Predicting Breast Cancer Based on Optimized Deep Learning Approach

Table 3

The performance of applying regular ML models and DL model with selected features by correlation matrix.

Approaches	Model	CV performance				Testing performance
		AC	PR	RE	FM	AC	PR	RE	FM
Regular ML approach	DT	94.4	94.98	94.51	94.56	92.11	92.11	92.11	92.1
	KNN	89.85	90.63	89.85	89.51	86.67	87.4	86.67	86.17
	NB	81.84	82.38	81.84	81.01	83.68	84.33	83.68	83.0
	RF	97.01	96.74	96.75	96.68	94.04	94.05	94.04	94.03
	SVM	94.73	94.94	94.73	94.66	93.86	93.85	93.86	93.84
DL approach	The optimized deep RNN	97.92	97.77	97.79	97.78	95.18	95.44	95.18	95.21