Logistic Regression

For today’s assignment, you have 2 options however it is recommended to practice both.

Choose one of the following options as your assignment today:

• Option 1 [Challenging]
  • Use the tips dataset and apply a logistic regression model to the tips dataset. Bin a continuous variable (tips column into 3 different categories).
  • Your 3 categories for your continuous variable will be:
    • Bad Tipper
    • Good Tipper
    • Excellent Tipper
  • Also, create a linear regression that predicts the tips column as well.
  • Compare your results from the linear and logistic regression using the following criteria:
    • If your predicted regression is exceeding 10% tolerance (error) then consider it a false prediction, otherwise, it is true.
    • Example: If the actual value is $1 and your prediction is [0.9, 1.10] this is true, otherwise it is false.
    • Compare the false prediction between your classification and regression models and see which one performed better.
• Option 2 [Basic]
  • Choose a dataset that has not been used in the Bootcamp.
    • Your dataset cannot have all numerical columns.
    • Do not spend more than 30 minutes looking for your dataset.
  • Choose a target for classification.
  • Perform data cleaning, EDA, and preprocessing techniques when applicable before creating your model.
  • Report your accuracy, recall, and precision on your test set at the end.

Welcome to one of the bestassignmenthelpcompanies  online .

·         Do you want to order for a customized assignment help task?

·          Click on the order now button 

·         Set up your topic, Fix the number of pages, Fix your Order instructions 

·         Set up your deadline, upload the necessary files required to complete the task, Complete the payment.

 We delivery high quality and non plagiarized tasks within the stipulated time given 

SL