| Title |
Cost curves: An improved method for visualizing classifier performance
|
|---|---|
| Published in |
Machine Learning, May 2006
|
| DOI | 10.1007/s10994-006-8199-5 |
| Authors |
Chris Drummond, Robert C. Holte |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 310 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 3% |
| Belgium | 6 | 2% |
| Brazil | 5 | 2% |
| Canada | 4 | 1% |
| Australia | 4 | 1% |
| Chile | 3 | <1% |
| Germany | 3 | <1% |
| Spain | 2 | <1% |
| India | 1 | <1% |
| Other | 9 | 3% |
| Unknown | 265 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 77 | 25% |
| Researcher | 54 | 17% |
| Student > Master | 51 | 16% |
| Student > Bachelor | 20 | 6% |
| Professor > Associate Professor | 17 | 5% |
| Other | 56 | 18% |
| Unknown | 35 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 134 | 43% |
| Engineering | 31 | 10% |
| Agricultural and Biological Sciences | 17 | 5% |
| Mathematics | 15 | 5% |
| Biochemistry, Genetics and Molecular Biology | 7 | 2% |
| Other | 50 | 16% |
| Unknown | 56 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 August 2021.
All research outputs
#4,670,972
of 22,684,168 outputs
Outputs from Machine Learning
#131
of 951 outputs
Outputs of similar age
#11,910
of 65,932 outputs
Outputs of similar age from Machine Learning
#2
of 7 outputs
Altmetric has tracked 22,684,168 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 951 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 81% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 65,932 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.