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! |