Datasets:

Modalities:
Tabular
Text
Formats:
csv
ArXiv:
DOI:
Libraries:
Datasets
pandas
License:
pfilonenko commited on
Commit
2cc9c7e
·
verified ·
1 Parent(s): 29f26ff

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +1 -0
README.md CHANGED
@@ -34,6 +34,7 @@ data
34
  In these files, there are following fields:
35
 
36
  1) PARAMETERS OF SAMPLE SIMULATION
 
37
  - **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;
38
  - **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);
39
  - **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;
 
34
  In these files, there are following fields:
35
 
36
  1) PARAMETERS OF SAMPLE SIMULATION
37
+ - **iter** is an iteration number of the Monte Carlo replication (in total, 37650);
38
  - **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;
39
  - **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);
40
  - **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;