assignments:assignment3
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assignments:assignment3 [2016/09/19 12:20] asa [Part 1] |
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| 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
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