Research Article
A Derived QSAR Model for Predicting Some Compounds as Potent Antagonist against Mycobacterium tuberculosis: A Theoretical Approach
Table 7
Y-randomization parameters test.
| Model | | | |
| Original | 0.9265 | 0.9045 | 0.8512 | Random 1 | 0.3454 | 0.1193 | -1.0841 | Random 2 | 0.4868 | 0.2370 | -1.0985 | Random 3 | 0.4408 | 0.1943 | -0.9815 | Random 4 | 0.5575 | 0.3108 | -0.5503 | Random 5 | 0.2957 | 0.0874 | -1.1088 | Random 6 | 0.5562 | 0.3093 | -0.7285 | Random 7 | 0.7724 | 0.5966 | 0.0328 | Random 8 | 0.2752 | 0.0757 | -1.1166 | Random 9 | 0.74823 | 0.5598 | -0.0362 | Random 10 | 0.5557 | 0.3088 | -0.4448 | Random Models Parameters | | Average : | 0.3866 | | | Average : | 0.1465 | | | Average : | -0.3325 | | | : | 0.7443 | | |
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