In tuple-level uncertainty, the value of an attribute is itself a random variable whose domain is the set of values allowed for that tuple. True or false? A True B Farse
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In tuple-level uncertainty, the value of an attribute is itself a random variable whose domain is the set of values allowed for that tuple. True or false?
A True
B Farse
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- Match DEfintion: Naive Bayes Bias Variance Decision tree greedy algorithm Logistic RegressionAssume an attribute (feature) has a normal distribution in a dataset. Assume the standard deviation is S and the mean is M. Typically: Group of answer choices, multiple choice: Then the outliers usually lie below -3*M or above +3*M Then the outliers usually lie above -3*S or below +3*S Then the outliers usually lie below -3*S or above +3*S Then the outliers usually lie above -3*M or below +3*MThree classifiers are to be benchmarked. To this end, using the same data, the classifiers were trained and the following table shows the validation results obtained with n = 16 observations. 1 1 0 2 0 3 1 4 1 5 1 6 1 7 0 8 9 10 11 12 13 14 15 16 OTTOTOO 0 1 1 1 1 0 ZOOOoooo Hooo o Ytrue Y1 Y2 Y3 1 0 0 0 1 0 1 0 1 1 0 0 1 1 0 1 0 0 0 0 0 0 0 1 1 0 0 1 0 0 1 1 0 1 0 0 0 1 1 0 11O 1 1 1 1 0001 Match the classifiers with the performance measures. Accuracy and Error rate for Y3 Choose... Accuracy and Error rate for Y2 Choose... TPR and FPR for Y1 Choose...
- Define Attribute interpolation.What do you mean specifically by attribute interpolation?A derived attribute can be stored in a table or calculated on each occasion that it is required. An example of a derived attribute is your Grade Point Average which is calculated by adding together a score for each unit (e.g., HD=4, D=3, C=2, P=1, N=0) and dividing that by the number of units you have completed. Explain how the decision as to whether the Grade Point Average would be stored in a table or calculated would be made. You are administering a database in a large retail company that records sales at each of the company’s stores. Tuning the database to improve performance by adding indexes and optimising query execution is an important ongoing aspect of the physical database design. Which attributes in a database such as this (apart from the primary key) are likely to BENEFIT from being indexed? Which attributes would you generally avoid indexing, and why?
- Use Python for the following questions (your own method implementation or libraries/packages for the answers): Suppose that the data for analysis includes the attribute age. The age values for the data tuples are (in increasing order) 13, 15, 16, 16, 19, 20, 20, 21, 22, 22, 25, 25, 25, 25, 30, 33, 33, 35, 35, 35, 35, 36, 40, 45, 46, 52, 70. (a) What is the mean of the data? What is the median? (b) What is the mode of the data? Comment on the data’s modality (i.e., bimodal, trimodal, etc.). (c) What is the midrange of the data? (d) Can you find (roughly) the first quartile (Q1) and the third quartile (Q3) of the data? (e) Give the five-number summary of the data. (f) Show a boxplot of the data.The lower the misclassification rate, the better the predictive performance of a logistic regression model. True False PLEASE ANSWER CORRECTLYWhen a student does not declare a major at an institution, the major field is often filled with the value "Undecided." Is the null value represented by "Undecided"? Is it appropriate to set that as the default? Make a strong case for your answer.
- BDAN 250 Select the answer that best describes an ordinal variable: A categorical variable with categories that cannot be ranked A categorical variable where there is a logical rank-order relationship between the variable responses A continuous variable with categories that cannot be ranked A continuous variable where there is a logical rank-order relationship between the variable responses Numeric values at set/even intervals.In order to declare a variable, "type" alone is not sufficient. To phrase this another way, each variable has both a data type as well as some other form of attribute. This idea enables us to represent the characteristics of any variable; but, how can we put it to use?CRUD analysis helps to identify possible collaborations between objects True False
