What are two user parameters that can be used in altering

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Questions:

Describe what is happening in the following below cases.
1. An RRSP model is developed from a random sample of bank's customer and is applied to customers over the age of 55 and performs miserably. Why?
2. A logistic regression model performs the same as a multiple regression in predicting response. Why?
3. What are two user parameters that can be used in altering the shape of a decision tree?
4. A decision tree model is used over a logistic regression despite the fact that both models perform equally well. Why?
5. What is the one advantage in building a deep learning model over a logistic regression model.

1. A person makes 50 purchases of bread and 100 purchases of milk. Yet, given that person purchases milk, provide a scenario of where there is dependence between purchase of milk and purchase of bread.

2. In watching Netflix films, what would be the direction of the correlation coefficient if both horror and thriller films were presented to the viewer ?

3. What might the correlation coefficient be if comedy films were sometimes recommended to the viewer?
4. How might you determine the optimum # of clusters?

 

Reference no: EM133395884

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