Statistical Inference of Logistic Regression: Confusion Matrix, Errors, and Model Selection

Learn about statistical inference in logistic regression, covering key concepts like confusion matrices, error types, and model selection. Explore the Irish Flower dataset, understand recall and precision metrics, and delve into topics such as AIC advantages, single layer perceptrons, and logistic multicollinearity in this informative 17-minute video lecture from NPTEL-NOC IITM.

Syllabus

Introduction
Irish Flower Data
Confusion Matrix
Recall and Precision
Model Selection
Advantage of AIC
Single Layer Perceptron
Logistic Multicollinearity