Table 1.
Description of the datasets used in our experiments. For brevity, we used several acronyms which are explained here. Nu:Numeric, No:Nominal, CA:Caucasian, AA:African American, NReH:Not Re-Hospitalized, ReH:Re-Hospitalized, Emp:Employment, Rel:Religion, Park:Parkinson.
| Dataset | Features | Source Majority | Source Minority | Target Majority | Target Minority |
|---|---|---|---|---|---|
| HF (Race) | Nu : 2 No : 20 |
AA NReH 4468 (78.0%) |
AA ReH 1026 (17.9%) |
CA NReH ≈183 (3.2%) |
CA ReH ≈50 (0.9%) |
| HF (Age) | Nu : 1 No : 21 |
Over 50 NReH 4513 (75.4%) |
Over 50 ReH 1182 (19.8%) |
Under 50 NReH ≈241 (4.0%) |
Under 50 ReH ≈50 (0.8%) |
| HF (Gender) | Nu : 2 No : 20 |
Male NReH 3366 (75.7%) |
Male ReH 818 (18.4%) |
Female NReH ≈211 (4.8%) |
Female ReH ≈50 (1.1%) |
| Emp (Rel) | Nu : 5 No : 3 |
Muslim Un-employed 955 (74%) |
Muslim Employed 298 (23%) |
Non-Muslim Un-employed 15 (0.02%) |
Non-Muslim Employed 7 (0.006%) |
| Park (Gender) | Nu : 19 No : 0 |
Male UPDRS≥10 3732 (89%) |
Male UPDRS<10 276 (8%) |
Female UPDRS≥10 112 (0.03%) |
Female UPDRS<10 13(0.003%) |
| REC vs TALK | Nu : 500 No : 0 |
rec .autos .motorcycles 1009 |
talk .politics.guns .politics.misc 20,50,101 2%,5%,10% |
rec .sports.baseball .sports.hockey 472,453,393 2%,5%,10% |
talk .politics.mideast .religion.misc 10,23,39 2%,5%,10% |
| REC vs SCI | Nu : 500 No : 0 |
rec .autos .sports.baseball 1187 |
sci .sci.crypt .sci.space 24,59,119 2%,5%,10% |
rec .motorcycles .sports.hockey 486,518,543 2%,5%,10% |
sci .sci.electronics .sci.med 10,26,55 2%,5%,10% |
| SCI vs TALK | Nu : 500 No : 0 |
sci .sci.med .sci.electronics 840 |
talk .politics.misc .religion.misc 17,42,84 2%,5%,10% |
sci .sci.crypt .sci.space 513,529,507 2%,5%,10% |
talk .politics.guns .politics.mideast 10,26,51 2%,5%,10% |