Sensen Liu

This study compares KNN, logistic regression, and random forest for predicting cardiovascular disease using a Kaggle dataset, finding random forest to be the most accurate.

This study evaluates machine learning models for predicting aqueous solubility of compounds using the Huuskonen dataset, showing traditional algorithms can achieve high accuracy and interpretability.