Query Results

Number of results 1000
Lowest scoring result 57.76611
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 16:22:19 GMT
Time at which query was started
Finished at 2009/11/03 16:25:29 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 -104.916528255
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 3806 30980
Total occurrences of selected features 12319 745912525
Selected features per Medline record 117.324 43.795
Of the considered feature types, 30980 features are selected out of 3703762 occurring at least once in training data. The aggressivity of selection is 119.553. 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
0.08 issn 1471-2105 233200 24.88 105 2243
0.06 w DESCRIPTION 10214 9.92 79 2532
0.04 w Database 10704 8.09 97 62785
0.04 w Http 42206 8.14 73 11294
0.03 mesh Database Management Systems 28865 8.00 51 5382
0.03 mesh Databases, Genetic 53763 7.77 46 5629
0.03 w BACKGROUND 1168 8.15 104 494819
0.03 mesh Databases, Protein 12064 7.76 45 5454
0.03 mesh User-Computer Interface 29304 6.86 50 16157
0.03 mesh Information Storage and Retrieval 28867 7.08 47 11645
0.03 w Databases 4071 6.34 50 27251
0.03 w CONCLUSION 1682 5.13 88 504504
0.03 mesh Internet 16958 6.25 48 27692
0.02 w Web 29283 6.49 39 15211
0.02 w Annotation 28383 7.50 33 4305
0.02 w Information 2979 4.41 72 439654
0.02 w Available 3046 4.03 59 379819
0.02 w Provides 1609 4.25 52 234226
0.02 w Tools 4178 4.98 37 63627
0.02 w Interface 7927 5.19 35 47186