attribute selection method. Determine which attribute (A1, A2, A3) will be your root attribute (show your calculations).
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Use the data from Table 4 to determine the attribute split (at root) in constructing decision tree using information gain as attribute selection method. Determine which attribute (A1, A2, A3) will be your root attribute (show your calculations).
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- The purity of a nominal attribute's pertinent partitions in a decision tree determines the attribute's quality. Only tuples with the same property value are present in each split. Describe how attribute selection techniques are used to handle numeric attributes.In decision trees, the quality of the relevant partitions of data is used by attribute selection methods to evaluate if a nominal attribute is good or poor. A partition contains just the tuples when all attributes have the same value. Methods for selecting quantitative qualities are described.Question 46. The Titanic data set contains information, whether passengers of the Titanic survived the shipwreck, based on their gender, age and passenger class. The following decision tree has been learned on this data. Which of the statements are true? died 0.38 100% yes F sex = male - no died 0.19 64% survived 0.73 36% age >= 9.5 pclass = 3rd died 0.49 17% survived 0.58 3% pclass = 3rd age >= 1.5 died 0.17 61% died 0.38 2% survived 1.00 1% survived 0.86 1% died survived 0.48 16% 0.93 19% a) Overall, 62% of the passengers in the data set died. b) A 'new' passenger (female, 3rd class, 30 years old) is predicted to die in the shipwreck. c) 62% of the passengers in the data set are female. d) All male 3rd class passengers in the data set died.
- QUESTION 3| You are the sport's manager who are responsible to decide the placement of player in the next game based on their achievement. You have decided to use decision tree method in helping you to make the decision of the requested task. The following history data is prepared for you as a guideline in Table 6: Table 6: Data of Player Achievement Played Before Health |Not-Play Player Role Decision Defender Good No Striker Not-Play Bad No 3 Defender Play Okay Yes 4 Reserve Not-Play Good Yes Striker Play Okay No 6. Defender Play Good Yes 7 Reserve Not-Play Bad Yes Striker Play Okay No Which attribute would be the root of the tree? Show the calculation of Information Gain(IG) in order to identify the root.What are some creative ways to use binary variables in model formulation?Model evaluation Create a predictions variable using your fitted model and the test dataset; call it y_pred. Then get the accuracy score of your predictions and save it in a variable called accuracy. Finally get the confusion matrix for your predictions and save it in a variable called confusion_mat. Code: y_pred = Noneaccuracy = Noneconfusion_mat = None
- I have a decision tree diagram. I need that to be converted to ER diagram Attached the picture belowI want ER diagram to be done for the below decision treeIn decision trees, attribute selection algorithms evaluate whether a nominal attribute is great or poor based on the purity of the associated partitions of the attribute's data. A partition contains only tuples with the same value for an attribute. Describe the procedures used for selecting attributes based on numeric values.
- Show how to represent a 1:N recursive relationship in your answer to question 5.29. How does this differ from the representation of 1:N nonrecursive relationships?Create a (Log In) Decision tables + Decision trees: Case 1 - Username and password both were wrong. The user is shown an error message. Case 2 - Username was correct, but the password was wrong. The user is shown an error message. Case 3 - Username was wrong, but the password was correct. The user is shown an error message. Case 4 - Username and password both were correct, and the user navigated to homepage. المرفقات Decision tables + Decision trees IICreate a (Log In) Decision tables + Decision trees: Case 1 - Username and password both were wrong. The user is shown an error message. Case 2 - Username was correct, but the password was wrong. The user is shown an error message. Case 3 - Username was wrong, but the password was correct. The user is shown an error message. Case 4 - Username and password both were correct, and the user navigated to homepage. المرفقات Decision tables + Decision trees تم تعي ينها عملك أضف تعليقك الخاص II