Table 6 Relevance table for logistic... | Emerald Publishing

Table 6

Relevance table for logistic regression models

	y₁			y₂			y₃
	True		Total	True		Total	True		Total
Classified	D	∼D	Total	D	∼D	Total	D	∼D	Total
+	1,289	845	2,134	1,239	786	2,025	2,924	1,455	4,379
–	6,053	40,479	46,532	6,268	40,373	46,641	7,499	36,788	44,287
Total	7,342	41,324	48,666	7,507	41,159	48,666	10,423	38,243	48,666

	y₁			y₂			y₃
	True		Total	True		Total	True		Total
Classified	D	∼D	Total	D	∼D	Total	D	∼D	Total
+	1,289	845	2,134	1,239	786	2,025	2,924	1,455	4,379
–	6,053	40,479	46,532	6,268	40,373	46,641	7,499	36,788	44,287
Total	7,342	41,324	48,666	7,507	41,159	48,666	10,423	38,243	48,666

Classified + if predicted Pr(D) >= 0.5		True D defined as y₁ ! = 0	True D defined as y₂ ! = 0	True D defined as y₃ ! = 0
Sensitivity	Pr (+\|D)	17.56%	16.50%	28.05%
Specificity	Pr (−\|∼D)	97.96%	98.09%	96.20%
Positive predictive value	Pr (D\|+)	60.40%	61.19%	66.77%
Negative predictive value	Pr (∼D\|−)	86.99%	86.56%	83.07%
False + rate for true ∼ D	Pr (+\|∼D)	2.04%	1.91%	3.80%
False − rate for true D	Pr (−\|D)	82.44%	83.50%	71.95%
False + rate for classified +	Pr (∼D\|+)	39.60%	38.81%	33.23%
False − rate for classified -	Pr (D\|−)	13.01%	13.44%	16.93%
Correctly classified		85.83%	85.51%	81.60%

Classified + if predicted Pr(D) >= 0.5		True D defined as y₁ ! = 0	True D defined as y₂ ! = 0	True D defined as y₃ ! = 0
Sensitivity	Pr (+\|D)	17.56%	16.50%	28.05%
Specificity	Pr (−\|∼D)	97.96%	98.09%	96.20%
Positive predictive value	Pr (D\|+)	60.40%	61.19%	66.77%
Negative predictive value	Pr (∼D\|−)	86.99%	86.56%	83.07%
False + rate for true ∼ D	Pr (+\|∼D)	2.04%	1.91%	3.80%
False − rate for true D	Pr (−\|D)	82.44%	83.50%	71.95%
False + rate for classified +	Pr (∼D\|+)	39.60%	38.81%	33.23%
False − rate for classified -	Pr (D\|−)	13.01%	13.44%	16.93%
Correctly classified		85.83%	85.51%	81.60%

Source(s): Own elaboration