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Financial Forensics · End Term · Sep 2023 · FN

Financial Forensics · End Term · Sep 2023 FN

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Question 274 NAT · 0.5 marks

Source diagram or notation
Current Ratio

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Question 275 NAT · 0.5 marks

Source diagram or notation
Quick Ratio

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Question 276 NAT · 0.5 marks

Source diagram or notation
Inventory turnover ratio

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Question 277 NAT · 0.5 marks

Source diagram or notation
Gross Profit Margin – Expressed in Ratio

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Question 278 NAT · 0.5 marks

Source diagram or notation
Net profit margin – Expressed in Ratio

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Question 279 NAT · 0.5 marks

Source diagram or notation
Debt to Capitalization Ratio – Expressed in Ratio

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Question 280 MCQ · 1.0 marks

Which of the following ratios can be considered when we are analysing the profitability of a company?
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Equity Turnover
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Current Ratio
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Return on Equity
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Days’ Cash

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Question 281 NAT · 2.0 marks

You have devised a 10 year retirement plan whereby you pay your subscribers 1000$ per annual for the first 5 years, and then 8000$ for the next 5 years. Assuming a discount rate of 6% for the first 5 years and 8% for the next 5 years, what should be the minimum price at which you have to sell the plan so that you don't incur any loss? **NOTE:**Round to two decimal places wherever necessary

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Question 282 NAT · 1.0 marks

Suppose the risk free rate in the market is 4%, the expected market return is 8% and the beta of the stock is 1.3, at what rate the expected return of a stock changes with respect to the market premium?

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Question 283 NAT · 1.0 marks

Holmes, Inc., is a 90% equity and 10% debt financed firm. The unlevered beta is 0.60, the market risk premium is 6.67 percent, and the risk-free rate is 3.30 percent. What is the expected rate of return on this stock? Consider the tax rate as 30%. Express your answer as a fraction. **NOTE:**Round to two decimal places wherever necessary

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Question 284 MCQ · 1.0 marks

Source diagram or notation
6406532333408.
The system performs with a recall of 100%
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The system performs with a precision of 100%
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The system has 0 False Negatives
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The system was calibrated to makes sure that it absolutely blocks all fraudulent transactions.

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Question 285 MCQ · 1.0 marks

The following are the number of payments attempts on a regular day that a fintech giant is seeing in its platform. You are hired as a data scientist to find the pattern in the payment attempts and you decide to perform a MLE with a gaussian distribution as an assumption. Which of these correctly represents the parameters of the normal distribution based on MLE for the given data: # Daily Payment Attempts = 100, 145, 120, 250, 124, 364, 124, 237, 365, 143
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mu = 95.18; sigma = 12.6
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mu = 14.5; sigma = 7.51
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mu = 197.2; sigma = 101.18
6406532333415.
mu = 180.5; sigma = 10237.5

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Question 286 MCQ · 1.0 marks

Which of the following is **not True** about using rules for Fraud Detection in the world of FinTech:
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Rules can only be used for catching frauds that satisfy a set of per-computed scenarios.
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Rules can adapt very well to the changing fraud environment automatically.
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Creating rules for detecting frauds is a very time-consuming process.
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Rules do not scale well to capture wide range of fraud patterns.

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Question 287 MCQ · 1.0 marks

Which of the following statement(s) is/are correct about isolation forest: I. Isolation Forest is a tree based algorithm, so it is a supervised learning model. II. In Isolation Forest the data points that are easy to separate from the population are more likely to be anomalous. III. Isolation Forest can be used only for fraud detection. IV. Isolation Forest can be used only when the type of Fraud is known before building the ML system.
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Statements I and II
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Statements II, III and IV
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Only statement IV
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Only statement II
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Statements I and IV

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Question 288 MCQ · 1.0 marks

When we do anomaly detection, a Univariate Gaussian distribution is a good choice for representing two features that are positively correlated?
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True, since Univariate Gaussian distribution captures the interaction between variables well
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False, since Univariate Gaussian distribution can only be used when the features are negatively correlated
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True, since Univariate Gaussian distribution has a support from -Inf to +Inf
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False, since Univariate Gaussian distribution can only be used when the features are not correlated

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Question 289 MCQ · 1.0 marks

X is a characteristic of a time series in which the data experiences regular and predictable changes that recur at an irregular interval of time. What is X?
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Cyclicity
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Seasonality
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Trend
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Variance

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Question 290 NAT · 1.0 marks

Given an AR(3) model with autoregressive coefficients of 0.6, 0.2 and -0.1 and initial values at t=0, t=1 and t=2 being 8, 10 and 12, respectively. Calculate the predicted value at t = 3.

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Question 291 MCQ · 1.0 marks

Which of the following is/are example(s) of a autocorrelation process:
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Temperatures on consecutive days
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Traffic flow on an hourly basis
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Daily footfall in a shopping centre
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All of these

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Question 292 MCQ · 1.0 marks

Which of the following can be solved by the differencing technique in time series analysis?
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To remove trend
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To remove seasonality
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To remove correlation
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Both To remove trend and To remove seasonality

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Question 293 NAT · 1.0 marks

Considering the following data answer the given subquestions: The Hosmer Company had June sales of $275,000. The cost of goods sold was $164,000 Other cash expenses were: Rent $ 3,300 Taxes $ 1,375 Salaries $ 27,400 Other $ 50,240
What were the company Revenues?

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Question 294 NAT · 1.0 marks

Considering the following data answer the given subquestions: The Hosmer Company had June sales of $275,000. The cost of goods sold was $164,000 Other cash expenses were: Rent $ 3,300 Taxes $ 1,375 Salaries $ 27,400 Other $ 50,240
What were the company Expenses?

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Question 295 NAT · 1.0 marks

Considering the following data answer the given subquestions: The Hosmer Company had June sales of $275,000. The cost of goods sold was $164,000 Other cash expenses were: Rent $ 3,300 Taxes $ 1,375 Salaries $ 27,400 Other $ 50,240
What were the company Net income in June?

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Question 296 NAT · 1.0 marks

Source diagram or notation
Based on the above data, answer the given subquestions.
The income in the income statement is? (Hint: Balance Sheet should Balance):

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Question 297 NAT · 1.0 marks

Source diagram or notation
Based on the above data, answer the given subquestions.
As it is “The Balanced Sheet”, the Retained Earnings equal _____

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Question 298 NAT · 1.0 marks

D. Carson and F. Leggatt formed a partnership on June 1 to operate a shoe store. Carson contributed $50,000 cash and Leggatt contributed $50,000 worth of shoe inventory. During the month of June, the following transactions took place: 1. Additional shoe inventory was purchased at a cost of $24,000 cash. 2. Total cash sales for the month were $31,000. The inventory that was sold had a cost of $15,500. 3. Carson withdrew $6,200 of cash drawings. Leggatt withdrew only $3,700 of cash drawings. 4. The partnership borrowed $50,000 from the Third National Bank. 5. Land and a building were purchased at a cash cost of $25,000 and $50,000, Based on the given information answer the subquestions.
Cash inflow is ___ ?

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Question 299 NAT · 1.0 marks

D. Carson and F. Leggatt formed a partnership on June 1 to operate a shoe store. Carson contributed $50,000 cash and Leggatt contributed $50,000 worth of shoe inventory. During the month of June, the following transactions took place: 1. Additional shoe inventory was purchased at a cost of $24,000 cash. 2. Total cash sales for the month were $31,000. The inventory that was sold had a cost of $15,500. 3. Carson withdrew $6,200 of cash drawings. Leggatt withdrew only $3,700 of cash drawings. 4. The partnership borrowed $50,000 from the Third National Bank. 5. Land and a building were purchased at a cash cost of $25,000 and $50,000, Based on the given information answer the subquestions.
Cash outflow is ___?

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Question 300 NAT · 1.0 marks

D. Carson and F. Leggatt formed a partnership on June 1 to operate a shoe store. Carson contributed $50,000 cash and Leggatt contributed $50,000 worth of shoe inventory. During the month of June, the following transactions took place: 1. Additional shoe inventory was purchased at a cost of $24,000 cash. 2. Total cash sales for the month were $31,000. The inventory that was sold had a cost of $15,500. 3. Carson withdrew $6,200 of cash drawings. Leggatt withdrew only $3,700 of cash drawings. 4. The partnership borrowed $50,000 from the Third National Bank. 5. Land and a building were purchased at a cash cost of $25,000 and $50,000, Based on the given information answer the subquestions.
How much is the total profit/loss?

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Question 301 MCQ · 1.0 marks

What is the formula for calculating shareholder's equity on a balance sheet?
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Total assets - Total liabilities
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Total liabilities - Total assets
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Total assets + Total liabilities
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Total liabilities / Total assets

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Question 302 MCQ · 1.0 marks

In the cash flow statement if the company invests more in fixed assets and short term financial investments, it would result to:
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decreased cash
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increased cash
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increased equity
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increased liability

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Question 303 MCQ · 1.0 marks

You have the following 2 documents with the text: D1 = Lets change the logo of the company. D2 = The investors don’t like if the logo of the company is changed as logo plays a key role in brand recognition The Term Frequency (TF) for the word “company” for D1 and D2 is :
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2
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3
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1
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0

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Question 304 MCQ · 1.0 marks

You had converted two words to a vectors having following values: A = [2,1,4,2,8] B = [3,4,3,5,5] The cosine similarity between them is:
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0.833
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0.962
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0.915
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0.893

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Question 305 MCQ · 1.0 marks

What is the KS of the below table?
Source diagram or notation
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57.72
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36.45
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54.49
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90.87

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Question 306 MCQ · 1.0 marks

What is the capture rate of Positives at the top 15% from the below gains table?
Source diagram or notation
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99.70%
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72.01%
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63.77%
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84.13%

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Question 307 MCQ · 1.0 marks

What is the rollback rate for 30-59 DPD after 18 MOB?
Source diagram or notation
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80.27%
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75.46%
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74.47%
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46.01%
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29.63%

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Question 308 MCQ · 1.0 marks

“is” became “be”. This is an example of which of the following?
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Tokenization
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Stop word removal
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Stemming
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Lemmatization

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Question 309 MCQ · 1.0 marks

Input – I love to read novels, especially those with intricate plots and well-developed characters. Output – love read novels, especially those intricate plots well-developed characters. Which of the following pre-processing to input results in this output?
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Stopword removal
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Tokenisation
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Stemming
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Lemmatization
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None of these

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Question 310 MCQ · 1.0 marks

As given in the confusion matrix of the classifier in Table 1, a bank provides loan to 300 prospects from a database. Selection of an actual good customer leads to an average profit of ₹12,000. Due to misclassification, if a bad applicant is selected for loan, an average loss of ₹40,000 will be incurred. Based on the data given in the confusion matrix (Table 1), what is the additional profit bank could have earned by giving loans to declined good customers?
Source diagram or notation
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22,44,000
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12,40,000
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-2,76,000
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-7,60,000
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7,56,000

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Question 311 MCQ · 1.0 marks

Which of the following is an example of global interpretability in model explainability?
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Feature importance for a specific prediction
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Understanding the overall behavior of a model across all data
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Analyzing the impact of a single feature on predictions
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Examining the local decision boundary of a model

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Question 312 MCQ · 1.0 marks

In the following waterfall plot, identify the base value (explainer expected value):
Source diagram or notation
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-0.01
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0.927
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+16.85
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58.767

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Question 313 MCQ · 1.0 marks

In SHAP values, what does a positive value for a feature indicate?
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The feature has a positive impact on the prediction
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The feature has no impact on the prediction
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The feature has a negative impact on the prediction
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The feature is not considered in the analysis

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Question 314 MCQ · 1.0 marks

What is the main advantage of using SHAP over other feature importance techniques?
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SHAP is faster in computation
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SHAP provides both global and local explanations
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SHAP values are always positive, making interpretation easier
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SHAP works only with linear models

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Question 315 MCQ · 1.0 marks

What is the fundamental concept behind SHAPley values in the context of machine learning model interpretation?
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Feature importance based on model coefficients
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Distribution of feature values across instances
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Fair allocation of contribution to each feature in a prediction
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Random sampling of instances for explanation       **CT** **Section Id :** 64065349303 **Section Number :** 14 **Section type :** Online **Mandatory or Optional :** Mandatory **Number of Questions :** 18 **Number of Questions to be attempted :** 18 **Section Marks :** 100 **Display Number Panel :** Yes **Section Negative Marks :** 0 **Group All Questions :** No **Enable Mark as Answered Mark for Review and** Yes **Clear Response :** **Maximum Instruction Time :** 0

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