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Tag: Model Answer

  • [Solved] Government Help With Revising Assignment

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  • [Solved] Lead vs follow

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    Leadership positions within teams can often be fluid and dynamic. Circumstances may require an individual to step forward and lead in some situations and then adopt the role of follower in others. As a leader, discuss when you know when it is appropriate to lead and when it is appropriate to follow….

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    Leadership positions within teams can often be fluid and dynamic. Circumstances may require an individual to step forward and lead in some situations and then adopt the role of follower in others. As a leader, discuss when you know when it is appropriate to lead and when it is appropriate to follow. Include an explanation on how you can utilize conscious leadership in fostering leadership skills in your team members, so they too feel confident enough to lead when the situation calls for it.

  • [Solved] English Homework for Dual

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  • [Solved] Successful Teams

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    The purpose of this assignment is to evaluate effective strategies for leading diverse groups at various levels of an organization while fostering collaboration and compassion. Review the case, _Blake Sports Apparel and Switch Activewear: Bringing the Executive Team Together._ Consider the criteria …

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    The purpose of this assignment is to evaluate effective strategies for leading diverse groups at various levels of an organization while fostering collaboration and compassion.
    Review the case, _Blake Sports Apparel and Switch Activewear: Bringing the Executive Team Together._ Consider the criteria for successful teams and the factors needed to ensure teams are structured for success.
    Write a 750-1,000-word plan describing the steps necessary to create more successful teams at various levels in an organization by utilizing the events outlined in the case. Address the following questions and concepts in your paper. Be sure to support your rationale by providing specific examples. You are required to include three to five additional references to support your position.
    1. Define the characteristics and      structure of successful teams. Describe how independent teams are vital to      organizational success.
    2. Discuss the important factors      to consider when leading teams within the various levels of an      organization. Discuss specifically which factors are important to consider      when leading teams at the executive level.
    3. Describe the aspects that are      essential in identifying appropriate members for teams and ensuring the      teams are successfully launched.
    4. Discuss the important      factors for ongoing team dynamics. Describe guidelines to evaluate      the function and productivity of teams.
    5. Describe strategies that can      create collaboration and leadership initiative among team members. Based      on the content provided in the case, explain the action that Barker can      take to improve collaboration among the team members.
    6. Compassion is a significant      attribute of many religions and philosophies, as well as being important      for both authentic and servant leadership. From a Christian worldview      perspective, discuss how you would empower your teams as a leader through      compassion, honoring diversity, engaging team members in civil discourse, and supporting equality for all members as they work toward a common goal.

  • [Solved] NUR509W6

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    – ## NUR509W6.docx **## NUR509W6.docx** **DISCUSSION:** A 41-year-old male patient presents at the community walk-in clinic with complaints of severe elbow pain radiating into the forearm. His 13-year-old daughter is serving as a translator because her father is unable to speak English and understan…

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    – ## NUR509W6.docx

    **## NUR509W6.docx**

    **DISCUSSION:**

    A 41-year-old male patient presents at the community walk-in clinic with complaints of severe elbow pain radiating into the forearm. His 13-year-old daughter is serving as a translator because her father is unable to speak English and understands only a few words in English. The daughter explains that he has been taking Tylenol to manage pain, but the pain is getting worse and is keeping him from working. You ask the daughter to describe the type of work her father does, and you notice she is hesitant to respond, first checking with her father. He responds, and she translates that he works in construction. Based on the response and the apparent concern, you suspect that the patient may be an undocumented worker. Further conversation reveals that several members of the family are working with the same local construction company.

    1. You suspect the pain reported as coming from the elbow and radiating down the forearm is caused by repetitive motions, perhaps indicating lateral epicondylitis. What can you do to confirm this diagnosis?

    2. While performing the physical examination, you ask the patient, through his daughter, if he has reported this injury to his employer, because the injury is most likely work-related. The daughter responded without consulting her father that this is an old injury that happened before he started working at his current place of employment. You could tell that she was becoming more distressed. What is the most likely explanation for her concern?

    3. Visual inspection reveals erythema around the affected area with no evidence of overlying skin lesions, scars, or deformities. What other assessments should you perform?

    4. How is lateral epicondylitis treated?

    5. When discussing possible treatment approaches, you notice that the patient is very worried and seems to suggest to his daughter that they should leave. The daughter begins trying to explain why they have to leave right away. What would you tell the patient and his daughter to help them feel comfortable staying for treatment?

    **INSTRUCTIONS:**

    · Your initial post should be at least 500 words, formatted and cited in current APA style with support from at least 2 academic sources.  Your initial post is worth 8 points.

    · Please include introduction and conclusion paragraphs

    · Please write in paragraph form, no bullet points

    · Incorporate a minimum of 2 current (published within the last five years) scholarly journal articles or primary legal sources (statutes, court opinions) within your work. Journal articles should be referenced according to the current APA style (the online library has an abbreviated version of the APA Manual).

    · Please ensure APA formatting is correct

    PLEASE SEE RUBRIC BELOW FOR SCORE OF 10 POINTS

    ![A screenshot of a white sheet AI-generated content may be incorrect.](https://www.sweetstudy.com/questions/nur509w6)

    ## image1.png

    **## NUR509W6.docx**

    **DISCUSSION:**

    A 41-year-old male patient presents at the community walk-in clinic with complaints of severe elbow pain radiating into the forearm. His 13-year-old daughter is serving as a translator because her father is unable to speak English and understands only a few words in English. The daughter explains that he has been taking Tylenol to manage pain, but the pain is getting worse and is keeping him from working. You ask the daughter to describe the type of work her father does, and you notice she is hesitant to respond, first checking with her father. He responds, and she translates that he works in construction. Based on the response and the apparent concern, you suspect that the patient may be an undocumented worker. Further conversation reveals that several members of the family are working with the same local construction company.

    1. You suspect the pain reported as coming from the elbow and radiating down the forearm is caused by repetitive motions, perhaps indicating lateral epicondylitis. What can you do to confirm this diagnosis?

    2. While performing the physical examination, you ask the patient, through his daughter, if he has reported this injury to his employer, because the injury is most likely work-related. The daughter responded without consulting her father that this is an old injury that happened before he started working at his current place of employment. You could tell that she was becoming more distressed. What is the most likely explanation for her concern?

    3. Visual inspection reveals erythema around the affected area with no evidence of overlying skin lesions, scars, or deformities. What other assessments should you perform?

    4. How is lateral epicondylitis treated?

    5. When discussing possible treatment approaches, you notice that the patient is very worried and seems to suggest to his daughter that they should leave. The daughter begins trying to explain why they have to leave right away. What would you tell the patient and his daughter to help them feel comfortable staying for treatment?

    **INSTRUCTIONS:**

    · Your initial post should be at least 500 words, formatted and cited in current APA style with support from at least 2 academic sources.  Your initial post is worth 8 points.

    · Please include introduction and conclusion paragraphs

    · Please write in paragraph form, no bullet points

    · Incorporate a minimum of 2 current (published within the last five years) scholarly journal articles or primary legal sources (statutes, court opinions) within your work. Journal articles should be referenced according to the current APA style (the online library has an abbreviated version of the APA Manual).

    · Please ensure APA formatting is correct

    PLEASE SEE RUBRIC BELOW FOR SCORE OF 10 POINTS

    ![A screenshot of a white sheet AI-generated content may be incorrect.](https://www.sweetstudy.com/questions/nur509w6)

    ## image1.png

  • [Solved] Eassy

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    I need short easy of about 4 question> limit 190 word per questions

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    Assignment Prompt & Instructions

    I need short easy of about 4 question> limit 190 word per questions

  • [Solved] NUR509CLW6

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    – ## NUR509CLW6.docx **## NUR509CLW6.docx** **DISCUSSION:** Describe your clinical experience for this week. · Did you face any challenges, any success? If so, what were they? · Describe the assessment of a patient, detailing the signs and symptoms (S&S), assessment, plan of care, and at least 3 pos…

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    – ## NUR509CLW6.docx

    **## NUR509CLW6.docx**

    **DISCUSSION:**

    Describe your clinical experience for this week.

    · Did you face any challenges, any success? If so, what were they?

    · Describe the assessment of a patient, detailing the signs and symptoms (S&S), assessment, plan of care, and at least 3 possible differential diagnosis with rationales
    **. (LUMBAR BACK PAIN)**

    · Mention the health promotion intervention for this patient.

    · What did you learn from this week's clinical experience that can beneficial for you as an advanced practice nurse?

    · Support your plan of care with the current peer-reviewed research guideline.

    **INSTRUCTIONS:**

    · Your initial post should be at least 500 words, formatted and cited in current APA style with support from at least 2 academic sources.  Your initial post is worth 8 points.

    · Please include introduction and conclusion paragraphs

    · Please write in paragraph form, no bullet points

    · Incorporate a minimum of 2 current (published within the last five years) scholarly journal articles or primary legal sources (statutes, court opinions) within your work. Journal articles should be referenced according to the current APA style (the online library has an abbreviated version of the APA Manual).

    · Please ensure APA formatting is correct

    PLEASE SEE RUBRIC BELOW FOR SCORE OF 10 POINTS

    ![A screenshot of a white sheet AI-generated content may be incorrect.](https://www.sweetstudy.com/questions/nur509clw6)

    ## image1.png

    **## NUR509CLW6.docx**

    **DISCUSSION:**

    Describe your clinical experience for this week.

    · Did you face any challenges, any success? If so, what were they?

    · Describe the assessment of a patient, detailing the signs and symptoms (S&S), assessment, plan of care, and at least 3 possible differential diagnosis with rationales
    **. (LUMBAR BACK PAIN)**

    · Mention the health promotion intervention for this patient.

    · What did you learn from this week's clinical experience that can beneficial for you as an advanced practice nurse?

    · Support your plan of care with the current peer-reviewed research guideline.

    **INSTRUCTIONS:**

    · Your initial post should be at least 500 words, formatted and cited in current APA style with support from at least 2 academic sources.  Your initial post is worth 8 points.

    · Please include introduction and conclusion paragraphs

    · Please write in paragraph form, no bullet points

    · Incorporate a minimum of 2 current (published within the last five years) scholarly journal articles or primary legal sources (statutes, court opinions) within your work. Journal articles should be referenced according to the current APA style (the online library has an abbreviated version of the APA Manual).

    · Please ensure APA formatting is correct

    PLEASE SEE RUBRIC BELOW FOR SCORE OF 10 POINTS

    ![A screenshot of a white sheet AI-generated content may be incorrect.](https://www.sweetstudy.com/questions/nur509clw6)

    ## image1.png

  • [Solved] Computer Science Homework 2

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    – ## MMIS671_homework21.docx – hw2-1.q2.data1.zip **## MMIS671_homework21.docx** **Homework 2.** **Question 1. Decision Tree Classifier [10 Points]** Data: The zip file “ _hw2.q1.data.zip_” contains 3 CSV files: · “ _hw2.q1.train.csv_” contains 10,000 rows and 26 columns. The first column ‘ _y_’…

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    Assignment Prompt & Instructions

    – ## MMIS671_homework21.docx

    – hw2-1.q2.data1.zip

    **## MMIS671_homework21.docx**

    **Homework 2.**

    **Question 1. Decision Tree Classifier [10 Points]**

    Data: The zip file “
    _hw2.q1.data.zip_” contains 3 CSV files:

    · “
    _hw2.q1.train.csv_” contains 10,000 rows and 26 columns. The first column ‘
    _y_’ is the output variable with 2 classes: 0, 1. The remaining 25 columns contain input features:
    _x_1_, …, x
    __25_.

    · “
    _hw2.q1.test.csv_” contains 2,000 rows and 26 columns. The first column ‘
    _y_’ is the output variable with 2 classes: 0, 1. The remaining 25 columns contain input features:
    _x_1_, …, x
    __25_.

    · “
    _hw2.q1.new.csv_” contains 30 rows and 26 columns. The first column ‘
    _ID_’ is an identifier for 30 unlabeled samples. The remaining 25 columns contain input features:
    _x_1_, …, x
    __25_.

    **Task 1**. [4 points]

    Use 5-fold cross-validation with the 10,000 labeled exampled from “
    _hw2.q1.train.csv_” to determine the fewest number of rules using which a decision tree classifier can achieve mean cross-validation accuracy of at least 0.96. Report the number of rules needed, the cross-validation accuracy obtained, and all the hyper-parameter values for the
    _DecisionTreeClassifier_.

    _Fewest number of rules needed_: ………………. (to achieve mean cross-validation accuracy of at least 0.96)

    _Mean cross-validation accuracy: ………………………._(
    _rounded to 4 decimal places_)

    _Non-default hHyper-parameter values for selected DecisionTreeClassifier model:_

    **Task 2**. [2 Points]

    Train a
    _DecisionTreeClassifier_ with the hyper-parameter values determined in Task 1 on all 10,000 training samples and use it to predict the output class ‘
    _y_’ for the 2,000 examples in “
    _hw2.q1.test.csv_”
    _._ Report the following:

    ·
    _Accuracy on 2,000 test examples_: …………………… (rounded to 4 decimal places)

    ·
    _Classification report_ for the 2,000 test examples:

    ·
    _Confusion matrix_ for the 2,000 test examples:

    **Task 3.**[2 Points]

    Use the model trained in Task 2 to predict the output class ‘
    _y’_ for the 30 examples in “
    _hw2.q1.new.csv_”. Specify the predicted classes in the table below:

    | | |
    | — | — |
    | ID | predicted y |
    | 1 | |
    | 2 | |
    | 3 | |
    | 4 | |
    | 5 | |
    | 6 | |
    | 7 | |
    | 8 | |
    | 9 | |
    | 10 | |
    | 11 | |
    | 12 | |
    | 13 | |
    | 14 | |
    | 15 | |
    | 16 | |
    | 17 | |
    | 18 | |
    | 19 | |
    | 20 | |
    | 21 | |
    | 22 | |
    | 23 | |
    | 24 | |
    | 25 | |
    | 26 | |
    | 27 | |
    | 28 | |
    | 29 | |
    | 30 | |

    **Task 4.**[2 Points]

    Of the 25 input variables which ones are relevant for this classification task?

    The following … input variables are relevant for this classification task: …………………

    Display your trained decision tree:

    **Question 2. Supervised machine learning classifiers [10 Points]**

    Data: The zip file “
    _hw2.q2.data.zip_” contains 3 CSV files:

    · “
    _hw2.q2.train.csv_” contains 8,000 rows and 11 columns. The first column ‘
    _y_’ is the output variable with 4 classes: 0, 1, 2, 3. The remaining 10 columns contain input features:
    _x1_, …, x
    _10_.

    · “
    _hw2.q2.test.csv_” contains 2,000 rows and 11 columns. The first column ‘
    _y_’ is the output variable with 4 classes: 0, 1, 2, 3. The remaining 10 columns contain input features:
    _x1_, …, x
    _10_.

    · “
    _hw2.q1.new.csv_” contains 30 rows and 10 columns. The first column ‘
    _ID_’ is an identifier for 30 unlabeled samples. The remaining 10 columns contain input features:
    _x1_, …, x
    _10_.

    **Task 1**. [6 points]

    Use 4-fold cross-validation with the 8,000 labeled exampled from “
    _hw2.q2.train.csv_” to identify a classifier that achieves mean cross-validation accuracy of at least 0.96. You should try several
    _Scikit-Learn_ classifiers, including:
    _GaussianNB, DecisionTreeClassifier, RandomForestClassifier, ExtraTreesClassifier, KNeighborsClassifier, LogisticRegression, SVC, and MLPClassifier_. Try different hyper-parameter values for the better performing classifiers to obtain a good set of hyper-parameter values. Then select the best performing model. Report the following:

    **_Selected model with hyper-parameter values_** _:_

    _Mean cross-validation accuracy: ………………………._(
    _rounded to 4 decimal places_)

    **Task 2**. [2 Points]

    Train the classifier with the hyper-parameter values determined in Task 1 on all 8,000 training samples and use it to predict the output class ‘
    _y_’ for the 2,000 examples in “
    _hw2.q2.test.csv_”
    _._ Report the following:

    ·
    _Accuracy on 2,000 test examples_: …………………… (rounded to 4 decimal places)

    ·
    _Classification report_ for the 2,000 test examples:

    ·
    _Confusion matrix_ for the 2,000 test examples:

    **Task 3.**[2 Points]

    Use the model trained in Task 2 to predict the output class ‘
    _y’_ for the 30 examples in “
    _hw2.q2.new.csv_”. Specify the predicted classes in the table below:

    | | |
    | — | — |
    | ID | predicted y |
    | ID_001 | |
    | ID_002 | |
    | ID_003 | |
    | ID_004 | |
    | ID_005 | |
    | ID_006 | |
    | ID_007 | |
    | ID_008 | |
    | ID_009 | |
    | ID_010 | |
    | ID_011 | |
    | ID_012 | |
    | ID_013 | |
    | ID_014 | |
    | ID_015 | |
    | ID_016 | |
    | ID_017 | |
    | ID_018 | |
    | ID_019 | |
    | ID_020 | |
    | ID_021 | |
    | ID_022 | |
    | ID_023 | |
    | ID_024 | |
    | ID_025 | |
    | ID_026 | |
    | ID_027 | |
    | ID_028 | |
    | ID_029 | |
    | ID_030 | |

    **hw2-1.q2.data1.zip**

    This file is too large to display. [View in new window](https://www.sweetstudy.com/files/hw2-1-q2-data1-zip)

    **hw2-1.q2.data1.zip**

    This file is too large to display. [View in new window](https://www.sweetstudy.com/files/hw2-1-q2-data1-zip)

    **## MMIS671_homework21.docx**

    **Homework 2.**

    **Question 1. Decision Tree Classifier [10 Points]**

    Data: The zip file “
    _hw2.q1.data.zip_” contains 3 CSV files:

    · “
    _hw2.q1.train.csv_” contains 10,000 rows and 26 columns. The first column ‘
    _y_’ is the output variable with 2 classes: 0, 1. The remaining 25 columns contain input features:
    _x_1_, …, x
    __25_.

    · “
    _hw2.q1.test.csv_” contains 2,000 rows and 26 columns. The first column ‘
    _y_’ is the output variable with 2 classes: 0, 1. The remaining 25 columns contain input features:
    _x_1_, …, x
    __25_.

    · “
    _hw2.q1.new.csv_” contains 30 rows and 26 columns. The first column ‘
    _ID_’ is an identifier for 30 unlabeled samples. The remaining 25 columns contain input features:
    _x_1_, …, x
    __25_.

    **Task 1**. [4 points]

    Use 5-fold cross-validation with the 10,000 labeled exampled from “
    _hw2.q1.train.csv_” to determine the fewest number of rules using which a decision tree classifier can achieve mean cross-validation accuracy of at least 0.96. Report the number of rules needed, the cross-validation accuracy obtained, and all the hyper-parameter values for the
    _DecisionTreeClassifier_.

    _Fewest number of rules needed_: ………………. (to achieve mean cross-validation accuracy of at least 0.96)

    _Mean cross-validation accuracy: ………………………._(
    _rounded to 4 decimal places_)

    _Non-default hHyper-parameter values for selected DecisionTreeClassifier model:_

    **Task 2**. [2 Points]

    Train a
    _DecisionTreeClassifier_ with the hyper-parameter values determined in Task 1 on all 10,000 training samples and use it to predict the output class ‘
    _y_’ for the 2,000 examples in “
    _hw2.q1.test.csv_”
    _._ Report the following:

    ·
    _Accuracy on 2,000 test examples_: …………………… (rounded to 4 decimal places)

    ·
    _Classification report_ for the 2,000 test examples:

    ·
    _Confusion matrix_ for the 2,000 test examples:

    **Task 3.**[2 Points]

    Use the model trained in Task 2 to predict the output class ‘
    _y’_ for the 30 examples in “
    _hw2.q1.new.csv_”. Specify the predicted classes in the table below:

    | | |
    | — | — |
    | ID | predicted y |
    | 1 | |
    | 2 | |
    | 3 | |
    | 4 | |
    | 5 | |
    | 6 | |
    | 7 | |
    | 8 | |
    | 9 | |
    | 10 | |
    | 11 | |
    | 12 | |
    | 13 | |
    | 14 | |
    | 15 | |
    | 16 | |
    | 17 | |
    | 18 | |
    | 19 | |
    | 20 | |
    | 21 | |
    | 22 | |
    | 23 | |
    | 24 | |
    | 25 | |
    | 26 | |
    | 27 | |
    | 28 | |
    | 29 | |
    | 30 | |

    **Task 4.**[2 Points]

    Of the 25 input variables which ones are relevant for this classification task?

    The following … input variables are relevant for this classification task: …………………

    Display your trained decision tree:

    **Question 2. Supervised machine learning classifiers [10 Points]**

    Data: The zip file “
    _hw2.q2.data.zip_” contains 3 CSV files:

    · “
    _hw2.q2.train.csv_” contains 8,000 rows and 11 columns. The first column ‘
    _y_’ is the output variable with 4 classes: 0, 1, 2, 3. The remaining 10 columns contain input features:
    _x1_, …, x
    _10_.

    · “
    _hw2.q2.test.csv_” contains 2,000 rows and 11 columns. The first column ‘
    _y_’ is the output variable with 4 classes: 0, 1, 2, 3. The remaining 10 columns contain input features:
    _x1_, …, x
    _10_.

    · “
    _hw2.q1.new.csv_” contains 30 rows and 10 columns. The first column ‘
    _ID_’ is an identifier for 30 unlabeled samples. The remaining 10 columns contain input features:
    _x1_, …, x
    _10_.

    **Task 1**. [6 points]

    Use 4-fold cross-validation with the 8,000 labeled exampled from “
    _hw2.q2.train.csv_” to identify a classifier that achieves mean cross-validation accuracy of at least 0.96. You should try several
    _Scikit-Learn_ classifiers, including:
    _GaussianNB, DecisionTreeClassifier, RandomForestClassifier, ExtraTreesClassifier, KNeighborsClassifier, LogisticRegression, SVC, and MLPClassifier_. Try different hyper-parameter values for the better performing classifiers to obtain a good set of hyper-parameter values. Then select the best performing model. Report the following:

    **_Selected model with hyper-parameter values_** _:_

    _Mean cross-validation accuracy: ………………………._(
    _rounded to 4 decimal places_)

    **Task 2**. [2 Points]

    Train the classifier with the hyper-parameter values determined in Task 1 on all 8,000 training samples and use it to predict the output class ‘
    _y_’ for the 2,000 examples in “
    _hw2.q2.test.csv_”
    _._ Report the following:

    ·
    _Accuracy on 2,000 test examples_: …………………… (rounded to 4 decimal places)

    ·
    _Classification report_ for the 2,000 test examples:

    ·
    _Confusion matrix_ for the 2,000 test examples:

    **Task 3.**[2 Points]

    Use the model trained in Task 2 to predict the output class ‘
    _y’_ for the 30 examples in “
    _hw2.q2.new.csv_”. Specify the predicted classes in the table below:

    | | |
    | — | — |
    | ID | predicted y |
    | ID_001 | |
    | ID_002 | |
    | ID_003 | |
    | ID_004 | |
    | ID_005 | |
    | ID_006 | |
    | ID_007 | |
    | ID_008 | |
    | ID_009 | |
    | ID_010 | |
    | ID_011 | |
    | ID_012 | |
    | ID_013 | |
    | ID_014 | |
    | ID_015 | |
    | ID_016 | |
    | ID_017 | |
    | ID_018 | |
    | ID_019 | |
    | ID_020 | |
    | ID_021 | |
    | ID_022 | |
    | ID_023 | |
    | ID_024 | |
    | ID_025 | |
    | ID_026 | |
    | ID_027 | |
    | ID_028 | |
    | ID_029 | |
    | ID_030 | |

    **hw2-1.q2.data1.zip**

    This file is too large to display. [View in new window](https://www.sweetstudy.com/files/hw2-1-q2-data1-zip)

    **## MMIS671_homework21.docx**

    **Homework 2.**

    **Question 1. Decision Tree Classifier [10 Points]**

    Data: The zip file “
    _hw2.q1.data.zip_” contains 3 CSV files:

    · “
    _hw2.q1.train.csv_” contains 10,000 rows and 26 columns. The first column ‘
    _y_’ is the output variable with 2 classes: 0, 1. The remaining 25 columns contain input features:
    _x_1_, …, x
    __25_.

    · “
    _hw2.q1.test.csv_” contains 2,000 rows and 26 columns. The first column ‘
    _y_’ is the output variable with 2 classes: 0, 1. The remaining 25 columns contain input features:
    _x_1_, …, x
    __25_.

    · “
    _hw2.q1.new.csv_” contains 30 rows and 26 columns. The first column ‘
    _ID_’ is an identifier for 30 unlabeled samples. The remaining 25 columns contain input features:
    _x_1_, …, x
    __25_.

    **Task 1**. [4 points]

    Use 5-fold cross-validation with the 10,000 labeled exampled from “
    _hw2.q1.train.csv_” to determine the fewest number of rules using which a decision tree classifier can achieve mean cross-validation accuracy of at least 0.96. Report the number of rules needed, the cross-validation accuracy obtained, and all the hyper-parameter values for the
    _DecisionTreeClassifier_.

    _Fewest number of rules needed_: ………………. (to achieve mean cross-validation accuracy of at least 0.96)

    _Mean cross-validation accuracy: ………………………._(
    _rounded to 4 decimal places_)

    _Non-default hHyper-parameter values for selected DecisionTreeClassifier model:_

    **Task 2**. [2 Points]

    Train a
    _DecisionTreeClassifier_ with the hyper-parameter values determined in Task 1 on all 10,000 training samples and use it to predict the output class ‘
    _y_’ for the 2,000 examples in “
    _hw2.q1.test.csv_”
    _._ Report the following:

    ·
    _Accuracy on 2,000 test examples_: …………………… (rounded to 4 decimal places)

    ·
    _Classification report_ for the 2,000 test examples:

    ·
    _Confusion matrix_ for the 2,000 test examples:

    **Task 3.**[2 Points]

    Use the model trained in Task 2 to predict the output class ‘
    _y’_ for the 30 examples in “
    _hw2.q1.new.csv_”. Specify the predicted classes in the table below:

    | | |
    | — | — |
    | ID | predicted y |
    | 1 | |
    | 2 | |
    | 3 | |
    | 4 | |
    | 5 | |
    | 6 | |
    | 7 | |
    | 8 | |
    | 9 | |
    | 10 | |
    | 11 | |
    | 12 | |
    | 13 | |
    | 14 | |
    | 15 | |
    | 16 | |
    | 17 | |
    | 18 | |
    | 19 | |
    | 20 | |
    | 21 | |
    | 22 | |
    | 23 | |
    | 24 | |
    | 25 | |
    | 26 | |
    | 27 | |
    | 28 | |
    | 29 | |
    | 30 | |

    **Task 4.**[2 Points]

    Of the 25 input variables which ones are relevant for this classification task?

    The following … input variables are relevant for this classification task: …………………

    Display your trained decision tree:

    **Question 2. Supervised machine learning classifiers [10 Points]**

    Data: The zip file “
    _hw2.q2.data.zip_” contains 3 CSV files:

    · “
    _hw2.q2.train.csv_” contains 8,000 rows and 11 columns. The first column ‘
    _y_’ is the output variable with 4 classes: 0, 1, 2, 3. The remaining 10 columns contain input features:
    _x1_, …, x
    _10_.

    · “
    _hw2.q2.test.csv_” contains 2,000 rows and 11 columns. The first column ‘
    _y_’ is the output variable with 4 classes: 0, 1, 2, 3. The remaining 10 columns contain input features:
    _x1_, …, x
    _10_.

    · “
    _hw2.q1.new.csv_” contains 30 rows and 10 columns. The first column ‘
    _ID_’ is an identifier for 30 unlabeled samples. The remaining 10 columns contain input features:
    _x1_, …, x
    _10_.

    **Task 1**. [6 points]

    Use 4-fold cross-validation with the 8,000 labeled exampled from “
    _hw2.q2.train.csv_” to identify a classifier that achieves mean cross-validation accuracy of at least 0.96. You should try several
    _Scikit-Learn_ classifiers, including:
    _GaussianNB, DecisionTreeClassifier, RandomForestClassifier, ExtraTreesClassifier, KNeighborsClassifier, LogisticRegression, SVC, and MLPClassifier_. Try different hyper-parameter values for the better performing classifiers to obtain a good set of hyper-parameter values. Then select the best performing model. Report the following:

    **_Selected model with hyper-parameter values_** _:_

    _Mean cross-validation accuracy: ………………………._(
    _rounded to 4 decimal places_)

    **Task 2**. [2 Points]

    Train the classifier with the hyper-parameter values determined in Task 1 on all 8,000 training samples and use it to predict the output class ‘
    _y_’ for the 2,000 examples in “
    _hw2.q2.test.csv_”
    _._ Report the following:

    ·
    _Accuracy on 2,000 test examples_: …………………… (rounded to 4 decimal places)

    ·
    _Classification report_ for the 2,000 test examples:

    ·
    _Confusion matrix_ for the 2,000 test examples:

    **Task 3.**[2 Points]

    Use the model trained in Task 2 to predict the output class ‘
    _y’_ for the 30 examples in “
    _hw2.q2.new.csv_”. Specify the predicted classes in the table below:

    | | |
    | — | — |
    | ID | predicted y |
    | ID_001 | |
    | ID_002 | |
    | ID_003 | |
    | ID_004 | |
    | ID_005 | |
    | ID_006 | |
    | ID_007 | |
    | ID_008 | |
    | ID_009 | |
    | ID_010 | |
    | ID_011 | |
    | ID_012 | |
    | ID_013 | |
    | ID_014 | |
    | ID_015 | |
    | ID_016 | |
    | ID_017 | |
    | ID_018 | |
    | ID_019 | |
    | ID_020 | |
    | ID_021 | |
    | ID_022 | |
    | ID_023 | |
    | ID_024 | |
    | ID_025 | |
    | ID_026 | |
    | ID_027 | |
    | ID_028 | |
    | ID_029 | |
    | ID_030 | |

    **hw2-1.q2.data1.zip**

    This file is too large to display. [View in new window](https://www.sweetstudy.com/files/hw2-1-q2-data1-zip)

    – 1
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  • [Solved] QSO 321 Module Four Journal Guidelines and Rubric

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    Executive Solution Overview

    ## QSO 321 Module Four Journal Guidelines and Rubric ### Scenario You are the chief operating officer (COO) of a local supermarket chain that has 10 stores within a 100-mile radius. The farm-to-table movement has been gaining momentum locally, and now it is a consumer demand and a good practice. Thi…

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    Assignment Prompt & Instructions

    ## QSO 321 Module Four Journal Guidelines and Rubric
    ### Scenario
    You are the chief operating officer (COO) of a local supermarket chain that has 10 stores within a 100-mile radius. The farm-to-table movement has been gaining momentum locally, and now it is a consumer demand and a good practice. This movement supports the use of local suppliers to limit the environmental impact caused by the long-distance transportation of food. It also supports small family farms that use sustainable practices, such as avoiding genetically modified organisms and pesticides or using organic fertilizers. The chief executive officer (CEO) of the supermarket chain has asked you to see if the supermarket can apply some of the farm-to-table principles to how it selects produce suppliers. Before moving too far in that direction, both you and the CEO agree that the inventory management implications need to be understood.
    Keep in mind that supermarket customers want a wide range of produce all year long—even produce that does not grow locally during parts of the year. For example, oranges cannot survive very cold weather, but local customers expect to be able to buy them even during snowstorms in the winter.
    ### Directions
    For this journal, address the following **rubric criteria**:
    – **Incorporated Farm-to-Table Principles:** Identify different ways the supermarket chain could incorporate farm-to-table principles into its operations while still meeting consumer demands.
    – **Benefits and Risks:** Explain the benefits and risks associated with incorporating farm-to-table principles into the grocery chain’s supply chain.
    – **Data and Communication:** Describe how data and communication with the local farms are necessary for the supermarket to implement this endeavor.
    – **Factors or Metrics:** Identify factors or metrics that will determine whether you, as the COO, will support applying farm-to-table principles to the supermarket and explain why.
    ### What to Submit
    Submit your assignment as a Microsoft Word document with double spacing, 12-point Times New Roman font, and one-inch margins.
    ### Module Four Journal Rubric
    CriteriaExceeds ExpectationsMeets ExpectationsPartially Meets ExpectationsDoes Not Meet ExpectationsValue **Incorporated Farm-to-Table Practices** Exceeds proficiency in an exceptionally clear, insightful, sophisticated, or creative manner by providing examples of different ways the supermarket chain could incorporate farm-to-table principles into its operations while still meeting consumer demandsIdentifies different ways the supermarket chain could incorporate farm-to-table principles into its operations while still meeting consumer demandsIdentifies different ways the supermarket chain could incorporate farm-to-table principles with limited relevant personal experience, previous learning, or logical thought processDoes not attempt to describe different ways the supermarket chain could incorporate farm-to-table principles20 **Benefits and Risks** Exceeds proficiency in an exceptionally clear, insightful, sophisticated, or creative manner by providing examples of benefits and risks associated with incorporating farm-to-table principles into the grocery chain’s supply chainExplains the benefits and risks associated with incorporating farm-to-table principles into the grocery chain’s supply chainExplains while showing limited depth of knowledge, indicating a need to explore the module’s content furtherDoes not attempt to address prompts, reflecting that the module’s content was not read20 **Data and Communication** Exceeds proficiency in an exceptionally clear, insightful, sophisticated, or creative manner by providing examples of how data and communication with the local farms are necessary for the supermarket to implement this endeavorDescribes how data and communication with the local farms are necessary for the supermarket to implement this endeavorDescribes some means of communication with limited detail, demonstrating limited incorporation of the module’s contentDoes not attempt to explain the means of communication20 **Factors or Metrics** Exceeds proficiency in an exceptionally clear, insightful, sophisticated, or creative manner by providing examples of factors or metrics that will determine support for applying farm-to-table principles to the supermarket while explaining whyIdentifies factors or metrics that will determine support for applying farm-to-table principles to the supermarket and explains whyIdentifies some factors or metrics with limited detail demonstrating limited incorporation of the module’s contentDoes not attempt to identify factors or metrics20 **Clear Communication** Exceeds expectations with an intentional use of language that promotes a thorough understandingConsistently and effectively communicates in an organized way to a specific audienceShows progress toward meeting expectations, but communication is inconsistent or ineffective in a way that negatively impacts understandingShows no evidence of consistent, effective, or organized communication20 **Total:** 100%

  • [Solved] Business Finance – Management QSO 321 Module Four Assignment Guidelines and Rubric

    ✓ Verified Academic Solution Available

    Executive Solution Overview

    ## QSO 321 Module Four Assignment Guidelines and Rubric ### Overview In this assignment, you will apply what you have learned about key concepts regarding operations management. You are encouraged to leverage your work and instructor feedback on this assignment in your course project, which is due i…

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    Assignment Prompt & Instructions

    ## QSO 321 Module Four Assignment Guidelines and Rubric
    ### Overview
    In this assignment, you will apply what you have learned about key concepts regarding operations management. You are encouraged to leverage your work and instructor feedback on this assignment in your course project, which is due in Module Seven.
    ### Scenario
    You are the chief supply chain officer at NationaliTeas, a large international corporation that manufactures and sells tea worldwide. Its mission is to “Make the world more awake through rejuvenating and refreshing beverages and sustainable practices that uplift workers, communities, and souls.” You have recently hired the company’s first project manager and assigned their first project: Revise workflows in use related to packaging at one of your tea factories to be more sustainable and leaner. As this is their first project, you will be helping them complete the task.
    ### Directions
    Read the Project Charter for Workflow Improvement, then review the Process Workflow for Tea Production graphic. These documents are linked below under Supporting Materials. A text-only version is available: Process Workflow for Tea Production Text-Only Version. Based on these documents, recommend removing a total of **four** steps from the process flowchart that can help make the process more efficient and sustainable. Explain the implications of the proposed changes and then help the NationaliTeas team address existing items in the Issue Log located in the project charter.
    Specifically, you must address the following **rubric criteria**:
    – **Lean Manufacturing**: Evaluate the process flowchart to identify steps that do not add value based on the principles of lean manufacturing. Explain why you selected each step.
    – **Sustainability**: Evaluate the process flowchart and identify steps that should be removed or changed to improve environmental sustainability. Explain why you selected each step.
    – **Process Changes**: Explain the implications, both positive and negative, of removing or changing the steps from the process flowchart you identified in the previous two bullet points. Also, explain how those changes would help alignment to the triple bottom line (TBL).
    – **Issue Log:** Analyze all entries in the Issue Log from a project manager's perspective. Explain the recommended course of action based on the project charter, noting the impact of the issue on scope, planning communications, and resourcing.
    – **Operations Management Techniques**: Discuss how operations management techniques, including project management and lean manufacturing, can add value to the organization, NationaliTeas.
    ### What to Submit
    Submit this assignment as a 350- to 500-word Microsoft Word document. Sources should be cited according to APA style.
    ### Supporting Materials
    The following resources support your work on the project:
    – [Project Charter for Workflow Improvement](https://learn.snhu.edu/content/enforced/2027639-QSO-321-14604.202581-1/Course%20Documents/QSO%20321%20Project%20Charter%20for%20Workflow%20Process%20Improvement.docx?isCourseFile=true&ou=2027639)
    – [Process Workflow for Tea Production](https://learn.snhu.edu/content/enforced/2027639-QSO-321-14604.202581-1/Course%20Documents/QSO%20321%20Process%20Workflow%20for%20Tea%20Production.pdf?isCourseFile=true&ou=2027639)
    – [Process Workflow for Tea Production Text-Only Version](https://learn.snhu.edu/content/enforced/2027639-QSO-321-14604.202581-1/Course%20Documents/QSO%20321%20Process%20Workflow%20for%20Tea%20Production%20Text-Only%20Version.docx?isCourseFile=true&ou=2027639)
    ### Module Four Assignment Rubric
    CriteriaExceeds Expectations (100%)Meets Expectations (85%)Partially Meets Expectations (55%)Does Not Meet Expectations (0%)Value **Lean Manufacturing** Exceeds expectations in an exceptionally clear, insightful, sophisticated, or creative mannerIdentifies steps in the process flowchart that do not add value based on the principles of lean manufacturingShows progress toward meeting expectations, but with errors or omissions; areas for improvement may include identifying more appropriate steps to remove or change based on lean manufacturing principles and product needsDoes not attempt criterion20 **Sustainability** Exceeds expectations in an exceptionally clear, insightful, sophisticated, or creative mannerIdentifies steps from the process flowchart that should be removed or changed to improve environmental sustainability basedShows progress toward meeting expectations, but with errors or omissions; areas for improvement may include identifying more appropriate steps to remove or change based on environmentally friendly practices such as reducing waste or conserving water or energyDoes not attempt criterion20 **Process Changes** Exceeds expectations in an exceptionally clear, insightful, sophisticated, or creative mannerExplains the implications, both positive and negative, of removing or changing the identified steps from the process flowchart and how they would help alignment to the TBLShows progress toward meeting expectations, but with errors or omissions; areas for improvement may include adding additional relevant details and examples to support the explanations or greater focus on alignment to the TBLDoes not attempt criterion20 **Issue Log** Exceeds expectations in an exceptionally clear, insightful, sophisticated, or creative mannerExplains the recommended course of action for each item listed in the Issue Log, noting the impact of the issue on scope, planning communications, and resourcing based on the identified changes to the process flowchart and the project charterShows progress toward meeting expectations, but with errors or omissions; areas for improvement may include applying project management concepts to justify the next steps a project manager should take when facing the issues in the Issue LogDoes not attempt criterion20 **Operations Management Techniques** Exceeds expectations in an exceptionally clear, insightful, sophisticated, or creative mannerDiscusses how operations management techniques, including project management and lean manufacturing, can add value to the organizationShows progress toward meeting expectations, but with errors or omissions; areas for improvement may include adding further examples or explanations that support how operational management techniques can support the organizationDoes not attempt criterion10 **Clear Communication** Exceeds expectations with an intentional use of language that promotes a thorough understandingConsistently and effectively communicates in an organized way to a specific audienceShows progress toward meeting expectations, but communication is inconsistent or ineffective in a way that negatively impacts understandingShows no evidence of consistent, effective, or organized communication5 **Citations and Attributions** Uses citations for ideas requiring attribution, with few or no minor errorsUses citations for ideas requiring attribution, with consistent minor errorsUses citations for ideas requiring attribution, with major errorsDoes not use citations for ideas requiring attribution5 **Total:** 100%
    \
    QSO321ProjectCharterforWorkflowProcessImprovement.docx](https://www.sweetstudy.com/files/qso321projectcharterforworkflowprocessimprovement-docx-10410403 "QSO321ProjectCharterforWorkflowProcessImprovement.docx")
    \
    QSO321ProcessWorkflowforTeaProductionText-OnlyVersion.docx](https://www.sweetstudy.com/files/qso321processworkflowforteaproductiontext-onlyversion-docx-10410405 "QSO321ProcessWorkflowforTeaProductionText-OnlyVersion.docx")