DecisionTreeC45 is a library for creating decision trees using the C4.5 algorithm.
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Updated
Jul 12, 2023 - Python
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c45-decision-tree
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Data Mining project to implement Quinlan's C4.5 decision tree algorithm from scratch for medical data mining using the Thyroid allbp dataset
python
data
data-mining
mining
uci
c45
data-mining-algorithms
decision-tree-classifier
quinlan
c45-decision-tree
decision-trees-algorithm
thyroid-dataset
uci-thyroid
quinlan-c45
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May 12, 2022 - Python
KLASIFIKASI DATA PENYAKIT DIABETES MENGGUNAKAN ALGORITMA DECISION TREE DAN PARTICLE SWARM OPTIMIZATION
diabetes
c45
decision-tree
decision-tree-classifier
pso
pso-algorithm
c45-decision-tree
diabetes-classification
c45-algorithm
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Aug 18, 2024 - Python
Simple implementation of the ID3 + C4.5 algorithm for decision tree learning
id3
c45
decision-trees
decision-tree
decision-tree-classifier
c45-trees
id3-algorithm
decision-tree-id3
c45-decision-tree
c45-algorithm
decision-tree-c45
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Nov 22, 2023 - Python
Using the decision tree technique based on entropy calculation, this application calculates the hit rate of the HASTIE file with a hit rate higher than 99%
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Dec 23, 2021 - Python
A 3-level decision tree achieves a 76.48% success rate in the SUSY file test (https://archive.ics.uci.edu/ml/datasets/SUSY)
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Dec 22, 2021 - Python
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