Consistent and Clear Reporting of Results from Diverse Modeling Techniques: The A3 Method
Consistent and Clear Reporting of Results from Diverse Modeling Techniques: The A3 Method
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DOI：
10.18637/jss.v066.i07
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发表时间：
2015-08
影响因子：
5.8
通讯作者：
Scott Fortmann-Roe
中科院分区：
文献类型：
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作者：
Scott Fortmann-Roe
在构建模型时，模型误差的测量和报告至关重要。这里，提出了一种通用方法和 R 包 A3，以支持模型拟合质量以及可变重要性指标的评估和交流。所提出的方法准确、稳健，并且适用于各种预测建模算法。该方法连同案例研究和使用指南一起进行了描述。展示了如何使用该方法来获得更准确的预测模型，以及这如何同时导致有关系统内潜在驱动因素影响的推论和结论的改变。
The measurement and reporting of model error is of basic importance when constructing models. Here, a general method and an R package, A3, are presented to support the assessment and communication of the quality of a model fit along with metrics of variable importance. The presented method is accurate, robust, and adaptable to a wide range of predictive modeling algorithms. The method is described along with case studies and a usage guide. It is shown how the method can be used to obtain more accurate models for prediction and how this may simultaneously lead to altered inferences and conclusions about the impact of potential drivers within a system.