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
Please fill out the questionnaire to give your suggestions for the session. 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.https://survey.alibabacloud.com/uone/sg/survey/q2Qo0oSTa
Speaker(s)
Papon Y
Alibaba Cloud Academy Training Advisor
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