Performance measures and validation methods
Performance measures and validation methods
Instructors: Jonne Pohjankukka
Access provided by Angelo State University
Intermediate level
Recommended experience
Flexible schedule
Learn at your own pace
What you'll learn
Evaluate classification models using ROC curves and threshold-based analysis
Interpret AUC and C-index metrics to compare model performance
Apply resampling and cross-validation techniques for robust model selection
Design validation strategies for real-world datasets with non-independent observations
Details to know
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Taught in English
Recently updated!
April 2026
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