Warning
This page is located in archive. Go to the latest version of this course pages.

Differences

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

Link to this comparison view

Both sides previous revision Previous revision
Next revision
Previous revision
courses:be5b33prg:homeworks:spam:evaluation [2015/11/25 11:10]
xposik [Filter quality assessment]
courses:be5b33prg:homeworks:spam:evaluation [2017/12/08 15:33]
petrito1 [Evaluation]
Line 1: Line 1:
 ======Evaluation====== ======Evaluation======
 +
 +<WRAP important round>
 +See the general [[courses:​be5b33prg:​tutorials:​homeworks|homework guidelines]]!
 +</​WRAP>​
 +
 Most of all, we appreciate your effort. You should not be afraid of failing the course because of this assignment. It is considered done as long as you satisfy very loose requirements. Most of all, we appreciate your effort. You should not be afraid of failing the course because of this assignment. It is considered done as long as you satisfy very loose requirements.
  
Line 7: Line 12:
  
 ^ Evaluation category ^ min ^ max ^ note ^ ^ Evaluation category ^ min ^ max ^ note ^
-| [[courses:ae4b99rph:labs:​spam:​specifications#​submission_1|Submission 1]] ||| **See the Upload system for the due date!!!** |+| [[courses:be5b33prg:homeworks:​spam:​specifications#​submission_1|Submission 1]] ||| **See the Upload system for the due date!!!** |
 | ''​compute_quality_for_corpus''​ | 0 | 5 | Function works correctly (yes/no). | | ''​compute_quality_for_corpus''​ | 0 | 5 | Function works correctly (yes/no). |
-| [[courses:ae4b99rph:labs:​spam:​specifications#​submission_2|Submission 2]] ||| **See the Upload system for the due date!!!** |+| [[courses:be5b33prg:homeworks:​spam:​specifications#​submission_2|Submission 2]] ||| **See the Upload system for the due date!!!** |
 | Filter runs | 4 | 4 | After applying the filter to a dataset, filter provides predictions,​ does not issue any error,... By this we reward your ability to write a simple spam filter in Python. | | Filter runs | 4 | 4 | After applying the filter to a dataset, filter provides predictions,​ does not issue any error,... By this we reward your ability to write a simple spam filter in Python. |
 | A non-trivial filter | 0 | 2 | Reward for the endeavour to create a reasonable filter. Simple filters like "​everything is spam", "​everything is OK", or "​decide randomly"​ will not get this reward. Filters using at least a simple if-then rule are eligible for this reward. |  | A non-trivial filter | 0 | 2 | Reward for the endeavour to create a reasonable filter. Simple filters like "​everything is spam", "​everything is OK", or "​decide randomly"​ will not get this reward. Filters using at least a simple if-then rule are eligible for this reward. | 
Line 15: Line 20:
 | A learning filter | 0 | 2 | (+ full rewards from preceding categories) Filter changes its model of world based on the characteristics of the training data set. |  | A learning filter | 0 | 2 | (+ full rewards from preceding categories) Filter changes its model of world based on the characteristics of the training data set. | 
 | The code quality | 0 | 4 | Suitable names for variables, functions, classes, constants. Readability,​ understandability,​ comments. ​ |  | The code quality | 0 | 4 | Suitable names for variables, functions, classes, constants. Readability,​ understandability,​ comments. ​ | 
-| Evaluation of filter ​efficiency ​| 0 | 9 | According to the measured quality. ​See below. |+| Evaluation of filter ​quality ​| 0 | 9 | See below. |
 ^ Total ^ 4 ^ 28 ^ ^ Total ^ 4 ^ 28 ^
  
courses/be5b33prg/homeworks/spam/evaluation.txt · Last modified: 2017/12/08 15:33 by petrito1