Data underlying the master thesis: Exploring Copula-Based Models for the Stochastic Simulation of Information Retrieval Evaluation Data
doi:10.4121/21739355.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future.
For a link that will always point to the latest version, please use
doi: 10.4121/21739355
doi: 10.4121/21739355
Datacite citation style:
Dimitris Theodorakopoulos (2022): Data underlying the master thesis: Exploring Copula-Based Models for the Stochastic Simulation of Information Retrieval Evaluation Data. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/21739355.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
This dataset contains the results of the experiments that I ran for my master thesis. The full code (and more) can be found at https://github.com/dimitris93/msc-thesisĀ
history
- 2022-12-19 first online, published, posted
publisher
4TU.ResearchData
format
.csv
organizations
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent Systems
DATA
files (4)
- 1,274,030,209 bytesMD5:
276a7d5af8f949be024d2ca495569cc4
copulas__results_extrapolate_n150000.csv - 984,337,123 bytesMD5:
a6412b56c95dfc52c5a14c296c11bbb7
copulas__results_splithalf_n250000.csv - 155,978,937 bytesMD5:
46363859c4d6c955c2ed1c6448dc9e49
margins__results_extrapolate_n150000.csv - 110,273,622 bytesMD5:
f7b1637291c4ab61fcf4a5753635825f
margins__results_splithalf_n250000.csv -
download all files (zip)
2,524,619,891 bytes unzipped