Abstract: Stunting in toddlers is one of the most pressing nutritional issues in Indonesia. This condition, caused by chronic malnutrition, is a key indicator of maternal and infant health, ...
Objective: This study aimed to determine optimal sample sizes and the relationships between sample size and dataset-level characteristics over a variety of binary classification algorithms. Methods: A ...
Abstract: This research aims to compare the performance of Logistic Regression and Random Forest algorithms in classifying cyber-attack types. Using a data set consisting of 494,021 data points with ...
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