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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Created at: almost 2 years ago
Updated at: almost 2 years ago
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Topics: adaboostclassifier, decision-trees, decisiontreeclassifier, entropy, gini-index, hyperparameter-optimization, hyperparameter-tuning