seirah-yang/seirah

AI Summary: The task involves building a RandomForestClassifier model to predict cancer based on microbiome and metabolite data. The provided code performs data loading, splitting, model training, and evaluation using a classification report. The goal is likely to improve the model's performance (currently showing low accuracy and imbalanced class performance) by exploring different hyperparameters, feature engineering, or alternative models.