Global Optimization Ensemble Model for Classification Methods

Table 11

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

Algorithm	Classification accuracy	Optimized classification accuracy	Improvement %
K-NN	46%	54%	8%
Decision Tree	42%	56%	14%
ID3	20%	44%	24%
W-PART	32%	54%	22%
W-Prism	24%	50%	26%
W-J48	44%	58%	14%
W-AODE	46%	56%	10%
SVM	60%	76%	16%
Random forest	48%	58%	12%
Rule induction	44%	54%	10%