masafumi330 / kaggle_MMLM2022

kaggle "MMLM 2022" competition repo.
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スクリーンショット 2022-02-26 23 29 38

kaggle_MMLM2022

kaggle "MMLM 2022" competition repo.

To-Do

Setup

Installation

$ git clone --recursive https://github.com/masafumi330/kaggle_MMLM2022.git
$ sudo apt install cmake build-essential libboost-dev libboost-filesystem-dev
$ cd {your_name}/LightGBM
$ mkdir build && cd build
$ cmake -DUSE_GPU=1 -DOpenCL_LIBRARY=/usr/local/cuda/lib64/libOpenCL.so -DOpenCL_INCLUDE_DIR=/usr/local/cuda/include/ ..
$ make -j7
$ cd ../python-package
$ sudo python setup.py install --precompile --gpu --cuda

Download Data

pip install --user kaggle
# check if ~/.local/bin exists in $PATH
cd {your_name}/workspace
mkdir data && cd data
kaggle competitions download -c mens-march-mania-2022
unzip mens-march-mania-2022.zip

mkdir -p /workspace/{your_name}/data/ncaa-men-538-team-ratings
cd /workspace/{your_name}/data/ncaa-men-538-team-ratings
touch 538ratingsMen.csv
# write https://www.kaggle.com/raddar/ncaa-men-538-team-ratings?select=538ratingsMen.csv 
# into 538ratingsMen.csv

Submission

score issues who note
0.00069 #15 Mine add parameters vol.1 (notebook)
0.17689 #12 Mine AutoLightGBM with GPU
0.53075 #11 Mine LightGBM without tuning
0.54140 #10 Mine not use strategy
0.56574 #10 Mine safe strategy
0.65036 #10 Mine risky strategy