Datasets:
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README.md
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- **two_sample_problem_dataset.tsv.gz** is a raw simulated data. In the [github repositiry](https://github.com/pfilonenko/ML_for_TwoSampleTesting), this file must be located in the _ML_for_TwoSampleTesting/proposed_ml_for_two_sample_testing/data/1_raw/_;
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- **sample_train.tsv.gz** and **sample_simulation.tsv.gz** are train and test samples splited from the **two_sample_problem_dataset.tsv.gz**. In the [github repositiry](https://github.com/pfilonenko/ML_for_TwoSampleTesting), these files must be located in the _ML_for_TwoSampleTesting/proposed_ml_for_two_sample_testing/data/2_samples/_;
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- **dataset_with_ML_pred.tsv.gz** is the test sample supplemented by the predictions of the proposed ML-methods. In the [github repositiry](https://github.com/pfilonenko/ML_for_TwoSampleTesting), this file must be located in _ML_for_TwoSampleTesting/proposed_ml_for_two_sample_testing/data/3_dataset_with_ML_pred/_.
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# Dataset & Samples
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In these files there are following fields:
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- **perc** is a set (expected) censoring rate for the samples 1 and 2;
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- **real_perc1** is an actual censoring rate of sample 1;
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- **real_perc2** is an actual censoring rate of sample 2;
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- **Peto_test
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- **Gehan_test
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- **logrank_test
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- **CoxMantel_test
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- **BN_GPH_test
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- **BN_MCE_test
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- **BN_SCE_test
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- **Q_test
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- **MAX_Value_test
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- **MIN3_test
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- **WLg_logrank_test
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- **WLg_TaroneWare_test
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- **WLg_Breslow_test
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- **WLg_PetoPrentice_test
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- **WLg_Prentice_test
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- **WKM_test** are test statistics of classical two-sample tests under right-censored data;
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- **CatBoost_test**,
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- **XGBoost_test**,
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- **two_sample_problem_dataset.tsv.gz** is a raw simulated data. In the [github repositiry](https://github.com/pfilonenko/ML_for_TwoSampleTesting), this file must be located in the _ML_for_TwoSampleTesting/proposed_ml_for_two_sample_testing/data/1_raw/_;
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- **sample_train.tsv.gz** and **sample_simulation.tsv.gz** are train and test samples splited from the **two_sample_problem_dataset.tsv.gz**. In the [github repositiry](https://github.com/pfilonenko/ML_for_TwoSampleTesting), these files must be located in the _ML_for_TwoSampleTesting/proposed_ml_for_two_sample_testing/data/2_samples/_;
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- **dataset_with_ML_pred.tsv.gz** is the test sample supplemented by the predictions of the proposed ML-methods. In the [github repositiry](https://github.com/pfilonenko/ML_for_TwoSampleTesting), this file must be located in the _ML_for_TwoSampleTesting/proposed_ml_for_two_sample_testing/data/3_dataset_with_ML_pred/_.
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# Dataset & Samples
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In these files there are following fields:
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- **perc** is a set (expected) censoring rate for the samples 1 and 2;
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- **real_perc1** is an actual censoring rate of sample 1;
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- **real_perc2** is an actual censoring rate of sample 2;
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- **Peto_test** is a statistic of the Peto and Peto’s Generalized Wilcoxon Test which is computed on two samples under parameters described above;
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- **Gehan_test** is a statistic of the ,
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- **logrank_test** is a statistic of the ,
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- **CoxMantel_test** is a statistic of the ,
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- **BN_GPH_test** is a statistic of the ,
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- **BN_MCE_test** is a statistic of the ,
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- **BN_SCE_test** is a statistic of the ,
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- **Q_test** is a statistic of the ,
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- **MAX_Value_test** is a statistic of the ,
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- **MIN3_test** is a statistic of the ,
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- **WLg_logrank_test** is a statistic of the ,
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- **WLg_TaroneWare_test** is a statistic of the ,
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- **WLg_Breslow_test** is a statistic of the ,
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- **WLg_PetoPrentice_test** is a statistic of the ,
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- **WLg_Prentice_test** is a statistic of the ,
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- **WKM_test** are test statistics of classical two-sample tests under right-censored data;
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- **CatBoost_test**,
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- **XGBoost_test**,
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