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Symbolic Regression on SRBench black-box (test)

0.842R^2GenSR
-3.928617-2.690092-1.451566-0.21304Jun 10, 2024Oct 7, 2024Feb 3, 2025Jun 2, 2025Sep 29, 2025Jan 26, 2026May 26, 2026

Evaluation results

MethodLinks
GenSRNoise level (epsilon)=02026.050.84235—
GenSR2026.020.841635.052,725
SBP-GPModel Size=639, Training Time (s)=166745.462024.060.7989——
OperonModel Size=65.0, Training Time (s)=2979.432024.060.7948——
Operon2026.020.794565.692,974
OperonNoise level (epsilon)=02026.050.79466—
TPSRModel Size=95.7, Training Time (s)=504.382024.060.792——
SBP-GPNoise level (epsilon)=02026.050.787634—
SBP-GP2026.020.7869634149,344
FEATModel Size=74.2, Training Time (s)=6723.912024.060.7847——
XGBModel Size=16400, Training Time (s)=240.582024.060.7758——
FEAT2026.020.762182.496,432
EPLEXModel Size=55.8, Training Time (s)=15673.692024.060.7604——
XGB2026.020.749620,186236
GP-GOMEAModel Size=27.3, Training Time (s)=9063.542024.060.7466——
GP-GOMEA2026.020.738130.279,636
GP-GOMEANoise level (epsilon)=02026.050.73830—
EPLEX2026.020.737253.1415,796
EPLEXNoise level (epsilon)=02026.050.73753—
BingoModel Size=22.2, Training Time (s)=53537.422024.060.712——
AdaBoostModel Size=10000, Training Time (s)=65.292024.060.7048——
RandomForestModel Size=1.54e+06, Training Time (s)=120.212024.060.6985——
AdaBoost2026.020.69399,48165.12
AFP_FEModel Size=35.6, Training Time (s)=6153.502024.060.6646——
RandomForest2026.020.66151,517,178120.4
AFPModel Size=34.5, Training Time (s)=6002.552024.060.6576——
DSR-OCTModel Size=14.8, Training Time (s)=4267.682024.060.6424——
LGBM2026.020.6415,73429.9
ITEAModel Size=112, Training Time (s)=12337.482024.060.6407——
AFP-FE2026.020.6436.046,184
AFP-FENoise level (epsilon)=02026.050.6436—
LGBMModel Size=5500, Training Time (s)=28.532024.060.6377——
AFP2026.020.633334.896,033
AFPNoise level (epsilon)=02026.050.63335—
ITEA2026.020.6295116.712,183
ITEANoise level (epsilon)=02026.050.629117—
MDLNoise level (epsilon)=02026.050.62630—
MDL2026.020.625829.88541.7
CADSRModel Size=11.9, Training Time (s)=5643.432024.060.6155——
KernelRidgeModel Size=1820, Training Time (s)=38.882024.060.6151——
KernelRidge2026.020.59521,82439.19
DSR-NCTModel Size=8.89, Training Time (s)=35096.162024.060.5717——
DSR2026.020.56259.46536,852
DSRNoise level (epsilon)=02026.050.56210—
LEENoise level (epsilon)=02026.050.5599—
FFX2026.020.55751,562244.3
SPL2026.020.547212.962,047
SPLNoise level (epsilon)=02026.050.54713—
gplearnModel Size=16.3, Training Time (s)=24157.992024.060.5413——
GPlearn2026.020.53919.0624,254
GPlearnNoise level (epsilon)=02026.050.53919—
MLPModel Size=3880, Training Time (s)=30.472024.060.5312——
MRGP2026.020.5310,802165,007
MLP2026.020.52383,88230.49
LinearModel Size=17.4, Training Time (s)=0.242024.060.4542——
Linear2026.020.443717.40.2447
MRGPModel Size=12100, Training Time (s)=190697.782024.060.4179——
E2ESR2026.020.361261.097.101
E2ESRNoise level (epsilon)=02026.050.36161—
SNIPNoise level (epsilon)=02026.050.33439—
SNIP2026.020.333538.913.286
RSRM2026.020.33249.231,752
RSRMNoise level (epsilon)=02026.050.3329—
BSR2026.020.272522.5259,822
BSRModel Size=19.8, Training Time (s)=20426.862024.060.2576——
AIFeynman22026.020.2112,24086,854
AIFeynman2Noise level (epsilon)=02026.050.2112,240—
NeurSRNoise level (epsilon)=02026.050.12313—
NeurSR2026.020.122813.3311.7
FFXModel Size=1570, Training Time (s)=243.742024.06-0.6677——
AIFeynmanModel Size=2500, Training Time (s)=82069.312024.06-3.7451——