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WTMAD-4: a fair weighting scheme for GMTKN55
Kyle R Bryenton1,2, Erin R Johnson1,2,3
1Department of Physics and Atmospheric Science, Dalhousie University, 6310 Coburg Road, Halifax, Nova Scotia, B3H 4R2, Canada.
A flaw in standard performance metrics for molecular quantum chemistry benchmarks was identified. A new WTMAD-4 metric ensures fair evaluation of electronic-structure methods, improving accuracy for density-functional approximations.
Area of Science:
- Molecular quantum chemistry
- Computational chemistry
- Electronic structure theory
Background:
- The GMTKN55 dataset is a standard benchmark for evaluating electronic-structure methods in molecular quantum chemistry.
- Current performance metrics, like weighted mean absolute deviation (WTMAD), unfairly under-weight certain benchmarks within the GMTKN55 set.
- This can lead to inaccurate assessments of method performance, particularly for density-functional approximations (DFAs).
Purpose of the Study:
- To identify and address the flaw in existing WTMAD definitions used for the GMTKN55 dataset.
- To propose a new, more equitable performance metric (WTMAD-4) that properly accounts for all component benchmarks.
- To reassess the performance of a large number of DFAs using the improved metric.
Main Methods:
- Analysis of existing WTMAD definitions and their impact on GMTKN55 benchmark weighting.
- Development of the WTMAD-4 metric, calibrated using errors from ten minimally empirical dispersion-corrected DFAs.
- Reassessment of 115 DFAs using the WTMAD-4 metric.
Main Results:
- A significant under-weighting of certain GMTKN55 benchmarks by conventional WTMAD definitions was confirmed.
- The proposed WTMAD-4 metric provides a more balanced and fair evaluation across all GMTKN55 benchmarks.
- Reassessment revealed instances where DFAs optimized with WTMAD-2 show suboptimal performance on benchmarks marginalized by that metric.
Conclusions:
- The WTMAD-4 metric offers a more reliable way to assess electronic-structure method performance on the GMTKN55 dataset.
- Fairer evaluation is crucial for developing accurate and robust density-functional approximations.
- Existing optimization strategies may need revision to account for the limitations of older WTMAD metrics.
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