Psychology’s Replication Crisis Is Real
You would think that computer science can&#x27;t have replication failures, but it can. And I&#x27;m talking about my own field: machine learning. There is so much hype  that I suspect that people are pushing papers and trying to actively hide the irrelevance of the methods and algorithms they develop.<p>Artificial intelligence faces reproducibility crisis
<a href="http:&#x2F;&#x2F;science.sciencemag.org&#x2F;content&#x2F;359&#x2F;6377&#x2F;725" rel="nofollow">http:&#x2F;&#x2F;science.sciencemag.org&#x2F;content&#x2F;359&#x2F;6377&#x2F;725</a><p>Reproducibility in Machine Learning-Based Studies:
An Example of Text Mining
<a href="https:&#x2F;&#x2F;openreview.net&#x2F;pdf?id=By4l2PbQ-" rel="nofollow">https:&#x2F;&#x2F;openreview.net&#x2F;pdf?id=By4l2PbQ-</a><p>Missing data hinder replication of artificial intelligence studies
<a href="http:&#x2F;&#x2F;www.sciencemag.org&#x2F;news&#x2F;2018&#x2F;02&#x2F;missing-data-hinder-replication-artificial-intelligence-studies" rel="nofollow">http:&#x2F;&#x2F;www.sciencemag.org&#x2F;news&#x2F;2018&#x2F;02&#x2F;missing-data-hinder-r...</a><p>&gt;In a survey of 400 artificial intelligence papers presented at major conferences, just 6% included code for the papers&#x27; algorithms. Some 30% included test data, whereas 54% included pseudocode, a limited summary of an algorithm.