A Privacy-Protection Model for Patients

Table 2

The result of training.

Index	Label	Predict_result	Predict_score	Predict_detail	Type	Other
1	0	0	0.078641	{‘0': 0.9213587838889536	‘1': 0.07864121611104637}	Train
2	0	0	0.242046	{‘0': 0.7579539730347816	‘1': 0.2420460269652184}	Train
3	0	0	0.295851	{‘0': 0.7041491549790799	‘1': 0.29585084502092}	Train
4	0	1	0.953959	{‘0': 0.04604114486783373	‘1': 0.9539588551321663}	Train
5	0	1	0.598822	{‘0': 0.401177819540372	‘1': 0.598822180459628}	Train
6	0	1	0.980817	{‘0': 0.019183466307048036	‘1': 0.980816533692952}	Train
7	0	0	0.049818	{‘0': 0.95018217382329	‘1': 0.04981782617671007}	Train
8	1	0	0.003503	{‘0': 0.9964965574508085	‘1': 0.00350344254919155}	Train
9	1	0	0.02129	{‘0': 0.978709874597958	‘1': 0.021290125402041987}	Train
10	0	0	0.35347	{‘0': 0.6465295143293885	‘1': 0.3534704856706114}	Train