Table 6.

Comparison with the existing work for breast cancer diagnosis.

Authors	Classifiers	Accuracy (%)
Proposed Approach	Dimensionality Reduction and Ensemble based learning	99.00
Darzi et al. [20]	CBR-Genetic (case-based reasoning)	97.37
Nguyen et al. [3]	Ensemble Method	98.00
Rodrigues et al. [11]	Bayesian Network Decision Tree	97.80 92.00
Subhani et al. [17]	Logistic Regression Support Vector Machine K Nearest Neighbor	88.00 92.70 82.00
Ahmed et al. [4]	Decision tree Artificial neural network Support Vector Machine	93.60 94.70 95.70
Lucas et al. [11]	Bayesian network J48 Decision tree	97.80 96.05
Bharat et al. [12]	Decision tree C4.5 Support Vector Machine Naive Bayes K Nearest Neighbor	95.00 96.20 97.00 91.00
Assiri et al. [19]	Ensembled machine learning method	99.42