<p>I'm attempting to find an example of a learning machine/neural network that achieves zero variance, but I am having a hard time finding an example anywhere.</p>

<p><strong>Variance</strong> is defined as the generalization error for a neural network or in other words the difference between the learning function derived from a specific sample and the function derived from all training samples. </p>

<p>Does anyone know an example that they can share? Any help would be greatly appreciated. </p>

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2014-10-14T10:10:05.500Z
I'm not an expert in the field of machine learning, but I don't think such a thing is possible unless you're overlearning.  In such cases you'll correctly classify every one of your samples, but you'll fail to generalize to new samples... Or am I misunderstanding your question?
Louis Thibault
<theoretical-neuroscience><neural-network>
What is an example of a learning machine that achieves zero variance?
Marcus Koz
# What is an example of a learning machine that achieves zero variance?

(Asked by: username_0 on 2014-10-14)

I'm attempting to find an example of a learning machine/neural network that achieves zero variance, but I am having a hard time finding an example anywhere.

**Variance** is defined as the generalization error for a neural network or in other words the difference between the learning function derived from a specific sample and the function derived from all training samples.

Does anyone know an example that they can share? Any help would be greatly appreciated.

**Tags:** theoretical-neuroscience, neural-network

> **Comments:**
> **username_1**: I'm not an expert in the field of machine learning, but I don't think such a thing is possible unless you're overlearning.  In such cases you'll correctly classify every one of your samples, but you'll fail to generalize to new samples... Or am I misunderstanding your question?  

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