The outcomes for X1 and X7 are reversed. ⇒ X3 has the missing attribute value for "Pat". ⇒ X5 has the missing attribute value for "Hun". ⇒ X10 has the attribute for “TYPE” which could be either ITALIAN or FRENCH. Define an algorithm for dealing with missing attributes and partially specified attributes,which includes the modified calculation for information gain use to make splitting decisions. Generate a decision tree for this example using your new algorithm. Answer There are a lot of ways
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MIDTERM: CS 6375 INSTRUCTOR: VIBHAV GOGATE October, 23 2013 The exam is closed book. You are allowed a one-page cheat sheet. Answer the questions in the spaces provided on the question sheets. If you run out of room for an answer, use an additional sheet (available from the instructor) and staple it to your exam. • NAME • UTD-ID if known • SECTION 1: • SECTION 2: • SECTION 3: • SECTION 4: • SECTION 5: • Out of 90: 1 CS 6375 FALL 2013 Midterm, Page 2 of 13 October
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#NAME? #NAME? 0 #NAME? #NAME? Test Effective #NAME? -$150,000,000.00 #NAME? 75.0% -100,000,000 #NAME? #NAME? Test Merck Decision Tree Although a decision analysis would recommend that Merck not commit to the proposal, the company's balance sheet shows that it has significant assets to support a loss. The projected values of earning for depression and dual indications seem to be worth the risk. Weightloss does not. Not Effective 15.0% 0 Phase III: Long Term Efficacy Testing
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Chapter 1 INTRODUCTION 1.1 Background of the Study It has been said that modeling the learner is the central aspect of intelligent tutoring systems. This realization spurred the development of student modeling systems or systems that diagnose student errors. These systems proved to be effective in areas like mathematics (subtraction, highschool algebra, differentiation) and computer programming (Pascal, Lisp,C++). The essential elements in constructing a student model are the background knowledge
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Assignment: Binary Search Tree + Heap = Treap October 10, 2012 Binary search tree, as shown in figure 1, is a binary tree data structure which is used to hold key-value pairs and satisfies following properties; • The left subtree of any node contains only those nodes with keys less than the node’s key. • The right subtree of any node contains only those nodes with keys greater than the node’s key. key=10 val="AU" key=8 val="BN" key=15 val="TN" key=12 val="NZ" key=17 val="DL" key=19
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Decision Trees The Decision Tree module in Excel OM (and in POM for Windows) acts differently than all other modules because rather than creating a table of data it creates a graphical tree. We will use Example 3 in Chapter A5 from Heizer & Render’s Operations Management textbook for our example. After selecting the Decision Tree Module the screen will appear as in Figure 1 below. Figure 1: The Initial Decision Tree Screen Notice the Decision Tree Creation Window on the right. This is used
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to Data Mining 4/18/2004 1 Classification: Definition Given a collection of records (training set ) – Each record contains a set of attributes, one of the attributes is the class. Find a model for class attribute as a function of the values of other attributes. Goal: previously unseen records should be assigned a class as accurately as possible. – A test set is used to determine the accuracy of the model. Usually, the given data set is divided into training and test sets, with training
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start of a new and different period in both their lives. Another symbol is the Christmas tree. The Christmas tree is a cheerful object meant to provide an ornamental purpose. In The Doll House the tree symbolizes Nora as an ornament as well in that she is enjoyable to look at. There are several similarities drawn between Nora and the Christmas tree in the play. Just as Nora tells them that no one can see the tree until it has been decorated, she tells Torvald that no one can see her in her dress until
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celebrates a tree ritual on a day in late December, but the preparations begin long before that. At the beginning of that month, there is some sort of “tree-trade” that enters the market. People go into the forest, cut down trees and sell them to other people who buy them for the purpose of placing them in their homes! Each head of the household, usually the father, purchases the tree, straps it onto the roof of his car and brings it inside the house to display in his living room. The tree is then decorated
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“Christmas tree.” However, it will not be a “Christmas tree” in the traditional sense. For this tree, the stand, or base, will be the environment in which we grew up. Its branches will be our life experiences. We will adorn this tree with the lessons we have learned. The lights, which flicker on and off, will represent those individuals who come in and out of our lives attempting to spread negativity. Hopefully, we can enlighten them. If not, at least they do not snuff out the grandeur of our tree for
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