yano_pres/data/027Loss Optimization.txt

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2022-05-23 18:49:15 +02:00
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<e>First guess Loss of the Model on the training Data</e>
<e>How to evaluate this?</e>
<e>Train many models, look at the average AUC score.</e>
<e>For the alternative, take groups of 20 models, and look at the AUC score of the best model.</e>
<e>Is there a meaningfull difference between results? Give result as z\_score (#(m_1-m_2)/sqrt(s_1**2+s_2**2)#)</e>
<e>This difference depends a lot on the dataset</e>
<e>->even #LessThan(30,z)# does not mean much</e>
</list>
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<que>
<i f="histone_???" wmode="True"></i>
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