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4Classical Machine Learning 4.7Post-Training Theory

4.7.4 Advanced Model Evaluation Metrics and Methods

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What this module covers
Part4 Classical Machine Learning
TopicPost-Training Theory
SubtopicAdvanced Model Evaluation Metrics and Methods
BothCertain topics require knowledge of both theoretical principles and practical application.
ScopeConfusion matrices, ROC and precision-recall curves, threshold choice, and interpreting model scores.

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