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Using “economics” data set and ggplot2, visualize unemployment field of the dataset as shown below:

Using “pima” dataset and ggplot2, visualize Body Mass Index BMI  field of the dataset as shown below:

Using “pima” dataset and ggplot2, visualize the association between age categories that you make as x = age, and  y = glu field of the dataset,  as shown below:

• analyze data and apply Naïve Bayes Classifier for Machine Learning Classification,
• analyze data and apply KNN Algorithm for Machine Learning Classification,
• interpret the result of Naïve Bayes and KNN and find optimum models, and 
• creatively apply Naïve Bayes and KNN in business scenarios.

The following Confusion Matrix which shows the predictions about buying behavior of customers

Question 1

How many true positives do you observe?

Question 2

How many true negatives do you observe?

Question 3

How many false positives do you observe?

Question 4

How many false negatives do you observe?

Question 5

What is the sensitivity of the model?

Question 6

What is the specificity of the model?

Question 7

In the following ROC chart, which model is better and why?