NBA Player Dataset & Prediction Model Artifacts
Description
Description
This dataset contains end-of-season box-score aggregates for NBA players over the 2012–13 through 2023–24 seasons, split into training and test sets for both regular season and playoffs. Each CSV has one row per player per season with columns for points, rebounds, steals, turnovers, 3-pt attempts, FG attempts, plus identifiers.
Brief overview of Files
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end-of-season box-score aggregates (2012–13 – 2023–24) split into train/test;
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the Jupyter notebook (Analysis.ipynb); All the code can be executed in there
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the trained model binary (nba_model.pkl); Serialized Random Forest model artifact
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Evaluation plots (LAL vs. whole‐league) for regular & playoff predictions are given as png outputs and uploaded in here
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FAIR4ML metadata (fair4ml_metadata.jsonld);
see README.md and abbreviations.txt for file details.” - For further information you can go to the github site (Link below)
File Details
Notebook
Analysis.ipynb: Involves the graphica output of the trained and tested data.
Trained/ Test csv Data
| Name | Description | PID |
| regular_train.csv | For training purposes, the seasons 2012-2013 through 2021-2022 were selected as training purpose | 4421e56c-4cd3-4ec1-a566-a89d7ec0bced |
| regular_test.csv: | For testing purpose of the regular season, the 2022-2023 season was selected | f9d84d5e-db01-4475-b7d1-80cfe9fe0e61 |
| playoff_train.csv | For training purposes of the playoff season, the seasons 2012-2013 through 2022-2023 were selected | bcb3cf2b-27df-48cc-8b76-9e49254783d0 |
| playoff_test.csv | For testing purpose of the playoff season, 2023-2024 season was selected | de37d568-e97f-4cb9-bc05-2e600cc97102 |
Others
abbrevations.txt: Involves the fundemental abbrevations of the columns in csv data
Additional Notes
Raw csv files are taken from Kaggle (Source: https://www.kaggle.com/datasets/shivamkumar121215/nba-stats-dataset-for-last-10-years/data)
Some preprocessing has to be done before uploading into dbrepo
Plots have also been uploaded as an output for visual purposes.
A more detailed version can be found on github (Link: https://github.com/bubaltali/nba-prediction-analysis/)
Files
abbrevations.txt
Files
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Additional details
Related works
- Has part
- https://test.dbrepo.tuwien.ac.at/database/2e167490-c803-4a9a-a317-6e274c6b3a37/info (URL)
- Is referenced by
- https://github.com/bubaltali/nba-prediction-analysis/ (URL)
- References
- https://www.kaggle.com/datasets/shivamkumar121215/nba-stats-dataset-for-last-10-years/data (URL)