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Title: GitHub - naszilla/tabzilla: Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?" · GitHub

Open Graph Title: GitHub - naszilla/tabzilla: Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"

X Title: GitHub - naszilla/tabzilla: Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"

Description: Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?" - naszilla/tabzilla

Open Graph Description: Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?" - naszilla/tabzilla

X Description: Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?" - naszilla/tabzilla

Opengraph URL: https://github.com/naszilla/tabzilla

X: @github

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Domain: github.com

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433 Commits	https://github.com/naszilla/tabzilla/commits/main/
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TabZilla	https://github.com/naszilla/tabzilla/tree/main/TabZilla
TabZilla	https://github.com/naszilla/tabzilla/tree/main/TabZilla
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LICENSE	https://github.com/naszilla/tabzilla/blob/main/LICENSE
LICENSE	https://github.com/naszilla/tabzilla/blob/main/LICENSE
README.md	https://github.com/naszilla/tabzilla/blob/main/README.md
README.md	https://github.com/naszilla/tabzilla/blob/main/README.md
README	https://github.com/naszilla/tabzilla
Code of conduct	https://github.com/naszilla/tabzilla
Contributing	https://github.com/naszilla/tabzilla
Apache-2.0 license	https://github.com/naszilla/tabzilla
	https://github.com/naszilla/tabzilla/blob/main/img/tabzilla_logo.png
	https://camo.githubusercontent.com/02b2deed605cb63365bf81e24f9f7b980eca9de2310dfb39e564d6b2670d879d/68747470733a2f2f696d672e736869656c64732e696f2f6372617465732f6c2f41703f636f6c6f723d6f72616e6765
https://arxiv.org/abs/2305.02997	https://arxiv.org/abs/2305.02997
	https://github.com/naszilla/tabzilla#overview
TabSurvey	https://github.com/kathrinse/TabSurvey
Running TabZilla Experiments	https://github.com/naszilla/tabzilla#running-tabzilla-experiments
PyMFE	https://github.com/ealcobaca/pymfe
Metafeature Extraction	https://github.com/naszilla/tabzilla#metafeature-extraction
OpenML	https://www.openml.org/
Adding New Datasets	https://github.com/naszilla/tabzilla#adding-new-datasets
Implementing New Models	https://github.com/naszilla/tabzilla#implementing-new-models
Preparing Python Environments	https://github.com/naszilla/tabzilla#Python
	https://github.com/naszilla/tabzilla#table-of-contents
Documentation	https://github.com/naszilla/tabzilla#documentation
Preparing Python Environments	https://github.com/naszilla/tabzilla#preparing-a-python-environment
Running TabZilla Experiments	https://github.com/naszilla/tabzilla#running-tabzilla-experiments
Experiment Script	https://github.com/naszilla/tabzilla#experiment-script
Experiment Config Parser	https://github.com/naszilla/tabzilla#experiment-config-parser
Running Individual Experiments	https://github.com/naszilla/tabzilla#running-individual-experiments
Datasets	https://github.com/naszilla/tabzilla#datasets
Dataset Class and Preprocessing	https://github.com/naszilla/tabzilla#dataset-class-and-preprocessing
Reading Preprocessed Datasets	https://github.com/naszilla/tabzilla#reading-preprocessed-datasets
Adding New Datasets	https://github.com/naszilla/tabzilla#adding-new-datasets
Metafeature Extraction	https://github.com/naszilla/tabzilla#metafeature-extraction
Implementing New Models	https://github.com/naszilla/tabzilla#implementing-new-models
Unit Tests	https://github.com/naszilla/tabzilla#unit-tests
	https://github.com/naszilla/tabzilla#documentation
Author Responsibility	https://github.com/naszilla/tabzilla/blob/main/docs/AUTHOR_RESPONSIBILITY.md
Code of Conduct	https://github.com/naszilla/tabzilla/blob/main/docs/CODE_OF_CONDUCT.md
Contributing	https://github.com/naszilla/tabzilla/blob/main/docs/CONTRIBUTING.md
Datasheet for TabZilla	https://github.com/naszilla/tabzilla/blob/main/docs/DATASHEET.md
Maintenance Plan	https://github.com/naszilla/tabzilla/blob/main/docs/MAINTENANCE_PLAN.md
	https://github.com/naszilla/tabzilla#preparing-a-python-environment
optuna	https://pypi.org/project/optuna/
scikit-learn	https://pypi.org/project/scikit-learn/
openml	https://pypi.org/project/openml
configargparse	https://pypi.org/project/ConfigArgParse/
	https://github.com/naszilla/tabzilla#creating-a-tabzilla-virtual-environment-with-venv
Mac	https://formulae.brew.sh/formula/python@3.10
python site	https://www.python.org/downloads/release/python-31012/
TabZilla/pip_requirements.txt	https://github.com/naszilla/tabzilla/blob/main/TabZilla/pip_requirements.txt
	https://github.com/naszilla/tabzilla#running-tabzilla-experiments
TabZilla/tabzilla_experiment.py	https://github.com/naszilla/tabzilla/blob/main/TabZilla/tabzilla_experiment.py
	https://github.com/naszilla/tabzilla#experiment-script
TabZilla/tabzilla_experiment_config.yml	https://github.com/naszilla/tabzilla/blob/main/TabZilla/tabzilla_experiment_config.yml
TabZilla/tabzilla_alg_handler.py	https://github.com/naszilla/tabzilla/blob/main/TabZilla/tabzilla_alg_handler.py
	https://github.com/naszilla/tabzilla#experiment-config-parser
TabZilla.tabzilla_utils.get_general_parser	https://github.com/naszilla/tabzilla/blob/main/TabZilla/tabzilla_utils.py
TabZilla/tabzilla_experiment_config.yml	https://github.com/naszilla/tabzilla/blob/main/TabZilla/tabzilla_experiment_config.yml
	https://github.com/naszilla/tabzilla#running-individual-experiments
scripts/test_tabzilla_on_instance.sh	https://github.com/naszilla/tabzilla/blob/main/scripts/test_tabzilla_on_instance.sh
	https://github.com/naszilla/tabzilla#datasets
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these installation and authentication instructions	https://openml.github.io/openml-python/main/examples/20_basic/introduction_tutorial.html#sphx-glr-examples-20-basic-introduction-tutorial-py
	https://github.com/naszilla/tabzilla#dataset-class-and-preprocessing
TabZilla.tabzilla_datasets.TabularDataset	https://github.com/naszilla/tabzilla/blob/main/TabZilla/tabzilla_datasets.py
TabZilla/tabzilla_preprocessor_utils.py	https://github.com/naszilla/tabzilla/blob/main/TabZilla/tabzilla_preprocessor_utils.py
	https://github.com/naszilla/tabzilla#reading-preprocessed-datasets
	https://github.com/naszilla/tabzilla#adding-new-datasets
	https://github.com/naszilla/tabzilla#general-non-openml-datasets
TabZilla/tabzilla_preprocessors.py	https://github.com/naszilla/tabzilla/blob/main/TabZilla/tabzilla_preprocessor_utils.py
	https://github.com/naszilla/tabzilla#openml-datasets
TabZilla/tabzilla_preprocessors_openml.py	https://github.com/naszilla/tabzilla/blob/main/TabZilla/tabzilla_preprocessors_openml.py
Here	https://openml.github.io/openml-python/develop/examples/30_extended/tasks_tutorial.html
OpenML-CC18	https://openml.github.io/openml-python/develop/examples/20_basic/simple_suites_tutorial.html#openml-cc18
	https://github.com/naszilla/tabzilla#step-1-identifying-the-dataset
browsing the lists of OpenML tasks	https://openml.github.io/openml-python/develop/examples/30_extended/tasks_tutorial.html#listing-tasks
	https://github.com/naszilla/tabzilla#step-2-inspection
	https://github.com/naszilla/tabzilla#step-3-adding-the-dataset
	https://github.com/naszilla/tabzilla#step-4-testing-pre-processing-on-the-dataset
	https://github.com/naszilla/tabzilla#metafeature-extraction
TabZilla/tabzilla_featurizer.py	https://github.com/naszilla/tabzilla/blob/main/TabZilla/tabzilla_featurizer.py
PyMFE	https://pymfe.readthedocs.io/en/latest/index.html
	https://github.com/naszilla/tabzilla#implementing-new-models
original TabSurvey readme	https://github.com/naszilla/tabzilla/blob/main/TabZilla/TabSurvey_README.md
examples here	https://github.com/naszilla/tabzilla/blob/main/TabZilla/models/baseline_models.py
	https://github.com/naszilla/tabzilla#unit-tests
TabZilla/unittests/test_expriments.py	https://github.com/naszilla/tabzilla/blob/main/TabZilla/unittests/test_experiments.py
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Code of conduct	https://github.com/naszilla/tabzilla#coc-ov-file
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