Greedy Algorithms for Decision Trees with Hypotheses.
Mohammad AzadIgor ChikalovShahid HussainMikhail MoshkovBeata ZieloskoPublished in: CoRR (2022)
Keyphrases
- greedy algorithms
- decision trees
- greedy algorithm
- decision tree induction
- data mining methods
- predictive accuracy
- knapsack problem
- search algorithm
- logistic regression
- rule induction
- machine learning algorithms
- naive bayes
- decision rules
- constructive induction
- decision tree algorithm
- training data
- random forest
- decision tree learning
- decision tree classifiers
- hypothesis space
- machine learning
- classification rules
- worst case
- objective function
- information systems
- random forests
- base classifiers
- rule sets
- feature construction
- approximation ratio
- neural network
- concept drifting data streams
- multivariate decision trees