Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...
Abstract: Aim: This experiment compares Random Forest and Naïve Bayes algorithms, highlighting Random Forest’s higher accuracy in categorizing sensory qualities and optimizing juice quality assessment ...
Abstract: High student dropout rates pose a significant challenge to the effectiveness of online education platforms. This study utilizes the Naive Bayes algorithm to predict student dropouts by ...
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