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ALL students enrolled in this course must complete ________ field experience hours during the current semester at a traditional public or charter school site to satisfy the requirements for this course.  

Problem 6 (22 points) Information Gain and Split Plans Consider the following data set for a binary class problem.  Illustrate your work/math to calculate the classification error rate when splitting on A and B. Which attribute would the decision tree induction algorithm choose? The definition of misclassification error is:  1) (5 Points) The overall misclassification error before splitting: 2) (5 Points) The gain in misclassification error after splitting on A: 3) (5 Points) The gain in misclassification error after splitting on B: 4) (3 Points) Which attribute would the decision tree choose: 5) (4 Points) There are three impurity measurements: entropy, misclassification error, and Gini index. Which one is the best for measuring impurity, and why?

Problem 2: (14 points) Types of Attributes Classify the following attributes as nominal, ordinal, interval, ratio. There is no need to explain why. 

Which of the following would best describe the characteristics of a muscle that is assigned a grade of trace (1)?

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KNN is more resistant to noise than Decision Tree

UCF Student ID [d] 

Number 3 Number 4 Number 4

Under stare decisis, judges in current cases follow the interpretation of law determined by judges in prior cases when such cases are binding precedent.

You are reviewing an initial evaluation from your supervising PT and notice a MMT grade of (4/5). Based on accepted clinical definitions of this grade, you would expect this patient to demonstrate normal Rom with how much resistance?