Applying Data-Driven Machine Learning to...
URL: https://doi.org/10.1130/abs/2021AM-365177
This study demonstrates that two foundational machine learning algorithms (logistic regression and XGBoost), implemented using unbiased data analysis strategies, agree with previous studies that relied much more heavily on expert-systems knowledge.
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| Name | Applying Data-Driven Machine Learning to Geothermal Favorability in Western United States |
| Format | Web Page |
| License | Creative Commons Attribution |
| Created | 8 months ago |
| Media type | text/html |
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| id | b5b3073b-dd55-4c0f-84e3-b8e0aed95ffc |
| metadata modified | 8 months ago |
| package id | 0d122e9c-a5cb-4dc4-8b59-fc57c1051f23 |
| position | 6 |
| state | active |
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