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mlb-game-prediction-v2.0's Introduction

Version 2.0 of my MLB Game Prediction model

This began as my final project for CS50 and has evolved into a research project I'm currently writing a paper on. V1.0 had a maximum accuracy of 57.2%, compared to student averages of 55-56% with a logistic regression model. Target accuracy is up to 59-60%, bringing in data from the past decade worth of seasons.

Executables:

Main.py

Main.py searches through the roster, gamelog, and pbp (Play-by-Play) data to create combined.csv, test.csv, and train.csv. Test and train are the same data as combined, just split into prior to 2022 and after 2022 for train and test respectively.

Train.py

Train.py accesses data in combined.csv, or test/train.csv (depending on the configuration in log_games.py), builds a Linear Regresion model off of it and tests it.

Disclaimer: The information used here was obtained free of charge from and is copyrighted by Retrosheet. Interested parties may contact Retrosheet at "www.retrosheet.org".

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mlb-game-prediction-v2.0's Issues

Where is Test.py

Sorry,

One last question, I don't see Test.py in your src file, and could you clarify what the output result is? is it a game predictor for the current games/season or last?

Thanks again!

Issue Running Main and Train

I receive the following errors when running main then train.py

main.py

--------------------------------------------------
LOADING ROSTERS
FAILED TO OPEN ROSTER ros/2023/ANA2023.ROS
--------------------------------------------------

         10 function calls in 0.000 seconds

   Ordered by: standard name

   ncalls  tottime  percall  cumtime  percall filename:lineno(function)
        1    0.000    0.000    0.000    0.000 <string>:1(<module>)
        1    0.000    0.000    0.000    0.000 main.py:7(main)
        1    0.000    0.000    0.000    0.000 parse.py:8(parse_roster)
        1    0.000    0.000    0.000    0.000 {built-in method builtins.exec}
        4    0.000    0.000    0.000    0.000 {built-in method builtins.print}
        1    0.000    0.000    0.000    0.000 {built-in method io.open}
        1    0.000    0.000    0.000    0.000 {method 'disable' of '_lsprof.Profiler' objects}

train.py

Traceback (most recent call last):
  File "./MLB-Game-Prediction-V2.0/src/train.py", line 22, in <module>
    data = pd.read_csv('combined.csv').drop(columns=['Date', 'Home', 'Visitor', 'GameID'], axis=1)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "./mlb-game-prediction-v2/lib/python3.11/site-packages/pandas/io/parsers/readers.py", line 1026, in read_csv
    return _read(filepath_or_buffer, kwds)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "./mlb-game-prediction-v2/lib/python3.11/site-packages/pandas/io/parsers/readers.py", line 620, in _read
    parser = TextFileReader(filepath_or_buffer, **kwds)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "./mlb-game-prediction-v2/lib/python3.11/site-packages/pandas/io/parsers/readers.py", line 1620, in __init__
    self._engine = self._make_engine(f, self.engine)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "./mlb-game-prediction-v2/lib/python3.11/site-packages/pandas/io/parsers/readers.py", line 1880, in _make_engine
    self.handles = get_handle(
                   ^^^^^^^^^^^
  File "./mlb-game-prediction-v2/lib/python3.11/site-packages/pandas/io/common.py", line 873, in get_handle
    handle = open(
             ^^^^^
FileNotFoundError: [Errno 2] No such file or directory: 'combined.csv'

Running

Is there an order to running your scripts or just run main?

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