Abstract: Class imbalance is a persistent challenge in machine learning, particularly in high-stakes applications such as medical diagnostics, bioinformatics, and fraud detection, where the minority ...
Abstract: This research aims to evaluate and compare the performance of various classification algorithms under conditions of small dataset quantity. Six algorithms were tested, namely NaÏve Bayes, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results