| Title |
A new variable importance measure for random forests with missing data
|
|---|---|
| Published in |
Statistics and Computing, August 2012
|
| DOI | 10.1007/s11222-012-9349-1 |
| Authors |
Alexander Hapfelmeier, Torsten Hothorn, Kurt Ulm, Carolin Strobl |
Mendeley readers
The data shown below were compiled from readership statistics for 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 1% |
| France | 2 | 1% |
| Belgium | 2 | 1% |
| United States | 2 | 1% |
| Netherlands | 1 | <1% |
| Canada | 1 | <1% |
| Brazil | 1 | <1% |
| Japan | 1 | <1% |
| United Kingdom | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 175 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 50 | 27% |
| Student > Master | 30 | 16% |
| Researcher | 28 | 15% |
| Student > Bachelor | 13 | 7% |
| Student > Doctoral Student | 12 | 6% |
| Other | 32 | 17% |
| Unknown | 23 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 14% |
| Computer Science | 25 | 13% |
| Engineering | 18 | 10% |
| Mathematics | 16 | 9% |
| Environmental Science | 15 | 8% |
| Other | 59 | 31% |
| Unknown | 29 | 15% |