Greedy Algorithms for Decision Trees with Hypotheses.

Mohammad Azad Igor Chikalov Shahid Hussain Mikhail Moshkov Beata Zielosko

Published 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