Tag: decision-tree
5 articles
sklearn Decision Tree Pruning Parameters: max_depth/min_s...
Common parameters for decision tree pruning (pre-pruning) in engineering: max_depth, min_samples_leaf, min_samples_split, max_features, min_impurity_decrease...
Decision Tree from Split to Pruning: Information Gain/Gai...
Complete chain from 'split' to 'pruning', explain why usually uses greedy algorithm to form 'local optimum', and differences in splitting criteria between...
sklearn Decision Tree Practice: criterion, Graphviz Visua...
Complete flow of DecisionTreeClassifier on load_wine dataset from data splitting, model evaluation to decision tree visualization (2026 version). Focus on...
Decision Tree Model Detailed: Node Structure, Conditional...
Decision Tree model systematic overview for classification tasks: three types of nodes (root/internal/leaf), recursive split flow from root to leaf, and...
Decision Tree Information Gain Detailed: Information Entr...
Decision tree information gain (Information Gain) explained, first using information entropy (Entropy) to explain impurity, then explaining why when splitting...