raunakdoesdev / march-madness Public

March madness data analysis for MIT 6.S079

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Name		Name	Last commit message	Last commit date
Latest commit History 17 Commits
1_Default_LightGBM		1_Default_LightGBM
2_Default_Xgboost		2_Default_Xgboost
3_Default_CatBoost		3_Default_CatBoost
EDA		EDA
Ensemble		Ensemble
data		data
docs		docs
figures		figures
old-python-files		old-python-files
scraped-team-data		scraped-team-data
src/march_madness		src/march_madness
tests		tests
.coveragerc		.coveragerc
.gitignore		.gitignore
.readthedocs.yml		.readthedocs.yml
2022_data.csv		2022_data.csv
AUTHORS.rst		AUTHORS.rst
CHANGELOG.rst		CHANGELOG.rst
CONTRIBUTING.rst		CONTRIBUTING.rst
LICENSE.txt		LICENSE.txt
README.md		README.md
README.rst		README.rst
all_data.csv		all_data.csv
app.py		app.py
correlation_heatmap.png		correlation_heatmap.png
data_generation-2022.ipynb		data_generation-2022.ipynb
data_generation.ipynb		data_generation.ipynb
data_info.json		data_info.json
features_heatmap.png		features_heatmap.png
ldb_performance.png		ldb_performance.png
ldb_performance_boxplot.png		ldb_performance_boxplot.png
leaderboard.csv		leaderboard.csv
model_dev.ipynb		model_dev.ipynb
model_test_2022.ipynb		model_test_2022.ipynb
params.json		params.json
progress.json		progress.json
pyproject.toml		pyproject.toml
requirements.txt		requirements.txt
setup.cfg		setup.cfg
setup.py		setup.py
testing_data.csv		testing_data.csv
tox.ini		tox.ini
training_data.csv		training_data.csv
xgb_model.bin		xgb_model.bin

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AutoML Leaderboard

Best model	name	model_type	metric_type	metric_value	train_time
	1_Default_LightGBM	LightGBM	logloss	0.612197	12.13
	2_Default_Xgboost	Xgboost	logloss	0.606966	7.32
	3_Default_CatBoost	CatBoost	logloss	0.602261	2.3
the best	Ensemble	Ensemble	logloss	0.600326	0.7