Słownik AI
Kompletny słownik sztucznej inteligencji
Model Variance
Measure of a model's sensitivity to fluctuations in training data, which Extra Trees aims to reduce through increased randomization.
Model Bias
Systematic error introduced by an algorithm's simplifying assumptions, slightly increased in Extra Trees compared to Random Forest.
Unpruned Decision Tree
Basic structure in Extra Trees where trees are grown to their maximum depth without pruning to maximize diversity.
Majority Voting
Aggregation method for predictions in Extra Trees where each tree votes for the final class in classification.
Hyperparameter n_estimators
Parameter controlling the number of trees in the Extra Trees forest, directly influencing variance reduction capability.
Hyperparameter max_features
Parameter determining the number of features considered at each split, crucial for balancing bias and variance in Extra Trees.
Hyperparameter min_samples_split
Minimum number of samples required to split a node, controlling the depth and complexity of Extra Trees.
Scikit-learn ExtraTreesClassifier
Python implementation of the Extra Trees algorithm for classification tasks in the scikit-learn library.
Scikit-learn ExtraTreesRegressor
Python implementation of the Extra Trees algorithm for regression tasks in the scikit-learn library.