https://github.com/sadiq18/predictpodcastlisteningtime
Kaggle contest to predict listening time of a podcast episode.
https://github.com/sadiq18/predictpodcastlisteningtime
bagging-ensemble boosting-algorithms feature-engineering kaggle machine-learning regression-models xgboost
Last synced: about 2 months ago
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Kaggle contest to predict listening time of a podcast episode.
- Host: GitHub
- URL: https://github.com/sadiq18/predictpodcastlisteningtime
- Owner: sadiq18
- Created: 2025-04-19T08:40:57.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-04-19T09:49:02.000Z (about 1 year ago)
- Last Synced: 2025-08-25T08:13:26.305Z (10 months ago)
- Topics: bagging-ensemble, boosting-algorithms, feature-engineering, kaggle, machine-learning, regression-models, xgboost
- Language: Jupyter Notebook
- Homepage: https://www.kaggle.com/competitions/playground-series-s5e4/overview
- Size: 23.1 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# PredictPodcastListeningTime
Ref - https://www.kaggle.com/competitions/playground-series-s5e4/overview
## Overview
Welcome to the 2025 Kaggle Playground Series! We plan to continue in the spirit of previous playgrounds, providing interesting and approachable datasets for our community to practice their machine learning skills, and anticipate a competition each month.
**Your Goal**: Your task it to predict listening time of a podcast episode.
## Evaluation
**Root Mean Squared Error (RMSE)**
Submissions are scored on the root mean squared error. RMSE is defined as:
RMSE=(1𝑁∑𝑖=1𝑁(𝑦𝑖−𝑦ˆ𝑖)2)12
where 𝑦ˆ𝑖
is the predicted value and 𝑦𝑖
is the original value for each instance 𝑖
## Timeline
**Start Date** - April 1, 2025
**Entry Deadline** - Same as the Final Submission Deadline
**Team Merger Deadline** - Same as the Final Submission Deadline
**Final Submission Deadline** - April 30, 2025
All deadlines are at 11:59 PM UTC on the corresponding day unless otherwise noted. The competition organizers reserve the right to update the contest timeline if they deem it necessary.