Research Article
The Prediction of Diatom Abundance by Comparison of Various Machine Learning Methods
Table 1
Characteristics of variables.
| Characteristic | Variable Type | Descriptions | Mean | SD | Minimum | Maximum |
| Dia | Response | Diatom Abundance | 4735.453 | 5194.028 | 0.000 | 42453.000 | pH | Explanatory Variable | pH value | 8.183 | 0.493) | 7.200 | 9.600 | DO | Explanatory Variable | Dissolved Oxygen | 11.070 | 2.265 | 6.500 | 15.500 | BOD | Explanatory Variable | Biochemical Oxygen Demand | 2.317 | 0.882 | 0.900 | 4.800 | COD | Explanatory Variable | Chemical Oxygen Demand | 6.283 | 1.077 | 4.100 | 10.700 | Susp | Explanatory Variable | Suspended solid | 9.494 | 5.586 | 2.200 | 44.300 | TN | Explanatory Variable | Total Nitrogen | 2.826 | 0.796 | 1.361 | 5.483 | TP | Explanatory Variable | Total Phosphorus | 0.053 | 0.026 | 0.015 | 0.174 | TOC | Explanatory Variable | Total Organic Carbon | 3.925 | 0.797) | 2.600 | 7.600 | Temp | Explanatory Variable | Water Temperature | 16.382 | 8.657 | 2.600 | 34.300 | NH3-N | Explanatory Variable | Ammonia Nitrogen | 0.080 | 0.062 | 0.008 | 0.378 | NO3-N | Explanatory Variable | Nitric Nitrogen | 2.021 | 0.690 | 0.650 | 4.003 | PO4-P | Explanatory Variable | Phosphorate Phosphorus | 0.009 | 0.015 | 0.000 | 0.092 |
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