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
Supervised Learning
Learning from labeled training data with input-output pairs
CatBoost
Gradient boosting library with native categorical feature support
Dropout
Regularization randomly deactivating neurons during training
Backpropagation
Algorithm computing gradients for neural network weight updates
Time Series Analysis
Analyzing time-ordered data for patterns and forecasting
AdaBoost
Combining weak classifiers with adaptive sample weighting