1. Using the code presented in Section 8.6:
(a) Generate a dataset (X, y).
(b) Apply a PCA transformation on X, which we denote Ẋ.
(c) Compute MDI, MDA, and SFI feature importance on (Ẋ,y), where the base estimator is RF.
(d) Do the three methods agree on what features are important? Why?
2. From exercise, generate a new dataset (Ẍ,y), where Ẍ is a feature union of X and Ẋ .
(a) Compute MDI, MDA, and SFI feature importance on (Ẍ,y), where the base estimator is RF.
(b) Do the three methods agree on the important features? Why?
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1 Using Snippet 15 5 Compute For The Strategy Described In Exercise 3 At A Significa 2664117
/in Uncategorized /by developer1. Using Snippet 15.5, compute
for the strategy described in exercise 3. At a significance level of 0.05, would you discard this strategy? Is this result consistent with PSR[𝜃∗]?
2. In general, what result do you expect to be more accurate, PSR[𝜃∗] or
How are these two methods complementary?
3. Re-examine the results from Chapter 13, in light of what you have learned in this chapter.
(a) Does the asymmetry between profit taking and stop-loss thresholds in OTRs make sense?
(b) What is the range of p implied by Figure 13.1, for a daily betting frequency?
(c) What is the range of p implied by Figure 13.5, for a weekly betting frequency?
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1 Using A Debugger Try To Determine Whether Your C Compiler Uses Static Address Tabl 2110554
/in Uncategorized /by developer1. Using a debugger, try to determine whether your C++ compiler uses static address tables to look up exception handlers. Describe what the debugger tells you is occurring when an exception is raised.
2. Write declarations in a language of your choice for the maintenance of a free list of memory as (a) a circular singly linked list, and (b) a noncircular doubly linked list. Write procedures to deallocate a block using both of these data structures, being sure to coalesce adjacent blocks. Compare the ease of coalescing blocks in each case.
Q
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1 Using The Code Presented In Section 8 6 A Generate A Dataset X Y B Apply A Pca 2664393
/in Uncategorized /by developer1. Using the code presented in Section 8.6:
(a) Generate a dataset (X, y).
(b) Apply a PCA transformation on X, which we denote Ẋ.
(c) Compute MDI, MDA, and SFI feature importance on (Ẋ,y), where the base estimator is RF.
(d) Do the three methods agree on what features are important? Why?
2. From exercise, generate a new dataset (Ẍ,y), where Ẍ is a feature union of X and Ẋ .
(a) Compute MDI, MDA, and SFI feature importance on (Ẍ,y), where the base estimator is RF.
(b) Do the three methods agree on the important features? Why?
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1 Using The Function Mp Sample Tw Compute The Average Uniqueness Of Each Label What 2664290
/in Uncategorized /by developer1. Using the function mp Sample TW, compute the average uniqueness of each label. What is the first-order serial correlation, AR(1), of this time series? Is it statistically significant? Why?
2. Fit a random forest to a financial dataset where
(a) What is the mean out-of-bag accuracy?
(b) What is the mean accuracy of k-fold cross-validation (without shuffling) on the same dataset?
(c) Why is out-of-bag accuracy so much higher than cross-validation accuracy? Which one is more correct / less biased? What is the source of this bias?
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1 Using The Formulation In Section 10 3 Plot The Bet Size M As A Function Of The Max 2664277
/in Uncategorized /by developer1. Using the formulation in Section 10.3, plot the bet size (m) as a function of the maximum predicted probability
2. Draw 10,000 random numbers from a uniform distribution with bounds
(a) Compute the bet sizes m for
(b) Assign 10,000 consecutive calendar days to the bet sizes.
(c) Draw 10,000 random numbers from a uniform distribution with bounds
(d) Form a pandas series indexed by the dates in 2.b, and with values equal to the index shifted forward the number of days in 2.c. This is a t1 object similar to the ones we used in Chapter 3.
(e) Compute the resulting average active bets, following Section 10.4.
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1 Using The Data In Table 2 3 Calculate Average Fixed Cost And Average Variable Cost 2625114
/in Uncategorized /by developer1. Using the data in Table 2.3, calculate average fixed cost and average variable cost. Plot these on a graph with the average total cost and briefly explain the result.
2. When should a business cease production in the short run?
3. What costs need to be covered in the long run?
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1 Utilities Expense 2 Accounts Payable 3 Commissions 4 Capital 5 Withdrawals Where D 1039413
/in Uncategorized /by developer1)utilities expense, 2)accounts payable, 3)commissions,4)capital, 5)withdrawals.where do they appear? income statement or statement of changes in owner equity or balance sheet.i think #1 is balance sheet #2 is income statement, #3 statement of chnges in owner equity #4 i think blance sheet #5 owner equity #6 income statement. please correct if iam wrong and write the right ans. and mke it clear so i could understand why.please.
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1 Valarmorghulis Company Was Organized Just A Year Ago The Normal Capacity And Actua 2830173
/in Uncategorized /by developer1. ValarMorghulis Company was organized just a year ago. The normal capacity and actual production of the company is 2,500 units. The results of the company’s first year of operations are shown below.
ValarMorghulis Company
Income Statement
Sales (2,000 units sold)
P 135,000
Less: Cost of goods sold:
Beginning Inventory
P 0
Cost of Goods Manufactured
105,000
Goods Available for Sale
P 105,000
Ending Inventory
21,000
84,000
Gross Margin
51,000
Less: Selling and Administrative expenses
42,000
Net Income
P 9,000
The company’s unit variable cost is computed as follows:
Variable manufacturing cost
P 32
Variable Selling and Administrative expenses
5
Total Variable cost per unit
P 37
REQUIRED:
1. What is the Selling price per unit? Fixed MOH per unit application?
2. What is the total fixed manufacturing cost? Total fixed selling and administrative expense?
3. What the net income under full costing? Under direct costing?
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1 Various Forms Of Inequality Are Experienced In Australia Today E G Gender Class Et 2535276
/in Uncategorized /by developer1. Various forms of inequality are experienced in Australia today (e.g. gender, class, ethnicity, age, ability, etc.). Using a sociological perspective and concepts, select and discuss a current example of inequality in Australia, and provide sociological explanations for these patterns. In what ways does that type of inequality also intersect with other forms of inequality? Document Preview:
SOCY 1050 MAJOR RESEARCH PROJECT MARKING CRITERIA SHEET Name: Student no: Mark: /40 Criteria Mark
Attachments:
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1 Victoria Ephanor Manages A Small Product Distribution Company Because The Business 3309527
/in Uncategorized /by developer1. Victoria Ephanor manages a small product distribution company. Because the business is growing fast, Ephanor recognizes that it is time to manage the vast information pool to help guide the accelerating growth. Ephanor, who is familiar with spreadsheet software, currently employs a sales force of four people. She asks you to develop a data warehouse application prototype that will enable her to study sales figures by year, region, salesperson, and product. (This prototype is to be used as the basis for a future data warehouse database.) Using the data supplied in the Ch13_P2.xls file, complete the following seven problems: a. Identify the appropriate fact table components. (5) b. Identify the appropriate dimension tables. (5) c. Draw a star schema diagram for this data warehouse. (5) d. Identify the attributes for the dimension tables that will be required to solve this problem. (5) e. Using the spreadsheet generate a pivot table to show Sales by Product and by Region. The end user must be able to specify the display of Sales for any given Year. The sample oputput is shown below in Figure 1. f. Use problem (e) as your point of departure and add a second pivot table as in Figure 1 (on same spreadsheet) to show Sales by SalesPerson and by Region as in Figure 1 but the lower part. The end user must be able to specify Sales for a given Year or for ALL Years, and for a given Product or for ALL Products. (5) g. Create a 3D Bar Graph as part of your spreadsheet but give it a name CHART as in Figure 2 below. Your spreadsheet must therefore have at least three tabs. One for the raw data as given, one for the pivot tables and one for the CHART. The CHART must display as in Figure 2, the Sales for Salespeople within different Regions for each Product. (5) Figure 1: Pivot Tables showing Sales by Year AND Sales for Year and Product Figure 2: 3D- Bar Graph that shows Sales per Region for SalesPeople and Products
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