Question 4 (5 points) Consider the following two-dimensional…

Question 4 (5 points) Consider the following two-dimensional dataset with two classes (shown with “circles” and “crosses”), and its decision surface performance as computed using k-Nearest Neighbor (kNN) algorithm with . Describe in words the major differences in the decision surfaces, and provide a discussion about the voting system utilized to obtain each one of these decision surfaces. Justify your answer.

At around 7 am, as Robert was getting ready for work, his so…

At around 7 am, as Robert was getting ready for work, his son had a severe asthma attack.  He rushed his son to the emergency room and received immediate treatment.  His son improved and he was able to take him home.  Robert then called his supervisor and told him about the morning’s events and requested that the time off be considered FMLA leave.  His supervisor rejected Robert’s request because he had not notified the office that morning.  Is Robert’s supervisor correct in rejecting Robert’s request?

The following represents a set of results from a binary logi…

The following represents a set of results from a binary logistic regression predicting whether or not customers called the service center for help with their most recent purchase. The model is based on the number of years the customer has been buying from us (YearsCust), gender (females coded as 1), the number of days until their contract expires (ContractDays), and the number of purchases they have made from us (NumPurch). Use these results to answer the following five questions: Parameter df Estimate SE Wald χ2  Pr < χ2  Std. Est.  Exp(Est) Intercept 1 0.830 1.127 0.54 0.4614 YearsCust 1 -0.150 0.080 3.52 0.0608 -0.1146 0.8607 Gender (F) 0.310 0.020 240.25