Context-Aware Interruptibility Model (XGBoost)
Predicts whether a user is interruptible based on contextual features
(time, location, device state, user mode, activity, etc.).
Algorithm: XGBoost
Dataset: 20 000 synthetic samples
Performance: ~90 % cross-validated F1 score
