Description
In Exercise 6, you will explore logistic regression techniques using RapidMiner, focusing on their application in binary classification problems. This exercise aims to build your proficiency in logistic regression analysis, especially in scenarios where the response variable is categorical. By completing this exercise, you will gain experience in identifying significant predictors, developing logistic regression models, and critically evaluating their performance in classification tasks.
PART 1: MYEDUCATOR MULTIPLE CHOICE QUESTIONS
Task: Complete the questions titled Logistic Regression in RapidMiner at the end of Chapter 9 in MyEducator.
Submission: You do not need to submit the answers to these questions here.
PART 2: PRACTICAL DATA ANALYSIS EXERCISE
DATA FILES: DOWNLOAD CHAPTER09EXERCISE_TRAINING.CSV
Logistic Regression Modeling
Predictor Identification:
Task: Identify and interpret the statistically significant predictors in the dataset.
Method: Utilize p-values to determine statistically significant predictors.
Submission: Record the significant predictors identified.
Model Performance Evaluation:
Task: Evaluate the effectiveness of your logistic regression model.
Method: Utilize the ‘Performance(Binomial Classification)’ operator in RapidMiner to analyze key metrics such as accuracy, false negatives, and false positives.
Submission: Present a comprehensive analysis and interpretation of these performance metrics.
Submission
Compile necessary screenshots and your discussion into a single Word document and submit it here.
Organize the document clearly, with each section appropriately labeled and structured.
The only thing you have to work on is the 9.12 exercise; it doesn’t matter how many questions you get right for the multiple questions. The only thing that matters screenshots of the models you make in Rapid Minor. There are clear instructions and videos on making the models in Rapid Minor if you click on 9.4 to 9.9.
Access everything on https://app.myeducator.com/account/login/
I will give you my log in. This will be chapter 9
