Great machine learning performance with multiple classification algorithms. by Sydney C. Weiser (15383531)

Details of multiple GWO algorithm variants. by Genliang Li (5816264)

Confusion matrices showing the isotype classification performance for the five best algorithms. by Alexandros Sopasakis (18291342)

Subjects:

Histogram of accuracy values for different machine learning models across multiple runs. by Amal H. Alharbi (21755906)

Dataset for: Integrating Multiple-Domain Rules for Disease Classification by Christine Mauro (6533510)

“…In this paper, we propose a method to integrate classification rules from multiple data sources to estimate an optimal criteria set. …”

Validation of Acetylcholinesterase Inhibition Machine Learning Models for Multiple Species by Patricia A. Vignaux (6911525)

Cell fishing: A similarity based approach and machine learning strategy for multiple cell lines-compound sensitivity prediction by E. Tejera (7470644)

Cell fishing: A similarity based approach and machine learning strategy for multiple cell lines-compound sensitivity prediction - Fig 1 by E. Tejera (7470644)

Cell fishing: A similarity based approach and machine learning strategy for multiple cell lines-compound sensitivity prediction - Fig 2 by E. Tejera (7470644)

Summary of feature-selection algorithms. by Stephen R. Piccolo (8367780)

Ability of the five best algorithms to determine the M-protein isotypes. by Alexandros Sopasakis (18291342)

Subjects:

Image2_Integrating multiple machine learning algorithms for prognostic prediction of gastric cancer based on immune-related lncRNAs.TIF by Guoqi Li (400304)

Image1_Integrating multiple machine learning algorithms for prognostic prediction of gastric cancer based on immune-related lncRNAs.TIF by Guoqi Li (400304)

Image4_Integrating multiple machine learning algorithms for prognostic prediction of gastric cancer based on immune-related lncRNAs.TIF by Guoqi Li (400304)

Image3_Integrating multiple machine learning algorithms for prognostic prediction of gastric cancer based on immune-related lncRNAs.TIF by Guoqi Li (400304)

Image3_Integrating multiple machine learning algorithms for prognostic prediction of gastric cancer based on immune-related lncRNAs.TIF by Guoqi Li (400304)

Image4_Integrating multiple machine learning algorithms for prognostic prediction of gastric cancer based on immune-related lncRNAs.TIF by Guoqi Li (400304)

Image2_Integrating multiple machine learning algorithms for prognostic prediction of gastric cancer based on immune-related lncRNAs.TIF by Guoqi Li (400304)

Image1_Integrating multiple machine learning algorithms for prognostic prediction of gastric cancer based on immune-related lncRNAs.TIF by Guoqi Li (400304)

The performance of different algorithms for classification of cows whether they have infectious lameness or non-infectious lameness condition among the diseased cows. by Rajesh Neupane (19173436)