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Code repo for Delaware River Basin machine learning models that predict dissolved oxygen
License: Creative Commons Zero v1.0 Universal
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Performance of v1 and v2 on metabolism variables
The question of the performance of v1 and v2 came up in the reviews. I did a little analysis on this. Below is a table of summary statistics of the NSE's for each of the sites with metabolism estimates for GPP.
| count | mean | std | min | 25% | 50% | 75% | max | |
|---|---|---|---|---|---|---|---|---|
| ('BC_24', 'v1 - Process-Informed Multitask') | 10 | 0.183483 | 0.041765 | 0.148315 | 0.155368 | 0.173863 | 0.184158 | 0.277129 |
| ('BC_24', 'v2 - Process-Dependent Multitask') | 10 | 0.121001 | 0.240079 | -0.333508 | -0.031117 | 0.137663 | 0.247184 | 0.451938 |
| ('BC_40', 'v1 - Process-Informed Multitask') | 10 | -0.0016963 | 0.040878 | -0.064888 | -0.0323425 | -0.0013305 | 0.027947 | 0.059083 |
| ('BC_40', 'v2 - Process-Dependent Multitask') | 10 | 0.0858435 | 0.120403 | -0.101917 | 0.0097475 | 0.0528945 | 0.172728 | 0.268014 |
| ('BC_53', 'v1 - Process-Informed Multitask') | 10 | -0.129638 | 0.0973996 | -0.323575 | -0.168624 | -0.116805 | -0.078289 | 0.040102 |
| ('BC_53', 'v2 - Process-Dependent Multitask') | 10 | -0.111172 | 0.396592 | -0.687346 | -0.412103 | -0.171459 | 0.199471 | 0.5041 |
| ('SR_40', 'v1 - Process-Informed Multitask') | 10 | -0.42923 | 0.173224 | -0.76964 | -0.528927 | -0.394296 | -0.317387 | -0.160238 |
| ('SR_40', 'v2 - Process-Dependent Multitask') | 10 | -0.561778 | 0.320169 | -1.0773 | -0.708186 | -0.482284 | -0.338313 | -0.213263 |
And ER:
| count | mean | std | min | 25% | 50% | 75% | max | |
|---|---|---|---|---|---|---|---|---|
| ('BC_24', 'v1 - Process-Informed Multitask') | 10 | 0.379391 | 0.042008 | 0.292413 | 0.363698 | 0.375451 | 0.405685 | 0.447272 |
| ('BC_24', 'v2 - Process-Dependent Multitask') | 10 | 0.265132 | 0.18703 | -0.12138 | 0.174873 | 0.248651 | 0.419316 | 0.487525 |
| ('BC_40', 'v1 - Process-Informed Multitask') | 10 | -0.0487092 | 0.0424984 | -0.114341 | -0.070662 | -0.058703 | -0.0354472 | 0.031145 |
| ('BC_40', 'v2 - Process-Dependent Multitask') | 10 | -0.0402173 | 0.0880268 | -0.158404 | -0.113148 | -0.0345635 | 0.020053 | 0.089052 |
| ('BC_53', 'v1 - Process-Informed Multitask') | 10 | -0.0912459 | 0.21411 | -0.319095 | -0.268808 | -0.096497 | -0.0248843 | 0.380792 |
| ('BC_53', 'v2 - Process-Dependent Multitask') | 10 | -0.412079 | 1.0233 | -2.56067 | -0.938191 | -0.0640765 | 0.322946 | 0.490124 |
| ('SR_40', 'v1 - Process-Informed Multitask') | 10 | 0.104795 | 0.0148806 | 0.085017 | 0.0922185 | 0.103179 | 0.117831 | 0.125553 |
| ('SR_40', 'v2 - Process-Dependent Multitask') | 10 | 0.0241732 | 0.10121 | -0.155439 | -0.0464302 | 0.068531 | 0.0946857 | 0.131504 |
Here are some example predictions at two of the sites (BC_24 which had the highest metrics for GPP and ER, and BC_53 and SR_40 which were the worst at predicting ER and GPP, respectively). I included all 10 replicates because they vary quite a lot replicate to replicate:
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