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Introduction to Data Analytics II (BUSI1127 UNMC) (SPM1 24-25)

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Transform the PromSpend and PromTime using the log. Now run the logistics regression with Forward selection. Based on your model, the ROC cut-off is:

1. In the text given fill up the ROC Cutoff

2. Snapshot the ROC curve and attach as a proof in the attachment button

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Using the Organic Dataset

Based on the Datatab, you would like to Impute

the DemGender that have a missing value of about 11.30%. Impute the DemGender

using Count. The imputation is done on the variable by:

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Based on Organic Dataset

Check

the

organic dataset

and ensure that the following variables are correctly

assigned based on their role (

Snapshot and upload the ID, Target, Input and

Rejected variables here)

.

1.     

Customer ID – ID

2.     

Target Buy – Target

3.     

Demcluster – Rejected

4.     

Target Amount – Rejected

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Calculate the accuracy of the model given the confusion matrix below

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In general, you can say that a model fits the

data well when the value of which of the following are higher?

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Odds Ratios can be use for the following

situations

EXCEPT.

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The following shows the cross-tabulation between

risky customers and non-risky customers for loyal customers with the banks and

non-loyal customers.

What is the

odds of getting a

risky customer under the Group of loyal customers

as compared

to

non-loyal customers.

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The following shows the cross-tabulation between

risky customers and non-risky customers for loyal customers with the banks and

non-loyal customers.

What is

the odds ratio for risky customers as compared to non-risky customers for loyal

customers.

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100%
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Which statement about binary logistic regression

is

False?

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