I built a CLI that hashes your ML accuracy claims before the experiment runs

try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3889537) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } sk8ordie84 Posted on Apr 29 I built a CLI that hashes your ML accuracy claims before the experiment runs #python #opensource #showdev #machinelearning I built a CLI that hashes your ML accuracy claims before the experiment runs Last month, a customer told me our model's accuracy on their data was 71%, not the 94% we had shipped on the landing page. I went back to the eval notebook. The threshold was still 0.94. The test set was named the same thing.

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