± 0.07	97.49 ± 0.01	97.75± 0.07	97.65 ± 0.03
	Time	0.48 ± 0.06	1.84 ± 0.01	1.08 ± 0.01	0.97 ± 0.01
Volkert	Test	74.14 ± 0.08	75.87 ± 0.3	79.03 ± 0.16	77.66 ± 0.13
	Time	32.82 ± 0.97	541.49 ± 9.13	74.42 ± 0.12	553.35 ± 1.84