Model Selection: Optimizing Classifiers for Different Evaluation Metrics

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From the course by University of Michigan
Applied Machine Learning in Python
967 ratings
University of Michigan

Applied Machine Learning in Python

967 ratings
Course 3 of 5 in the Specialization Applied Data Science with Python
From the lesson
Module 3: Evaluation
This module covers evaluation and model selection methods that you can use to help understand and optimize the performance of your machine learning models.

Meet the Instructors

  • Kevyn Collins-Thompson
    Kevyn Collins-Thompson
    Associate Professor
    School of Information
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