Table 13 Accuracy and AUC for Anti-pattern 1: ensemble Classifiers and Deep-Learning.

From: An empirical analysis on webservice antipattern prediction in different variants of machine learning perspective

	Accuracy									AUC
	BAG	RF	EXTR	AdaB	GraB	DL1	DL2	DL3	DL4	BAG	RF	EXTR	AdaB	GraB	DL1	DL2	DL3	DL4
ORG-DATA
OD	90.71	91.15	92.48	90.27	91.59	92.92	92.04	92.04	92.92	0.81	0.82	0.84	0.85	0.67	0.88	0.87	0.86	0.88
SIGF	89.82	89.82	91.59	91.59	90.71	91.59	92.04	92.04	92.04	0.82	0.80	0.80	0.78	0.66	0.88	0.87	0.86	0.87
AG1	91.59	92.48	91.59	92.92	92.04	90.71	90.71	90.71	90.71	0.85	0.84	0.73	0.82	0.62	0.89	0.87	0.86	0.86
AG2	90.71	89.38	89.82	88.94	89.38	90.71	90.71	90.71	90.71	0.76	0.75	0.75	0.76	0.8	0.69	0.75	0.76	0.76
AG3	90.71	90.71	91.15	89.82	91.15	90.71	90.71	90.71	90.71	0.77	0.82	0.81	0.82	0.68	0.81	0.84	0.83	0.83
AG4	90.27	89.82	91.59	89.82	91.15	89.82	90.71	90.71	90.71	0.77	0.85	0.81	0.82	0.68	0.83	0.84	0.83	0.83
AG5	90.71	88.05	89.38	89.82	90.71	90.71	90.71	90.71	90.71	0.70	0.71	0.68	0.70	0.64	0.41	0.44	0.42	0.40
AG6	90.71	88.94	86.73	89.38	89.38	90.71	90.71	90.71	90.71	0.74	0.67	0.55	0.73	0.69	0.44	0.50	0.63	0.40
AG7	91.59	91.59	92.04	90.27	89.82	92.92	89.38	90.27	90.71	0.82	0.83	0.76	0.85	0.59	0.87	0.84	0.84	0.84
AG8	90.71	90.27	91.59	91.59	91.59	92.04	90.27	90.71	90.71	0.86	0.82	0.81	0.82	0.60	0.83	0.86	0.87	0.86
AG9	90.27	89.82	91.59	91.59	89.38	90.71	90.71	90.71	90.71	0.80	0.71	0.77	0.85	0.83	0.68	0.60	0.61	0.59
AG10	90.71	91.15	90.71	91.15	87.61	90.71	90.71	90.71	90.71	0.81	0.75	0.74	0.83	0.75	0.71	0.75	0.73	0.73
AG11	88.50	91.59	90.71	90.27	90.27	90.71	90.71	90.71	90.71	0.83	0.73	0.79	0.82	0.83	0.75	0.81	0.80	0.79
AG12	91.59	90.71	90.71	90.71	88.94	90.71	90.71	90.71	90.71	0.86	0.77	0.79	0.84	0.61	0.69	0.87	0.75	0.77
AG13	89.82	91.59	92.48	89.82	90.27	90.71	90.71	90.71	90.71	0.84	0.79	0.74	0.82	0.83	0.75	0.83	0.81	0.80
INFG	91.15	92.48	91.59	92.92	92.04	91.59	91.59	91.59	91.15	0.82	0.85	0.84	0.85	0.73	0.88	0.88	0.87	0.86
GNR	91.59	92.04	91.15	92.92	89.38	90.71	90.71	90.71	90.71	0.91	0.88	0.83	0.87	0.52	0.85	0.80	0.89	0.88
CORR	90.71	92.48	93.81	92.92	88.94	91.15	90.71	90.71	90.71	0.88	0.80	0.85	0.87	0.64	0.86	0.84	0.84	0.82
CFS	90.71	92.48	92.92	92.48	92.04	91.15	91.15	90.71	90.71	0.92	0.86	0.83	0.84	0.71	0.94	0.91	0.89	0.88
OneR	92.04	91.59	92.04	92.92	92.92	91.15	90.71	90.71	90.71	0.9	0.85	0.83	0.79	0.64	0.79	0.84	0.86	0.83
GA	92.04	92.04	91.15	91.15	91.59	91.15	90.71	90.27	90.71	0.91	0.86	0.84	0.87	0.65	0.87	0.84	0.87	0.81
PCA	90.71	90.27	90.27	90.27	88.94	90.71	90.71	90.71	90.71	0.82	0.81	0.78	0.75	0.75	0.47	0.53	0.52	0.44
SMOTE-DATA
OD	90.00	95.12	96.1	91.71	91.46	93.17	95.12	94.15	94.63	0.97	0.98	0.98	0.97	0.97	0.97	0.98	0.98	0.98
SIGF	89.76	94.15	96.34	92.93	93.90	94.39	94.88	95.61	95.12	0.96	0.98	0.99	0.97	0.97	0.97	0.97	0.97	0.98
AG1	89.27	90.49	92.93	90.00	89.02	85.85	86.59	87.56	86.59	0.96	0.96	0.97	0.94	0.96	0.92	0.90	0.93	0.93
AG2	86.34	92.68	93.41	87.80	88.05	76.83	81.71	81.46	82.68	0.93	0.97	0.97	0.94	0.95	0.83	0.87	0.86	0.86
AG3	89.27	92.93	96.1	88.54	90.73	83.90	86.34	88.54	87.56	0.96	0.98	0.98	0.95	0.95	0.90	0.92	0.92	0.92
AG4	89.27	95.61	95.12	91.71	90.98	82.20	85.12	88.78	89.51	0.95	0.97	0.98	0.96	0.95	0.90	0.92	0.94	0.94
AG5	80.00	84.88	85.37	74.15	78.05	72.44	70.00	67.32	54.63	0.88	0.92	0.91	0.83	0.84	0.77	0.74	0.71	0.53
AG6	81.95	85.61	87.32	80.24	80.98	70.49	54.39	48.29	51.22	0.87	0.90	0.92	0.88	0.87	0.70	0.56	0.49	0.57
AG7	91.71	92.20	94.63	89.76	91.22	86.34	89.51	89.76	89.51	0.97	0.97	0.97	0.95	0.94	0.93	0.94	0.94	0.94
AG8	90.49	93.90	95.61	87.56	87.80	87.80	90.24	90.49	91.22	0.96	0.98	0.98	0.96	0.95	0.93	0.94	0.95	0.94
AG9	85.37	93.66	95.37	90.73	90.00	77.80	78.05	77.80	64.63	0.95	0.98	0.98	0.96	0.96	0.82	0.81	0.81	0.73
AG10	84.88	88.78	92.93	83.66	83.90	79.27	81.71	81.46	74.63	0.92	0.93	0.96	0.91	0.89	0.87	0.87	0.85	0.82
AG11	87.07	89.02	93.41	85.85	84.39	82.93	84.88	86.10	85.85	0.94	0.97	0.97	0.93	0.93	0.90	0.90	0.90	0.89
AG12	87.07	91.71	93.66	88.05	87.80	81.22	83.17	84.39	85.61	0.95	0.97	0.97	0.93	0.93	0.91	0.91	0.90	0.89
AG13	84.88	91.71	93.17	86.34	83.90	82.44	84.15	85.61	85.37	0.94	0.96	0.98	0.92	0.91	0.90	0.90	0.90	0.90
INFG	88.29	91.71	94.15	91.46	90.73	90.00	93.17	93.17	94.39	0.96	0.97	0.97	0.97	0.96	0.96	0.97	0.97	0.96
GNR	88.05	88.05	90.49	85.85	86.10	86.83	87.56	88.78	81.22	0.95	0.96	0.96	0.93	0.94	0.93	0.92	0.93	0.86
CORR	89.27	91.22	91.46	88.29	88.05	85.85	85.85	86.59	86.10	0.95	0.96	0.96	0.94	0.93	0.91	0.90	0.88	0.89
CFS	86.34	89.51	91.46	89.76	89.02	83.90	85.12	86.10	78.54	0.93	0.95	0.96	0.93	0.94	0.91	0.90	0.91	0.88
OneR	89.02	89.51	92.44	90.00	90.00	86.83	87.07	78.54	78.78	0.96	0.96	0.96	0.95	0.95	0.92	0.93	0.89	0.89
GA	89.76	92.44	91.46	90.49	89.27	86.83	86.59	86.34	79.76	0.95	0.96	0.96	0.94	0.94	0.92	0.93	0.92	0.90
PCA	88.05	91.95	91.71	85.85	86.83	75.85	74.39	64.88	56.10	0.94	0.97	0.97	0.92	0.93	0.81	0.88	0.76	0.64
SMOTE-DATA
BLSMOTE-DATA
OD	89.27	94.63	96.34	93.17	91.46	92.93	93.90	93.66	95.12	0.97	0.98	0.98	0.96	0.96	0.97	0.97	0.97	0.97
SIGF	89.51	92.93	95.85	91.22	90.00	92.68	92.93	93.17	93.66	0.96	0.98	0.98	0.97	0.96	0.97	0.98	0.97	0.98
AG1	91.71	93.41	94.88	91.22	92.93	88.78	89.02	91.22	90.24	0.97	0.97	0.98	0.97	0.97	0.94	0.94	0.94	0.94
AG2	90.24	95.37	96.34	93.41	94.63	85.85	88.78	90.00	92.44	0.97	0.97	0.97	0.97	0.96	0.90	0.91	0.93	0.94
AG3	91.22	94.63	96.1	92.20	92.68	87.56	89.76	90.49	91.22	0.97	0.97	0.98	0.96	0.97	0.94	0.95	0.95	0.95
AG4	91.95	93.41	96.1	93.17	93.66	88.54	90.49	90.73	91.71	0.97	0.98	0.98	0.97	0.97	0.94	0.95	0.95	0.95
AG5	79.27	85.37	84.63	73.90	80.73	73.41	69.27	70.24	48.54	0.90	0.91	0.90	0.82	0.85	0.74	0.73	0.72	0.49
AG6	82.93	86.10	87.8	80.98	78.05	72.68	60.49	63.17	54.63	0.88	0.92	0.93	0.90	0.87	0.76	0.67	0.69	0.55
AG7	89.76	91.71	94.63	88.54	88.29	88.05	89.27	89.27	90.49	0.96	0.96	0.97	0.94	0.93	0.92	0.93	0.93	0.93
AG8	89.02	93.90	95.12	88.05	88.29	85.37	87.32	87.56	87.32	0.96	0.96	0.98	0.94	0.94	0.89	0.90	0.90	0.91
AG9	87.32	95.85	95.37	91.22	92.44	83.66	83.90	76.34	76.59	0.96	0.98	0.98	0.97	0.97	0.85	0.85	0.83	0.83
AG10	87.07	91.46	92.93	88.29	85.12	81.46	84.63	85.12	78.05	0.94	0.96	0.96	0.94	0.89	0.88	0.88	0.88	0.86
AG11	88.29	92.93	94.39	86.10	86.59	84.88	87.07	88.05	87.80	0.95	0.97	0.98	0.94	0.94	0.92	0.92	0.93	0.92
AG12	89.76	92.68	92.68	89.76	90.00	83.17	86.83	87.56	87.32	0.95	0.96	0.98	0.95	0.93	0.92	0.92	0.92	0.92
AG13	87.32	90.73	93.66	85.61	86.83	81.71	83.66	84.39	77.07	0.93	0.96	0.97	0.91	0.92	0.89	0.90	0.90	0.86
INFG	89.51	94.39	95.61	93.41	92.20	92.20	92.20	92.93	92.68	0.97	0.98	0.98	0.97	0.96	0.96	0.97	0.98	0.97
GNR	91.71	94.63	94.63	92.20	92.68	91.95	91.95	91.71	90.73	0.97	0.98	0.98	0.96	0.96	0.95	0.95	0.94	0.93
CORR	89.02	92.93	93.66	92.68	91.95	86.34	86.34	86.83	85.37	0.96	0.97	0.97	0.96	0.95	0.92	0.93	0.92	0.91
CFS	87.07	90.00	92.2	87.07	88.78	82.44	84.15	84.63	75.61	0.93	0.94	0.95	0.93	0.92	0.89	0.89	0.89	0.86
OneR	91.95	92.20	92.68	88.05	91.71	86.10	86.10	90.00	77.32	0.97	0.96	0.97	0.95	0.96	0.93	0.94	0.95	0.87
GA	93.17	93.66	94.15	92.20	92.68	87.07	87.56	89.76	90.24	0.97	0.98	0.97	0.96	0.96	0.94	0.94	0.95	0.94
PCA	88.05	91.71	94.39	87.80	87.07	79.51	80.98	59.02	51.22	0.94	0.97	0.97	0.93	0.94	0.88	0.90	0.69	0.52

Best performance value in bold.

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Table 13 Accuracy and AUC for Anti-pattern 1: ensemble Classifiers and Deep-Learning.

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