K-means++ clustering algorithm. حسب Zhen Zhao (159931)

"…Compared with MDA-RF, the prediction accuracy of the improved RF built on the same subset increased by 1.7%, indicating that improving the bootstrap sampling of random forest by using the K-means++ clustering algorithm can enhance model accuracy to some extent. …"

Clustering with k-means algorithm. حسب Efehan Ulas (10987211)

Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code حسب Goutami Sooda (20714729)

One-step trajectory prediction results for the X-coordinate: (a) one-step prediction error for the basic single algorithm; (b) one-step prediction error for each single algorithm i... حسب Lin Li (28817)

الموضوعات:

One-step trajectory prediction results for the Z-coordinate: (a) one-step prediction error for the basic single algorithm; (b) one-step prediction error for each single algorithm i... حسب Lin Li (28817)

الموضوعات:

One-step trajectory prediction results for the Y-coordinate: (a) one-step prediction error for the basic single algorithm; (b) one-step prediction error for each single algorithm i... حسب Lin Li (28817)

الموضوعات:

Pseudo code. حسب Xuwei Liu (6034592)

"…On the basis of the traditional quota formulation model based on statistical theory, artificial neural networks are introduced, and regularization techniques and particle swarm optimization algorithms are taken to optimize the model performance. …"

Computed mean error rate for each algorithm and dataset. حسب Yubraj Gupta (7465394)

الموضوعات:

Data and code resources. حسب Sam Hall-McMaster (10343795)

Source Code and Dataset حسب Swathi Ganesan (14394924)

Comparison results of prediction model with single algorithm and combination algorithm. حسب Jiayuan Wang (3765376)

الموضوعات:

Workflow diagram of the prediction algorithm framework. حسب Bin Pan (742525)

Flow chart of ADIBAS-Volterra aircraft trajectory prediction algorithm. حسب Lin Li (28817)

الموضوعات:

The percentage difference between the weight fraction of the elements reported by the algorithm and ground truth when present in the error in the mass attenuation coefficients used as an input. حسب Dong Hyeok Choi (12562048)

"…<p>The percentage difference between the weight fraction of the elements reported by the algorithm and ground truth when present in the error in the mass attenuation coefficients used as an input.…"

The comparison results with decomposition algorithms. حسب Abrar Ahmed (786961)

Data on the prediction performances of ML algorithms. حسب Yasemin Ayaz Atalan (21989402)

Mean predicted relative risk for a) Sri Lanka and b) Bangladesh with the Random Forest algorithm. حسب Umanga Gunasekera (21162038)

الموضوعات:

One-step prediction results for the trajectory prediction dataset with added noise. حسب Lin Li (28817)

الموضوعات:

Pseudocode for the missForestPredict algorithm. حسب Elena Albu (15181070)

"…This allows users to tailor the imputation to their specific needs. The missForestPredict algorithm is compared to mean/mode imputation, linear regression imputation, mice, k-nearest neighbours, bagging, miceRanger and IterativeImputer on eight simulated datasets with simulated missingness (48 scenarios) and eight large public datasets using different prediction models. missForestPredict provides competitive results in prediction settings within short computation times.…"

A mean SHAP value report. حسب Alemu Birara Zemariam (17540938)