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Autor:
O. I. ALABI, O. J. FATABO, S. C. OKENU, T. A. ONIMISI, G. O. OYERINDE, I. J. UDOH, A. I. OZOEZE, A. C. EGBA
Publikováno v:
Journal of Information Sciences, Vol 23, Iss 1 (2024)
Advancements of feature extraction enable the collection of prognostic data values which can be used to distinguish between benign and malignant tumours. While single learning models are capable of making predictions, combining weak learners to form
Externí odkaz:
https://doaj.org/article/433c8610d8a54fcba53dc736f162aac5
