Query Results

Number of results 1000
Lowest scoring result 147.08206
Abstracts of results results.html
Complete abstracts of the articles in Medline predicted to be relevant (limited number per page).
Abstracts of all results ZIP file or all_results.html
All result abstracts on a single page. (can take a long time to load - downloading the zip file is recommended)
Abstracts of input examples inputs.html
Complete abstracts of the Medline records given as relevant training examples. They have been ranked by classifier scores.
PubMed IDs of results results.txt
PubMed IDs and scores of classifier predictions, ranked by decreasing score.
PubMed IDs of inputs inputs.txt
PubMed IDs and scores of the relevant training examples.
Started at 2009/11/03 17:05:21 GMT
Time at which query was started
Finished at 2009/11/03 17:08:32 GMT
Time at which this file was written.
Feature score method scores_laplace_split
Name of the method used to calculate feature scores. Docstring for the method: For feature probabilities we use a Laplace prior, of 1 success and 1 failure in total, split between the classes according to size. This avoids problems with class skew.
Min Information Gain 2e-05
We exclude features with less than this value of Information Gain.
Base score -48.456644694
The log likelihood ratio of an empty article (one in which every feature failed to occur).
Prior score -10.8948424268
The log of the prior probability ratio for an article being relevant versus irrelevant (added to log likelihood ratio to obtain the final score). Equals the logit of the estimated prevalence of relevant articles in Medline (which may be estimated from the input size or specified separately).
Limit 1000
The maximum number of results to include.
Threshold -30.0
Default Naive Bayes classification threshold is zero. This threshold is the minimum log probability ratio for predicting an article to be relevant.

Feature Statistics

Quantity Relevant Docs Irrelevant Docs
Number of documents 315 17031661
Number of selected, occurring features 6141 32824
Total occurrences of selected features 26654 749641356
Selected features per Medline record 84.616 44.015
Of the considered feature types, 32824 features are selected out of 3703762 occurring at least once in training data. The aggressivity of selection is 112.837. The complete database lists 3703762 potential features.

Features with high TF.IDF

Features with TF.IDF above 0.2 or 0.3 could make good keywords. TF.IDF is term frequency times inverse document frequency, where we treat the set of input citations as a single document

TF-IDF Type Term Term ID Score Pos Neg
0.07 w Http 42206 8.98 264 11103
0.07 issn 1362-4962 51097 8.89 249 8828
0.06 mesh Internet 16958 7.87 255 27485
0.06 mesh Software 23437 7.35 260 51357
0.05 mesh User-Computer Interface 29304 7.47 196 16011
0.04 w Web 29283 7.19 170 15080
0.04 w Server 76893 8.20 122 2956
0.03 w Available 3046 4.08 181 379697
0.02 w Sequences 1767 4.24 151 222193
0.02 w Sequence 1953 3.83 162 383995
0.02 w Database 10704 4.93 107 62775
0.02 w Tool 4141 4.32 121 139885
0.02 w Annotation 28383 6.90 63 4275
0.02 mesh Genomics 51331 6.09 71 11204
0.02 mesh Algorithms 4650 4.38 95 91986
0.02 mesh Computational Biology 15970 5.66 72 17632
0.02 w Web-based 29383 6.69 58 4782
0.02 mesh Sequence Analysis, DNA 3548 4.55 81 62331
0.02 mesh Computer Graphics 2557 6.10 59 8762
0.02 w Interface 7927 4.72 75 47146