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Evaluating Machine Learning Models: Key Metrics for Performance Assessment

Wednesday, Jul. 23, 2025 | 4:00 PM - 5:00 PM UTC+8:00

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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.

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Topics

AI

Speaker(s)

  • Dr. Papon Yongpisanpop

    Alibaba Cloud Academy Senior Training Advisor

    Papon, Alibaba Cloud International Training Advisor, drives Global Training Delivery with 10+ years in IT education. He's trained over 6,000 students in 220+ sessions across APAC, specializing in Cloud Architecture, Cloud Native, and Big Data.

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