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 ? HomePrediction200150Welcome to our House Price Prediction WebsiteHouse Price PredictionPlease select the following options to predict the house priceRatingVery ExcellentZoningТуреCommercialAboutBuildingТуре1-STORY 1946 & NEWER ALL STYLESThis house price prediction website helps users determine the sale price of ahouse and can help the customer decide the best-suited type of house to bepurchased. Some factors that have been chosen in this application to predictthe best house's selling price are the rating given by the reviewers; the typeof zone based on the user's purpose; the type of building based on the user'sBedroom1Bathroom9.78.306,000425,000963,000837,0001307,000879,000156,000638,000Toiletscomfort; the number of bedrooms required; the number of bathrooms; the66,000number of individual toilets; and other required utilities. The three models426,000337,00025,000206,000759,000have been chosen in this application to predict price and the relevant trend o382,000775,000Utilitiesbased on any one of the seven factors. They are the Lasso Regression, Ridge945,00876,000Regression, and ElasticNet Regression models.672,0All public Utilities (E, G,W,& S)504,000851,00047,301,000716,00046100When the user clicks the Predict button after selecting the options from the1,000553,00067dropdowns, the user will be directed to the prediction page to see the best-predicted price, which is the average of all three model predictions andshows the details of the individual predictions of those models.635,000726,000910,00098,000923,000357,0005,000000'S948,000150,000621,000201,000© UOW Capstone Group Project 2021-2022767,000624,000/131,000653.000S14,000406,000215,000169,000173,000696,000Predict123,000401,00020.000618,000605,000833,000740,000419,000383,000522,000488000316006100252,000830,0209,000625,000692bo43322,00039325,000616,000680,000000293,00085,000996000576,000,000902,000722,000626,00082,000653,00056,000438.000323,00022,000463,000276,000154,00005.00015,000 HomePredictionHouse Price PredictionThe best predicted sales price$ 228, 706.18sales rice vatingsThis histogram obtained from the Lasso regression model is hasedon the selected attributes such as rating given by the reviewers,Eype of zone based on the user's purpose, type of the buildingbased on the user's comfort, mumber of bedrooms required,number of bathrooms required, numbeE of individual toiletsrequired, and other required utilitiesThe predicted sale price of the selected house from this model is$ 243,030.47.soTrend from Lasso Regression model on Sales PriceSales Price vs. RatingsThis histogram obtained from the ElasticNet regression model isbased on the selected attributes such as rating given by the200000reviewers, type of zone based on the user's purpose, type of thebuilding based on the user's comfort, number of bedroomsrequired, number of bathrooms required, number of individual150000toilets required, and other required utilities.The predicted sale price of the selected house from this model is$ 198,962.75.1000005000010RatingsTrend from ElasticNet Regression model on Sales PriceSales Price vs. RatingThis histogram obtained from the Ridge regression model is basedon the sclected attributes such as rating given by the reviewers,type of zone based on the user's purpose, type of the buildingbased on the user's comfort, number of bedrooms required,number of bathrooms required, number of individual toiletsrequired, and other required utilities.200000150000The predicted sale price of the selected house from this model isS 243,525.33.RatingTrend from Ridge Regression model on Sales PriceBack

Question

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 ? HomePrediction200150Welcome to our House Price Prediction WebsiteHouse Price PredictionPlease select the following options to predict the house priceRatingVery ExcellentZoningТуреCommercialAboutBuildingТуре1-STORY 1946 & NEWER ALL STYLESThis house price prediction website helps users determine the sale price of ahouse and can help the customer decide the best-suited type of house to bepurchased. Some factors that have been chosen in this application to predictthe best house's selling price are the rating given by the reviewers; the typeof zone based on the user's purpose; the type of building based on the user'sBedroom1Bathroom9.78.306,000425,000963,000837,0001307,000879,000156,000638,000Toiletscomfort; the number of bedrooms required; the number of bathrooms; the66,000number of individual toilets; and other required utilities. The three models426,000337,00025,000206,000759,000have been chosen in this application to predict price and the relevant trend o382,000775,000Utilitiesbased on any one of the seven factors. They are the Lasso Regression, Ridge945,00876,000Regression, and ElasticNet Regression models.672,0All public Utilities (E, G,W,& S)504,000851,00047,301,000716,00046100When the user clicks the Predict button after selecting the options from the1,000553,00067dropdowns, the user will be directed to the prediction page to see the best-predicted price, which is the average of all three model predictions andshows the details of the individual predictions of those models.635,000726,000910,00098,000923,000357,0005,000000'S948,000150,000621,000201,000© UOW Capstone Group Project 2021-2022767,000624,000/131,000653.000S14,000406,000215,000169,000173,000696,000Predict123,000401,00020.000618,000605,000833,000740,000419,000383,000522,000488000316006100252,000830,0209,000625,000692bo43322,00039325,000616,000680,000000293,00085,000996000576,000,000902,000722,000626,00082,000653,00056,000438.000323,00022,000463,000276,000154,00005.00015,000> HomePredictionHouse Price PredictionThe best predicted sales price$ 228, 706.18sales rice vatingsThis histogram obtained from the Lasso regression model is hasedon the selected attributes such as rating given by the reviewers,Eype of zone based on the user's purpose, type of the buildingbased on the user's comfort, mumber of bedrooms required,number of bathrooms required, numbeE of individual toiletsrequired, and other required utilitiesThe predicted sale price of the selected house from this model is$ 243,030.47.soTrend from Lasso Regression model on Sales PriceSales Price vs. RatingsThis histogram obtained from the ElasticNet regression model isbased on the selected attributes such as rating given by the200000reviewers, type of zone based on the user's purpose, type of thebuilding based on the user's comfort, number of bedroomsrequired, number of bathrooms required, number of individual150000toilets required, and other required utilities.The predicted sale price of the selected house from this model is$ 198,962.75.1000005000010RatingsTrend from ElasticNet Regression model on Sales PriceSales Price vs. RatingThis histogram obtained from the Ridge regression model is basedon the sclected attributes such as rating given by the reviewers,type of zone based on the user's purpose, type of the buildingbased on the user's comfort, number of bedrooms required,number of bathrooms required, number of individual toiletsrequired, and other required utilities.200000150000The predicted sale price of the selected house from this model isS 243,525.33.RatingTrend from Ridge Regression model on Sales PriceBack

Accepted Answer

use case diagram:…