HOMEWORK

Homework 1:
p. 46 in Cios book,Chapter 3,  Exercises 1 and 4

Homework 2:
p. 66 from Cios book, Chapter 4,  Exercises 7 and 8

Homework 3:
p.90 from Cios book, Chapter 5, Exercises 4, 5, 6, 7, 8, 9

Homework 4:
p. 305 from Cios book, Chapter 10, Exercises 1, 2, 5.

Homework 5:
p. 416 from Cios book, Chapter 12, Exercise 5.

Homework 6:
Retrieve the "IRIS" Data set from the University of California Machine Learning
depository and using WEKA: 
(a)Derive two decicion tree classifier  models, using two of 
the decision tree algorithms in WEKA. Compare the resulting models.
(b)Cluster the non goal attributes using the SimpleKMeans algorithm and the EM algorithm
   and compare the two models.
(c)In part (a), instead of using all the predictive variables, use WEKA's attribute selection
   feature (see Witten's section 10.8) to select the best 2 input variables. If only these 
   two variables are used to build the models in (a),(b), are the resulting models the same,
   better or worse?