In the following dataset, we want to use x1 and x2 to predict y.Instancex1(Predictor)x2(Preditor)(outcome)d134YESd21212Nod32NoWe want to classify the following new instance by using KNN method.do141. What is the distance between d1 and do? what is the distance between d2 and d0?what is the distance between d3 and d0?2. If we set k-1, what is the predicted outcome value for d0?3. If we set k-3, what is the predicted outcome value for d0?

Given table: Instance X1 X2 Y d1 3 4 YES d2 2 2 NO d3 2 4 NO 1) Find distance between d1…

We want to classify the following new instance by using KNN method. do 2 1. What is the distance between d1 and d0? what is the distance between d2 and d0? what is the distance between d3 and d0? 2. If we set k-1, what is the predicted outcome value for d0? 3. If we set k-3, what is the predicted outcome value for do?

We want to classify the following new instance by using KNN method. do 2 1. What is the distance between d1 and d0? what is the distance between d2 and d0? what is the distance between d3 and d0? 2. If we set k-1, what is the predicted outcome value for d0? 3. If we set k-3, what is the predicted outcome value for do?

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Which of the following model should be used to show a single outcome with quantitative input values has no randomness? a. The threshold model O b. The deterministic model O. The statistical model d. The stochastic model
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There are four questions related to the same scenario in the test presented in random order. Consider a classification problem of a online customer as follows Predicted (output) variable is buy food or not (has two distinct values as yes and no). Input variables are: total food spending last year, age of the customer, categorical (3 levels): (young, middle, old) yearly income of customer, categorical (5 levels): (low, middle_low, middle, high_middle, high) marital status of the customer (marital status has four distinct values), customers occupation, (occupation has fife distinct values), Thermometer encoding is used properly. This problem is to be solved by multilayer feedforward neural network with a single hidden layer containing 5 nodes. What is the total number of nodes? а. 24 O b. 11 О. 22 O d. 20
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Suppose we are trying to model a classification problem with two labels: 'sick' and 'healthy.' For the purpose of this test, we consider a positive result to be testing sick and a negative to test as healthy. After fitting the model with LDA in R, we compare predicted values from the actual values, as shown below: > lda. fit = 1da (test.result x1 + x2, data-mydata) > lda. pred > lda.class=lda.pred$class > table (lda.class, mydata$test.result) = predict (1da.fit) mydata lda.pred sick healthy sick 40 healthy 25 32 121
Question 48. Let us return to the Titanic data set. We now have learned several models and want to choose the best one. We used three different methods to validate these models: The training error rate (apparent error rate), the error rate on an external test set and the error rate estimated by a 10-fold cross validation. Training Error | Error on the test set | Cross Validation Error 0.18 Learner Decision Tree 0.22 0.21 Random Forest 0.01 0.10 0.12 1-Nearest-Neighbour 0.18 0.19 Which of the following statements are correct? a) 1-Nearest-Neighbour has a perfect training error and hence it should be used here. b) Random Forests outperforms both 1-Nearest-Neighbour and the Decision Tree in terms of prediction error. c) Not just in this case, but in general, Cross Validation is the better validation strategy and should always be preferred over the error on a single test set. d) Not just in this case, but in general, Decision Trees always perform worse than Random Forests.
The stand rental system is going to be used by any company to search for stands, either by prices, by prices, or by types. If there is any interest then the company will request a quotation through the system. This request will be assessed by a salesman of INSIGHTS. The salesman will issue a quotation accordingly. In the case the prices are convenient, the company will reserve the stands that it is interested in. The company has three days to pay the costs of the stands. The costs are obtained from the invoice generated by the salesman. The company can cancel its reservation any time. Furthermore, before the starting of the event, an employee of INSIGHTS with the role of supervisor will generate a report about the companies that paid the fees and the current setup of the exhibition. The supervisor will also issue the necessary reminders to the companies to bring their equipment as well as bring their promotion documents to the site of the exhibition. In order to implement the expected…
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Correct answer will be upvoted else Multiple Downvoted. Computer science. Players alternate, Alice moves first. Each turn a player picks any component and eliminates it from the exhibit. In the event that Alice picks even worth, she adds it to her score. On the off chance that the picked esteem is odd, Alice's score doesn't change. Essentially, on the off chance that Bob picks odd worth, he adds it to his score. On the off chance that the picked esteem is even, Bob's score doesn't change. On the off chance that there are no numbers left in the cluster, the game finishes. The player with the most noteworthy score wins. Assuming the scores of the players are equivalent, a draw is announced. For instance, assuming n=4 and a=[5,2,7,3], the game could go as follows (there are different choices): On the principal move, Alice picks 2 and get two focuses. Her score is presently 2. The exhibit an is presently [5,7,3]. On the subsequent move, Bob picks 5 and get five…
One of your labmates suggests doing a bunch of paired-sample t tests instead of one ANOVA. What is the best response? Ok, sure. There's no reason not to do that. Whoa! That means there's a bigger risk of a type I error! Nah, I prefer doing the ANOVA because it sounds cooler. Trick question! You can get the same result with just one t test! It won't work because ANOVA andt tests have different assumptions. That's even better since we'll get more information!