Update README.md

README.md

@@ -32,6 +32,7 @@ data
 
 # Dataset & Samples
 In these files there are following fields:
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 --- sample parameters ---
 - **sample** is a type of the sample (train, val, test). These field is need to split dataset into train-validate-test samples for ML-model training;
 - **H0_H1** is a true hypothesis: if **H0**, then test statistics were simulated under S1(t)=S2(t); if **H1**, then test statistics were simulated under S1(t)≠S2(t);
@@ -41,6 +42,7 @@ In these files there are following fields:
 - **perc** is a set (expected) censoring rate for the samples 1 and 2;
 - **real_perc1** is an actual censoring rate of sample 1;
 - **real_perc2** is an actual censoring rate of sample 2;
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 --- classical two-sample tests ---
 - **Peto_test** is a statistic of the Peto and Peto’s Generalized Wilcoxon test (which is computed on two samples under parameters described above);
 - **Gehan_test** is a statistic of the Gehan’s Generalized Wilcoxon test;
@@ -58,6 +60,7 @@ In these files there are following fields:
 - **WLg_PetoPrentice_test** is a statistic of the Weighted Logrank test (weighted function: 'Peto-Prentice');
 - **WLg_Prentice_test** is a statistic of the Weighted Logrank test (weighted function: 'Prentice');
 - **WKM_test** is a statistic of the Weighted Kaplan-Meier test;
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 --- proposed ML-methods for two-sample problem ---
 - **CatBoost_test** is a statistic of the proposed ML-method based on the CatBoost framework;
 - **XGBoost_test** ;