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	<title>Comments on: Rapidminer 5.0 Video Tutorial #2 &#8211; Building a Gold Trend Classification Model Part 1</title>
	<atom:link href="http://www.neuralmarkettrends.com/2010/02/23/rapidminer-5-0-video-tutorial-2/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.neuralmarkettrends.com/2010/02/23/rapidminer-5-0-video-tutorial-2/</link>
	<description>Rapidminer Evangelism &#38; Consulting</description>
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		<title>By: Anonymous</title>
		<link>http://www.neuralmarkettrends.com/2010/02/23/rapidminer-5-0-video-tutorial-2/comment-page-1/#comment-3959</link>
		<dc:creator>Anonymous</dc:creator>
		<pubDate>Mon, 14 Mar 2011 13:10:00 +0000</pubDate>
		<guid isPermaLink="false">http://www.neuralmarkettrends.com/?p=2134#comment-3959</guid>
		<description>Well you can try replacing the model operator to something like Support Vector Machine or you could add more input variables to help the model learn the classification better.</description>
		<content:encoded><![CDATA[<p>Well you can try replacing the model operator to something like Support Vector Machine or you could add more input variables to help the model learn the classification better.</p>
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	<item>
		<title>By: sunny</title>
		<link>http://www.neuralmarkettrends.com/2010/02/23/rapidminer-5-0-video-tutorial-2/comment-page-1/#comment-3955</link>
		<dc:creator>sunny</dc:creator>
		<pubDate>Fri, 11 Mar 2011 01:35:00 +0000</pubDate>
		<guid isPermaLink="false">http://www.neuralmarkettrends.com/?p=2134#comment-3955</guid>
		<description>Hi Neuralmarkettrends,
      So what should I change the model so that some results will be &quot;Up&quot;? I am a beginner of this. Thank you very much for your help.

Sunny</description>
		<content:encoded><![CDATA[<p>Hi Neuralmarkettrends,<br />
      So what should I change the model so that some results will be &#8220;Up&#8221;? I am a beginner of this. Thank you very much for your help.</p>
<p>Sunny</p>
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	</item>
	<item>
		<title>By: sunny</title>
		<link>http://www.neuralmarkettrends.com/2010/02/23/rapidminer-5-0-video-tutorial-2/comment-page-1/#comment-3954</link>
		<dc:creator>sunny</dc:creator>
		<pubDate>Fri, 11 Mar 2011 01:18:00 +0000</pubDate>
		<guid isPermaLink="false">http://www.neuralmarkettrends.com/?p=2134#comment-3954</guid>
		<description>Hi Neuralmarkettrends,
     So would you mind providing another example that can show a good model to use for prediction. 


Sunny</description>
		<content:encoded><![CDATA[<p>Hi Neuralmarkettrends,<br />
     So would you mind providing another example that can show a good model to use for prediction. </p>
<p>Sunny</p>
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	</item>
	<item>
		<title>By: Anonymous</title>
		<link>http://www.neuralmarkettrends.com/2010/02/23/rapidminer-5-0-video-tutorial-2/comment-page-1/#comment-3953</link>
		<dc:creator>Anonymous</dc:creator>
		<pubDate>Thu, 10 Mar 2011 19:26:00 +0000</pubDate>
		<guid isPermaLink="false">http://www.neuralmarkettrends.com/?p=2134#comment-3953</guid>
		<description>Sunny, the example I show in the tutorial isn&#039;t a very good model to use for prediction. It&#039;s accuracy is like 50/50 which is a coin toss. There is no magic formula to wealth here. ;)</description>
		<content:encoded><![CDATA[<p>Sunny, the example I show in the tutorial isn&#8217;t a very good model to use for prediction. It&#8217;s accuracy is like 50/50 which is a coin toss. There is no magic formula to wealth here. ;)</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Sunny</title>
		<link>http://www.neuralmarkettrends.com/2010/02/23/rapidminer-5-0-video-tutorial-2/comment-page-1/#comment-3952</link>
		<dc:creator>Sunny</dc:creator>
		<pubDate>Thu, 10 Mar 2011 09:29:00 +0000</pubDate>
		<guid isPermaLink="false">http://www.neuralmarkettrends.com/?p=2134#comment-3952</guid>
		<description>I would like to ask this Tutorial Part 1 and 2, using validation model and using just a simple model to prediction. When I ask, add some training data (&quot;UP&quot;)  into testing data, the result still all &quot;Down&quot;. And I copy all the training data into testing data, the result are still predict to &quot;Down&quot;. Actually, I follow the steps of tutorials. Can anyone explain why?</description>
		<content:encoded><![CDATA[<p>I would like to ask this Tutorial Part 1 and 2, using validation model and using just a simple model to prediction. When I ask, add some training data (&#8220;UP&#8221;)  into testing data, the result still all &#8220;Down&#8221;. And I copy all the training data into testing data, the result are still predict to &#8220;Down&#8221;. Actually, I follow the steps of tutorials. Can anyone explain why?</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Anonymous</title>
		<link>http://www.neuralmarkettrends.com/2010/02/23/rapidminer-5-0-video-tutorial-2/comment-page-1/#comment-3920</link>
		<dc:creator>Anonymous</dc:creator>
		<pubDate>Sun, 13 Feb 2011 16:18:00 +0000</pubDate>
		<guid isPermaLink="false">http://www.neuralmarkettrends.com/?p=2134#comment-3920</guid>
		<description>AlbertoFX you ask a simple question that has a very complicated answer. I suggest you watch my time series tutorials, that&#039;ll give you a starting point.</description>
		<content:encoded><![CDATA[<p>AlbertoFX you ask a simple question that has a very complicated answer. I suggest you watch my time series tutorials, that&#8217;ll give you a starting point.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: AlbertoFX</title>
		<link>http://www.neuralmarkettrends.com/2010/02/23/rapidminer-5-0-video-tutorial-2/comment-page-1/#comment-3919</link>
		<dc:creator>AlbertoFX</dc:creator>
		<pubDate>Sat, 12 Feb 2011 14:29:00 +0000</pubDate>
		<guid isPermaLink="false">http://www.neuralmarkettrends.com/?p=2134#comment-3919</guid>
		<description>Hi, thanks for videos.
I am looking for using Rapid Mine with forex GBPUSD daily/weelly/H4 prediction.
How can I make this with Rapid Mine ?

Thanks in advance!</description>
		<content:encoded><![CDATA[<p>Hi, thanks for videos.<br />
I am looking for using Rapid Mine with forex GBPUSD daily/weelly/H4 prediction.<br />
How can I make this with Rapid Mine ?</p>
<p>Thanks in advance!</p>
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	</item>
	<item>
		<title>By: Anonymous</title>
		<link>http://www.neuralmarkettrends.com/2010/02/23/rapidminer-5-0-video-tutorial-2/comment-page-1/#comment-3909</link>
		<dc:creator>Anonymous</dc:creator>
		<pubDate>Sun, 30 Jan 2011 16:58:00 +0000</pubDate>
		<guid isPermaLink="false">http://www.neuralmarkettrends.com/?p=2134#comment-3909</guid>
		<description>DaveM: Thanks for your kind words, I&#039;m hoping to record some new ones in the Spring. I seem to be on a one year cycle for this. =)</description>
		<content:encoded><![CDATA[<p>DaveM: Thanks for your kind words, I&#8217;m hoping to record some new ones in the Spring. I seem to be on a one year cycle for this. =)</p>
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	<item>
		<title>By: daveM</title>
		<link>http://www.neuralmarkettrends.com/2010/02/23/rapidminer-5-0-video-tutorial-2/comment-page-1/#comment-3906</link>
		<dc:creator>daveM</dc:creator>
		<pubDate>Sat, 29 Jan 2011 21:04:00 +0000</pubDate>
		<guid isPermaLink="false">http://www.neuralmarkettrends.com/?p=2134#comment-3906</guid>
		<description>Each of your videos has a lot of excellent material in them, hopefully you will find it worthwhile to make several more as time passes. There are few videos on the web that can come close to yours for clarity.

Thanks for the work you have put into these</description>
		<content:encoded><![CDATA[<p>Each of your videos has a lot of excellent material in them, hopefully you will find it worthwhile to make several more as time passes. There are few videos on the web that can come close to yours for clarity.</p>
<p>Thanks for the work you have put into these</p>
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	</item>
	<item>
		<title>By: Tom</title>
		<link>http://www.neuralmarkettrends.com/2010/02/23/rapidminer-5-0-video-tutorial-2/comment-page-1/#comment-3665</link>
		<dc:creator>Tom</dc:creator>
		<pubDate>Thu, 04 Nov 2010 01:38:32 +0000</pubDate>
		<guid isPermaLink="false">http://www.neuralmarkettrends.com/?p=2134#comment-3665</guid>
		<description>@tony: Thanks.</description>
		<content:encoded><![CDATA[<p>@tony: Thanks.</p>
]]></content:encoded>
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