In practical situations almost all classification problems are cost-sensitive or utility based one way or another. This exercise mimics a real situation in which students first have to translate a description into a datamining workflow, learn a prediction model, apply it to new data, and set up a testing strategy to estimate what will be the performance. The exercise is suitable for students following an introductory data mining course; it has been used in my introductory data mining class (3ECTS; 3rd BSc Computer Science students) for two years now. Students work on it in class for approximately 1 hour and finish the exercise at home. Solutions are to be sent to the lecturer and discussion the solutions the next lecture takes approximately 30 minutes.
|Publication status||Published - 2012|
|Event||conference; Workshop on Teaching Machine Learning; 2012-06-30; 2012-06-30 - |
Duration: 30 Jun 2012 → 30 Jun 2012
|Conference||conference; Workshop on Teaching Machine Learning; 2012-06-30; 2012-06-30|
|Period||30/06/12 → 30/06/12|
|Other||Workshop on Teaching Machine Learning|