ML Toolkit for Diabetes Diagnoses: Binary Hierarchical Classification with 14 models: Random Forest, Logistic Regression, SVM, KNN, SGD, Naive Bayes, Decision Trees, Gradient Boosted Trees, Neural Network, XGBoost, LightGBM, CatBoost, Isolation Forest, Transformers. Metrics: Accuracy, Precision, Recall, F1-Score, AUC-ROC.