Akshat Gupta·Oct 31ROC- AUC Vs PR- AUCROC — Reciver Operating Characteristic — Auc Curve measures how well a model puts positive examples above false examples across thresholds…
AYUSHMAN SHARMA·Jul 28AUC-ROC Curve in Machine LearningBased on: StatQuest with Josh Starmer — ROC and AUC, Clearly Explained!(Special thanks)
Pranav Agrawal·Jun 11Classification Metrics: Why 99% Accuracy Can Still Be UselessA tour of accuracy, precision, recall, F1, and the two curves that finally tell you the truth for a classification model.
InILLUMINATIONbyDebdarsan Niyogi (PhD)·May 29Reading the Robot’s Mind: Part 1 — One Clause to Rule Them Allfor people who would really rather not learn statistics today
Rumeysa Aydogdu·May 23What Are ROC Curve and AUC? How Does the Threshold Value Affect Model Behavior?Let’s explore the intuition behind Confusion Matrix, ROC Curve, AUC, and threshold values through real examples.
Sarthak Pattanaik·Mar 3The ROC Curve: Decision Thresholds, Partial AUC, and Why Accuracy Is a TrapIn the previous installments of this series, we watched features conspire against ordinary least squares in the geometry of…
Nadin Brzezinski·Dec 26, 2025The Holidays in Russia and Other StoriesFirst, let’s talk about religious observance. And let me clarify that the religious Russian Orthodox calendar is different than ours. It…A response icon3A response icon3
Prarthana B K·May 25, 2025Building a Robust ML Pipeline for Network SecurityIn the realm of cybersecurity, real-time intrusion detection is crucial for protecting systems from malicious activity. In this project, we…
AmeerSaleem·Apr 21, 2025How to choose optimal binary classifiers with the ROC-AUC frameworkHow to determine the optimal thresholds for classifiers by investigating the TPR and FPR rates.A response icon1A response icon1
Raonak Shukla·Jan 15, 2025Beyond ROC and Accuracy: Calibration Curves for Assessing Classifier ReliabilityIn critical fields such as healthcare and finance, where decisions based on model predictions can have serious real-world consequences…
