Query Results

Number of results 100
Lowest scoring result 85.10968
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 2008/11/11 10:45:09 GMT
Time at which query was started
Finished at 2008/11/11 10:50:34 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 -45.927662711
The log likelihood ratio of an empty article (one in which every feature failed to occur).
Prior score -10.8311593086
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 100
The maximum number of results to include.
Threshold -10.0
Default Naive Bayes classification threshold is zero. This threshold is the minimum log probability ratio for predicting an article to be relevant.
Minimum date 20000101
The minimum date considered when parsing Medline (both when making feature counts, and when querying)

Feature Statistics

Quantity Relevant Docs Irrelevant Docs
Number of documents 115 5866386
Number of selected, occurring features 3019 34162
Total occurrences of selected features 10809 353756041
Selected features per Medline record 93.991 60.302
Of the considered feature types, 34229 features are selected out of 2914411 occurring at least once in training data. The aggressivity of selection is 85.144. 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
0.06 w Bacteriophage 13799 8.32 86 4230
0.04 w Phage 9479 6.86 64 7746
0.04 mesh Base Sequence 3540 6.39 106 113792
0.04 mesh Genes, Viral 7084 7.20 53 3734
0.03 w Promoter 3246 5.19 76 62773
0.03 mesh DNA, Viral 3191 5.70 56 18537
0.03 mesh Promoter Regions (Genetics) 6895 4.98 61 45144
0.03 mesh Transcription, Genetic 6104 4.83 59 48872
0.03 w Promoters 5578 5.63 47 14487
0.03 w Sequence 1953 4.29 78 164769
0.03 mesh Coliphages 8179 8.57 29 374
0.03 mesh Viral Proteins 5099 5.61 46 14341
0.03 mesh Molecular Sequence Data 1778 4.22 81 198364
0.02 mesh T-Phages 80061 10.29 23 48
0.02 w Transcription 6546 4.06 61 111878
0.02 w Gene 1420 3.82 89 408544
0.02 w Repressor 13902 5.86 35 7291
0.02 w DNA 669 3.58 67 219685
0.02 w Region 2788 3.59 64 195459
0.02 qual genetics 799 5.02 111 905834