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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
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:
Based on Organic Dataset
Check the 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.
2.
3.
4.
Calculate the accuracy of the model given the confusion matrix below
In general, you can say that a model fits the data well when the value of which of the following are higher?
Odds Ratios can be use for the following situations
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 as compared to
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.
Which statement about binary logistic regression is
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