https://github.com/hk669/hyperparameter-optimization

The AdaBoost algorithm is an ensemble learning method that combines multiple weak learners (base estimators) to create a stronger predictive model.
https://github.com/hk669/hyperparameter-optimization

adaboostclassifier decision-trees decisiontreeclassifier entropy gini-index hyperparameter-optimization hyperparameter-tuning

Last synced: 30 days ago
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The AdaBoost algorithm is an ensemble learning method that combines multiple weak learners (base estimators) to create a stronger predictive model.

• Host: GitHub
• URL: https://github.com/hk669/hyperparameter-optimization
• Owner: Hk669
• Created: 2023-07-01T11:46:06.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-07-01T11:53:15.000Z (over 1 year ago)
• Last Synced: 2024-10-14T07:33:59.367Z (2 months ago)
• Topics: adaboostclassifier, decision-trees, decisiontreeclassifier, entropy, gini-index, hyperparameter-optimization, hyperparameter-tuning
• Language: Jupyter Notebook
• Homepage:
• Size: 115 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0

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