Discovery of Knowledge in the Incidence of a Type of Lung Cancer for Patients through Data Mining Models

Table 1

Comparative analysis of other information about the various created models.

	Logistic regression algorithm	Naive Bayes algorithm	K star	Bagging algorithm	OneR algorithm	ZeroR algorithm	J48 algorithm	Random tree	. Naive Bayes
Correctly classified instances	88.86%	89.86%	88.87%	90.84%	86.87%	79.90%	88.20%	89.01%	89.01%
Kappa statistics	0.64	0.69	0.63	0.7	0.6	0	0.64	0.68	0.68
Mean absolute error	0.16	0.11	0.156	0.153	0.14	0.31	0.13	0.1	0.1
Root mean squared error	0.3	0.3	0.288	0.28	0.4	0.401	0.34	0.33	0.33
Relative absolute error	49.30%	33.70%	49.30%	47.68%	40.79%	100.00%	38.40%	33.10%	33.10%
Root relative squares error	72.03%	70.00%	72.03%	67.54%	90.46%	100.00%	84.00%	82.00%	82.00%
Total number of Instances in all algorithms: 404