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Penn Machine Learning Benchmark

Penn Machine Learning Benchmarks (PMLB) is a large collection of curated benchmark datasets for evaluating and comparing supervised machine learning algorithms.

Papers

Showing 13 of 3 papers

TitleStatusHype
Data-Informed Model Complexity Metric for Optimizing Symbolic Regression Models0
SR-Forest: A Genetic Programming based Heterogeneous Ensemble Learning MethodCode1
An Evolutionary Forest for RegressionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SR-ForestR2 Score0.71Unverified
2Evolutionary ForestR2 Score0.7Unverified