User Tools

Site Tools


assignments:assignment3

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Last revision Both sides next revision
assignments:assignment3 [2016/09/19 12:20]
asa [Part 1]
assignments:assignment3 [2016/09/20 09:33]
asa [Part 2]
Line 43: Line 43:
 Regression Error Characteristic (REC) curves are an interesting way of visualizing regression error as described Regression Error Characteristic (REC) curves are an interesting way of visualizing regression error as described
 in the following [[http://​machinelearning.wustl.edu/​mlpapers/​paper_files/​icml2003_BiB03.pdf|paper]]. in the following [[http://​machinelearning.wustl.edu/​mlpapers/​paper_files/​icml2003_BiB03.pdf|paper]].
-Write a function that plots the REC curve of a regression method, and plot the REC curve of the best regressor you found in Part 1 of the assignment.+Write a function that plots the REC curve of a regression method, and plot the REC curve of the best regressor you found in Part 1 of the assignment ​(i.e. the one that gave the lowest error on the validation set).  Plot the REC curve for both the validation set and the training set.
 What can you learn from this curve that you cannot learn from an error measure such as RMSE or MAD? What can you learn from this curve that you cannot learn from an error measure such as RMSE or MAD?
  
assignments/assignment3.txt ยท Last modified: 2016/09/20 09:34 by asa