STATS 216V
Homework 4 Problem 1
(a) Plot of test MSE for Bagging and Random Forest
(b) Importance of features
Yu Zhang
STATS 216V
Homework 4 Problem 1
Yu Zhang
Two measures of variable importance are
Stats216: Session 8
Predicting ALS Disease Progression
ALS (amyotrophic lateral sclerosis), or Lou Gehrigs disease, is a fatal neurodegenerative disease with no
known cure and few known causes. In Jul
STATS 216 Introduction to Statistical Learning
Stanford University, Summer 2015
Problem Set 3 Solutions
Total: 65 points
1. 14 points: one point for each correct answer (a, b, and c i-v) and one point
STATS216v Introduction to Statistical Learning
Stanford University, Summer 2016
Problem Set 2
Due: July 15
Remember the university honor code. All work and answers must be your own.
Problem 1
Suppose
STATS216v Introduction to Statistical Learning
Stanford University, Summer 2016
Problem Set 2 (Solutions)
Total: 100 points
Problem 1
10 points. Grading notes: 5 points for each part. Identifying the
STATSZ 16V
(3)
(bl
Homework 3 — Problem 1 Yu Zhang
Best subset selection has the smallest training RSS.
Because Best subset selection considers all the possible combinations of models, while the rest
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STATS216v Introduction to Statistical Learning
Stanford University, Summer 2015
Problem Set 1
Due: Friday, July 3
Remember the university honor code. All work and answers must be your own.
1. In this
STATS 216 Introduction to Statistical Learning
Stanford University, Summer 2015
Problem Set 2 Solutions
Total: 65 points
1. 15 points
Grading notes: Each part is worth 3 points, 2 for the correct answ
STATS216v Introduction to Statistical Learning
Stanford University, Summer 2016
Problem Set 3 (Solutions)
Total: 100 points
Problem 1
Grading notes: this problem is worth 15 points. (a,b,c): 5 points
STATS216v Introduction to Statistical Learning
Stanford University, Summer 2015
Problem Set 2
Due: Friday, July 17
Remember the university honor code. All work and answers must be your own.
1. Suppose
STATS 216 Introduction to Statistical Learning
Stanford University, Winter 2015
Problem Set 2
Due: Wednesday, February 10, 2016
Remember the university honor code. All work and answers must be your ow
STATS 216 Introduction to Statistical Learning
Stanford University, Winter 2015
Problem Set 2 Solutions
Total: 70 points
1. Add me 4 points
Grading notes: 2 points for each part. Identifying the corre
STATS216v Introduction to Statistical Learning
Stanford University, Summer 2016
Problem Set 1
Due: July 1
Remember the university honor code. All work and answers must be your own.
Problem 1
Explain w
STATS216v Introduction to Statistical Learning
Stanford University, Summer 2015
Problem Set 3
Due: Friday, July 31
Remember the university honor code. All work and answers must be your own.
1. We do b
STATS216v Introduction to Statistical Learning
Stanford University, Summer 2015
Problem Set 4
Due: Wednesday, August 12
Remember the university honor code. All work and answers must be your own.
1. Re
Stats216: Session 2
Linear Regression Analysis of NCAA Basketball Data
In this in-class session, we will analyze a data set containing the outcomes of every game in the 2012-2013
regular season, and t
Stats216: Session 2
Linear Regression Analysis of NCAA Basketball Data
In this in-class session, we will analyze a data set containing the outcomes of every game in the 2012-2013
regular season, and t
Regression and Simulation
This is an introductory R session, so it may go slowly if you have never used R before. Do not be discouraged.
A great way to learn a new language like this is to plunge righ
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STATSQlﬁ: Problem Set 1
[Ruixi Lin] — [r1in2]
Jenner}; 25, 2016
An eccncniist wents tc predict the price per squere fcct hesed
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Stats216: Session 2
Linear Regression Analysis of NCAA Basketball Data
In this in-class session, we will analyze a data set containing the outcomes of every game in the 2012-2013
regular season, and t
Stats216: Session 2
Linear Regression Analysis of NCAA Basketball Data
In this in-class session, we will analyze a data set containing the outcomes of every game in the 2012-2013
regular season, and t
Regression and Simulation
This is an introductory R session, so it may go slowly if you have never used R before. Do not be discouraged.
A great way to learn a new language like this is to plunge righ
STATS 216 Introduction to Statistical Learning
Stanford University, Winter 2016
Problem Set 3
Due: Wednesday, February 24, 2016
Remember the university honor code. All work and answers must be your ow
Vectorization, Timing, and Parallelization
Stats 216
27 January 2016
In this class were going to take a step back from statistical analysis and instead take a closer look at whats
going on under the h
Vectorization, Timing, and Parallelization Solutions
Stats 216
27 January 2016
In this class were going to take a step back from statistical analysis and instead take a closer look at whats
going on u
Statistics 216
Homework 1, due Wednesday Jan 31, 2018.
If you were to look, you may find solutions to some of these problems on the web or elsewhere. However,
you are here to learn, and so we ask you