Table 2 K–S test results of the LCFD distributions at the 5\(\%\) significance level. P-values highlighted in boldface indicate distribution separability.
From: Deep learning applied to analyze patterns from evaporated droplets of Viscum album extracts
LCFD—Original | LCFD—DenseNet | LCFD—GLCM | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
Hypothesis | T | D | L | Hypothesis | \(C_1\) | \(C_2\) | \(C_3\) | Hypothesis | \(C_1\) | \(C_2\) | \(C_3\) |
T | 0 | 0 | 1 | \(C_1\) | 0 | 1 | 1 | \(C_1\) | 0 | 0 | 1 |
D | 0 | 0 | 0 | \(C_2\) | 1 | 0 | 0 | \(C_2\) | 0 | 0 | 0 |
L | 1 | 0 | 0 | \(C_3\) | 1 | 0 | 0 | \(C_3\) | 1 | 0 | 0 |
LCFD—Original | LCFD—DenseNet | LCFD—GLCM | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
p-values | T | D | L | p-values | \(C_1\) | \(C_2\) | \(C_3\) | p-values | \(C_1\) | \(C_2\) | \(C_3\) |
T | 0 | 0.2204 | 0.0332 | \(C_1\) | 0 | 0.0434 | 0.0076 | \(C_1\) | 0 | 0.1796 | 0.0103 |
D | 0.2204 | 0 | 0.6044 | \(C_2\) | 0.0434 | 0 | 0.1426 | \(C_2\) | 0.1796 | 0 | 0.1651 |
L | 0.0332 | 0.6044 | 0 | \(C_3\) | 0.0076 | 0.1426 | 0 | \(C_3\) | 0.0103 | 0.1651 | 0 |
