most citedA Generalized Variable Importance Metric and Estimator for Black Box Machine Learning Models

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

stat.ML2025

Marginal and Conditional Importance Measures from Machine Learning Models and Their Relationship with Conditional Average Treatment Effect

Mohammad Kaviul Anam Khan, Olli Saarela, Rafal Kustra

Interpreting black-box machine learning models is challenging due to their strong dependence on data and inherently non-parametric nature. This paper reintroduces the concept of im…

stat.CO2022★ 1 cited

A Generalized Variable Importance Metric and Estimator for Black Box Machine Learning Models

Mohammad Kaviul Anam Khan, Olli Saarela, Rafal Kustra

In this paper we define a population parameter, ``Generalized Variable Importance Metric (GVIM)'', to measure importance of predictors for black box machine learning methods, where…