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Throw 27 regressors and 7 classifiers at PF2e creature statblocks.

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PF2e-Statistics

Throw 27 regressors and 7 classifiers at PF2e creature statblocks.

Just to see if there are any correlations...

A final VotingRegressor and VotingClassifier are trained with the top 3 regressors and classifiers.

This was my senior project.

Note: The test set (unseen data) was 10% of the data set. This may be adjusted in the function split_data().

Requirements

Python 3, numpy, pandas, scikit (sklearn)

Credit

Code, LaTeX, and project PDFs licensed under CC-BY-4.0.

Scraped statblock data, and PF2e trademarks copyright to Paizo, licensed under the Paizo Inc. Community Use Policy.

Dataset: https://pathfinderdashboard.com/