Machine Learning
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Decision Tree
Quick Definition
Tree-like model splitting data based on feature values
Full Definition
A supervised learning algorithm splitting data into branches based on feature values forming a tree.
Examples
classification, regression, rule extraction
Related Terms
random-forest
gradient-boosting
ensemble-learning
More Machine Learning Terms
Loss Function
Math function measuring prediction vs actual value difference
Feature Selection
Identifying the most relevant features for model training
Cross-Validation
Evaluating model performance with multiple data splits
Hidden Markov Model
Statistical model with hidden states and observable outputs
Semi-Supervised Learning
Combining small labeled datasets with large unlabeled data
Linear Regression
Modeling variable relationships by fitting a linear equation