Query Results

Number of results 1000
Lowest scoring result 32.04366
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 11:59:01 GMT
Time at which query was started
Finished at 2009/11/03 12:00:07 GMT
Time at which this file was written.
Feature score method scores_bgfreq
Name of the method used to calculate feature scores. Docstring for the method: The prior is 'background frequency' successes, out of 1 total occurrence in each class.
Min Document Frequency 2
We exclude features occurring fewer than this many times in the data
Base score -6.55698906933
The log likelihood ratio of an empty article (one in which every feature failed to occur).
Prior score -11.9871578761
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 105 17031871
Number of selected, occurring features 313 41209
Total occurrences of selected features 1518 231000929
Selected features per Medline record 14.457 13.563
Of the considered feature types, 41209 features are selected out of 43325 occurring at least once in training data. The aggressivity of selection is 1.051. The complete database lists 43326 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
0.61 issn 1471-2105 37975 13.59 105 2243
0.27 mesh Database Management Systems 14765 7.98 51 5382
0.24 mesh Databases, Genetic 31426 7.75 46 5629
0.24 mesh Databases, Protein 36550 7.74 45 5454
0.23 mesh User-Computer Interface 22529 6.85 50 16157
0.23 mesh Information Storage and Retrieval 15390 7.06 47 11645
0.20 mesh Internet 34671 6.23 48 27691
0.13 mesh Software 14380 5.09 35 51582
0.13 qual methods 4922 3.73 87 1697735
0.13 mesh Computational Biology 31425 5.85 28 17676
0.09 qual genetics 4402 2.34 57 1718558
0.08 mesh Computer Graphics 13558 5.91 17 8804
0.08 mesh Sequence Analysis, Protein 22729 6.05 16 7143
0.07 mesh Sequence Alignment 16399 4.20 20 59283
0.07 mesh Databases, Factual 17665 4.89 17 24336
0.07 qual chemistry 6588 2.16 39 1076235
0.07 mesh Proteins 954 3.42 22 144202
0.06 mesh Chromosome Mapping 9470 3.79 17 73296
0.06 mesh Systems Integration 28403 5.88 11 5490
0.06 mesh Databases, Nucleic Acid 31021 6.52 10 2608