| Title |
Evaluating discrete choice prediction models when the evaluation data is corrupted: analytic results and bias corrections for the area under the ROC
|
|---|---|
| Published in |
Data Mining and Knowledge Discovery, September 2015
|
| DOI | 10.1007/s10618-015-0437-7 |
| Authors |
Roger M. Stein |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 2 | 20% |
| Student > Master | 2 | 20% |
| Researcher | 2 | 20% |
| Student > Ph. D. Student | 1 | 10% |
| Unspecified | 1 | 10% |
| Other | 1 | 10% |
| Unknown | 1 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 30% |
| Business, Management and Accounting | 2 | 20% |
| Unspecified | 1 | 10% |
| Materials Science | 1 | 10% |
| Engineering | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 2 | 20% |