Skip to content
No description, website, or topics provided.
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
Data
Ensemble_XGBoost_Postseason.py
README.md

README.md

Ensemble_XGBoost_Postseason

Creates an ensemble of XGBoostClassifier models by looping through a number of, user-defined, iterations using a RandomizedSearchCV to tune and cross-validate each iteration with the outcome being predicted probability of a binary outcome.

Mean probability and standard deviation of the test data across all models are calculated and model evaluation metrics are generated and programmatically saved in a folder named with the current date (year_month_day format).

Simultaneously, mean predictions over all iterations are generated on the current, unseen data and the output is saved in the same programmatically named folder.

Dependencies include:

You can’t perform that action at this time.
You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session.