ASS-1

In order to explain or understand the information that a prediction model provides, what approaches do you use?

A large car fleet company asked you to help them forecast vehicle resale values. They purchase new vehicles,lease them for three years, and then sell them. Better forecasts of vehicle sales values would mean bettercontrol of profits; understanding what affects resale values may allow leasing and sales policies to bedeveloped to maximise profits. At the time, the resale values were being forecast by a group of specialists. Unfortunately, they saw any statistical model as a threat to their jobs and were uncooperative in providing information. Nevertheless, the company provided a large amount of data on previous vehicles and their eventual resale values.  1.1 Describe the five steps of forecasting in the context of this project?

If we evaluate a classification model(such as SVC) using the K-fold cross-validation and we set K = 9, how many times will the classification model be trained and evaluated? Group of answer choices 3 6 9 1

given that not all claim values are represented in the graph and that some of the unrepresented claim values are very large. Can you explain this? If so, please provide your reasons, with graphs or other statistics if helpful.

Uncertain data modeling generally refers to tuple-level uncertainty. True or false?  A True  B False

Assume 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*M

evaluate a data model's usefulness in comparison to the traditional strength prediction method

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.

Your task is to implement a class that provides methods ProcessTrade, Process PriceUpdate, OutputWorst rade. These method calls correspond to the instructions described above with the method arguments corresponding to the update or query attributes. Constraints • 1 ≤ N, Tradeld, Price, Volume ≤ 105 • It is guaranteed that price update for an instrument is available before first trade on that instrument. Input Format For Custom Testing Input to the program is specified using a simple text format. The format and details of parsing are not relevant to answering the question but custom input can be used to help with development and debugging. The first line of input contains an integer N that denotes the number of instructions. Each of the N subsequent lines contains either an update or a query in the format below: Updates: 4 TRADE . PRICE Query: . WORST TRADE Some example inputs and their expected outputs are described below.

Using a decision table simplifies the process of associating conditions with responses. Explain?

What is the difference between the E-R model and the extended E-R model? and explain the ER diagrams

Three of the mentors started writing notes for the CS Subjects and before they started they had set a target to finish the work on a certain date. But due to some important work these mentors had to take leave, which resulted in the delay of 3 days from the target date to be finished. Mentor A took 2 days more leave than that of Mentor C and Mentor B took 4 days more leave than that of Mentor C. What is the total number of days for which Mentor C was on leave?

A high bias model has a high unpredictable error, while a high variance model has a high systematic error. Select: True or False?

Consider the following scenario: you are interested in researching the connection that exists between the number of 'likes' one gets on Facebook and the number of 'friends' one has on the social media site. Specifically, you want to know whether there is a relationship between the two variables. Please describe the statistical strategy that you would employ using just your own words. Thank you.

Analyze the following dataset of Infection forecast to classify the patient to Infected or not. Use ID3 algorithm or Identification tree and Calculate Entropy and Information Gain of each attribute to identify root node of the decision tree and its branches.

PART I: Using following columns build a model to predict if person would survive or not, • Pclass• Sex• Age• Fare Calculate score of your model (Screen Shot)

In what scenarios might a denormalized data model be preferred over a normalized one?

7. How are covariance and correlation different from one another?

Question 5.  Develop a decision tree for the given data set.   Age Job House Credit Loan Approved Middle FALSE No Fair  No Middle FALSE No Good No Middle FALSE Yes Excellent Yes Middle FALSE Yes Excellent Yes Middle TRUE Yes Good Yes Old TRUE No Excellent Yes Old FALSE No Fair  No Old TRUE No Good Yes Old FALSE Yes Excellent Yes Old FALSE Yes Good Yes Young FALSE No Fair  No Young FALSE No Fair  No Young FALSE No Good No Young TRUE No Good Yes Young TRUE Yes Fair  Yes

How do i use matlab to read a csv and use the information and plot it into a graph. I have attached an image of some of the data  no pandas

A data scientist for an online retailer is given the assignment of predicting what a customer will be interested in based on past purchases. The data scientist is given access to six months of purchasing history from 1000 customers. What task does the data scientist do next? Give a presentation of the results to the targeted advertising team. Run classification models to predict which product characteristics are likely to appeal to each customer. Create scatter plots of each pair of variables to determine which are likely to be correlated. Reformat the data into a csv file and remove rows with missing data. The task is an example of which step in the data science lifecycle? Pick û

You are building a classification model to predict whether a firm will go bankrupt within the next 5 years. When you collect the data, you find that the number of instances of firms that went bankrupt is smaller than the number of cases of firms that did not go bankrupt. Specifically, only 7% of the firms went bankrupt, while the rest did not go bankrupt. Once you build the classification model, you need to compare performance against a baseline. Which of the following would be an appropriate baseline? O Always predicting that the firm does not go bankrupt O Making a prediction that a firm goes bankrupt with 7% probability O Always predicting that the firm goes bankrupt Making a prediction from the set (bankrupt, not bankrupt) with equal probability

Q1. Consider the following fact table about sales: Product Time Drinks Bread $20000 $25000 $35000 $10000 $10000 $10000 July August Sept $15000 $15000 Oct $20000 Nov $20000 Suppose the Time dimension hierarchy has three levels: month → quarter → all, and the Product dimension has two levels: item → all. July and August belong to the summer quarter, and Sept and Oct and Nov belong to the fall quarter. (a) List all derived cells that involve quarters, together with their total dollar values. (b) Give an example of drill down involving two cells (list both the "from" cell and the "to" cell). (c) Give an example of roll up involving two cells (list both the "from" cell and the "to" cell). Q2. Use the fact table in Q1 to illustrate what is meant by “the sum() measure is distributive", what is meant by "the avg() measure is not distributive", what is meant by "avg() is algebraic", and what is meant by “the median() measure is not algebraic".

(1) Draw the inverted index that would be built for the following document collection. Compare your answer with the given ones and select the correct one. Doc 1   new home sales top forecasts Doc 2   home sales rise in july Doc 3   increase in home sales in july Doc 4   july new home sales rise

Take into consideration the following scenario: you are interested in studying the correlation that exists between the amount of 'likes' one receives on Facebook and the amount of 'friends' one has on the social media site. Using your own words, please explain the statistical method that you would use.

5. What is the tradeoff between bias and variance?