Global Optimization Ensemble Model for Classification Methods

Table 8

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

Algorithm	Classification accuracy	Optimized classification accuracy	Improvement %
K-NN	70.75%	90.42%	19.67%
Decision tree	91.57%	95.49%	3.92%
W-PART	90.42%	96.67%	6.25%
W-Prism	52.32%	61.27%	8.95%
W-AODE	71.34%	75.26%	3.92%
W-J48	90.46%	96.63%	6.17%
Rule induction	86.37%	93.27%	6.9%