Using Convolutional Neural Network with Cheat Sheet and Data Augmentation to Detect Breast Cancer in Mammograms
Table 6
Test of hypothesis for the ratio between two variances.
Hypotheses
value and 95% CI
Conclusion
H01: the variance in the accuracy for CS equals the variance in the accuracy for OS; . H11: the variance of accuracy for CS is less than the variance of accuracy for OS; .
0.008 [0.1 ∞)
There is statistical evidence that the variance in the accuracy for CS is less than the variance in the accuracy for OS by a factor of 0.1.
H02: the variance in the accuracy for DA equals the variance in the accuracy for DA/CS; . H12: the variance in the accuracy for DA is more than the variance in the accuracy for DA/CS; .
0.001 [2.3 ∞)
There is statistical evidence that the variance in the accuracy for DA is more than the variance in the accuracy for DA/CS by a factor of 2.3.
H03: the variance in the accuracy for DA/CS equals the variance in the accuracy for OS; . H13: the variance in the accuracy for OS is more than the variance in the accuracy for DA/CS; .
0.003 [2.2 ∞)
There is statistical evidence that the variance in the accuracy for OS is more than the variance in the accuracy for DA/CS by a factor of 2.2.