Metabolic-associated steatotic liver disease (MASLD) is a clinically heterogeneous condition with highly variable outcomes ...

Abstract: The traditional K-Nearest Neighbor (KNN) algorithm often encounters problems such as weak feature expression ability and poor adaptability to fixed K-values in image classification tasks, ...

ABSTRACT: This paper evaluates the performance of multiple machine learning models in predicting NBA game outcomes. Both regression and classification approaches were explored, with models including ...

Abstract: KNN (K Nearest-neighbor Classification) is a lazy learning classification algorithm, where it only memorizes the training dataset instead of providing a defined discriminative function. KNN ...