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DNA methylation

Blood DNA Methylation Age (GSE40279)

DNA methylation measurements from human whole blood, collected with Illumina HumanMethylation450 arrays across people of different ages. The regression task is to predict a participant's chronological age from methylation levels at CpG sites.

RegressionLicence: NCBI GEO public data; study-specific terms require verification before re-hostingGEO-GSE40279-Methylation-AgeTarget: age (y)geo_matrix ↗

Mean cross-validation scores for this dataset. Each score comes from the requested feature- and sample-cap cell, and failed fits use the constant predictor.

At this operating point

Model comparison

p=10,000, n=100 · Lower RMSE is better

Random Forest is marked with a diamond. Models are ordered by the selected metric.

Across sample budgets

Learning curves

All metric values at this operating point
ModelRMSEMAER²
RealTabPFN 2.510.638.8940.138
TabFM10.939.0550.08505
RealTabPFN v211.49.50.03343
Kumo Tabular (M)11.549.6920.007528
TabPFN 3.511.559.704-0.03883
LimiX211.699.45-0.05634
Causilo12.1610.27-0.1284
MITRA12.2310.2-0.1471
XGBoost (tuned)12.4310.05-0.2375
GeneICL12.4710.59-0.1855
Logistic Regression12.8510.79-0.2205
Random Forest12.8610.53-0.2853
Logistic Regression (tuned)13.0710.89-0.2619
Random Forest (tuned)13.6511.27-0.4033
Extra Trees (tuned)13.6611.27-0.3885
Extra Trees13.6811.27-0.44
TabM13.7711.42-0.3854
XGBoost14.3211.79-0.6065
TabDPT14.4712.03-0.6149
AutoGluon14.4812.01-0.6045
MLP (tuned)14.5912.26-0.6562
MLP14.8812.69-0.6098
RealMLP14.9612.49-0.778