CS计算机代考程序代写 Excel algorithm RMIT Classification: Trusted#

RMIT Classification: Trusted#
COSC2672/COSC2793 Assignment 1 Marking Rubric (Semester 1 2021)
Weight
Elements
HD+
HD
DI
CR
PA
PA-
NN
50%
1) Data exploration leading to well informed approach.
2) Identifying an adequate evaluation framework that is tailored to the problem.
3) Well justified method/algorithms selection.
4) Hyper parameters selection strategy. 5) Through analysis of the models.
5) Approach satisfy all the requirements and restrictions.
6) Follow the restrictions
Outstanding across the course.
The approach is an excellent and extremely thorough investigation of the chosen ML problem. All elements adequately analysed. Goes beyond what is done in class.
The approach is a good and reasonably thorough investigation of the chosen ML problem.
There are small gaps between in the investigation in what could have been explored. Goes beyond what is done in class.
The approach is sufficient, but not a thorough investigation of the chosen ML problem.
There are gaps in the investigation and alternative algorithms or techniques are better than the ones in the approach. The approach has a limited consideration of the unique aspects of the chosen ML problem.
The approach is a minimally sufficient investigation of the chosen ML problem. It only examines the bare minimum requirements of suitable techniques and algorithms. There are many gaps in the investigation and there are algorithms or techniques are clearly more suited to the chosen ML problem.
Poor, superficial, or incomplete approach that does not meet the minimum requirements for PA.
Not Completed
20%
1) Analysis of the model and the outputs using suitable methods.
2) Make a clear ultimate Judgment.
3) Rational behind the ultimate model is clear and considers all the aspects. 4) Limitations of the model identified.
Outstanding across the course.
Ultimate Judgement is established and exceptionally justified Evaluation of the Ultimate Judgement is exceptional and clearly demonstrated the viability of the trained model in real-world practice and limitations.
Ultimate Judgement is established and suitably justified Evaluation of the Ultimate Judgement is sound and suitably explained, however, the reader may not be fully convinced and have minor questions.
Ultimate Judgement is established, but there are unexplained choices, or the justification is hard to follow.
An sufficient attempt at evaluating the Ultimate Judgement is made.
An Ultimate Judgement is made by not justified.
An Ultimate Judgement is not made.
Not Complete
20%
Performance on the unseen test set
Outstanding across the course. (Top 5%)
In Top 5-20%
In Top 20-25%
In Top 25-50%
Better than random model but not in top 50%
Less accurate than random model
Not Complete
10%
1) Code is well documented and easy to understand.
2) Code does not contain errors.
3) Code contain evidence of all investigations mentioned in report. 4) Code is optimal and shows good programming practices.
Outstanding across the course.
Code is exceptional and satisfy all the elements.
Code is styled and organised reasonably. Commenting could be improved.
Code is styled and organised reasonably. Commenting could be improved. Few minor errors.
Code is styled and organised poorly, not following general good programming practices. Commenting is rare. Implementation has minor issues but works.
Code is styled and organised poorly, not following general good programming practices. Contain major errors.
Not Completed
Implementation Test Results Ultimate Judgment & Approach Analysis