Using Convolutional Neural Network with Cheat Sheet and Data Augmentation to Detect Breast Cancer in Mammograms

Table 7

Quantitative analysis for observations regarding Figure 7.

Hypotheses	value and 95% CI	Conclusion
H04: the mean accuracy of CS equals the mean accuracy of OS; .; H14: the mean accuracy of CS is larger than the mean accuracy of OS; .	0.00 [8.56 ∞)	There is statistical evidence that the mean accuracy of the CS set is larger than the mean accuracy of OS by at least 8.56 percent.
H05: the mean accuracy of DA/CS equals the mean accuracy of DA; .; H15: the mean accuracy of DA/CS is larger than the mean accuracy of DA; .	0.00 [13.25 ∞)	There is statistical evidence that the mean accuracy of the DA/CS set is larger than the mean accuracy of DA by at least 13.25 percent.
H06: the mean accuracy of DA/CS equals the mean accuracy of CS; .; H16: the mean accuracy of DA/CS is larger than the mean accuracy of CS; .	0.00 [1.45 ∞)	There is statistical evidence that the mean accuracy of the DA/CS set is larger than the mean accuracy of CS by at least 1.45 percent.
H07: the mean accuracy of DA equals the mean accuracy of OS; .; H17: the mean accuracy of DA is larger than the mean accuracy of OS; .	0.9 [-4.56 ∞)	There is no statistical evidence that the mean accuracy of the DA set is larger than the mean accuracy of OS.