Overview
Learn about essential binary classification metrics in machine learning through this 38-minute video tutorial. Explore key concepts including accuracy, precision, AUC, and log loss while enhancing a machine learning framework with a classification metrics class. Gain practical insights from Abhishek Thakur's applied machine learning series, with code examples and explanations to deepen your understanding of these fundamental evaluation techniques for binary classification models.
Syllabus
Introduction
Binary Classification Metrics
Terms
Accuracy
Precision
AUC
Log Loss
Coding
Naming
Taught by
Abhishek Thakur