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    <title>topic Re: Precision and recall scores in cutoff node in SAS Data Science</title>
    <link>https://communities.sas.com/t5/SAS-Data-Science/Precision-and-recall-scores-in-cutoff-node/m-p/386062#M5699</link>
    <description>&lt;P&gt;If you go to the SAS Enterprise Miner help available by opening SAS Enterprise Miner and then clicking on Help --&amp;gt; Contents, you can navigate to the Cutoff Node by navigating in the panel on the left to&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Node Reference&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; Assess Nodes&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Cutoff Node&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;and then navigate in the panel on the right to &lt;STRONG&gt;Cutoff Node Train Properties&lt;/STRONG&gt;, you can scroll down until you see &lt;STRONG&gt;Event Precision Equal Recall&lt;/STRONG&gt; where it says the following:&amp;nbsp;&lt;/P&gt;
&lt;BLOCKQUOTE&gt;
&lt;UL&gt;
&lt;LI&gt;
&lt;UL&gt;
&lt;LI&gt;&lt;STRONG&gt;Event Precision Equal Recall&lt;/STRONG&gt; — With precision defined as % true predicted events / (true predicted + false predicted) and recall defined as the event classification rate, this method chooses the point at which precision and recall are equal.&lt;/LI&gt;
&lt;/UL&gt;
&lt;/LI&gt;
&lt;/UL&gt;
&lt;/BLOCKQUOTE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;There are two ways to find this in the output: &amp;nbsp;&lt;/P&gt;
&lt;P&gt;(1) In the &lt;STRONG&gt;Overall Rates&lt;/STRONG&gt; plot, a&amp;nbsp;line is drawn at the requested point and hovering over the line with the mouse will show the cutoff &amp;nbsp;(see attached document for plot)&lt;/P&gt;
&lt;P&gt;(2) In the &lt;STRONG&gt;Output&lt;/STRONG&gt; section, you can see the point at which the first two columns are closest is when the cutoff is at 0.36 (I added the bold -- see attached document for partial table). &amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
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&lt;P&gt;&lt;FONT face="andale mono,times"&gt;| &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; | Event&amp;nbsp; | &amp;nbsp;True &amp;nbsp; | False &amp;nbsp; &amp;nbsp;|Classif-|&lt;/FONT&gt;&lt;/P&gt;
&lt;P&gt;&lt;FONT face="andale mono,times"&gt;| &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; |Precisi-|Positive|Positive|ication |&lt;/FONT&gt;&lt;/P&gt;
&lt;P&gt;&lt;FONT face="andale mono,times"&gt;| &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; |on Rate| &amp;nbsp;Rate &amp;nbsp; &amp;nbsp;|&amp;nbsp; Rate &amp;nbsp; | &amp;nbsp; Rate&amp;nbsp; |&lt;/FONT&gt;&lt;/P&gt;
&lt;P&gt;&lt;FONT face="andale mono,times"&gt;|--------+--------+--------+---------+---------|&lt;/FONT&gt;&lt;BR /&gt;&lt;FONT face="andale mono,times"&gt; |Cutoff | &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;| &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;| &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; | &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; |&lt;/FONT&gt;&lt;BR /&gt;&lt;FONT face="andale mono,times"&gt; |--------| &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; | &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;| &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; | &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; |&lt;/FONT&gt;&lt;BR /&gt;&lt;FONT face="andale mono,times"&gt; |0.99&amp;nbsp;&amp;nbsp;&amp;nbsp; |&amp;nbsp; 200.00|&amp;nbsp;&amp;nbsp;&amp;nbsp; 8.30 |&amp;nbsp;&amp;nbsp;&amp;nbsp; 0.00 |&amp;nbsp; 161.78|&lt;/FONT&gt;&lt;/P&gt;
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&lt;P&gt;&lt;FONT face="andale mono,times"&gt;&amp;nbsp; .&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &amp;nbsp;&amp;nbsp;&amp;nbsp;.&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; .&amp;nbsp; &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;. &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;.&lt;/FONT&gt;&lt;/P&gt;
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&lt;P&gt;&lt;FONT face="andale mono,times"&gt;&lt;STRONG&gt;|0.36&amp;nbsp;&amp;nbsp;&amp;nbsp; |&amp;nbsp; 131.01 | 129.67| &amp;nbsp;17.01 | 172.36|&lt;/STRONG&gt;&lt;/FONT&gt;&lt;/P&gt;
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&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I hope this helps!&lt;/P&gt;
&lt;P&gt;Doug&lt;/P&gt;</description>
    <pubDate>Mon, 07 Aug 2017 15:53:04 GMT</pubDate>
    <dc:creator>DougWielenga</dc:creator>
    <dc:date>2017-08-07T15:53:04Z</dc:date>
    <item>
      <title>Precision and recall scores in cutoff node</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Precision-and-recall-scores-in-cutoff-node/m-p/364777#M5445</link>
      <description>&lt;P&gt;Hi,&amp;nbsp;&lt;/P&gt;&lt;P&gt;I am using Cutoff node and trying to see Recall score but cannot find it.&lt;/P&gt;&lt;P&gt;I have set the parameter of Cutoff method to Event Precision Equal Recall. In the results I get Overall precision rate and other various values but cannot figure out how would I get recall values and from that value how can I measure f-score/measure.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Regards&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 06 Jun 2017 22:15:24 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Precision-and-recall-scores-in-cutoff-node/m-p/364777#M5445</guid>
      <dc:creator>geniusgenie</dc:creator>
      <dc:date>2017-06-06T22:15:24Z</dc:date>
    </item>
    <item>
      <title>Re: Precision and recall scores in cutoff node</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Precision-and-recall-scores-in-cutoff-node/m-p/386062#M5699</link>
      <description>&lt;P&gt;If you go to the SAS Enterprise Miner help available by opening SAS Enterprise Miner and then clicking on Help --&amp;gt; Contents, you can navigate to the Cutoff Node by navigating in the panel on the left to&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Node Reference&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; Assess Nodes&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Cutoff Node&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;and then navigate in the panel on the right to &lt;STRONG&gt;Cutoff Node Train Properties&lt;/STRONG&gt;, you can scroll down until you see &lt;STRONG&gt;Event Precision Equal Recall&lt;/STRONG&gt; where it says the following:&amp;nbsp;&lt;/P&gt;
&lt;BLOCKQUOTE&gt;
&lt;UL&gt;
&lt;LI&gt;
&lt;UL&gt;
&lt;LI&gt;&lt;STRONG&gt;Event Precision Equal Recall&lt;/STRONG&gt; — With precision defined as % true predicted events / (true predicted + false predicted) and recall defined as the event classification rate, this method chooses the point at which precision and recall are equal.&lt;/LI&gt;
&lt;/UL&gt;
&lt;/LI&gt;
&lt;/UL&gt;
&lt;/BLOCKQUOTE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;There are two ways to find this in the output: &amp;nbsp;&lt;/P&gt;
&lt;P&gt;(1) In the &lt;STRONG&gt;Overall Rates&lt;/STRONG&gt; plot, a&amp;nbsp;line is drawn at the requested point and hovering over the line with the mouse will show the cutoff &amp;nbsp;(see attached document for plot)&lt;/P&gt;
&lt;P&gt;(2) In the &lt;STRONG&gt;Output&lt;/STRONG&gt; section, you can see the point at which the first two columns are closest is when the cutoff is at 0.36 (I added the bold -- see attached document for partial table). &amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;FONT face="andale mono,times"&gt;--------------------------------------------------&lt;/FONT&gt;&lt;/P&gt;
&lt;P&gt;&lt;FONT face="andale mono,times"&gt;| &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; | &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;| &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; | &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; |Overall |&lt;/FONT&gt;&lt;/P&gt;
&lt;P&gt;&lt;FONT face="andale mono,times"&gt;| &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; | Event&amp;nbsp; | &amp;nbsp;True &amp;nbsp; | False &amp;nbsp; &amp;nbsp;|Classif-|&lt;/FONT&gt;&lt;/P&gt;
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&lt;P&gt;&lt;FONT face="andale mono,times"&gt;|--------+--------+--------+---------+---------|&lt;/FONT&gt;&lt;BR /&gt;&lt;FONT face="andale mono,times"&gt; |Cutoff | &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;| &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;| &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; | &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; |&lt;/FONT&gt;&lt;BR /&gt;&lt;FONT face="andale mono,times"&gt; |--------| &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; | &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;| &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; | &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; |&lt;/FONT&gt;&lt;BR /&gt;&lt;FONT face="andale mono,times"&gt; |0.99&amp;nbsp;&amp;nbsp;&amp;nbsp; |&amp;nbsp; 200.00|&amp;nbsp;&amp;nbsp;&amp;nbsp; 8.30 |&amp;nbsp;&amp;nbsp;&amp;nbsp; 0.00 |&amp;nbsp; 161.78|&lt;/FONT&gt;&lt;/P&gt;
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&lt;P&gt;&lt;FONT face="andale mono,times"&gt;|0.98&amp;nbsp;&amp;nbsp;&amp;nbsp; |&amp;nbsp; 200.00|&amp;nbsp;&amp;nbsp; 13.26|&amp;nbsp;&amp;nbsp;&amp;nbsp; 0.00|&amp;nbsp; 162.77 |&lt;/FONT&gt;&lt;/P&gt;
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&lt;P&gt;&lt;FONT face="andale mono,times"&gt;&lt;STRONG&gt;|0.36&amp;nbsp;&amp;nbsp;&amp;nbsp; |&amp;nbsp; 131.01 | 129.67| &amp;nbsp;17.01 | 172.36|&lt;/STRONG&gt;&lt;/FONT&gt;&lt;/P&gt;
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&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I hope this helps!&lt;/P&gt;
&lt;P&gt;Doug&lt;/P&gt;</description>
      <pubDate>Mon, 07 Aug 2017 15:53:04 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Precision-and-recall-scores-in-cutoff-node/m-p/386062#M5699</guid>
      <dc:creator>DougWielenga</dc:creator>
      <dc:date>2017-08-07T15:53:04Z</dc:date>
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