The accuracy of all employed learning algorithms. by Quan Shao (20148209)

Results of the PSNR measure for all algorithms. by Jiaqi Ma (773451)

Results of the FSIM measure for all algorithms. by Jiaqi Ma (773451)

Results of the SSIM measure for all algorithms. by Jiaqi Ma (773451)

Visual parametric framework for all fifteen algorithms. by Jalal- ud-Din (21474307)

AUC score comparison table for all the deep learning algorithms. by Khandaker Mohammad Mohi Uddin (13124356)

Quantitative results of three algorithms. by Zahoor Jan (20077515)

Subjects:

Performance metrics (compared with DXA-based measurement) for different prediction algorithms using all predictors in training data. by Nick Birk (15444728)

“…<p>Performance metrics (compared with DXA-based measurement) for different prediction algorithms using all predictors in training data.…”

Data Sheet 2_Assessing patient preferences for medical decision making - a comparison of different methods.pdf by Jakub Fusiak (20821037)

“…</p>Methods<p>We conducted a cross-sectional online survey including five preference elicitation Methods: best-worst scaling, direct weighting, PAPRIKA (Potentially All Pairwise Rankings of all Possible Alternatives), time trade-off, and standard gamble. …”

Data Sheet 1_Assessing patient preferences for medical decision making - a comparison of different methods.pdf by Jakub Fusiak (20821037)

“…</p>Methods<p>We conducted a cross-sectional online survey including five preference elicitation Methods: best-worst scaling, direct weighting, PAPRIKA (Potentially All Pairwise Rankings of all Possible Alternatives), time trade-off, and standard gamble. …”

Comparative overview of all DL and ML algorithms parameters in used in this study. by Khandaker Mohammad Mohi Uddin (13124356)

Test results of different algorithms. by Ling Zhao (111365)

A) Ranking of models trained on different feature sets across all tested algorithms, sorted by their F1-score. by Jose Cleydson F. Silva (8685594)

ClustAll performance against standard clustering algorithms. by Asier Ortega-Legarreta (18860557)

“…<p>A comparative analysis of ClustAll’s performance against standard clustering algorithms across multiple datasets. …”

RMSE (a), MSE (b), and NRMSE (c) of all algorithms in SM55. by Mouncef El Marghichi (17328361)

RMSE (a), MSE (b), and NRMSE (c) of all algorithms in ST40. by Mouncef El Marghichi (17328361)

Absolute maximum current, mean current, and power error for all evaluated algorithms. by Mouncef El Marghichi (17328361)

Mean feature importance of the different financial indicators across all the assets of the portfolio. by Alejandra de-la-Rica-Escudero (20570535)

General model performance for different algorithms. by Binghan Xue (21253235)

Changes in FID values of different algorithms. by Xiaojun Wang (50332)