Boxplot comparing Ct values for HD in flies and clothes. by Philippe Ndzomo (17706039)

Decrease in loss during the training process. by Muhammad Idrees (92773)

Cross-lagged panel model consistency test based on physical activity, aggressive behavior and Chinese language learning. by Zixia Bu (21475019)

S1 Data. Bibliometric analysis. S2 Data. Estrogen level analysis. S3 Data. MicroCT quantification. S4 Data. Markers of bone metabolism. by Yan She (8639796)

Class-wise performance on the test set. by Muhammad Zubair (728141)

Means for STEM competence for pre- and post-test. by Esther Kim (2996622)

Means for global competence pre- and post-test scores. by Esther Kim (2996622)

SHAP interpretation of the optimal machine learning model. by Wentao Yang (205781)

Subjects:

Confusion Metrics: Presenting classification results on the test set. by Muhammad Zubair (728141)

Skin marks is the S1 Fig title. by Mercedes Soto-González (20422078)

Training Data/Validation/Test. by Mudhafar Jalil Jassim Ghrabat (22177655)

“…The trials used a dataset of 162 individuals with IDC, split into training (113 photos) and testing (49 images) groups. Every model was subjected to individual testing. …”

Comprehensive evaluation of machine-learning models in the training cohort. by Wentao Yang (205781)

Subjects:

Salt chemotaxis learning assay. by Masahiro Tomioka (430683)

The Ishihara test for colourblindness [41] encompasses stimuli that can determine the degree and type of colourblindness a person has. by Marcel F. Hinss (14675457)

Testing set error. by Xiangjuan Liu (618000)

“…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. Finally, the Beluga Whale Optimization (BWO)-tuned STL-PCA-BWO-BiLSTM hybrid model delivered optimal performance on test sets (RMSE = 0.22, MAE = 0.16, MAPE = 0.99%, ), exhibiting 40.7% higher accuracy than unoptimized BiLSTM (MAE = 0.27). …”

The optimized GPR approach’s cross-plotting for the testing dataset. by Fahd Saeed Alakbari (10701871)

The optimized GPR approach’s errors histogram of the testing dataset. by Fahd Saeed Alakbari (10701871)

Median SHAP values (calculated for CSCHF at age 5000 days) for binary features in the competing risks RSF model for different disease categories. The features are sorted in decreas... by Eric Wang (30587)

P values of Kruskal–Wallis test at 95% significance level. by Fahd Saeed Alakbari (10701871)

Loss of MAP4K4 expression causes a decrease in the number of neutrophils. by Guihua Wang (286390)