Is Deep Learning for Image Recognition Applicable to Stock Market Prediction?

Table 5

Accuracy comparison for CNNs with different dropout probabilities during the test period.

	Dropout probability	Hit ratio	Specificity	Sensitivity
CNN1	0	0.85	0.9593	0.6971
	0.25	0.67	0.6904	0.6507
	0.5	0.66	0.6611	0.6508
CNN2	0	0.62	0.6679	0.5878
	0.25	0.68	0.6992	0.6744
	0.5	0.67	0.6825	0.6209
CNN3	0	0.64	0.9559	0.2487
	0.25	0.64	0.9091	0.3012
	0.5	0.62	0.6151	0.6302
CNN4	0	0.66	0.6548	0.6872
	0.25	0.62	0.6040	0.6375
	0.5	0.62	0.6114	0.6393