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BELOW are the two web pages i created , how to create USE case diagram and state machine diagram using uml based on the below attached photos 2page small project ?

BELOW are the two web pages i created , how to create USE case diagram and state machine diagram using uml based on the below attached photos 2page small project ?

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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BELOW are the two web pages i created , how to create USE case diagram and state machine diagram using uml  based on the below attached photos 2page small project ?

Home Prediction 200 150 Welcome to our House Price Prediction Website House Price Prediction Please select the following options to predict the house price Rating Very Excellent Zoning Туре Commercial About Building Туре 1-STORY 1946 & NEWER ALL STYLES This house price prediction website helps users determine the sale price of a house and can help the customer decide the best-suited type of house to be purchased. Some factors that have been chosen in this application to predict the best house's selling price are the rating given by the reviewers; the type of zone based on the user's purpose; the type of building based on the user's Bedroom 1 Bathroom 9. 7 8. 306,000 425,000 963,000 837,000 1 307,000 879,000 156,000 638,000 Toilets comfort; the number of bedrooms required; the number of bathrooms; the 66,000 number of individual toilets; and other required utilities. The three models 426,000 337,000 25,000 206,000 759,000 have been chosen in this application to predict price and the relevant trend o 382,000 775,000 Utilities based on any one of the seven factors. They are the Lasso Regression, Ridge 945,00 876,000 Regression, and ElasticNet Regression models. 672,0 All public Utilities (E, G,W,& S) 504,000 851,000 47, 301,000 716,000 461 00 When the user clicks the Predict button after selecting the options from the 1,000 553,000 67 dropdowns, the user will be directed to the prediction page to see the best- predicted price, which is the average of all three model predictions and shows the details of the individual predictions of those models. 635,000 726,000 910,000 98,000 923,000 357,000 5,000 000'S 948,000 150,000 621,000 201,000 © UOW Capstone Group Project 2021-2022 767,000 624,000 /131,000 653.000 S14,000 406,000 215,000 169,000 173,000 696,000 Predict 123,000 401,000 20.000 618,000 605,000 833,000 740,000 419,000 383,000 522,000 488000 31600 6100 252,000 830,0 209,000 625,000 692 bo 43 322,000 39 325,000 616,000 680,000 000 293,000 85,000 996000 576,000 ,000 902,000 722,000 626,000 82,000 653,000 56,000 438.000 323,000 22,000 463,000 276,000 154,000 05.000 15,000 >
Transcribed Image Text:Home Prediction 200 150 Welcome to our House Price Prediction Website House Price Prediction Please select the following options to predict the house price Rating Very Excellent Zoning Туре Commercial About Building Туре 1-STORY 1946 & NEWER ALL STYLES This house price prediction website helps users determine the sale price of a house and can help the customer decide the best-suited type of house to be purchased. Some factors that have been chosen in this application to predict the best house's selling price are the rating given by the reviewers; the type of zone based on the user's purpose; the type of building based on the user's Bedroom 1 Bathroom 9. 7 8. 306,000 425,000 963,000 837,000 1 307,000 879,000 156,000 638,000 Toilets comfort; the number of bedrooms required; the number of bathrooms; the 66,000 number of individual toilets; and other required utilities. The three models 426,000 337,000 25,000 206,000 759,000 have been chosen in this application to predict price and the relevant trend o 382,000 775,000 Utilities based on any one of the seven factors. They are the Lasso Regression, Ridge 945,00 876,000 Regression, and ElasticNet Regression models. 672,0 All public Utilities (E, G,W,& S) 504,000 851,000 47, 301,000 716,000 461 00 When the user clicks the Predict button after selecting the options from the 1,000 553,000 67 dropdowns, the user will be directed to the prediction page to see the best- predicted price, which is the average of all three model predictions and shows the details of the individual predictions of those models. 635,000 726,000 910,000 98,000 923,000 357,000 5,000 000'S 948,000 150,000 621,000 201,000 © UOW Capstone Group Project 2021-2022 767,000 624,000 /131,000 653.000 S14,000 406,000 215,000 169,000 173,000 696,000 Predict 123,000 401,000 20.000 618,000 605,000 833,000 740,000 419,000 383,000 522,000 488000 31600 6100 252,000 830,0 209,000 625,000 692 bo 43 322,000 39 325,000 616,000 680,000 000 293,000 85,000 996000 576,000 ,000 902,000 722,000 626,000 82,000 653,000 56,000 438.000 323,000 22,000 463,000 276,000 154,000 05.000 15,000 >
Home Prediction House Price Prediction The best predicted sales price $ 228, 706.18 sales rice vatings This histogram obtained from the Lasso regression model is hased on the selected attributes such as rating given by the reviewers, Eype of zone based on the user's purpose, type of the building based on the user's comfort, mumber of bedrooms required, number of bathrooms required, numbeE of individual toilets required, and other required utilities The predicted sale price of the selected house from this model is $ 243,030.47. so Trend from Lasso Regression model on Sales Price Sales Price vs. Ratings This histogram obtained from the ElasticNet regression model is based on the selected attributes such as rating given by the 200000 reviewers, type of zone based on the user's purpose, type of the building based on the user's comfort, number of bedrooms required, number of bathrooms required, number of individual 150000 toilets required, and other required utilities. The predicted sale price of the selected house from this model is $ 198,962.75. 100000 50000 10 Ratings Trend from ElasticNet Regression model on Sales Price Sales Price vs. Rating This histogram obtained from the Ridge regression model is based on the sclected attributes such as rating given by the reviewers, type of zone based on the user's purpose, type of the building based on the user's comfort, number of bedrooms required, number of bathrooms required, number of individual toilets required, and other required utilities. 200000 150000 The predicted sale price of the selected house from this model is S 243,525.33. Rating Trend from Ridge Regression model on Sales Price Back
Transcribed Image Text:Home Prediction House Price Prediction The best predicted sales price $ 228, 706.18 sales rice vatings This histogram obtained from the Lasso regression model is hased on the selected attributes such as rating given by the reviewers, Eype of zone based on the user's purpose, type of the building based on the user's comfort, mumber of bedrooms required, number of bathrooms required, numbeE of individual toilets required, and other required utilities The predicted sale price of the selected house from this model is $ 243,030.47. so Trend from Lasso Regression model on Sales Price Sales Price vs. Ratings This histogram obtained from the ElasticNet regression model is based on the selected attributes such as rating given by the 200000 reviewers, type of zone based on the user's purpose, type of the building based on the user's comfort, number of bedrooms required, number of bathrooms required, number of individual 150000 toilets required, and other required utilities. The predicted sale price of the selected house from this model is $ 198,962.75. 100000 50000 10 Ratings Trend from ElasticNet Regression model on Sales Price Sales Price vs. Rating This histogram obtained from the Ridge regression model is based on the sclected attributes such as rating given by the reviewers, type of zone based on the user's purpose, type of the building based on the user's comfort, number of bedrooms required, number of bathrooms required, number of individual toilets required, and other required utilities. 200000 150000 The predicted sale price of the selected house from this model is S 243,525.33. Rating Trend from Ridge Regression model on Sales Price Back
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