Table 6.

Evaluating classification algorithms after filling null values.

Classifier	Dimension	Accuracy	Sensitivity	Precision	F-measure	G-mean
IBK (k-nearest neighbor)	(manual)25	98.06	70.64	81.75	75.79	83.75
	(manual)59	96.37	34.10	64.41	44.59	58.15
	(manual)79	95.92	42.95	52.92	47.42	64.97
	(manual)93	95.60	49.36	48.67	49.01	69.43
	(weka)22	97.51	58.08	78.24	66.67	75.93
	(weka)93	95.63	48.97	49.04	49.01	69.18
Naïve Bayes	(manual)25	96.88	74.49	61.22	67.21	85.39
	(manual)59	98.84	77.69	94.25	85.17	88.05
	manual(79)	98.59	73.08	92.38	81.60	85.37
	(manual)93	97.39	70.90	69.13	70.00	83.60
	(weka)22	97.78	74.10	74.10	74.10	85.58
	(weka)93	97.44	72.05	69.47	70.74	84.28
SMO	(manual)25	99.33	84.62	99.85	91.60	91.98
	(manual)59	99.33	84.62	99.85	91.60	91.98
	(manual)79	99.33	84.49	100	91.59	91.92
	(manual)93	99.30	83.85	99.85	91.15	91.56
	(weka)22	99.29	84.62	98.65	91.10	91.96
	(weka)93	99.29	83.72	99.69	91.01	91.49

Abbreviations: SMO, sequential minimal optimization.