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@@ -14,7 +14,7 @@ This dataset contains the synthetic data simulated by the Monte Carlo method and
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  # Repository
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- The files of this dataset has following structure:
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  ~~~
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  data
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  ├── 1_raw
@@ -26,9 +26,9 @@ data
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  └── dataset_with_ML_pred.tsv.gz
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  ~~~
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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:
@@ -40,22 +40,22 @@ 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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  - **LightAutoML_test**,
 
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  # Repository
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+ The files of this dataset have following structure:
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  ~~~
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  data
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  ├── 1_raw
 
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  └── dataset_with_ML_pred.tsv.gz
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  ~~~
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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 Gehan’s Generalized Wilcoxon test;
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+ - **logrank_test** is a statistic of the logrank test;
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+ - **CoxMantel_test** is a statistic of the Cox-Mantel test;
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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** is a statistic of the ;
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  - **CatBoost_test**,
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  - **XGBoost_test**,
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  - **LightAutoML_test**,