Global Optimization Ensemble Model for Classification Methods

Table 6

Results for cancer dataset: comparison of optimized classification accuracy using GMC model with simple classification using different classifiers.

Algorithm	Classification accuracy	Optimized classification accuracy	Improvement %
K-NN	66.81%	96.57%	29.76%
Decision tree	94.42%	96.71%	2.29%
ID3	66.52%	85.27%	18.52%
W-PART	94.71%	97.28%	2.57%
W-Prism	90.13%	96.28%	6.15%
W-J48	94.71%	96.71%	2%
W-AODE	97.00%	100%	3%
Logistic regression	95.01%	96.14%	1.13%