Research Article
The Prediction of Diatom Abundance by Comparison of Various Machine Learning Methods
Table 3
Results of logistic regression.
| ā | Estimate | Std. Error | z value | p-value | Std. Estimate |
| Intercept | -8.9789 | 4.8464 | -1.8530 | 0.0639 | -0.0436 | pH | 0.2108 | 0.6188 | 0.3410 | 0.7334 | 0.1039 | DO | 0.3519 | 0.1939 | 1.8150 | 0.0695 | 0.7971 | BOD | 0.07631 | 0.3113 | 0.2450 | 0.8064 | 0.0673 | COD | 0.1162 | 0.4113 | 0.2830 | 0.7775 | 0.1252 | Susp | 0.0971 | 0.0524 | 1.8520 | 0.0639 | 0.5423 | TN | 1.2665 | 0.7994 | 1.5840 | 0.1131 | 1.0086 | TP | -26.4483 | 17.4433 | -1.5160 | 0.1295 | -0.6749 | TOC | -0.7778 | 0.4644 | -1.6750 | 0.0939 | -0.6198 | Temp | 0.1763 | 0.0679 | 2.5940 | 0.0095 | 1.5261 | NH3-N | -9.5813 | 4.1612 | -2.3030 | 0.0213 | -0.5936 | NO3-N | 0.1732 | 0.9129 | 0.1900 | 0.8495 | 0.1195 | PO4-P | -10.9478 | 27.6156 | -0.3960 | 0.6918 | -0.1678 |
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