The stopping rules for winsorized tree
Winsorized tree is a modified tree-based classifier that is able to investigate and to handle all outliers in all nodes along the process of constructing the tree.It overcomes the tedious process of constructing a classical tree where the splitting of branches and pruning go concurrently so that the...
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IP Publishing LLC
2017
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author | Chee, Keong Ch’ng Mahat, Nor Idayu |
author_facet | Chee, Keong Ch’ng Mahat, Nor Idayu |
author_sort | Chee, Keong Ch’ng |
collection | UUM |
description | Winsorized tree is a modified tree-based classifier that is able to investigate and to handle all outliers in all nodes along the process of constructing the tree.It overcomes the tedious process of constructing a classical tree where the splitting of branches and pruning go concurrently so that the constructed tree would not grow bushy. This mechanism is controlled by the proposed algorithm. In winsorized tree, data are screened for identifying outlier.If outlier is detected, the value is neutralized using winsorize approach. Both outlier identification and value neutralization are executed recursively in every node until predetermined stopping criterion is met.The aim of this paper is to search for significant stopping criterion to stop the tree from further splitting before overfitting.The result obtained from the conducted experiment on pima indian dataset proved that the node could produce the final successor nodes (leaves) when it has achieved the range of 70% in information gain. |
first_indexed | 2024-07-04T06:26:03Z |
format | Conference or Workshop Item |
id | uum-24303 |
institution | Universiti Utara Malaysia |
last_indexed | 2024-07-04T06:26:03Z |
publishDate | 2017 |
publisher | IP Publishing LLC |
record_format | eprints |
spelling | uum-243032018-06-25T01:51:50Z https://repo.uum.edu.my/id/eprint/24303/ The stopping rules for winsorized tree Chee, Keong Ch’ng Mahat, Nor Idayu QA75 Electronic computers. Computer science Winsorized tree is a modified tree-based classifier that is able to investigate and to handle all outliers in all nodes along the process of constructing the tree.It overcomes the tedious process of constructing a classical tree where the splitting of branches and pruning go concurrently so that the constructed tree would not grow bushy. This mechanism is controlled by the proposed algorithm. In winsorized tree, data are screened for identifying outlier.If outlier is detected, the value is neutralized using winsorize approach. Both outlier identification and value neutralization are executed recursively in every node until predetermined stopping criterion is met.The aim of this paper is to search for significant stopping criterion to stop the tree from further splitting before overfitting.The result obtained from the conducted experiment on pima indian dataset proved that the node could produce the final successor nodes (leaves) when it has achieved the range of 70% in information gain. IP Publishing LLC 2017 Conference or Workshop Item PeerReviewed Chee, Keong Ch’ng and Mahat, Nor Idayu (2017) The stopping rules for winsorized tree. In: UNSPECIFIED. http://doi.org/10.1063/1.5012233 doi:10.1063/1.5012233 doi:10.1063/1.5012233 |
spellingShingle | QA75 Electronic computers. Computer science Chee, Keong Ch’ng Mahat, Nor Idayu The stopping rules for winsorized tree |
title | The stopping rules for winsorized tree |
title_full | The stopping rules for winsorized tree |
title_fullStr | The stopping rules for winsorized tree |
title_full_unstemmed | The stopping rules for winsorized tree |
title_short | The stopping rules for winsorized tree |
title_sort | stopping rules for winsorized tree |
topic | QA75 Electronic computers. Computer science |
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