Maximum IFN concentrations are decreased in severe patients. حسب Sonia T. Gazeau (21512764)

The variables that significantly predicted litter clump weight in shelter cats. حسب Allison Andrukonis (11846404)

Cat Stress Score (CSS) was significantly predicted by intake type and days in the study. حسب Allison Andrukonis (11846404)

PLB is a target gene of miRNA 221. حسب Hongyu Li (1332669)

Ordinal regression predictions. حسب Thierry Jean (20691795)

Binary classification predictions. حسب Thierry Jean (20691795)

Distribution of final population size (A) and mean change in mean MSI over time (B) over 100 simulations for each parameter set shown in Table 3 in the absence of weevils (left) an... حسب Alexandra M. Campbell (3284094)

Hypothesis 3: The mean difference between “Class 1” (a school attack happens within <i>k</i> kms. of a given school) and “Class 0” (no school attack happens within <i>k</i> kms. of... حسب Lirika Sola (21560710)

Lifespan of a single <i>T. utriculata</i> rosette. حسب Alexandra M. Campbell (3284094)

Variables for the bromeliad agent representing a single <i>T. utriculata</i> rosette. حسب Alexandra M. Campbell (3284094)

Comparison of training and predicted values of compound water solubility for different machine learning models: (A) AdaBoost, (B) GBDT, (C) LGBM, (D) RF, (E) XGBoost, (F) RF, and (... حسب Bin Pan (742525)

Histograms of (A) distance measured in meters to nearest neighboring tree given bin widths of 2 m (<i>n</i> = 44), and (B) basal areas of all sampled trees (<i>n</i> = 58; bin widt... حسب Alexandra M. Campbell (3284094)

Marginal means – Pooled across scenarios. حسب Mehdi Mourali (10170245)

Assessment values of machine learning models. حسب Bin Pan (742525)

"…The prediction results indicate that the StackBoost model excels in predicting aqueous solubility, achieving a coefficient of determination () of 0.90, a root mean square error (RMSE) of 0.29, and a mean absolute error (MAE) of 0.22, significantly outperforming the other comparative models. …"

List of datasets in AqSolDB. حسب Bin Pan (742525)

"…The prediction results indicate that the StackBoost model excels in predicting aqueous solubility, achieving a coefficient of determination () of 0.90, a root mean square error (RMSE) of 0.29, and a mean absolute error (MAE) of 0.22, significantly outperforming the other comparative models. …"

Feature importance derived from SHAP analysis. حسب Bin Pan (742525)

"…The prediction results indicate that the StackBoost model excels in predicting aqueous solubility, achieving a coefficient of determination () of 0.90, a root mean square error (RMSE) of 0.29, and a mean absolute error (MAE) of 0.22, significantly outperforming the other comparative models. …"

Relationship between ordinal regression and binary classification performance. حسب Thierry Jean (20691795)

Label distributions across mental states and dataset splits. حسب Thierry Jean (20691795)

Binary classification task performance. حسب Thierry Jean (20691795)

Ordinal regression task performance. حسب Thierry Jean (20691795)