Mukundarajan V N·3d agoThe Surprising Power of Specificity“The more specific we are, the more universal something can become. Life is in the details. If you generalize, it doesn’t resonate. The…A response icon8A response icon8
Erick Otuoma·Oct 22My Model Lost to One of Its Own FeaturesML Zoomcamp week 4: evaluating a classifier with ROC AUC, precision, recall, F1 and cross-validation.
Akshat Gupta·Oct 21Precision, Recall, F1-Score :Accuracy cannot be trusted completely as a reliable source of metric, for evaluation of scores and predictions from model and can often…
Dmitrii Osenilo·Sep 29An Impossibly Precise Experiment That Proves NothingHow the precision of quantum theory points the ether to its answers
InData Science ExplainedbyBilly Chan·Sep 25Precision-Recall vs. ROC Curve ExplainedI’m not going to lie. I still can’t intuitively figure out precision, recall, true positive rate, false positive rate, etc. without quickly…A response icon1A response icon1
Sonali_Bugade·Sep 20Why Your 95% Accurate Model Is Useless???Accuracy vs Precision, Recall and F1A response icon1A response icon1
Sonakhya·Sep 5Straitening the relationship between Sampling Variation and Sample Size through REvery survey statistician eventually meets the the Relative Standard Error (RSE). It tells you how much to trust a number — a small RSE…
InData Science CollectivebyDr Swarnendu AI·Aug 19Why Confidence and Correctness Diverge, What It Costs When They Do, and How to Fix ItYour Model Says It’s 90% Sure. It Should Be Right 90% of the Time.A response icon3A response icon3
