The utilisation of ML (Machine Learning) techniques in the detection of the VP (Voice
Pathology) has recently gained a lot of consideration. However, these efforts still have …

Free speech is essential, but it can conflict with protecting marginalized groups from harm
caused by hate speech. Social media platforms have become breeding grounds for this …

Traditional credit assessment methods, such as logistic regression and standard decision
trees, have been widely employed for evaluating credit risk. However, these conventional …

This study compares the performance of three machine learning models namely Logistic
Regression, Naive Bayes, and K-Nearest Neighbors (KNN) in forecasting customer churn …

The research aims to investigate an approach that can explore several appropriate
predictive models in machine learning under Small Data Set Learning (SDSL). The method …

This paper provides individuals with a reliable tool for predicting their credit scores based on
various financial attributes. Leveraging ML models, specifically a Random Forest classifier …