BMC Medical Informatics and Decision Making

Table 5 Performance comparison of the CNN model with other algorithms. SVM: Support Vector Machine; ET: Extra Trees; RF: Random Forest; LR: Logistics Regression; Bi-LSTM: Bi-directional Long Short-Term Memory. Bold number denotes the largest number in that row

From: Extracting psychiatric stressors for suicide from social media using deep learning

		CNN	SVM	ET	RF	LR	Bi-LSTM
Precision	Positive	0.78	0.7	0.69	0.69	0.7	0.73
Precision	Negative	0.69	0.72	0.58	0.5	0.67	0.65
Recall	Positive	0.88	0.96	0.94	0.88	0.94	0.9
Recall	Negative	0.51	0.21	0.17	0.24	0.23	0.37
F-1 measure	Positive	0.83	0.81	0.79	0.77	0.8	0.81
F-1 measure	Negative	0.59	0.33	0.27	0.33	0.34	0.47
Accuracy		0.74	0.703	0.689	0.665	0.697	0.72

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ISSN: 1472-6947

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