Predicting Breast Cancer Based on Optimized Deep Learning Approach

Table 6

The performance of applying regular ML models and DL model with the selected features by univariate.

Approach	Model	CV performance				Testing performance
		AC	PR	RE	FM	AC	PR	RE	FM
Regular ML approach	DT	95.17	95.11	94.73	94.72	89.04	89.32	89.04	89.1
	KNN	89.85	90.63	89.85	89.51	86.67	87.4	86.67	86.17
	NB	80.74	81.22	80.74	79.85	83.51	84.09	83.51	82.84
	RF	96.57	96.52	96.44	96.41	94.00	94.00	94.00	94.00
	SVM	93.85	94.07	93.85	93.78	93.86	93.85	93.86	93.84
DL approach	The optimized deep RNN	99.89	99.89	99.89	99.89	96.74	96.39	96.74	96.8