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Update README.md
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README.md
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In these files, there are following fields:
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1) PARAMETERS OF SAMPLE SIMULATION
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- **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;
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- **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);
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- **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;
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In these files, there are following fields:
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1) PARAMETERS OF SAMPLE SIMULATION
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- **iter** is an iteration number of the Monte Carlo replication (in total, 37650);
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- **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;
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- **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);
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- **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;
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