This page shows the benchmarks results for the dataset instance “caltech-small2”. No optimum is known for this instance.
Run time 1s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -7687.51 | -23208.2 | unknown | 63.33% |
| dd-ls3 | -9220.98 | -32336.2 | unknown | 63.33% |
| dd-ls4 | -7968.4 | -37135.4 | unknown | 60.00% |
| fgmd | inf | -inf | unknown | – |
| fm-bca | -14254.9 | -18503.4 | unknown | 76.67% |
| fm | -14283.9 | -91318.2 | unknown | 76.67% |
| fw | 0 | -inf | unknown | 0.00% |
| ga | inf | -inf | unknown | – |
| hbp | inf | -inf | unknown | – |
| ipfps | -14260.1 | -inf | unknown | 76.67% |
| ipfpu | -14285.3 | -inf | unknown | 76.67% |
| lsm | inf | -inf | unknown | – |
| mp | -13252.2 | -18359.8 | unknown | 73.33% |
| mp-fw | -14045.2 | -21613.1 | unknown | 76.67% |
| mpm | inf | -inf | unknown | – |
| mp-mcf | -13392.8 | -19755.2 | unknown | 76.67% |
| pm | -8720.33 | -inf | unknown | 60.00% |
| rrwm | inf | -inf | unknown | – |
| sm | -3900.84 | -inf | unknown | 36.67% |
| smac | -11031.5 | -inf | unknown | 70.00% |
Run time 10s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -13542.9 | -14699.6 | unknown | 76.67% |
| dd-ls3 | -11499.8 | -16004.1 | unknown | 73.33% |
| dd-ls4 | -7968.4 | -29298 | unknown | 60.00% |
| fgmd | inf | -inf | unknown | – |
| fm-bca | -14281.5 | -18113.2 | unknown | 76.67% |
| fm | -14295 | -91318.2 | unknown | 76.67% |
| fw | 0 | -inf | unknown | 0.00% |
| ga | inf | -inf | unknown | – |
| hbp | inf | -inf | unknown | – |
| ipfps | -14260.1 | -inf | unknown | 76.67% |
| ipfpu | -14285.3 | -inf | unknown | 76.67% |
| lsm | 0 | -inf | unknown | 0.00% |
| mp | -13252.2 | -18247.6 | unknown | 73.33% |
| mp-fw | -14145.2 | -20520.3 | unknown | 76.67% |
| mpm | inf | -inf | unknown | – |
| mp-mcf | -13392.8 | -18797.4 | unknown | 76.67% |
| pm | -8720.33 | -inf | unknown | 60.00% |
| rrwm | -14047.2 | -inf | unknown | 76.67% |
| sm | -3900.84 | -inf | unknown | 36.67% |
| smac | -11031.5 | -inf | unknown | 70.00% |
Run time 100s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -13542.9 | -14699.6 | unknown | 76.67% |
| dd-ls3 | -13475.4 | -14663.3 | unknown | 76.67% |
| dd-ls4 | -9291.81 | -16658.2 | unknown | 66.67% |
| fgmd | inf | -inf | unknown | – |
| fm-bca | -14281.5 | -18105.9 | unknown | 76.67% |
| fm | -14295 | -91318.2 | unknown | 76.67% |
| fw | 0 | -inf | unknown | 0.00% |
| ga | inf | -inf | unknown | – |
| hbp | inf | -inf | unknown | – |
| ipfps | -14260.1 | -inf | unknown | 76.67% |
| ipfpu | -14285.3 | -inf | unknown | 76.67% |
| lsm | 0 | -inf | unknown | 0.00% |
| mp | -13252.2 | -18233.1 | unknown | 73.33% |
| mp-fw | -14229.2 | -18069.1 | unknown | 76.67% |
| mpm | inf | -inf | unknown | – |
| mp-mcf | -13392.8 | -17327.8 | unknown | 76.67% |
| pm | -8720.33 | -inf | unknown | 60.00% |
| rrwm | -14047.2 | -inf | unknown | 76.67% |
| sm | -3900.84 | -inf | unknown | 36.67% |
| smac | -11031.5 | -inf | unknown | 70.00% |
Run time 300s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -13542.9 | -14699.6 | unknown | 76.67% |
| dd-ls3 | -13475.4 | -14663.3 | unknown | 76.67% |
| dd-ls4 | -12816.5 | -14792.8 | unknown | 76.67% |
| fgmd | inf | -inf | unknown | – |
| fm-bca | -14281.5 | -18105.9 | unknown | 76.67% |
| fm | -14295 | -91318.2 | unknown | 76.67% |
| fw | 0 | -inf | unknown | 0.00% |
| ga | inf | -inf | unknown | – |
| hbp | inf | -inf | unknown | – |
| ipfps | -14260.1 | -inf | unknown | 76.67% |
| ipfpu | -14285.3 | -inf | unknown | 76.67% |
| lsm | 0 | -inf | unknown | 0.00% |
| mp | -13252.2 | -18233.1 | unknown | 73.33% |
| mp-fw | -14229.2 | -17076.1 | unknown | 76.67% |
| mpm | inf | -inf | unknown | – |
| mp-mcf | -13392.8 | -16820.8 | unknown | 76.67% |
| pm | -8720.33 | -inf | unknown | 60.00% |
| rrwm | -14047.2 | -inf | unknown | 76.67% |
| sm | -3900.84 | -inf | unknown | 36.67% |
| smac | -11031.5 | -inf | unknown | 70.00% |
Other Results for this Dataset
Accumulated results for whole dataset: caltech-small
Results for individual instances of the dataset: