Machine Learning Classifiers Based Classification For IRIS Recognition
Classification is the most widely applied machine learning problem today, with implementations in face recognition, flower classification, clustering, and other fields. The goal of this paper is to organize and identify a set of data objects. The study employs K-nearest neighbors, decision tree (j48...
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| Format: | Article |
| Language: | English |
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Qubahan
2021-05-01
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| Series: | Qubahan Academic Journal |
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| Online Access: | https://journal.qubahan.com/index.php/qaj/article/view/48 |
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| _version_ | 1832544473743097856 |
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| author | Bahzad Taha Chicho Adnan Mohsin Abdulazeez Diyar Qader Zeebaree Dilovan Assad Zebari |
| author_facet | Bahzad Taha Chicho Adnan Mohsin Abdulazeez Diyar Qader Zeebaree Dilovan Assad Zebari |
| author_sort | Bahzad Taha Chicho |
| collection | DOAJ |
| description | Classification is the most widely applied machine learning problem today, with implementations in face recognition, flower classification, clustering, and other fields. The goal of this paper is to organize and identify a set of data objects. The study employs K-nearest neighbors, decision tree (j48), and random forest algorithms, and then compares their performance using the IRIS dataset. The results of the comparison analysis showed that the K-nearest neighbors outperformed the other classifiers. Also, the random forest classifier worked better than the decision tree (j48). Finally, the best result obtained by this study is 100% and there is no error rate for the classifier that was obtained.
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| format | Article |
| id | doaj-art-423a2477b7474b5bb1dd6d96fe1a046f |
| institution | Kabale University |
| issn | 2709-8206 |
| language | English |
| publishDate | 2021-05-01 |
| publisher | Qubahan |
| record_format | Article |
| series | Qubahan Academic Journal |
| spelling | doaj-art-423a2477b7474b5bb1dd6d96fe1a046f2025-02-03T10:12:51ZengQubahanQubahan Academic Journal2709-82062021-05-011210.48161/qaj.v1n2a4848Machine Learning Classifiers Based Classification For IRIS RecognitionBahzad Taha Chicho0Adnan Mohsin Abdulazeez1Diyar Qader Zeebaree2Dilovan Assad Zebari3Duhok Polytechnic University Duhok, IraqPresident of Duhok Polytechnic University Duhok, IraqResearch Center Duhok Polytechnic University, Duhok, IraqResearch Center Duhok Polytechnic University, Duhok, IraqClassification is the most widely applied machine learning problem today, with implementations in face recognition, flower classification, clustering, and other fields. The goal of this paper is to organize and identify a set of data objects. The study employs K-nearest neighbors, decision tree (j48), and random forest algorithms, and then compares their performance using the IRIS dataset. The results of the comparison analysis showed that the K-nearest neighbors outperformed the other classifiers. Also, the random forest classifier worked better than the decision tree (j48). Finally, the best result obtained by this study is 100% and there is no error rate for the classifier that was obtained. https://journal.qubahan.com/index.php/qaj/article/view/48Data MiningClassificationDecision TreeRandom ForestK-nearest neighbors |
| spellingShingle | Bahzad Taha Chicho Adnan Mohsin Abdulazeez Diyar Qader Zeebaree Dilovan Assad Zebari Machine Learning Classifiers Based Classification For IRIS Recognition Qubahan Academic Journal Data Mining Classification Decision Tree Random Forest K-nearest neighbors |
| title | Machine Learning Classifiers Based Classification For IRIS Recognition |
| title_full | Machine Learning Classifiers Based Classification For IRIS Recognition |
| title_fullStr | Machine Learning Classifiers Based Classification For IRIS Recognition |
| title_full_unstemmed | Machine Learning Classifiers Based Classification For IRIS Recognition |
| title_short | Machine Learning Classifiers Based Classification For IRIS Recognition |
| title_sort | machine learning classifiers based classification for iris recognition |
| topic | Data Mining Classification Decision Tree Random Forest K-nearest neighbors |
| url | https://journal.qubahan.com/index.php/qaj/article/view/48 |
| work_keys_str_mv | AT bahzadtahachicho machinelearningclassifiersbasedclassificationforirisrecognition AT adnanmohsinabdulazeez machinelearningclassifiersbasedclassificationforirisrecognition AT diyarqaderzeebaree machinelearningclassifiersbasedclassificationforirisrecognition AT dilovanassadzebari machinelearningclassifiersbasedclassificationforirisrecognition |