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		<title>A new potential phase 2</title>
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		<description>hypersoniq's Blog: A new potential phase 2</description>
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			<title>Original Blog Entry: A new potential phase 2</title>
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			<pubDate>Sun, 17 Aug 2025 18:02:05 GMT</pubDate>
			<dc:creator>hypersoniq</dc:creator>
			<description><![CDATA[<p>While it has been interesting, though not quite so rewarding using the all neutral QP generator in the last few weeks, I have an idea to further process the data in phase one.<br /><br />This would involve building Markov chains using the output and using the resultant Markov probability to narrow down to the neutral that would be most likely to appear in the 7 draw window for each column.<br /><br />I will have to consult the writing on the math version of stack overflow and maybe some R documentation.<br /><br />With the rpy2 library, I can execute R commands directly within Python, while I can use R&#x27;s reticulate library to do the reverse.<br /><br />I have cursory knowledge of Markov&#x27;s theories at best, so this will involve some time to get a picture of what needs to be done. The QP generator will get some more use for the time being.<br /><br />This would make the selection process a 2 layer approach, with the first layer classifying the numbers by frequency, then the next layer taking this data and determining the best digit to play in each column.<br /><br />The goal is always to get ONE combo to play, regardless of the game. A classification phase one with a probabilistic phase 2 would result in just that... ONE best guess.<br /><br />I am also replacing the definition of hot and cold from using the standard deviation to using the observed inter quartile range, as this would allow for a more robust division of classifications that is not as sensitive to the outliers in the group... standard deviation varies wildly between runs.... &#x5b;&#xa0;<a href="/blogentry/194025">More</a>&#xa0;&#x5d;</p>]]></description>
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