Unverified50% confidenceBenchmarkExact time
Gradient Boosting and XGBoost both achieved an R² of 0.903 on unseen data.
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50%
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Long-term
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10/19/2026
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UnverifiedThe coefficient of determination R² for this power-law fit is 0.732, which improves to 0.821 after adding interaction terms.71% similarUnverifiedRLDS achieved an improvement of +11.5 points on ScienceWorld (95% confidence interval [+9.8, +13.3]) and +9.8 points on FrozenLake ([+7.0, +12.8]).62% similarUnverifiedAfter replacing the flat linear head with a label-correlation model, the detection rate improved from 0.621 to 0.682.59% similarUnverifiedThe squared relationship between out-of-sample R² and the correlation coefficient r does not hold strictly, because the denominator of R² is fixed to the mean baseline, whereas r² varies with the variance of the predicted values.59% similarUnverifiedOn the P-words task, the model achieves an R² of 0.9 and a normalized root mean square error (NRMSE) as low as 0.05.59% similar
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