"The maximum weighted submatrix coverage problem: A CP approach": experiment results
<p>This is the result of the experiment from the paper "The maximum weighted submatrix coverage problem: A CP approach".</p> <p>The original analysis was lost, and so the extraction of the result has been re-done. It should not differ from the original results.</p> <p> </p> <p>The interesting files are the following:</p> <p>- all.json contains a JSON list. Each element of the list contains the result of running all the methods on a specific matrix. Each entry is in the form {"name": "file of the matrix", "k": number of searched submatrices, "run": {"method": ["time", "objective value"]}}. CONTAINS ONLY RESULTS FOR THE SYNTH DATASET</p> <p>- best.json contains the best result obtained for each matrix. It is extracted from all.json.CONTAINS ONLY RESULTS FOR THE SYNTH DATASET</p> <p>- The other zips contains the results for the real dataset.</p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0