Lecture Introduction to Machine learning and Data mining: Lesson 7. This lesson provides students with content about: evaluation of empirical results; assessing performance; some evaluation techniques; hold-out (random splitting); K-fold cross-validation;... Please refer to the detailed content of the lecture!
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Lecture Introduction to Machine learning and Data mining: Lesson 7
Lecture Introduction to Machine learning and Data mining: Lesson 7
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Lecture Introduction to Machine learning and Data mining Bài giảng Học máy và khai phá dữ liệu Machine learning and data mining Evaluation of empirical results Assessing performance K-fold cross-validationTài liệu có liên quan:
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