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    <title>Multi-Class Classification on ThinkPractice: Smart Solutions to Practical Problems</title>
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      <title>ZooScan - Part 5: Multi-Label vs. Multi-Class Classification</title>
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      <description>&lt;p&gt;In the previous &lt;a href=&#34;https://thinkpractice.nl/post/zooscan_4/&#34;&gt;post&lt;/a&gt;, we completed a first version of our app, which can spice&#xA;up your visits to a zoo by identifying the animals you see. If, like me, you took it for a spin to your local zoo,&#xA;you might have noticed that the app is not perfect. It can sometimes misidentify animals, and it can also fail to&#xA;assign a label at the correct level of specificity. For example, it might identify a zebra as a horse, or it might not recognize a Labrador as a &amp;ldquo;canine&amp;rdquo; or even a &amp;ldquo;mammal&amp;rdquo;. Why does this happen? We will explore the answer to this question in this post.&lt;/p&gt;</description>
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