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    <title>topic Re: WHY Support Vector Regression (SVR) considers EXCLUDED ROWS during analysis? in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/WHY-Support-Vector-Regression-SVR-considers-EXCLUDED-ROWS-during/m-p/524630#M74923</link>
    <description>&lt;P&gt;Thanks for your detailed response, I've also upgraded to 16.2, reanalysed the problem and now the issue is not duplicating (excluded rows are also not appearing in predicted/residual plots). I am also able to replicate the analysis on scikit-Learn by using gamma='auto' or (1/features). Thanks again for your detailed answer, obliged!&lt;/P&gt;</description>
    <pubDate>Thu, 21 Jul 2022 14:35:12 GMT</pubDate>
    <dc:creator>iXmkXm</dc:creator>
    <dc:date>2022-07-21T14:35:12Z</dc:date>
    <item>
      <title>WHY Support Vector Regression (SVR) considers EXCLUDED ROWS during analysis?</title>
      <link>https://community.jmp.com/t5/Discussions/WHY-Support-Vector-Regression-SVR-considers-EXCLUDED-ROWS-during/m-p/522105#M74708</link>
      <description>&lt;P&gt;I am trying to predict continuous response on the basis of continuous inputs. However, during analysis, I've observed that SVR is considering excluded rows, which I want to use for model validation. Furthermore, the regression results couldn't be duplicated in Scikit-Learn library.&lt;/P&gt;&lt;P&gt;Please help on this issue!&lt;/P&gt;</description>
      <pubDate>Sat, 10 Jun 2023 23:51:12 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/WHY-Support-Vector-Regression-SVR-considers-EXCLUDED-ROWS-during/m-p/522105#M74708</guid>
      <dc:creator>iXmkXm</dc:creator>
      <dc:date>2023-06-10T23:51:12Z</dc:date>
    </item>
    <item>
      <title>Re: WHY Support Vector Regression (SVR) considers EXCLUDED ROWS during analysis?</title>
      <link>https://community.jmp.com/t5/Discussions/WHY-Support-Vector-Regression-SVR-considers-EXCLUDED-ROWS-during/m-p/522869#M74761</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;
&lt;P&gt;I just ran a default SVM model on the same data set, Tablet Production.jmp&lt;/P&gt;
&lt;P&gt;I'm using JMP16.2 on a Mac&lt;/P&gt;
&lt;P&gt;I randomly selected 50% of the rows and set their state to Hidden/Excluded&lt;/P&gt;
&lt;P&gt;I ran the SVM platform from the Analyze menu with and without the hidden/excluded state.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;It looks like the platform is obeying the row state.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Byron_JMP_0-1658162052494.png" style="width: 400px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/44088i22A3550A21AE5382/image-size/medium?v=v2&amp;amp;px=400" role="button" title="Byron_JMP_0-1658162052494.png" alt="Byron_JMP_0-1658162052494.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Why isn't SciKit Matching JMP? It likely has to do with how The model was parameterized.&lt;/P&gt;
&lt;P&gt;For example, the default Fit might not match the default in SciKit.&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-jsl"&gt;Support Vector Machines(
	Y( :Dissolution ),
	X(
		:API Particle Size, :Mill Time, :Screen Size, :Mag. Stearate Supplier,
		:Lactose Supplier, :Sugar Supplier, :Talc Supplier, :Blend Time,
		:Blend Speed, :Compressor, :Force, :Coating Supplier, :Coating Viscosity,
		:Inlet Temp, :Exhaust Temp, :Spray Rate, :Atomizer Pressure
	),
	Fit(
		Kernel Function( "Radial Basis Function" ),
		Gamma( 0.0588235294117647 ),
		Cost( 1 ),
		Validation Method( "None" )
	)
);&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Mon, 18 Jul 2022 16:36:25 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/WHY-Support-Vector-Regression-SVR-considers-EXCLUDED-ROWS-during/m-p/522869#M74761</guid>
      <dc:creator>Byron_JMP</dc:creator>
      <dc:date>2022-07-18T16:36:25Z</dc:date>
    </item>
    <item>
      <title>Re: WHY Support Vector Regression (SVR) considers EXCLUDED ROWS during analysis?</title>
      <link>https://community.jmp.com/t5/Discussions/WHY-Support-Vector-Regression-SVR-considers-EXCLUDED-ROWS-during/m-p/524630#M74923</link>
      <description>&lt;P&gt;Thanks for your detailed response, I've also upgraded to 16.2, reanalysed the problem and now the issue is not duplicating (excluded rows are also not appearing in predicted/residual plots). I am also able to replicate the analysis on scikit-Learn by using gamma='auto' or (1/features). Thanks again for your detailed answer, obliged!&lt;/P&gt;</description>
      <pubDate>Thu, 21 Jul 2022 14:35:12 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/WHY-Support-Vector-Regression-SVR-considers-EXCLUDED-ROWS-during/m-p/524630#M74923</guid>
      <dc:creator>iXmkXm</dc:creator>
      <dc:date>2022-07-21T14:35:12Z</dc:date>
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