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20182023
most citedPerformance evaluation and hyperparameter tuning of statistical and machine-learning models using spatial data

629 citations · 699 across the 5 of their papers we have counts for

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2 papers · 1 filter

cs.LG2021★ 35 cited

Spatial machine-learning model diagnostics: a model-agnostic distance-based approach

Alexander Brenning

While significant progress has been made towards explaining black-box machine-learning (ML) models, there is still a distinct lack of diagnostic tools that elucidate the spatial be…

cs.LG2021★ 26 cited

Transforming Feature Space to Interpret Machine Learning Models

Alexander Brenning

Model-agnostic tools for interpreting machine-learning models struggle to summarize the joint effects of strongly dependent features in high-dimensional feature spaces, which play…