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neos-pseudoapplication-4
| Type: | Model Group |
| Submitter: | Jeff Linderoth |
| Description: | (None provided) |
Parent Model Group (neos-pseudoapplication-4)
All other model groups below were be compared against this "query" model group.  |
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Model Group Composite (MGC) image
Composite of the decomposed CCM images for every instance in the query model group.
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Component Instances (Decomposed)
These are the decomposed CCM images for each instance in the query model group. |
These are component instance images.
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| Name | neos-3230516-zala | neos-3230376-yser |
MIC Top 5 Model Groups
These are the 5 MGC images that are most similar to the MGC image for the query model group, according to the ISS metric. |
FIXME - These are model group composite images.
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| Name | neos-pseudoapplication-108 | neos-pseudoapplication-109 | mik_250 | neos-pseudoapplication-97 | supportvectormachine | |
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Rank / ISS
The image-based structural similarity (ISS) metric measures the Euclidean distance between the image-based feature vectors for the query model group and all other model groups. A smaller ISS value indicates greater similarity.
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1 / 1.612 | 2 / 1.852 | 3 / 1.908 | 4 / 1.932 | 5 / 1.934 |
Model Group Summary
The table below contains summary information for neos-pseudoapplication-4, and for the five most similar model groups to neos-pseudoapplication-4 according to the MIC.
| MODEL GROUP | SUBMITTER | DESCRIPTION | ISS | RANK | |
|---|---|---|---|---|---|
| Parent Model Group | neos-pseudoapplication-4 | Jeff Linderoth | (None provided) | 0.000000 | - |
| MIC Top 5 | neos-pseudoapplication-108 | NEOS Server Submission | Model coming from the NEOS Server with unknown application | 1.611698 | 1 |
| neos-pseudoapplication-109 | Jeff Linderoth | (None provided) | 1.852225 | 2 | |
| mik_250 | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 1.907642 | 3 | |
| neos-pseudoapplication-97 | Jeff Linderoth | (None provided) | 1.932367 | 4 | |
| supportvectormachine | Toni Sorrell | Suport vector machine with ramp loss. GSVM2-RL is the formulation found in Hess E. and Brooks P. (2015) paper, The Support Vector Machine and Mixed Integer Linear Programming: Ramp Loss SVM with L1-Norm Regularization | 1.934076 | 5 |
