Datasets:
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README.md
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2) **sample_train.tsv.gz** and **sample_simulation.tsv.gz** are train and test samples splited from the **two_sample_problem_dataset.tsv.gz**. These files must be located in the "data/2_samples/";
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3) **dataset_with_ML_pred.tsv.gz** is the test sample supplemented by the predictions of the proposed ML-methods. This file must be located in "data/3_dataset_with_ML_pred/".
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- **sample** is a sample type (train, val, test);
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- **H0_H1** is a true hypothesis (H0 or H1);
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- **Hi** is an alternative hypothesis (H01-H09, H11-H19 or H21-H29);
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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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- **perc** is the set censoring rate for the samples 1 and 2;
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- **Peto_test**
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- **Gehan_test**
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- **logrank_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**
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- **CatBoost_test**
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- **XGBoost_test**
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- **LightAutoML_test**
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2) **sample_train.tsv.gz** and **sample_simulation.tsv.gz** are train and test samples splited from the **two_sample_problem_dataset.tsv.gz**. These files must be located in the "data/2_samples/";
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3) **dataset_with_ML_pred.tsv.gz** is the test sample supplemented by the predictions of the proposed ML-methods. This file must be located in "data/3_dataset_with_ML_pred/".
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In these files there are following fields:
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- **sample** is a sample type (train, val, test);
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- **H0_H1** is a true hypothesis (H0 or H1);
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- **Hi** is an alternative hypothesis (H01-H09, H11-H19 or H21-H29);
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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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- **perc** is the set censoring rate for the samples 1 and 2;
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Values of classical two-sample tests under right-censored data:
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- **Peto_test**
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- **Gehan_test**
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- **logrank_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**
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Values of the proposed ML-based methods:
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- **CatBoost_test**
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- **XGBoost_test**
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- **LightAutoML_test**
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