Performance Metrics for Classification Problem in Machine Learning - Part 1
Offered By: Krish Naik via YouTube
Course Description
Overview
Explore key performance metrics for classification problems in machine learning, focusing on binary classification. Learn about the problem statement, recall, and precision. Gain insights into evaluating model performance and understanding the importance of these metrics in real-world applications.
Syllabus
Introduction
Classification Problem Statement
Binary Classification Problem
Recall and Precision
Recall
Taught by
Krish Naik
Related Courses
Classification ModelsUdacity Evaluate Machine Learning Models with Yellowbrick
Coursera Project Network via Coursera Logistic Regression with Python and Numpy
Coursera Project Network via Coursera Computational Learning Theory and Beyond
openHPI Introduction to Deep Learning with Keras
DataCamp