GitHub / Hk669 / Hyperparameter-Optimization

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

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PURL: pkg:github/Hk669/Hyperparameter-Optimization

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Language: Jupyter Notebook
Size: 115 KB
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Created at: about 2 years ago
Updated at: about 2 years ago
Pushed at: about 2 years ago
Last synced at: 6 months ago

Topics: adaboostclassifier, decision-trees, decisiontreeclassifier, entropy, gini-index, hyperparameter-optimization, hyperparameter-tuning