Tabular Classification
Scikit-learn
lightgbm
notification-timing
interruptibility
Eval Results (legacy)
Instructions to use alianassmaaa/notification-bad-timing-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use alianassmaaa/notification-bad-timing-detector with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("alianassmaaa/notification-bad-timing-detector", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
| feature,importance | |
| notif_ctr_last_7d,270 | |
| time_since_last_interaction,267 | |
| battery_level,262 | |
| notif_shown_last_30min,225 | |
| battery_change_rate,206 | |
| screen_on_duration_30min,202 | |
| notif_clicked_last_30min,186 | |
| recent_notification_density,183 | |
| session_length_current,160 | |
| notif_dismissed_last_30min,140 | |
| app_opens_last_hour,139 | |
| notif_ignored_last_30min,135 | |
| hour_of_day,134 | |
| is_night,107 | |
| notif_shown_last_24h,105 | |
| day_of_week,97 | |
| screen_on,56 | |
| hour_sin,49 | |
| hour_cos,32 | |
| is_weekend,15 | |
| is_charging,11 | |