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Evaluation Metrics
Monday, Feb. 24, 2025 | 2:00 PM - 3:00 PM UTC+8:00
Overview
This course is designed to equip learners with a foundational understanding of the essential metrics and techniques used to evaluate machine learning models. Participants will explore various performance metrics such as accuracy, precision, recall, F1-score, ROC-AUC, and more, while gaining insights into when and why each metric is appropriate. Through practical examples and real-world scenarios, this course will enable learners to confidently assess model performance, identify potential issues, and make informed decisions about model improvements.
Topics
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Speaker(s)
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Papon Y
Alibaba Cloud Academy Training Advisor
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