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	Comments on: Measuring Regression Errors with Python	</title>
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		<title>
		By: Florian Follonier		</title>
		<link>https://www.relataly.com/regression-error-metrics-python/923/#comment-332</link>

		<dc:creator><![CDATA[Florian Follonier]]></dc:creator>
		<pubDate>Sun, 23 Oct 2022 19:05:42 +0000</pubDate>
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					<description><![CDATA[In reply to &lt;a href=&quot;https://www.relataly.com/regression-error-metrics-python/923/#comment-275&quot;&gt;Olaitan Folashade&lt;/a&gt;.

Hi Olaitan, thanks for your message. Yes, in general you can say for all common regression metrics, the lower the better.]]></description>
			<content:encoded><![CDATA[<p>In reply to <a href="https://www.relataly.com/regression-error-metrics-python/923/#comment-275">Olaitan Folashade</a>.</p>
<p>Hi Olaitan, thanks for your message. Yes, in general you can say for all common regression metrics, the lower the better.</p>
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		<title>
		By: Olaitan Folashade		</title>
		<link>https://www.relataly.com/regression-error-metrics-python/923/#comment-275</link>

		<dc:creator><![CDATA[Olaitan Folashade]]></dc:creator>
		<pubDate>Sun, 17 Jul 2022 14:43:33 +0000</pubDate>
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					<description><![CDATA[Another well explianed content. Thank yo for always. Can we basically conclude that the lower all the values for the metrics are the better? Especially the Median Absolute Percentage Error (MDAPE)]]></description>
			<content:encoded><![CDATA[<p>Another well explianed content. Thank yo for always. Can we basically conclude that the lower all the values for the metrics are the better? Especially the Median Absolute Percentage Error (MDAPE)</p>
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