ST635 Homework 5 Solution
An Exercise on Classification Tree
1. Create a training set containing a random sample of 800 observations, and a test set
containing the remaining observations. (10 points)
Solution:
library("ISLR")
id.train = sample(1:1070,800,
Ten practical activities for
business English classes
Helen Strong
Business Communication Skills Trainer
Teacher Trainer, Materials writer, MELTA Chair
IATEFL-BESIG Anual Conference, 1416 November 2014
Outcome
At the end of this workshop participants will
50 Debate
Prompts for Kids
by Patrick Daley and Michael S. Dahlie
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50 Debate Prompts for Kids Daley & Dahlie, Scholastic Teaching Resources
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ST635 Homework 1 Solution
Written Questions:
1. Hitters data (35 points: 10+10+5+5+5)
(a) Use appropriate graphics and statistics to study the linear association among the
set of variables. According to the result, which variable has the strongest linear
ST635 Homework 2 Solution
Written Questions:
1. US Air Pollution (55 points)
(a) According to the heat map, are there any outliers? (5 points)
Solution: Observations for city Chicago has very large z-scores. Therefore,
Chicago is a possible outlier in the
ST635 Intermediate Statistical Analysis for Business
Spring 2016
Lectures: Mondays 5:00 pm 7:20 pm
Classroom: AAC 260
The first class meeting is on Monday, January 25th 2016.
Instructor: Prof. Qing (Wendy) Wang
Email: qwang@bentley.edu
Office: Morison 393
ST635 Homework 4 Solution
Spring 2016
Written Questions:
1. Default on Credit Card Debt
(a) Fit a binary logistic regression model on the training data set to predict default
using the other three variables. Based on the fitted model, compute the misclass
Chapter 1: Introduction and Use R!
Qing (Wendy) Wang
Spring, 2015
ST635 Intermediate Statistical Modeling for Business
Chapter 1: Introduction and Use R!
Mathematical Sciences, Bentley University
Reading:
Chapter 1 of the reference textbook
Using R in ST6
Chapter 6: Decision Tree
Qing (Wendy) Wang
Spring, 2016
ST635 Intermediate Statistical Modeling for Business
Chapter 6: Decision Tree
Mathematical Sciences, Bentley University
Outline:
Regression Tree
Classification Tree
Advantages and Disadvantages
Advan
ST635 HW3 Solution
Wendy Wang
We consider a stock market data set, Smarket, available in ISLR library.
library(ISLR)
attach(Smarket)
names(Smarket)
# [1] "Year"
# [7] "Volume"
"Lag1"
"Today"
"Lag2"
"Lag3"
"Direction"
"Lag4"
"Lag5"
This data set consists o
The class imbalance problem
In the Caravan data, there is only 6% of positive samples among
5822 and we found KNN, Logistic model, and LDA cannot beat
the naive classifier that labels every case negative, in terms of the
true positive rate. Problems of th
Chapter 4: Logistic and Other Generalized Linear
Regression Models
Qing (Wendy) Wang
Spring, 2016
ST635 Intermediate Statistical Modeling for Business
Chapter 4: Logistic and Other Generalized Linear Regression Models
Mathematical Sciences, Bentley Univer
t LFT : iL.t.J
ECONOMICS EDUCATION
RESOURCE CENTRE
Secondary Economics
Textbook Reviews
THE CENTRE FOR
EPENDENT
STUD I E S
1 Introduction
CONTENTS
1
3
Tim Riley
2 Ross Gittins, Gittins' Guide to Economics and
Garry Bell (ed.) The Australian Economy A St