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    <title>topic Re: Is boosted tree in JMP the same as gradient boosted tree? in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Is-boosted-tree-in-JMP-the-same-as-gradient-boosted-tree/m-p/712759#M89606</link>
    <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/54049"&gt;@uejimurashu&lt;/a&gt;&amp;nbsp;,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp; Welcome to the JMP Community pages. In short, the answer is no, they are not the same. JMP has several different tree-based platforms that all have slightly different algorithms and implementations to how the modeling is optimized, as well as the hyperparameters for the model. These include partitioning, boosted trees, bootstrap forest (similar to random forest), and extreme gradient boosted trees (XGBoost). The last one is an additional add-in, that I believe you need at least JMP Pro v16.0 or higher to run -- it could be v15.0.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp; You can find out more in JMP Help about boosted trees &lt;A href="https://www.jmp.com/support/help/en/17.2/index.shtml#page/jmp/boosted-tree.shtml" target="_self"&gt;here&lt;/A&gt;, bootstrap forests &lt;A href="https://www.jmp.com/support/help/en/17.2/index.shtml#page/jmp/bootstrap-forest.shtml#" target="_self"&gt;here&lt;/A&gt;, and partitioning &lt;A href="https://www.jmp.com/support/help/en/17.2/index.shtml#page/jmp/partition-models.shtml#" target="_self"&gt;here&lt;/A&gt;. There's a good video on the different platforms &lt;A href="https://community.jmp.com/t5/Mastering-JMP/Understanding-and-Applying-Tree-based-Methods-for-Predictor/ta-p/317515" target="_self"&gt;here&lt;/A&gt;, and if you have Pro, then you can read up on XGBoost &lt;A href="https://community.jmp.com/t5/JMP-Add-Ins/XGBoost-Add-In-for-JMP-Pro/ta-p/319383" target="_self"&gt;here&lt;/A&gt;.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Hope this helps!,&lt;/P&gt;&lt;P&gt;DS&lt;/P&gt;</description>
    <pubDate>Thu, 28 Dec 2023 13:40:13 GMT</pubDate>
    <dc:creator>SDF1</dc:creator>
    <dc:date>2023-12-28T13:40:13Z</dc:date>
    <item>
      <title>Is boosted tree in JMP the same as gradient boosted tree?</title>
      <link>https://community.jmp.com/t5/Discussions/Is-boosted-tree-in-JMP-the-same-as-gradient-boosted-tree/m-p/712714#M89600</link>
      <description>&lt;P&gt;Is boosted tree in JMP the same as gradient boosted tree?&lt;BR /&gt;In many academic papers, the term gradient boosted tree is used, and I could not find the word boosted tree.&lt;/P&gt;</description>
      <pubDate>Thu, 28 Dec 2023 06:29:39 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Is-boosted-tree-in-JMP-the-same-as-gradient-boosted-tree/m-p/712714#M89600</guid>
      <dc:creator>uejimurashu</dc:creator>
      <dc:date>2023-12-28T06:29:39Z</dc:date>
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    <item>
      <title>Re: Is boosted tree in JMP the same as gradient boosted tree?</title>
      <link>https://community.jmp.com/t5/Discussions/Is-boosted-tree-in-JMP-the-same-as-gradient-boosted-tree/m-p/712759#M89606</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/54049"&gt;@uejimurashu&lt;/a&gt;&amp;nbsp;,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp; Welcome to the JMP Community pages. In short, the answer is no, they are not the same. JMP has several different tree-based platforms that all have slightly different algorithms and implementations to how the modeling is optimized, as well as the hyperparameters for the model. These include partitioning, boosted trees, bootstrap forest (similar to random forest), and extreme gradient boosted trees (XGBoost). The last one is an additional add-in, that I believe you need at least JMP Pro v16.0 or higher to run -- it could be v15.0.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp; You can find out more in JMP Help about boosted trees &lt;A href="https://www.jmp.com/support/help/en/17.2/index.shtml#page/jmp/boosted-tree.shtml" target="_self"&gt;here&lt;/A&gt;, bootstrap forests &lt;A href="https://www.jmp.com/support/help/en/17.2/index.shtml#page/jmp/bootstrap-forest.shtml#" target="_self"&gt;here&lt;/A&gt;, and partitioning &lt;A href="https://www.jmp.com/support/help/en/17.2/index.shtml#page/jmp/partition-models.shtml#" target="_self"&gt;here&lt;/A&gt;. There's a good video on the different platforms &lt;A href="https://community.jmp.com/t5/Mastering-JMP/Understanding-and-Applying-Tree-based-Methods-for-Predictor/ta-p/317515" target="_self"&gt;here&lt;/A&gt;, and if you have Pro, then you can read up on XGBoost &lt;A href="https://community.jmp.com/t5/JMP-Add-Ins/XGBoost-Add-In-for-JMP-Pro/ta-p/319383" target="_self"&gt;here&lt;/A&gt;.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Hope this helps!,&lt;/P&gt;&lt;P&gt;DS&lt;/P&gt;</description>
      <pubDate>Thu, 28 Dec 2023 13:40:13 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Is-boosted-tree-in-JMP-the-same-as-gradient-boosted-tree/m-p/712759#M89606</guid>
      <dc:creator>SDF1</dc:creator>
      <dc:date>2023-12-28T13:40:13Z</dc:date>
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