Accuracy of all models with top 5 features.

<div><p>Stroke analysis using game theory and machine learning techniques. The study investigates the use of the Shapley value in predictive ischemic brain stroke analysis. Initially, preference algorithms identify the most important features in various machine learning models, including...

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Bibliographic Details
Main Author:	Pritam Chakraborty (9261302) (author)
Other Authors:	Anjan Bandyopadhyay (19541099) (author), Sricheta Parui (22049880) (author), Sujata Swain (22049883) (author), Partha Sarathy Banerjee (22049886) (author), Tapas Si (12308990) (author), Hong Qin (279614) (author), Saurav Mallik (441729) (author)
Published:	2025
Subjects:	Science Policy Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified preference algorithms identify ischemic stroke prediction including logistic regression 39 %, surpassing support vector machine ensemble learning methods machine learning techniques integrating machine learning accurate predictions using increase predictive accuracy combining game theory shapley value method machine learning game theory shapley value predictive capabilities models using impressive accuracy shapely value top 3 study investigates study highlights research demonstrates performing models nearest neighbor important features decision tree 5 features
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Accuracy of all models with top 5 features.

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