A Decision for Predicting Successful Extubation of Patients in Intensive Care Unit

Table 8

The reasons for classification of the logistic regression analysis.

Patient number	= extubation	Forecast; groups	Predicting; probability	classification; score	Misjudgment	Analysis of reasons
(1)	1	1	0.756
(2)	1	1	0.545
(3)	0	0	0.119
(4)	1	1	0.669
(5)	1	1	0.716
(6)	1	0	0.064		Misjudgment	Positive values should be classified in successful groups
(7)	1	1	0.806
(8)	0	0	0.350
(9)	0	1	0.947		Misjudgment	Negative values should be judged as failed groups
(10)	1	1	0.884
(11)	0	0	0.224
(12)	1	1	0.949
(13)	1	1	0.906
(14)	1	1	0.941
(15)	0	0	0.009
(16)	0	0	0.202
(17)	1	1	1.000
(18)	0	0	0.306
(19)	1	1	0.937
(20)	0	1	0.514		Misjudgment	Negative values should be judged as failed groups
(21)	0	1	0.705		Misjudgment	Negative values should be judged as failed groups
(22)	0	0	0.048
(23)	1	1	0.829
(24)	0	1	0.746		Misjudgment	Positive values should be classified into successful groups
(25)	0	0	0.113
(26)	1	1	0.680
(27)	0	0	0.210
(28)	0	0	0.022
(29)	1	1	0.998
(30)	1	1	0.896
(31)	1	1	0.881
(32)	1	1	0.917
(33)	1	1	0.979
(34)	0	0	0.016
(35)	1	1	0.599
(36)	1	1	0.810
(37)	0	0	0.169
(38)	1	1	0.523
(39)	1	1	0.877
(40)	0	0	0.003
(41)	0	0	0.135