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Jumakhan et al. - Google Patents

Comparative Analysis of Kolmogorov-Arnold Networks and Traditional Machine Learning Models for Breast Cancer Prognosis

Jumakhan et al.

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Document ID
5986497630573109611
Author
Jumakhan H
Mirzaeinia A

External Links

Snippet

This study compares the performance of Kolmogorov-Arnold Networks (KAN) with traditional machine learning models in predicting breast cancer survival. Using the SEER Breast Cancer Dataset, we evaluate KAN against decision trees, random forests, logistic …
Continue reading at www.researchgate.net (PDF) (other versions)

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