Update README.md

README.md

@@ -35,8 +35,8 @@ In these files there are following fields:
 
 1) PARAMETERS OF SAMPLE SIMULATION
 - **sample** is a type of the sample (train, val, test). This field is used 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);
-- **Hi** is an alternative hypothesis (H01-H09, H11-H19, or H21-H29) for S1(t) and S2(t). Detailed description of these alternatives can be found in the paper;
+- **H0_H1** is a true hypothesis: if **H0**, then samples X1 and X2 were simulated under S1(t)=S2(t); if **H1**, then samples X1 and X2 were simulated under S1(t)≠S2(t);
+- **Hi** is an alternative (H01-H09, H11-H19, or H21-H29) with competing hypotheses S1(t) and S2(t). Detailed description of these alternatives can be found in the paper;
 - **n1** is the size of the sample 1;
 - **n2** is the size of the sample 2;
 - **perc** is a set (expected) censoring rate for the samples 1 and 2;