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

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