How well did the model perform

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Reference no: EM133792094

Assignment

The credit approval: dataset where you are determining if someone will be approved for a credit card.

1. Clean your dataset to turn categorical values into numerical ones. One-hot encoding is likely the answer, but it depends on the dataset. Your data may have ordinal columns, for example where one-hot encoding is not as appropriate.

2. Perform univariate linear regression on the dataset. Select your variable to predict. How well did this model perform? Is this a good approach for this dataset? Why or why not?

3. Perform KNN on this dataset. As part of this, write a function that selects the optimal value of k. How well did this model perform?

4. Work with your dataset to perform logistic regression. How well did this perform?

5. Perform normalization on your dataset. Does it change the performance for 2-4? What is the best measure of performance for your dataset (accuracy or something else) and why?

Reference no: EM133792094

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