A Bi-criteria optimization model for adjusting the decision tree parameters
Decision trees play a very important role in knowledge representation because of its simplicity and self-explanatory nature. We study the optimization of the parameters of the decision trees to find a shorter as well as more accurate decision tree. Hence, we design two algorithms to build a decisio...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-03-01
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| Series: | Kuwait Journal of Science |
| Online Access: | https://journalskuwait.org/kjs/index.php/KJS/article/view/10725 |
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| _version_ | 1850231200235388928 |
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| author | Mohammad Azad Mikhail Moshkov |
| author_facet | Mohammad Azad Mikhail Moshkov |
| author_sort | Mohammad Azad |
| collection | DOAJ |
| description |
Decision trees play a very important role in knowledge representation because of its simplicity and self-explanatory nature. We study the optimization of the parameters of the decision trees to find a shorter as well as more accurate decision tree. Hence, we design two algorithms to build a decision tree with a given threshold of the number of vertices based on the bi-criteria optimization technique. Then, we calculate the local and global misclassification rates for these trees. Our goal is to study the effect of changing the threshold for the bi-criteria optimization of the decision trees. In the end, we recommend a range of thresholds that can give us more accurate decision trees with a reasonable number of vertices.
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| format | Article |
| id | doaj-art-673207ed29f84c52b7a80d73e2a745d9 |
| institution | OA Journals |
| issn | 2307-4108 2307-4116 |
| language | English |
| publishDate | 2022-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Kuwait Journal of Science |
| spelling | doaj-art-673207ed29f84c52b7a80d73e2a745d92025-08-20T02:03:36ZengElsevierKuwait Journal of Science2307-41082307-41162022-03-0149210.48129/kjs.10725A Bi-criteria optimization model for adjusting the decision tree parametersMohammad Azad0Mikhail Moshkov1Jouf University Department of Computer Science, College of Computer and Information Sciences Sakaka 72441, Saudi ArabiaKing Abdullah University of Science and Technology Computer, Electrical and Mathematical Sciences & Engineering Division Thuwal, Saudi Arabia Decision trees play a very important role in knowledge representation because of its simplicity and self-explanatory nature. We study the optimization of the parameters of the decision trees to find a shorter as well as more accurate decision tree. Hence, we design two algorithms to build a decision tree with a given threshold of the number of vertices based on the bi-criteria optimization technique. Then, we calculate the local and global misclassification rates for these trees. Our goal is to study the effect of changing the threshold for the bi-criteria optimization of the decision trees. In the end, we recommend a range of thresholds that can give us more accurate decision trees with a reasonable number of vertices. https://journalskuwait.org/kjs/index.php/KJS/article/view/10725 |
| spellingShingle | Mohammad Azad Mikhail Moshkov A Bi-criteria optimization model for adjusting the decision tree parameters Kuwait Journal of Science |
| title | A Bi-criteria optimization model for adjusting the decision tree parameters |
| title_full | A Bi-criteria optimization model for adjusting the decision tree parameters |
| title_fullStr | A Bi-criteria optimization model for adjusting the decision tree parameters |
| title_full_unstemmed | A Bi-criteria optimization model for adjusting the decision tree parameters |
| title_short | A Bi-criteria optimization model for adjusting the decision tree parameters |
| title_sort | bi criteria optimization model for adjusting the decision tree parameters |
| url | https://journalskuwait.org/kjs/index.php/KJS/article/view/10725 |
| work_keys_str_mv | AT mohammadazad abicriteriaoptimizationmodelforadjustingthedecisiontreeparameters AT mikhailmoshkov abicriteriaoptimizationmodelforadjustingthedecisiontreeparameters AT mohammadazad bicriteriaoptimizationmodelforadjustingthedecisiontreeparameters AT mikhailmoshkov bicriteriaoptimizationmodelforadjustingthedecisiontreeparameters |