TU Wien:IT-based Management VU (Schwaiger)/Group project evaluation criteria
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Kriterium 1: Structure of the Project Paper
- Requirement: The paper should follow the structure: 1) Introduction, 2) Methodology, 3) Empirical Results, 4) Summary.
- Assessment Options:
- No
- Partially
- Yes
Kriterium 2: Writing Style
- Requirement: The paper must be written in an essay style, with clearly written and easily understandable sentences.
- Assessment Options:
- No
- No, only fragmentarily
- Only one chapter is well written
- Two chapters are well written
- Three chapters are well written
- Yes, all chapters are well written
Kriterium 3: Introduction Chapter
- Requirement: The Introduction chapter should include a well-written abstract and provide a good overview of the problem and its solution.
- Assessment Options:
- No
- Abstract and overview are very vague
- Abstract and overview are satisfactory
- Abstract and overview are good
- Abstract and overview are very well written
Kriterium 4: Methodology Chapter
- Requirement: Are the five sub-contents of the Methodology chapter well explained?
- Assessment Options:
- No
- No, only fragmentarily
- Yes, three sub-contents are well explained
- Yes, only 1 sub-content is not well explained
- Yes, all five sub-contents are well explained
Kriterium 5: Empirical Results Chapter
- Requirement: Are the three sub-contents of the Empirical Results chapter well explained?
- Assessment Options:
- No
- No, only fragmentarily
- Yes, two sub-contents are well explained
- Yes, all three sub-contents are well explained
Kriterium 6: Summary Chapter
- Requirement: The achieved Gini coefficients must be specified in the form of In-Sample and Out-of-Sample coefficients for WOE-binning results and should be well explained.
- Assessment Options:
- No Gini coefficients are mentioned
- Some Gini coefficients are specified but hardly explained
- Some Gini coefficients are specified and explained quite well
- All Gini coefficients are specified and explained quite well
- All Gini coefficients are specified even in matrix format and are well explained
Kriterium 7: Overall Quality
- Requirement: Based on the assessments of previous criteria, grade the overall quality of the project work.
- Assessment Options:
- Not sufficient
- Sufficient
- Satisfactory
- Good
- Excellent
Kriterium 8: Data Splitting
- Requirement: Does the data splitting correspond to a 75/25 ratio for the training and test sample?
- Assessment Options:
- No
- Yes
Kriterium 9: Seed for Random Number Generator
- Requirement: Was the seed for the random number generator changed?
- Assessment Options:
- Yes
- No
Kriterium 10: Logistic Regression Variables
- Requirement: Were five variables used in the logistic regression?
- Assessment Options:
- No
- Yes
Kriterium 11: Variable Structure
- Requirement: How many of the variables fulfill the requirement of having a linear or a U-shaped structure of their positive probabilities?
- Assessment Options:
- 3 or fewer
- 4 variables
- All 5 variables
Kriterium 12: In-Sample Gini Coefficient
- Requirement: Which value exceeds the In-Sample Gini coefficient of the WOE-binning?
- Assessment Options:
- 50%
- 55%
- 60%
- 62%
- 63%
- 64%
- 65%
Overall Feedback
Provide an overall summary based on the evaluation:
- What was well done? Highlight specific strengths of the project.
- What can be improved? Suggest actionable areas for enhancement.