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
File size: 478 Bytes
c92947f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | 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
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