Using logistic regression model selection towards interpretable machine learning in mineral prospectivity modeling
Summary
Using logistic regression model selection towards interpretable machine learning in mineral prospectivity modeling is a scholarly article[1].
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Using logistic regression model selection towards interpretable machine learning in mineral prospectivity modeling's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Using logistic regression model selection towards interpretable machine learning in mineral prospectivity modeling. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-logistic-regression-model-selection-towards-interpretable-machine-learning-in-mineral-prospectivity-modeling
MLA“Using logistic regression model selection towards interpretable machine learning in mineral prospectivity modeling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-logistic-regression-model-selection-towards-interpretable-machine-learning-in-mineral-prospectivity-modeling.
BibTeX@misc{4ortxyz_using-logistic-regression-model-selection-towards-interpretable-machine-learning-in-mineral-prospectivity-modeling_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using logistic regression model selection towards interpretable machine learning in mineral prospectivity modeling}}, year = {2026}, url = {https://4ort.xyz/entity/using-logistic-regression-model-selection-towards-interpretable-machine-learning-in-mineral-prospectivity-modeling}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using logistic regression model selection towards interpretable machine learning in mineral prospectivity modeling — https://4ort.xyz/entity/using-logistic-regression-model-selection-towards-interpretable-machine-learning-in-mineral-prospectivity-modeling (retrieved 2026-05-24)