12 docs tagged with "classification"

How to extract and interpret TP, TN, FP, FN from a 2×2 table; why accuracy alone misleads on imbalanced data

Visual interpretation of classification models, 2D decision boundaries, overfitting vs underfitting, and model-specific boundary shapes

How to balance precision and recall into a single number; when to use F1, F-beta, or alternatives like MCC

Complete guide to binary and multi-class logistic regression with sigmoid function, probability interpretation, and worked classification examples for CT exam

Quick navigation hub for Classification & Evaluation topics covering CV, Logistic Regression, Classification Metrics, Model Comparison, and Decision Boundaries

40 practice problems covering cross-validation, logistic regression, classification metrics, model comparison, and decision boundaries

Extending binary metrics to >2 classes; decision guide for which metric to use

Extending binary logistic regression to >2 classes (one-vs-rest, softmax); decision boundaries; practical API usage

Two metrics that expose what accuracy hides—false alarms vs missed cases, and the tradeoff between them

Visualising and comparing classifiers via ROC curves and AUC; how to pick a threshold when the default 0.5 isn't right

Deriving the sigmoid fit from the linear equation; working through hand calculations; log loss as the cost function

Binary classification setup; why linear regression fails on classification; why the sigmoid function is needed