https://github.com/huacenxu/predicting-patients-no-shows

After cleaning and exploring the data, I train classification models including DecisionTree, RandomForest, SVM, and AdaBoost. Finally, I blend models to optimize predictions and identify the best model based on AUC and accuracy for predicting patient no-shows.

bootcamp-project classification-model machine-learning no-show-appointments-data-set predictive-modeling

Last synced: 12 Mar 2025