Estimated approximate K-fold cross-validation accuracy for each model.

<p>Estimated approximate K-fold cross-validation accuracy for each model.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Pritam Chakraborty (9261302) (author)
مؤلفون آخرون:	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)
منشور في:	2025
الموضوعات:	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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