Global Optimization Ensemble Model for Classification Methods

Table 7

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

Algorithm	Classification accuracy	Optimized classification accuracy	Improvement %
K-NN	50.82%	59.75%	8.93%
Decision tree	44.89%	59.43%	14.54%
ID3	47.52%	55.48%	8.24%
W-PART	50.52%	60.08%	9.56%
W-Prism	47.51%	56.09%	8.58%
W-AODE	55.47%	61.13%	5.66%
W-J48	49.87%	61.05%	11.18%
Rule induction	57.72%	59.76%	2.4%