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| CIS8008 ASSIGNMENT 3 MARKING FEEDBACK | |||
| Student Name: | Click here to enter text. | Student ID: | Click here to enter text. |
| Marker Initials: | Date Marked: | Click here to enter a date. |
This document is intended to both grade and provide feedback on CIS8008 Please note the marks
given for each task and the areas that were of issue in your submission.
| MARKING SUMMARY | ||
| Task 1.1 Exploratory data analysis of weatherAUS.csv data set | 0 | / 15 |
| Task 1.2 Decision Tree Analysis of weatherAus.csv data set | 0 | /6 |
| Task 1.3 Logistic regression analysis of weatherAus.csv data set | 0 | /7 |
| Task 1.4 Model performance comparison Decision Tree versus Logistic Regression for weatherAus.csv |
0 | /7 |
| Task 2.1 Deep Learning Artificial Intelligence and Application | 0 | /15 |
| Task 2.2 Ethical Concerns raised by Deep Learning Algorithms Supporting Decision making |
0 | /15 |
| Task 3.1 Description of required Tableau view and key trends and patterns | 0 | /5 |
| Task 3.2 Description of required Tableau view and key trends and patterns | 0 | /5 |
| Task 3.3 Description of required Tableau view and key trends and patterns | 0 | /5 |
| Task 3.4 Description of required Tableau view and key trends and patterns | 0 | /5 |
| Task 3.5 Rationale for design and functionality of Tableau Dashboard | 0 | /5 |
| Report structure, presentation writing and referencing. | 0 | / 10 |
| Deduct marks for late submission or academic penalty | 0 | 0 |
| Final Mark (Press F9 to Update Result) | 0 | / 100 |
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TASK 1 .1
EXPLORATORY DATA ANALYSIS AND DATA PREPARATION OF WEATHERAUS.CSV DATA SET
Task 1.1 Conduct an exploratory data analysis (EDA) and data preparation of weatherAUS.csv data set and summarise key findings of EDA and data
preparation in a Table and discuss key findings (15 marks 250 words)
| 15 | 13 | 11 | 8 | 7 | 0 |
| High Distinction: | Distinction: | Credit: | Pass: | Fail: | Not Submitted or not relevant: |
| Compelling and well structured account. Complete EDA process provided, key results of comprehensive EDA summarised in Table 2.1 with accompanying graphs and key results of EDA clearly discussed. Initiative clearly demonstrated. Use of Independently sourced quality references as well as those provided on the course study desk |
Good structure and comprehensive account. Complete EDA process provided, key results of comprehensive EDA summarised in Table 2.1 with accompanying graphs and key results clearly discussed. Use of Independently sourced quality references as well as those provided on the course study desk |
Adequate structure and account. EDA process provided, key results of EDA summarised in Table 2.1 with some graphs and key results discussed. Use of prescribed Textbook as reference as well as those provided on the course study desk |
Adequate structure but incomplete EDA process provided, key results provided in Table 2.1 were incomplete with some graphs and limited discussion of key results but based entirely on one reference |
Poor structure and/or inadequate list and incoherent account. Incomplete EDA process provided, key results provided in Table 2.1 were incomplete with few or nil graphs and limited discussion of key results. A lack of attribution in citing and referencing sources. |
No attempt made or diverse from what is acceptable. |
| Note: | |||||
| Task 1.1 Comments: |
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TASK 1.2
DECISION TREE ANALYSIS OF WEATHERAUS.CSV DATA SET
Build a Decision Tree model for predicting whether it is likely to rain tomorrow based on today’s weather conditions and any other relevant variables using
RapidMiner; provide following outputs: (1) Decision Tree process, (2) Decision Tree diagram, (3) Decision Tree rules; discuss key results of Decision Tree
model drawing on these outputs (6 marks 250 words)
| 6 | 5 | 4 | 3 | 2 | 0 |
| High Distinction: | Distinction: | Credit: | Pass: | Fail: | Not Submitted: |
| Compelling and well structured account. Provided complete DT process, DT Diagram, DT Rules and clearly discussed key findings from DT outputs. Initiative clearly demonstrated. Use of Independently sourced quality references as well as those provided on the course study desk |
Good structure and comprehensive account. Provided complete DT process, DT diagram, DT rules and clearly discussed key findings from DT outputs. Use of Independently sourced quality references as well as those provided on the course study desk |
Adequate structure and account. Provided DT process, DT diagram, DT rules and discussed key findings from DT outputs. Use of prescribed Textbook as well as other references provided on the course study desk |
Adequate structure but limited account. Provided incomplete DT process, DT diagram, DT rules, limited discussion of key findings from DT outputs. Based entirely on one key reference |
Poor structure and/or inadequate list and incoherent account for DT process, DT diagram, DT rules and inadequate discussion of key findings from DT outputs. A lack of attribution in citing and referencing sources. |
No attempt made or diverse from what is acceptable. |
| Note: | |||||
| Task 1.2 Comments: |
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TASK 1.3
LOGISTIC REGRESSION ANALYSIS OF WEATHERAUS.CSV DATA SET
Build a Logistic Regression model for predicting whether it is likely to rain tomorrow based on today’s weather conditions and any other relevant variables
using RapidMiner; provide these outputs (1) Final Logistic Regression Model process (2) Table summarising Coefficients, and (3) Odds Ratios etc and discuss
key results of Logistic Regression model drawing on these outputs (7 marks 250 words)
| 7 | 6 | 5 | 4 | 3 | 0 |
| High Distinction: | Distinction: | Credit: | Pass: | Fail: | Not Submitted or not relevant: |
| Compelling and well structured account. Provided complete LGR process, LGR Summary Table (Coefficients, Odds Ratios etc) and clearly discussed key findings from LGR outputs. Initiative clearly demonstrated. Use of Independently sourced quality references as well as those provided on the course study desk |
Good structure and comprehensive account. Provided complete LGR process, LGR Summary Table (Coefficients, Odds Ratios etc) clearly discussed key findings from LGR outputs. Use of Independently sourced quality references as well as those provided on the course study desk |
Adequate structure and account. Provided LGR process, LGR Summary Table (Coefficients, Odds Ratios etc) and discussed key findings from LGR outputs. Use of prescribed Textbook as well as other references provided on the course study desk |
Adequate structure but limited account. Provided incomplete LGR process, LGR Summary Table (Coefficients, Odds Ratios etc), limited discussion of key findings from LGR outputs. Based entirely on one key reference |
Poor structure and/or inadequate list and incoherent account for LGR process, LGR Summary Table (Coefficients, Odds Ratios etc) and inadequate discussion of key findings from LGR outputs. A lack of attribution in citing and referencing sources. |
No attempt made or diverse from what is acceptable. |
| Note: | |||||
| Task 1.3 Comments: |
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TASK 1.4
MODEL PERFORMANCE COMPARISON OF DECISION TREE AND LOGISTIC REGRESSION MODELS
Discuss and compare performance of Final Decision Tree Model with Final Logistic Regression Model for predicting whether a customer is likely to churn
based the results of the confusion matrix, and ROC charts summarised in a table using model performance metrics (1) accuracy (2) sensitivity (3) specificity
and (4) F1 score (7 marks 250 words)
| 7 | 6 | 5 | 4 | 3 | 0 |
| High Distinction: | Distinction: | Credit: | Pass: | Fail: | Not Submitted or not relevant: |
| Compelling and well structured account. Clearly compared and discussed DT model versus LGR model based on model performance metrics (1) accuracy (2) sensitivity (3) specificity (4) F1 score. Use of Independently sourced quality references as well as those provided on the course study desk |
Good structure and comprehensive account. Clearly compared and discussed DT model versus LGR model based on model performance metrics (1) accuracy (2) sensitivity (3) specificity (4) F1 score. Use of Independently sourced quality references as well as those provided on the course study desk |
Adequate structure and account. Compared and discussed DT model versus LGR model based on model performance metrics (1) accuracy (2) sensitivity (3) specificity (4) F1 score. Use of prescribed Textbook and other references on course study desk |
Adequate structure but inadequate account. Limited comparison and discussion of DT model versus LGR model based on model performance metrics (1) accuracy (2) sensitivity (3) specificity (4) F1 score. But based entirely on prescribed Textbook |
Poor structure and/or inadequate list and incoherent account for comparison and discussion of DT model versus LGR model based on model performance metrics (1) accuracy (2) sensitivity (3) specificity (4) F1 score. A lack of attribution in citing and referencing sources. |
No attempt made or diverse from what is acceptable. |
| Note: | |||||
| Task 1.4 Comments: |
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TASK 2.1
DEEP LEARNING AND ARTIFICIAL INTELLIGENCE
Define concept of deep learning in context of artificial intelligence and identify and discuss an application of deep learning that deployed a commonly used
deep learning algorithm (advanced neural networks) successfully adopted in an industry and/or government sector drawing the relevant and current
literature (15 marks 1000 words)
| 15 | 13 | 11 | 8 | 7 | 0 |
| High Distinction: | Distinction: | Credit: | Pass: | Fail: | Not Submitted or not relevant: |
| Compelling and well structured account. Clearly defined concept of deep learning in context of AI; identified and comprehensively discussed an application of deep learning. Use of Independently sourced quality references as well as those provided on the course study desk |
Good structure and comprehensive account. Clearly defined concept of deep learning in context of AI; identified and comprehensively discussed an application of deep learning.. Use of Independently sourced quality references as well as those provided on the course study desk |
Adequate structure and account. Defined concept of deep learning in context of AI; identified and discussed an application of deep learning. Use of prescribed Textbook and other references on course study desk |
Adequate structure but inadequate account for defining concept of deep learning in context of AI; identification and discussion of an application of deep learning. But based entirely on prescribed Textbook |
Poor structure and/or inadequate list and incoherent account for defining concept of deep learning in context of AI; identification and discussion of an application of deep learning.. A lack of attribution in citing and referencing sources |
No attempt made or diverse from what is acceptable. |
| Task 2.1 Comments: |
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TASK 2.2
ETHICAL CONCERNS RAISED BY DEEP LEARNING ALGORITHMS SUPPORTING DECISION MAKING
Based on your review of deep learning in context of AI identify and discuss the key ethical concerns raised by using a deep learning algorithm to
support decision making in a specific context with appropriate in-text referencing support (15 marks 1000 words)
| 15 | 13 | 11 | 8 | 7 | 0 |
| High Distinction: | Distinction: | Credit: | Pass: | Fail: | Not Submitted or not relevant: |
| Compelling and well structured account. Insightful coverage key ethical concerns raised by using a deep learning algorithm to support decision making in specific context. Independently sourced quality references as well as those provided on the course study desk |
Good structure and comprehensive account. Coverage key ethical concerns raised by using a deep learning algorithm to support decision making in specific context. Use of Independently sourced quality references as well as those provided on the course study desk |
Adequate structure and account for coverage key ethical concerns raised by using a deep learning algorithm to support decision making in specific context. Use of prescribed Textbook as well as other references provided on the course study desk |
Adequate structure but limited account for coverage key ethical concerns raised by using a deep learning algorithm to support decision making in specific context. Based entirely on one key reference |
Poor structure and/or inadequate list and incoherent account for coverage key ethical concerns raised by using a deep learning algorithm to support decision making in specific context. A lack of attribution in citing and referencing sources. |
No attempt made or diverse from what is acceptable. |
| Task 2.2 Comments: “ |
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TASK 3.1
TABLEAU WORKSHEET OF RAINFALL OVER MONTHS FOR SPECIFIC STATE
Create a Tableau View of rainfall over month for each location and a specific state. Provide a screen snapshot and describe Tableau view created and
comment on rainfall over one month across different locations and does this differ much for different states (5 marks 125 words)
| 5 | 4 | 3 | 2.5 | 2 | 0 |
| High Distinction: | Distinction: | Credit: | Pass: | Fail: | Not Submitted or not relevant: |
| Snapshot of required Tableau view provided. Compelling and well- structured coverage of required Tableau view and description of process and key trends or patterns that are evident. Initiative clearly demonstrated. |
Snapshot of required Tableau view provided. Good structure and comprehensive coverage of required Tableau view and description of process and key trends or patterns that are evident . |
Snapshot of required Tableau view provided. Adequate structure and coverage of required Tableau view and description of process and key trends or patterns that are evident |
Snapshot of required Tableau view provided. Adequate structure but limited coverage of required Tableau view and description of process and key trends or patterns are evident. |
Poor structure and/or inadequate and incoherent coverage of required Tableau view and description of process and key trends or patterns that are somewhat evident. |
No attempt made or diverse from what is acceptable. |
| Task 3.1 Comments: |
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TASK 3.2
TABLEAU WORKSHEET OF TOTAL RAINFALL BY YEAR FOR LOCATION AND STATE
Create a Tableau View of total rainfall by year for each location and a specific state. Provide a screen snapshot and describe Tableau view created and
comment on variation of total rain across locations for a specific state (5 marks 125 words)
| 5 | 4 | 3 | 2.5 | 2 | 0 |
| High Distinction: | Distinction: | Credit: | Pass: | Fail: | Not Submitted or not relevant: |
| Snapshot of required Tableau view provided. Compelling and well- structured coverage of required Tableau view and description of process and key trends or patterns that are evident. Initiative clearly demonstrated. |
Snapshot of required Tableau view provided. Good structure and comprehensive coverage of required Tableau view and description of process and key trends or patterns that are evident . |
Snapshot of required Tableau view provided. Adequate structure and coverage of required Tableau view and description of process and key trends or patterns that are evident |
Snapshot of required Tableau view provided. Adequate structure but limited coverage of required Tableau view and description of process and key trends or patterns are evident. |
Poor structure and/or inadequate and incoherent coverage of required Tableau view and description of process and key trends or patterns that are somewhat evident. |
No attempt made or diverse from what is acceptable. |
| Task 3.2 Comment |
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TASK 3.3
TABLEAU WORKSHEET OF TOTAL EVAPORATION OVER MONTH LOCATION AND STATES
Create a Tableau View of total evaporation over month by location for a specific state. Provide a screen snapshot, describe Tableau view created and
comment on the levels of evaporation over month for different locations and states (5 marks 125 words).
| 5 | 4 | 3 | 2.5 | 2 | 0 |
| High Distinction: | Distinction: | Credit: | Pass: | Fail: | Not Submitted or not relevant: |
| Snapshot of required Tableau view provided. Compelling and well- structured coverage of required Tableau view and description of process and key trends or patterns that are evident. Initiative clearly demonstrated. |
Snapshot of required Tableau view provided. Good structure and comprehensive coverage of required Tableau view and description of process and key trends or patterns that are evident . |
Snapshot of required Tableau view provided. Adequate structure and coverage of required Tableau view and description of process and key trends or patterns that are evident |
Snapshot of required Tableau view provided. Adequate structure but limited coverage of required Tableau view and description of process and key trends or patterns are evident. |
Poor structure and/or inadequate and incoherent coverage of required Tableau view and description of process and key trends or patterns that are somewhat evident. |
No attempt made or diverse from what is acceptable. |
| Task 3.3 Comment |
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TASK 3.4
TABLEAU WORKSHEET OF GEOMAP VIEW OF AUSTRALIAN WEATHER STATIONS, LATITUDE, LONGITUDE, RAINFALL
FOR A YEAR
Create a Tableau GeoMap View of all Australian weather stations that provides latitude and longitude and total rainfall for a selected year. Provide a screen
snapshot and describe Tableau Geomap view created and comment on two or more selected locations for a state (5 marks 125 words).
| 5 | 4 | 3 | 2.5 | 2 | 0 |
| High Distinction: | Distinction: | Credit: | Pass: | Fail: | Not Submitted or not relevant: |
| Snapshot of required Tableau view provided. Compelling and well- structured coverage of required Tableau geo-map view and description of process and key trends or patterns that are evident. Initiative clearly demonstrated. |
Snapshot of required Tableau view provided. Good structure and comprehensive coverage of required Tableau geo-map view and description of process and key trends or patterns that are evident . |
Snapshot of required Tableau view provided. Adequate structure and coverage of required Tableau geo-map view and description of process and key trends or patterns that are evident |
Snapshot of required Tableau view provided. Adequate structure but limited coverage of required Tableau geo-map view and description of process and key trends or patterns are evident. |
Poor structure and/or inadequate and incoherent coverage of required Tableau geo-map view and description of process and key trends or patterns that are somewhat evident. |
No attempt made or diverse from what is acceptable. |
| Task 3.4 Comment |
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TASK 3.5
SNAPSHOT OF AWL DASHBOARD PROVIDED RATIONALE FOR DESIGN AND FUNCTIONALITY OF AWL DASHBOARD
AND FOUR REQUIRED TABLEAU VIEWS SUPPORTED BY RELEVANT REFERENCE LITERATURE ON GOOD
DASHBOARD DESIGN
Provide screen snapshot of your AWL Dashboard and an accompanying rationale (drawing on relevant literature for good dashboard design) for the graphic
design and functionality that is provided by your AWL Dashboard for four specified Tableau views for sub Tasks 3.1, 3.2, 3.3 and 3.4 (5 marks 500 words)
| 5 | 4 | 3 | 2.5 | 2 | 0 |
| High Distinction: | Distinction: | Credit: | Pass: | Fail: | Not Submitted or not relevant: |
| Snapshot of AWL dashboard provided. Compelling and well designed and functional Tableau dashboard and comprehensive rationale for graphic design and functionality provided by AWL dashboard. Initiative clearly demonstrated. Independently sourced quality references as well as those provided on the course study desk |
Snapshot of AWL dashboard provided. Good structure and comprehensive Tableau dashboard and comprehensive rationale for graphic design and functionality provided by AWL dashboard. Initiative clearly demonstrated. Independently sourced quality references as well as those provided on the course study desk |
Snapshot of AWL dashboard provided. Adequate structure and Tableau dashboard and appropriate rationale for graphic design and functionality provided by AWL dashboard. Use of prescribed Textbook as well as other references provided on the course study desk |
Snapshot of AWL dashboard provided. Adequate structure but limited Tableau dashboard and rationale for graphic design and functionality provided by AWL dashboard. Based entirely on one key reference |
Poor structure and/or inadequate and incoherent Tableau dashboard and rationale for graphic design and functionality provided by AWL dashboard. A lack of attribution in citing and referencing sources. |
No attempt made or diverse from what is acceptable. |
| Task 3.5 Comment |
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REPORT STRUCTURE, PRESENTATION, WRITING AND REFERENCING
REPORT STRUCTURE, PRESENTATION, WRITING AND REFERENCING
Report structure, presentation, writing clarity, spelling, grammar, and correct and suitable referencing.
| 10 | 9 | 7 | 5 | 4 | 0 |
| High Distinction: | Distinction: | Credit: | Pass: | Fail: | Not Submitted: |
| Report Structure shows professional presentation of material resulting in clarity of message and information. |
Report Structure carefully and logically organised. |
Report Structure shows organisation and coherence. |
Report Structure shows some attempt to organise in a logical manner. |
Report Structure is Disorganised / incoherent. |
No attempt made or diverse from what is acceptable. |
| Title page and computer generated table of contents / list of tables / list of figures accurate and show professional appearance. |
Title page and computer generated table of contents / list of tables / list of figures accurate. |
Adequate title page and computer generated table of contents / list of tables / list of figures. |
Some flaws in title page and/or computer generated table of contents / list of tables / list of figures. |
Poor formatting, or missing title page, computer generated table of contents / list of tables / list of figures. |
No attempt made or diverse from what is acceptable. |
| Excellent clarity of expression. Grammar and spelling accurate, suitable tone and style for target audience. |
Expression fluent. Grammar and spelling accurate except for minor lapses in target audience focus. |
Grammar and spelling mainly accurate, at times language is unclear and/or unsuitable for target audience. |
Grammar and/or spelling contains errors. Language use is poorly executed or uses too much jargon. |
Frequent mistakes in grammar and/or spelling. Style not appropriate for target audience. |
No attempt made or diverse from what is acceptable. |
| Reference list provided and correctly formatted and cited in text. |
Referencing compliant with Harvard AGPS referencing method with some minor lapses in formatting and citing. |
Minor errors in referencing method overall. |
Limited references provided and/or poorly formatted reference list and poorly cited in text. |
Lack of reference list or poorly formatted references list and citing in text. |
No attempt made or diverse from what is acceptable. |
| Report Structure and Presentation Comments: |
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