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		<title>The output of the Hot/Cold analysis script.</title>
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		<description>hypersoniq's Blog: The output of the Hot/Cold analysis script.</description>
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			<title>Comment #1</title>
			<link>/blogentry/189571#c273296</link>
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			<pubDate>Thu, 20 Feb 2025 19:33:59 GMT</pubDate>
			<dc:creator>hypersoniq</dc:creator>
			<description><![CDATA[<p>If you add up the distribution frequency column, it will be equal to the number of draws analyzed by the X parameter, in this case, 60 draws.</p>]]></description>
			<category>hypersoniq</category>
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			<title>Original Blog Entry: The output of the Hot/Cold analysis script.</title>
			<link>/blogentry/189571</link>
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			<pubDate>Thu, 20 Feb 2025 19:31:51 GMT</pubDate>
			<dc:creator>hypersoniq</dc:creator>
			<description><![CDATA[<p>When running the program on the current Pennsylvania pick 3 evening data, here is the output of the current script (with the launch settings as ProfileHotCold( rawP3E.csv ,60, 10, 12, 8) ...<br /><br />Distribution for column A over 60 draws:<br /><br />1 8 H<br /><br />4 8 H<br /><br />0 7 N<br /><br />2 7 N<br /><br />6 7 N<br /><br />8 7 N<br /><br />3 5 N<br /><br />5 4 C<br /><br />9 4 C<br /><br />7 3 C<br /><br />Distribution for column B over 60 draws:<br /><br />9 9 H<br /><br />0 8 H<br /><br />4 8 H<br /><br />2 6 N<br /><br />5 6 N<br /><br />7 6 N<br /><br />1 5 N<br /><br />8 5 N<br /><br />6 4 C<br /><br />3 3 C<br /><br />Distribution for column C over 60 draws:<br /><br />1 8 H<br /><br />3 8 H<br /><br />2 7 N<br /><br />5 7 N<br /><br />8 7 N<br /><br />9 7 N<br /><br />6 5 N<br /><br />0 4 C<br /><br />4 4 C<br /><br />7 3 C<br /><br />Final classifier count summary:<br /><br />A: 2 H - 5 N - 3 C<br /><br />B: 3 H - 5 N - 2 C<br /><br />C: 2 H - 5 N - 3 C<br /><br />Classifications for the last 10 rows (side by side):<br /><br />5 C 5 N 8 N<br /><br />6 N 5 N 6 N<br /><br />3 N 7 N 6 N<br /><br />6 N 6 C 2 N<br /><br />2 N 1 N 6 N<br /><br />9 C 4 H 0 C<br /><br />5 C 2 N 3 H<br /><br />3 N 3 C 6 N<br /><br />2 N 8 N 5 N<br /><br />1 H 5 N 7 C<br /><br />a few things of note... this was not a script for general use, hence the lack of headers in the distribution counts, but here is how that works...<br /><br />example: 1 8 H<br /><br />1 is the digit, 8 is the number of times it came out (frequency, the distribution is sorted by frequency, descending), H is the classifier because it was = 12% of the 60 draws in X (13.33% actually)<br /><br />The classifier count is per column, with A being the first column of results. it is a quick visual summary of the 3 distribution columns above it.<br /><br />Also notice the frequency of patterns in the last 10 draws... N being the most common overall, with 4 draws with an N N N profile and 2 with the pattern N C N... it&#x27;s as if the hot ones are less of a factor.<br /><br />I wrote it that if I enter a 0 for Y, it skips classifying any draws because it is the goal to have current data classified to make a pick.<br /><br />Not sure what good it will do, but it was another idea turned into code, so on that front, it was already a win.... &#x5b;&#xa0;<a href="/blogentry/189571">More</a>&#xa0;&#x5d;</p>]]></description>
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