6 (six) multi-part questions, with point values noted for each question.

Description

Problems #1 (20 points)

Using an “Addiction” dataset, a researcher has prepared the following table of patient counts:

Ethnicity	Age Category	Alcohol	Cocaine	Heroin	Row Total
Black	Old	30	48	17	95
	Young	25	72	13	110
Hispanic	Old	7	0	5	12
	Young	8	7	19	34
White	Old	60	2	17	79
	Young	26	10	34	70
Column Total		156	139	105	400

Use the table above and Excel to classify patient addiction type (Alcohol, Cocaine, Heroin) using Ethnicity and Age Category:

• Construct a C4.5 decision tree (two levels deep only).

Problem #2 (15 points)

Use R/Python and the NYNJ_zipcode_population.csv file to cluster the zip codes of New Jersey and New York into 3 clusters. Use “Low_income” percent and “Total_Pop” as clustering attributes. (Algorithm=hierarchical, linkage=simple).

• What are the members of each cluster?
• Is there an unusual zip code? If so, what is the zip code?

Problem #3 (10 points)

Use R/Python and the NYNJ_zipcode_population.csv file to cluster the zip codes of New Jersey and New York into 5 clusters. Use “Low_income” percent and “Total_Pop” as clustering attributes (Algorithm=kmeans).

• What are the members of each cluster?

Problem #4 (20 points)

Use an Artificial Neural Network, with 10 nodes in the hidden layer, learning rate of .001, and the standard scaler (StandardScaler) to develop a classification model for the heart_attack .CSV dataset using 30% of the data as training data. (See the data dictionary below).

• What is the model accuracy ?

Problem #5 (20 points)

Use Random Forest to develop a classification model for the heart_attack .CSV dataset using 30% of the data as training data. (See the data dictionary below).

• What is the most important feature? Why?
• Show your model metrics.

Problem #6 (15 points)

Using data in the table below, construct a Neural Network with one Output Layer (z) and one Hidden Layer (A and B).

• Calculate the predicted outcome if the inputs to the input nodes are (x=1, Node 1=.4, Node 2=.7 Node 3= .7 and Node 4=.2).
• Adjust the weight if the actual output is 0.8500

Data Dictionary

Data dependencies: NYNJ_zipcode_population.csv, Heart_attack.CSV