Terrier provides a Java implementation of trec_eval for evaluating results of TREC adhoc and named-page finding tasks. Before running an evaluation, we need to specify the relevance assessments file in /etc/trec.qrels. To evaluate all .res result files in folder /var/results, we can type the following:
bin/trec_terrier.sh -e
The above command evaluates each .res file in folder /var/results for TREC adhoc task. We can evaluate for a particular result file by giving the filename in the command line:
bin/trec_terrier.sh -e PL2c1.0_0.resor
bin/trec_terrier.sh -e ./var/results/PL2c1.0_0.res
The above command evaluates only ./var/results/PL2c1.0_0.res. For a result file named x.res, the evaluation result is saved in file x.eval, which contains the content as shown in the following example:
____________________________________ Number of queries = 50 Retrieved = 48831 Relevant = 2279 Relevant retrieved = 1814 ____________________________________ Average Precision: 0.2977 R Precision : 0.3271 ____________________________________ Precision at 1: 0.5600 Precision at 2: 0.5500 Precision at 3: 0.5400 Precision at 4: 0.5150 Precision at 5: 0.5000 Precision at 10: 0.4540 Precision at 15: 0.4200 Precision at 20: 0.3920 Precision at 30: 0.3280 Precision at 50: 0.2692 Precision at 100: 0.1964 Precision at 200: 0.1329 Precision at 500: 0.0658 Precision at 1000: 0.0363 ____________________________________ Precision at 0%: 0.7325 Precision at 10%: 0.6022 Precision at 20%: 0.5180 Precision at 30%: 0.4212 Precision at 40%: 0.3616 Precision at 50%: 0.3026 Precision at 60%: 0.2292 Precision at 70%: 0.1696 Precision at 80%: 0.1151 Precision at 90%: 0.0582 Precision at 100%: 0.0151 ____________________________________ Average Precision: 0.2977
The above displayed evaluation measures are averaged over a batch of queries. We can save the average precision of each query by using option -p in the command line:
bin/trec_terrier.sh -e PL2c1.0_0.res -p
In addition to adhoc task, we can also evaluate for TREC named-page finding task by using option -n:
bin/trec_terrier.sh -e PL2c1.0_0.res -n
The evaluation result, including the average reciprocal rank over all queries, are saved in file var/results/PL2c1.0_0.eval. The evaluation result contains the rank of the first relevant retrieved document for each query. It also contains the overall evaluation information as shown in the following example:
Average Reciprocal Rank: 0.5320129003570543
Percentage of answers found in the first rank: 0.44
Percentage of answers found among the top 5 documents: 3.033333333333333
Percentage of answers found among the top 10 documents: 0.72
Percentage of answers found among the top 20 documents: 0.7933333333333333
Percentage of answers found among the top 50 documents: 0.8666666666666667
Percentage of documents not found in top 50 documents: 0.13333333333333333
If option -p is applied, the .eval file contains the reciprocal rank of each query.
TREC_EVALRuns created by Terrier are compatible with the Trec_Eval tool developed by Chris Buckley. You can download Trec_Eval from http://trec.nist.gov/trec_eval/.
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