Spring 2019 Project 1: Martingale - Revision history

Ssung40: /* Tasks */

2019-01-08T19:11:48Z

Tasks

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What to turn in

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Tasks

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Contents of the report

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Contents of the report

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Contents of the report

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Rubric

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Rubric

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Rubric

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 *** <tt>martingale.py</tt>: Main project file to use as a template for your code.
-You should change only <tt>martingale.py</tt>.  All of your code should be in that one file.  Do not create additional files.  It should always remain in and run from the directory <tt>ML4T_2018Fall/martingale/</tt>.  Leave the copyright information at the top intact.
+You should change only <tt>martingale.py</tt>.  All of your code should be in that one file.  Do not create additional files.  It should always remain in and run from the directory <tt>ML4T_2019Spring/martingale/</tt>.  Leave the copyright information at the top intact.
 '''Insert your GT User ID and GT ID number'''

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 * Your code as <tt>martingale.py</tt>
-Do not submit any other files. Note that your charts should be included in the report, not submitted as separate files.  Also note that if we run your submitted code, it should generate all 5 figures as png files.
+Do not submit any other files. Note that your charts should be included in the report, not submitted as separate files.  Also note that if we run your submitted code, it should generate all 5 figures as png files. Not submitting a report will result in a 0 for the assignment.
 ==Rubric==

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 '''Get the template code for this project'''
-This project is available here: [[File:19spring_martingale.zip]]. Download and extract its contents into the base directory (ML4T_18fall). Once you've done this, you should see the following directory structure:
+This project is available here: [[File:19spring_martingale.zip]]. Download and extract its contents into the base directory (ML4T_2019Spring). Once you've done this, you should see the following directory structure:
-* <tt>ML4T_2018Fall/</tt>: Root directory for course
+* <tt>ML4T_2019Spring/</tt>: Root directory for course
 ** <tt>data/</tt>: Location of data
 ** <tt>grading/</tt>: Grading libraries used by the individual grading scripts for each assignment.

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 # In Experiment 2, estimate the probability of winning $80 within 1000 sequential bets.  Explain your reasoning.
 # In Experiment 2, what is the estimated expected value of our winnings after 1000 sequential bets? Explain your reasoning.
-# In Experiment 2, does the standard deviation reach a maximum value then converge or stabilize as the number of sequential bets increases?  Explain why it does (or does not).
+# In Experiment 2, does the standard deviation reach a maximum value then stabilize as the number of sequential bets increases?  Explain why it does (or does not).
 # Include figures 1 through 5.

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 # In Experiment 1, estimate the probability of winning $80 within 1000 sequential bets.  Explain your reasoning.
-# In Experiment 1, what is the expected value of our winnings after 1000 sequential bets? Explain your reasoning. Go here to learn about expected value: https://en.wikipedia.org/wiki/Expected_value
+# In Experiment 1, what is the estimated expected value of our winnings after 1000 sequential bets? Explain your reasoning. Go here to learn about expected value: https://en.wikipedia.org/wiki/Expected_value
 # In Experiment 1, does the standard deviation reach a maximum value then stabilize as the number of sequential bets increases?  Explain why it does (or does not).
 # In Experiment 2, estimate the probability of winning $80 within 1000 sequential bets.  Explain your reasoning.
-# In Experiment 2, what is the expected value of our winnings after 1000 sequential bets? Explain your reasoning.
+# In Experiment 2, what is the estimated expected value of our winnings after 1000 sequential bets? Explain your reasoning.
 # In Experiment 2, does the standard deviation reach a maximum value then converge or stabilize as the number of sequential bets increases?  Explain why it does (or does not).
 # Include figures 1 through 5.

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 * Does the code run without crashing? (-10 points if not)
 * Does the code generate appropriate charts written to png files? (-10 points each up to a max of -20 if not)
-* Does the implemented code reflect the project requirements (Up to -10 points)
+* Does the implemented code reflect the project requirements? (Up to -10 points if not)
 ==Required, Allowed & Prohibited==

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 '''Report'''
-* Are the questions answered approximately correctly? (Up to -5 points for each incorrect answer)
+* Are the questions answered correctly? (Up to -5 points for each incorrect answer)
 * Is the reasoning for each question correct and supported by the evidence? (Up to -5 points for each if incorrect)
 * Are each of the charts provided and correct? (Up to -8 points for each if incorrect)