e) Write the decision rules for the decision tree shown below: Age <= 43 >43 No (3/0) Gender Female Male Yes (6/0) Credit card insurance No Yes No (4/1) Yes (2/0)
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- def classify(classifier, point): """ return the classification probability for the given point using the given classifier :params: classifier: list of floats, representing the weights for a logistic classifier point: list of values, representing features of a data point. will be same length as list of weights return: float, representing probability that point is from class 1. """ # TODO: implement this! # placeholder; say "50-50" for any point return 0.5) Please use the decision table testing method to generate your decision table for Search-A-Node function. b) Please use the decision table testing method to generate your decision table for Add-A-Node function. c) Provide your decision table test case set for (a)d) What is the test complexity when you apply the decision table testing?Write 3 difference between autonomous itemsn and accommodating items
- Q2 computer Science DT_make_prediction(x,DT) This function should take a single sample and a trained decision tree and return a single classification. The output should be a scalar valueWhat are decision trees? What are they used for? What elements make up a decision tree and what does each of these elements represent?Define decision node
- What prevents a decision tree from a decision table?Q2. Write a rightmost derivation and draw the corresponding parse tree for the sentence “{ a, b+ }”.Calculate BLEU-4 score for the below reference and candidate. Use natural logarithm in your formula. Reference: “the quick brown fox jumped over the lazy dog” Candidate: “the fast brown fox jumped over the dog”
- Create a diagram (handwritten or digital) for the children of the configuration below in the game tree. Indicate which children are leaves and the outcome of the game. It is X's turn to play next.Java Programming**. B) The Headquarter sends a message all employees. Do not change the model, as shown, the Company is composed of several departments and offices. C) Show data structure in Company corresponding to model. D) In Part C, if you have two data structures (Offices and Department); could they be combined in one data structure: If yes, show the code for combing the two data structures; if no, explain.What are the advantages of a decision tree classifier?