| Title |
A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms
|
|---|---|
| Published in |
Machine Learning, September 2000
|
| DOI | 10.1023/a:1007608224229 |
| Authors |
Tjen-Sien Lim, Wei-Yin Loh, Yu-Shan Shih |
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 % |
|---|---|---|
| Japan | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 550 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 2% |
| Sweden | 4 | <1% |
| United Kingdom | 3 | <1% |
| Turkey | 2 | <1% |
| Switzerland | 2 | <1% |
| Brazil | 2 | <1% |
| Spain | 2 | <1% |
| Greece | 2 | <1% |
| Belgium | 2 | <1% |
| Other | 18 | 3% |
| Unknown | 503 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 120 | 22% |
| Student > Master | 100 | 18% |
| Researcher | 65 | 12% |
| Student > Bachelor | 34 | 6% |
| Other | 31 | 6% |
| Other | 114 | 21% |
| Unknown | 86 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 224 | 41% |
| Engineering | 72 | 13% |
| Agricultural and Biological Sciences | 30 | 5% |
| Environmental Science | 19 | 3% |
| Business, Management and Accounting | 16 | 3% |
| Other | 83 | 15% |
| Unknown | 106 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 27 May 2022.
All research outputs
#7,960,693
of 25,374,917 outputs
Outputs from Machine Learning
#303
of 1,225 outputs
Outputs of similar age
#12,407
of 37,742 outputs
Outputs of similar age from Machine Learning
#2
of 3 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,225 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 73% 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 37,742 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 66% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.