premise string | hypothesis string | label int64 |
|---|---|---|
| Property | Simulation | StarcraftII |
| --- | --- | --- |
| Population | 50 | 50 |
| Generations | 100 | 100 |
| Species | 5 | 5 |
| InitialConnProbability | 0.2 | 0.1 |
| ElitismProportion | 0.2 | 0.2 |
| SelectionProportion | 0.2 | 0.2 |
| AsexualOffspringProportion | 0.5 | 0.8 |
| SexualOffspringProportion | 0.5 | 0.2 | | | Inter-speciesMating | 0.01 | 0.01 |
| --- | --- | --- |
| ConnectionWeightRange | 5 | 7 |
| ProbabilityWeightMutation | 0.95 | 0.95 |
| ProbabilityAddNode | 0.01 | 0.02 |
| ProbabilityAddConnection | 0.025 | 0.04 |
| ProbabilityDeleteConnection | 0.025 | 0.025 | | 1 |
| Property | Simulation | StarcraftII |
| --- | --- | --- |
| Population | 50 | 50 |
| Generations | 100 | 100 |
| Species | 5 | 5 |
| InitialConnProbability | 0.2 | 0.1 |
| ElitismProportion | 0.2 | 0.2 |
| SelectionProportion | 0.2 | 0.2 |
| AsexualOffspringProportion | 0.5 | 0.8 |
| SexualOffspringProportion | 0.5 | 0.2 | | | Feature | Starbucks | Dun.Don. | McDon. |
| --- | --- | --- | --- |
| GeographicFeatures | | | |
| Density | 0.60 | 0.79 | 0.73 |
| Entropy | 0.65 | 0.60 | 0.69 |
| Competitiveness | 0.70 | 0.68 | 0.78 |
| JensenQuality | 0.54 | 0.81 | 0.72 |
| MobilityFeatures | | | |
| AreaPopularity | 0.54 | 0.77 | 0.78 |
| TransitionDensity | 0.62 | 0.79 | 0.78 |
| IncomingFlow | 0.60 | 0.75 | 0.79 |
| TransitionQuality | 0.66 | 0.81 | 0.73 |
| RandomBaseline | | | |
| | 0.48 | 0.51 | 0.53 | | 0 |
| Property | Simulation | StarcraftII |
| --- | --- | --- |
| Population | 50 | 50 |
| Generations | 100 | 100 |
| Species | 5 | 5 |
| InitialConnProbability | 0.2 | 0.1 |
| ElitismProportion | 0.2 | 0.2 | | | SelectionProportion | 0.2 | 0.2 |
| --- | --- | --- |
| AsexualOffspringProportion | 0.5 | 0.8 |
| SexualOffspringProportion | 0.5 | 0.2 |
| Inter-speciesMating | 0.01 | 0.01 |
| ConnectionWeightRange | 5 | 7 |
| ProbabilityWeightMutation | 0.95 | 0.95 |
| ProbabilityAddNode | 0.01 | 0.02 |
| ProbabilityAddConnection | 0.025 | 0.04 |
| ProbabilityDeleteConnection | 0.025 | 0.025 | | 1 |
| Property | Simulation | StarcraftII |
| --- | --- | --- |
| Population | 50 | 50 |
| Generations | 100 | 100 |
| Species | 5 | 5 |
| InitialConnProbability | 0.2 | 0.1 |
| ElitismProportion | 0.2 | 0.2 | | | MobilityFeatures | | | |
| --- | --- | --- | --- |
| AreaPopularity | 0.54 | 0.77 | 0.78 |
| TransitionDensity | 0.62 | 0.79 | 0.78 |
| IncomingFlow | 0.60 | 0.75 | 0.79 |
| TransitionQuality | 0.66 | 0.81 | 0.73 |
| RandomBaseline | | | |
| | 0.48 | 0.51 | 0.53 | | 0 |
| Link | Thedegreeofdependence |
| --- | --- |
| (S,S)835 | 0.6 |
| (S,S)358 | 0.2 | | | (S,S)1013 | 0.7 |
| --- | --- |
| (S,S)1310 | 0.3 | | 1 |
| Link | Thedegreeofdependence |
| --- | --- |
| (S,S)835 | 0.6 |
| (S,S)358 | 0.2 | | | Link | Thedegreeofdependence |
| --- | --- |
| (S,S)115 | 0.7 |
| (S,S)511 | 0.6 |
| (S,S)1223 | 0.3 |
| (S,S)2312 | 0.1 | | 0 |
| Link | Thedegreeofdependence |
| --- | --- |
| (S,S)835 | 0.6 | | | (S,S)358 | 0.2 |
| --- | --- |
| (S,S)1013 | 0.7 |
| (S,S)1310 | 0.3 | | 1 |
| Link | Thedegreeofdependence |
| --- | --- |
| (S,S)835 | 0.6 | | | (S,S)1223 | 0.3 |
| --- | --- |
| (S,S)2312 | 0.1 | | 0 |
| | ExactlyK-sparsesignal | | |
| --- | --- | --- | --- |
| Samples | Complexity | Assumption | Samples | | | | 4<br>O(KlogN) | 5<br>O(KlogN) | K=O(N) | 4<br>O(KlogN) |
| --- | --- | --- | --- | --- |
| | O(K) | O(KlogN) | K=O(N) | N<br>O(Klog()/loglogN)<br>K |
| | O(K) | O(KlogK+K(loglogN)) | K=O(N) | O(KlogN) |
| | O(K) | 3O(KlogN) | K=O(N) | void |
| | O(K) | O(KlogK) | α<br>K=O(N),α<1 | void |
| Thispaper | O(K) | O(KlogK) | K=O(N) | O(K) | | 1 |
| | ExactlyK-sparsesignal | | |
| --- | --- | --- | --- |
| Samples | Complexity | Assumption | Samples | | | Step | Complexity |
| --- | --- |
| 1 | O(Nl)orO(Km) |
| 2 | O(Nl)orO(Kml) |
| 3 | O(Kt) |
| 4 | O(N)orO(Km/l) | | 0 |
| | ExactlyK-sparsesignal | | | |
| --- | --- | --- | --- | --- |
| Samples | Complexity | Assumption | Samples | |
| | 4<br>O(KlogN) | 5<br>O(KlogN) | K=O(N) | 4<br>O(KlogN) |
| | O(K) | O(KlogN) | K=O(N) | N<br>O(Klog()/loglogN)<br>K | | | | O(K) | O(KlogK+K(loglogN)) | K=O(N) | O(KlogN) |
| --- | --- | --- | --- | --- |
| | O(K) | 3O(KlogN) | K=O(N) | void |
| | O(K) | O(KlogK) | α<br>K=O(N),α<1 | void |
| Thispaper | O(K) | O(KlogK) | K=O(N) | O(K) | | 1 |
| | ExactlyK-sparsesignal | | | |
| --- | --- | --- | --- | --- |
| Samples | Complexity | Assumption | Samples | |
| | 4<br>O(KlogN) | 5<br>O(KlogN) | K=O(N) | 4<br>O(KlogN) |
| | O(K) | O(KlogN) | K=O(N) | N<br>O(Klog()/loglogN)<br>K | | | 2 | O(Nl)orO(Kml) |
| --- | --- |
| 3 | O(Kt) |
| 4 | O(N)orO(Km/l) | | 0 |
| normalimages | ε=2test | ε=4test | ε=6test |
| --- | --- | --- | --- |
| 0.9725 | 0.9704 | 0.9687 | 0.9663 |
| 0.9758 | 0.6258 | 0.9719 | 0.9638 | | | 0.9812 | 0.5303 | 0.9640 | 0.9751 |
| --- | --- | --- | --- |
| 0.9868 | 0.3916 | 0.9589 | 0.9637 | | 1 |
| normalimages | ε=2test | ε=4test | ε=6test |
| --- | --- | --- | --- |
| 0.9725 | 0.9704 | 0.9687 | 0.9663 |
| 0.9758 | 0.6258 | 0.9719 | 0.9638 | | | normalimages | ε=2test | ε=4test | ε=6test |
| --- | --- | --- | --- |
| 0.9708 | 0.9638 | 0.9371 | 0.8895 |
| 0.9737 | 0.7189 | 0.9675 | 0.9643 |
| 0.9749 | 0.3620 | 0.9611 | 0.9725 |
| 0.9760 | 0.3211 | 0.9565 | 0.9737 | | 0 |
| normalimages | ε=2test | ε=4test | ε=6test |
| --- | --- | --- | --- |
| 0.9725 | 0.9704 | 0.9687 | 0.9663 |
| 0.9758 | 0.6258 | 0.9719 | 0.9638 | | | 0.9812 | 0.5303 | 0.9640 | 0.9751 |
| --- | --- | --- | --- |
| 0.9868 | 0.3916 | 0.9589 | 0.9637 | | 1 |
| normalimages | ε=2test | ε=4test | ε=6test |
| --- | --- | --- | --- |
| 0.9725 | 0.9704 | 0.9687 | 0.9663 |
| 0.9758 | 0.6258 | 0.9719 | 0.9638 | | | 0.9737 | 0.7189 | 0.9675 | 0.9643 |
| --- | --- | --- | --- |
| 0.9749 | 0.3620 | 0.9611 | 0.9725 |
| 0.9760 | 0.3211 | 0.9565 | 0.9737 | | 0 |
| Scenario | Workload | Application/Process | SNRb(dB) |
| --- | --- | --- | --- |
| #1 | Idle | Backgroundprocesses | 36.47 |
| #2 | Wordprocessing | LibreOfficeWriter | 36.00 | | | #3 | Videoplay | VLCPlayer | 35.31 |
| --- | --- | --- | --- |
| #4 | Backup | rsync | 32.04 |
| #5 | Calculations | matho-primes | 33.97 | | 1 |
| Scenario | Workload | Application/Process | SNRb(dB) |
| --- | --- | --- | --- |
| #1 | Idle | Backgroundprocesses | 36.47 |
| #2 | Wordprocessing | LibreOfficeWriter | 36.00 | | | Job/Task | Scheduler | FIFO | Fair | Capacity | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | |
| | | | | | | | |
| Job | CPU(ms) | 11495 | 8415 | 12647 | 9538 | 14475 | 10784 |
| Memory(10bytes | 7479 | 4530 | 7741 | 3647 | 9463 | 5486 | |
| HDFSRead(10bytes) | 9930 | 7431 | 10968 | 8762 | 12463 | 8360 | |
| HDFSWrite(10bytes) | 8583 | 5985 | 9784 | 6202 | 10285 | 7420 | |
| Task | CPU(ms) | 3855 | 2520 | 4033 | 2184 | 4170 | 2851 |
| Memory(10bytes | 1412 | 1058 | 2496 | 1741 | 2638 | 2115 | |
| HDFSRead(10bytes) | 1638 | 1215 | 1894 | 1428 | 7426 | 4541 | |
| HDFSWrite(10bytes) | 1774 | 1385 | 3643 | 2429 | 5052 | 3715 | | | 0 |
| Scenario | Workload | Application/Process | SNRb(dB) |
| --- | --- | --- | --- |
| #1 | Idle | Backgroundprocesses | 36.47 |
| #2 | Wordprocessing | LibreOfficeWriter | 36.00 | | | #3 | Videoplay | VLCPlayer | 35.31 |
| --- | --- | --- | --- |
| #4 | Backup | rsync | 32.04 |
| #5 | Calculations | matho-primes | 33.97 | | 1 |
| Scenario | Workload | Application/Process | SNRb(dB) |
| --- | --- | --- | --- |
| #1 | Idle | Backgroundprocesses | 36.47 |
| #2 | Wordprocessing | LibreOfficeWriter | 36.00 | | | HDFSRead(10bytes) | 1638 | 1215 | 1894 | 1428 | 7426 | 4541 |
| --- | --- | --- | --- | --- | --- | --- |
| HDFSWrite(10bytes) | 1774 | 1385 | 3643 | 2429 | 5052 | 3715 | | 0 |
| Problem | ACS | TimeACS | SAM | TimeSAM |
| --- | --- | --- | --- | --- |
| 11eil51 | 429.85 | 210.20 | 424.05 | 96.40 |
| 16eil76A | 706.09 | 109.20 | 677.85 | 187.60 | | | 16eil76B | 684.04 | 50.7 | 608.62 | 173.7 |
| --- | --- | --- | --- | --- |
| 16eil76C | 625.87 | 73.00 | 602.06 | 42.25 |
| 16eil76D | 566.56 | 93.20 | 533.12 | 223.45 |
| 21eil101A | 699.46 | 29.00 | 690.39 | 124.30 |
| 21eil101B | 996.41 | 25.95 | 998.71 | 27.90 | | 1 |
| Problem | ACS | TimeACS | SAM | TimeSAM |
| --- | --- | --- | --- | --- |
| 11eil51 | 429.85 | 210.20 | 424.05 | 96.40 |
| 16eil76A | 706.09 | 109.20 | 677.85 | 187.60 | | | nd | Time<br>A1A2BCOurs | Iterations<br>A1A2BCOurs |
| --- | --- | --- |
| 50010 | 0.060.030.120.04 | 168.744.5435.544.2 |
| 100010 | 0.150.030.140.10 | 330.741.6344.454.5 |
| 500020 | 1.70.363.111.08 | 246.846464.269.7 |
| 1000020 | 4.460.584.653.40 | 319.236.3334.4105.2 |
| 3000030 | 276.4524.5910.43 | 446.4103.640977.8 |
| 5000050 | 71.6216.8768.7818.69 | 429.898.4415.154.5 |
| 100000100 | 287.9977.74268.1183.18 | 451.7119422.663 | | 0 |
| Problem | ACS | TimeACS | SAM | TimeSAM |
| --- | --- | --- | --- | --- |
| 11eil51 | 429.85 | 210.20 | 424.05 | 96.40 |
| 16eil76A | 706.09 | 109.20 | 677.85 | 187.60 |
| 16eil76B | 684.04 | 50.7 | 608.62 | 173.7 |
| 16eil76C | 625.87 | 73.00 | 602.06 | 42.25 |
| 16eil76D | 566.56 | 93.20 | 533.12 | 223.45 | | | 21eil101A | 699.46 | 29.00 | 690.39 | 124.30 |
| --- | --- | --- | --- | --- |
| 21eil101B | 996.41 | 25.95 | 998.71 | 27.90 | | 1 |
| Problem | ACS | TimeACS | SAM | TimeSAM |
| --- | --- | --- | --- | --- |
| 11eil51 | 429.85 | 210.20 | 424.05 | 96.40 |
| 16eil76A | 706.09 | 109.20 | 677.85 | 187.60 |
| 16eil76B | 684.04 | 50.7 | 608.62 | 173.7 |
| 16eil76C | 625.87 | 73.00 | 602.06 | 42.25 |
| 16eil76D | 566.56 | 93.20 | 533.12 | 223.45 | | | 500020 | 1.70.363.111.08 | 246.846464.269.7 |
| --- | --- | --- |
| 1000020 | 4.460.584.653.40 | 319.236.3334.4105.2 |
| 3000030 | 276.4524.5910.43 | 446.4103.640977.8 |
| 5000050 | 71.6216.8768.7818.69 | 429.898.4415.154.5 |
| 100000100 | 287.9977.74268.1183.18 | 451.7119422.663 | | 0 |
| Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 |
| --- | --- | --- | --- | --- | --- | --- |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 50.5<br>49.0<br>53.1<br>58.2<br>61.5<br>63.1<br>62.8<br>63.6 | 80.3<br>81.7<br>82.4<br>85.6<br>91.8<br>92.2<br>92.0<br>92.6 | 87.0<br>90.4<br>89.1<br>94.2<br>95.2<br>95.2<br>95.4<br>95.8 | 91.3<br>92.8<br>94.4<br>97.1<br>98.1<br>98.2<br>98.4<br>98.4 | 94.2<br>95.7<br>95.3<br>98.1<br>98.6<br>98.8<br>98.6<br>98.6 | 95.7<br>96.2<br>96.4<br>98.6<br>99.0<br>99.2<br>99.3<br>99.2 | | | Rank(withkLFDA) | 1 | 5 | 10 | 15 | 20 | 30 |
| --- | --- | --- | --- | --- | --- | --- |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 58.6<br>56.9<br>60.3<br>63.3<br>66.8<br>68.2<br>68.3<br>68.6 | 87.6<br>85.8<br>88.4<br>90.7<br>91.5<br>92.8<br>92.6<br>93.4 | 92.4<br>91.8<br>92.8<br>93.7<br>94.8<br>96.2<br>95.9<br>96.8 | 94.8<br>93.6<br>95.3<br>96.2<br>97.7<br>98.1<br>97.7<br>98.3 | 96.7<br>95.4<br>97.3<br>97.8<br>98.4<br>98.6<br>98.6<br>98.8 | 97.4<br>96.2<br>97.7<br>98.4<br>99.2<br>99.4<br>99.2<br>99.5 |
| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 15 | 20 | 30 |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 65.4<br>63.9<br>66.0<br>68.1<br>71.4<br>73.1<br>72.8<br>73.5 | 90.4<br>89.6<br>91.2<br>92.1<br>92.5<br>92.8<br>92.8<br>93.3 | 92.7<br>92.2<br>93.4<br>94.3<br>95.6<br>96.4<br>96.0<br>96.8 | 94.8<br>94.3<br>95.2<br>95.9<br>96.3<br>97.2<br>96.8<br>97.5 | 96.1<br>95.7<br>96.4<br>96.7<br>97.1<br>97.8<br>97.4<br>98.2 | 96.6<br>96.8<br>96.8<br>97.2<br>97.8<br>98.6<br>98.3<br>99.0 | | 1 |
| Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 |
| --- | --- | --- | --- | --- | --- | --- |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 50.5<br>49.0<br>53.1<br>58.2<br>61.5<br>63.1<br>62.8<br>63.6 | 80.3<br>81.7<br>82.4<br>85.6<br>91.8<br>92.2<br>92.0<br>92.6 | 87.0<br>90.4<br>89.1<br>94.2<br>95.2<br>95.2<br>95.4<br>95.8 | 91.3<br>92.8<br>94.4<br>97.1<br>98.1<br>98.2<br>98.4<br>98.4 | 94.2<br>95.7<br>95.3<br>98.1<br>98.6<br>98.8<br>98.6<br>98.6 | 95.7<br>96.2<br>96.4<br>98.6<br>99.0<br>99.2<br>99.3<br>99.2 | | | Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 |
| --- | --- | --- | --- | --- | --- | --- |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 33.5<br>32.3<br>33.9<br>36.7<br>38.6<br>43.3<br>43.0<br>43.8 | 70.1<br>68.9<br>69.3<br>71.7<br>73.1<br>76.2<br>75.7<br>76.8 | 80.0<br>78.9<br>78.1<br>81.7<br>83.7<br>83.9<br>83.5<br>84.2 | 83.4<br>82.6<br>83.8<br>84.3<br>85.2<br>86.1<br>86.3<br>86.9 | 88.8<br>87.6<br>88.9<br>88.4<br>90.4<br>90.7<br>90.4<br>90.7 | 92.8<br>91.2<br>91.8<br>92.4<br>92.7<br>93.4<br>92.8<br>93.2 |
| Rank(withkLFDA) | 1 | 5 | 10 | 15 | 20 | 30 |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 35.8<br>36.0<br>36.8<br>39.0<br>41.2<br>45.4<br>45.1<br>45.8 | 70.5<br>69.7<br>70.9<br>71.9<br>73.6<br>75.8<br>75.5<br>76.3 | 83.7<br>81.7<br>83.4<br>84.3<br>84.8<br>86.7<br>86.5<br>87.2 | 87.9<br>86.4<br>87.3<br>88.6<br>89.2<br>91.4<br>91.6<br>92.3 | 92.0<br>91.6<br>91.6<br>92.8<br>93.2<br>94.6<br>95.0<br>94.3 | 95.6<br>96.1<br>95.4<br>95.6<br>96.3<br>96.5<br>97.2<br>96.8 |
| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 15 | 20 | 30 |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 42.3<br>41.5<br>42.7<br>44.5<br>46.2<br>49.3<br>49.1<br>49.6 | 71.3<br>71.0<br>72.6<br>74.3<br>76.4<br>77.9<br>77.5<br>78.6 | 84.5<br>84.3<br>84.8<br>85.6<br>87.2<br>88.1<br>87.7<br>88.9 | 88.5<br>88.2<br>88.8<br>89.7<br>90.8<br>92.7<br>92.3<br>93.5 | 91.8<br>92.1<br>92.4<br>93.3<br>94.2<br>94.7<br>95.0<br>95.4 | 95.2<br>95.7<br>96.3<br>96.0<br>96.7<br>97.4<br>97.2<br>97.8 | | 0 |
| Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 |
| --- | --- | --- | --- | --- | --- | --- |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 50.5<br>49.0<br>53.1<br>58.2<br>61.5<br>63.1<br>62.8<br>63.6 | 80.3<br>81.7<br>82.4<br>85.6<br>91.8<br>92.2<br>92.0<br>92.6 | 87.0<br>90.4<br>89.1<br>94.2<br>95.2<br>95.2<br>95.4<br>95.8 | 91.3<br>92.8<br>94.4<br>97.1<br>98.1<br>98.2<br>98.4<br>98.4 | 94.2<br>95.7<br>95.3<br>98.1<br>98.6<br>98.8<br>98.6<br>98.6 | 95.7<br>96.2<br>96.4<br>98.6<br>99.0<br>99.2<br>99.3<br>99.2 | | | Rank(withkLFDA) | 1 | 5 | 10 | 15 | 20 | 30 |
| --- | --- | --- | --- | --- | --- | --- |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 58.6<br>56.9<br>60.3<br>63.3<br>66.8<br>68.2<br>68.3<br>68.6 | 87.6<br>85.8<br>88.4<br>90.7<br>91.5<br>92.8<br>92.6<br>93.4 | 92.4<br>91.8<br>92.8<br>93.7<br>94.8<br>96.2<br>95.9<br>96.8 | 94.8<br>93.6<br>95.3<br>96.2<br>97.7<br>98.1<br>97.7<br>98.3 | 96.7<br>95.4<br>97.3<br>97.8<br>98.4<br>98.6<br>98.6<br>98.8 | 97.4<br>96.2<br>97.7<br>98.4<br>99.2<br>99.4<br>99.2<br>99.5 |
| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 15 | 20 | 30 |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 65.4<br>63.9<br>66.0<br>68.1<br>71.4<br>73.1<br>72.8<br>73.5 | 90.4<br>89.6<br>91.2<br>92.1<br>92.5<br>92.8<br>92.8<br>93.3 | 92.7<br>92.2<br>93.4<br>94.3<br>95.6<br>96.4<br>96.0<br>96.8 | 94.8<br>94.3<br>95.2<br>95.9<br>96.3<br>97.2<br>96.8<br>97.5 | 96.1<br>95.7<br>96.4<br>96.7<br>97.1<br>97.8<br>97.4<br>98.2 | 96.6<br>96.8<br>96.8<br>97.2<br>97.8<br>98.6<br>98.3<br>99.0 | | 1 |
| Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 |
| --- | --- | --- | --- | --- | --- | --- |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 50.5<br>49.0<br>53.1<br>58.2<br>61.5<br>63.1<br>62.8<br>63.6 | 80.3<br>81.7<br>82.4<br>85.6<br>91.8<br>92.2<br>92.0<br>92.6 | 87.0<br>90.4<br>89.1<br>94.2<br>95.2<br>95.2<br>95.4<br>95.8 | 91.3<br>92.8<br>94.4<br>97.1<br>98.1<br>98.2<br>98.4<br>98.4 | 94.2<br>95.7<br>95.3<br>98.1<br>98.6<br>98.8<br>98.6<br>98.6 | 95.7<br>96.2<br>96.4<br>98.6<br>99.0<br>99.2<br>99.3<br>99.2 | | | Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 35.8<br>36.0<br>36.8<br>39.0<br>41.2<br>45.4<br>45.1<br>45.8 | 70.5<br>69.7<br>70.9<br>71.9<br>73.6<br>75.8<br>75.5<br>76.3 | 83.7<br>81.7<br>83.4<br>84.3<br>84.8<br>86.7<br>86.5<br>87.2 | 87.9<br>86.4<br>87.3<br>88.6<br>89.2<br>91.4<br>91.6<br>92.3 | 92.0<br>91.6<br>91.6<br>92.8<br>93.2<br>94.6<br>95.0<br>94.3 | 95.6<br>96.1<br>95.4<br>95.6<br>96.3<br>96.5<br>97.2<br>96.8 |
| --- | --- | --- | --- | --- | --- | --- |
| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 15 | 20 | 30 |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 42.3<br>41.5<br>42.7<br>44.5<br>46.2<br>49.3<br>49.1<br>49.6 | 71.3<br>71.0<br>72.6<br>74.3<br>76.4<br>77.9<br>77.5<br>78.6 | 84.5<br>84.3<br>84.8<br>85.6<br>87.2<br>88.1<br>87.7<br>88.9 | 88.5<br>88.2<br>88.8<br>89.7<br>90.8<br>92.7<br>92.3<br>93.5 | 91.8<br>92.1<br>92.4<br>93.3<br>94.2<br>94.7<br>95.0<br>95.4 | 95.2<br>95.7<br>96.3<br>96.0<br>96.7<br>97.4<br>97.2<br>97.8 | | 0 |
| Design | TR | MATEX | MATEXw/grouping |
| --- | --- | --- | --- |
| #Sub. | #Sub. | #MaxSub. | | | | ibmpg1t | 1000 | 830 | 120 |
| --- | --- | --- | --- |
| ibmpg2t | 1000 | 830 | 120 |
| ibmpg3t | 1000 | 874 | 120 |
| ibmpg4t | 1000 | 349 | 143 |
| ibmpg5t | 1000 | 982 | 139 |
| ibmpg6t | 1000 | 932 | 134 | | 1 |
| Design | TR | MATEX | MATEXw/grouping |
| --- | --- | --- | --- |
| #Sub. | #Sub. | #MaxSub. | | | | Homosapiens75 | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Run1 | Run2 | | | | | |
| Subsampleperc | Top3 | Top5 | Top10 | Top3 | Top5 | Top10 |
| 25 | 0 | 0 | 0 | 0 | 0 | 0 |
| 55 | 0 | 0 | 2 | 0 | 1 | 1 |
| 75 | 1 | 1 | 2 | 1 | 1 | 3 |
| 90 | 0 | 0 | 0 | 0 | 0 | 1 |
| 100 | 3 | 5 | 10 | 3 | 5 | 10 | | 0 |
| Design | TR | MATEX | MATEXw/grouping |
| --- | --- | --- | --- |
| #Sub. | #Sub. | #MaxSub. | |
| ibmpg1t | 1000 | 830 | 120 | | | ibmpg2t | 1000 | 830 | 120 |
| --- | --- | --- | --- |
| ibmpg3t | 1000 | 874 | 120 |
| ibmpg4t | 1000 | 349 | 143 |
| ibmpg5t | 1000 | 982 | 139 |
| ibmpg6t | 1000 | 932 | 134 | | 1 |
| Design | TR | MATEX | MATEXw/grouping |
| --- | --- | --- | --- |
| #Sub. | #Sub. | #MaxSub. | |
| ibmpg1t | 1000 | 830 | 120 | | | 90 | 0 | 0 | 0 | 0 | 0 | 1 |
| --- | --- | --- | --- | --- | --- | --- |
| 100 | 3 | 5 | 10 | 3 | 5 | 10 | | 0 |
| Movingobjects | Imp | Roadobjects | Imp | Fixedobjects | Imp |
| --- | --- | --- | --- | --- | --- |
| Child | 32 | Road | 18 | TrafficLight | 17 |
| Pedestrian | 31 | RoadShoulder | 19 | SignSymbol | 16 |
| Animal | 30 | LaneMkgsDriv | 20 | TrafficCone | 15 |
| Bicyclist | 29 | LaneMkgsNonDriv | 21 | ColumnPole | 14 |
| MotorcycleScooter | 28 | Ceilingobjects | Imp | Sidewalk | 13 |
| CartLuggagePram | 27 | Archway | 3 | Bridge | 12 | | | Car | 26 | Tunnel | 2 | ParkingBlock | 11 |
| --- | --- | --- | --- | --- | --- |
| SUVPickupTruck | 25 | Sky | 1 | MiscText | 10 |
| TruckBus | 24 | | | Building | 9 |
| Train | 23 | | | Fence | 8 |
| Misc | 22 | | | Wall | 7 |
| | | | | Tree | 6 |
| | | | | VegetationMisc | 5 |
| | | | | Void | 4 | | 1 |
| Movingobjects | Imp | Roadobjects | Imp | Fixedobjects | Imp |
| --- | --- | --- | --- | --- | --- |
| Child | 32 | Road | 18 | TrafficLight | 17 |
| Pedestrian | 31 | RoadShoulder | 19 | SignSymbol | 16 |
| Animal | 30 | LaneMkgsDriv | 20 | TrafficCone | 15 |
| Bicyclist | 29 | LaneMkgsNonDriv | 21 | ColumnPole | 14 |
| MotorcycleScooter | 28 | Ceilingobjects | Imp | Sidewalk | 13 |
| CartLuggagePram | 27 | Archway | 3 | Bridge | 12 | | | Actions | SlideLeft | SlideRight | Touch | Reach | Push |
| --- | --- | --- | --- | --- | --- |
| VerbValue | 0.0 | 0.1 | 0.2 | 0.3 | 0.4 |
| Actions | Pull | Point | Grasp | Lift | |
| VerbValues | 0.5 | 0.6 | 0.7 | 0.8 | |
| Objects | Tractor | Hammer | Ball | Bus | Modi |
| NounValue | 0.0 | 0.1 | 0.2 | 0.3 | 0.4 |
| Objects | Car | Cup | Cubes | Spiky | |
| NounValues | 0.5 | 0.6 | 0.7 | 0.8 | | | 0 |
| Movingobjects | Imp | Roadobjects | Imp | Fixedobjects | Imp |
| --- | --- | --- | --- | --- | --- |
| Child | 32 | Road | 18 | TrafficLight | 17 |
| Pedestrian | 31 | RoadShoulder | 19 | SignSymbol | 16 |
| Animal | 30 | LaneMkgsDriv | 20 | TrafficCone | 15 |
| Bicyclist | 29 | LaneMkgsNonDriv | 21 | ColumnPole | 14 |
| MotorcycleScooter | 28 | Ceilingobjects | Imp | Sidewalk | 13 |
| CartLuggagePram | 27 | Archway | 3 | Bridge | 12 |
| Car | 26 | Tunnel | 2 | ParkingBlock | 11 |
| SUVPickupTruck | 25 | Sky | 1 | MiscText | 10 |
| TruckBus | 24 | | | Building | 9 |
| Train | 23 | | | Fence | 8 |
| Misc | 22 | | | Wall | 7 | | | | | | | Tree | 6 |
| --- | --- | --- | --- | --- | --- |
| | | | | VegetationMisc | 5 |
| | | | | Void | 4 | | 1 |
| Movingobjects | Imp | Roadobjects | Imp | Fixedobjects | Imp |
| --- | --- | --- | --- | --- | --- |
| Child | 32 | Road | 18 | TrafficLight | 17 |
| Pedestrian | 31 | RoadShoulder | 19 | SignSymbol | 16 |
| Animal | 30 | LaneMkgsDriv | 20 | TrafficCone | 15 |
| Bicyclist | 29 | LaneMkgsNonDriv | 21 | ColumnPole | 14 |
| MotorcycleScooter | 28 | Ceilingobjects | Imp | Sidewalk | 13 |
| CartLuggagePram | 27 | Archway | 3 | Bridge | 12 |
| Car | 26 | Tunnel | 2 | ParkingBlock | 11 |
| SUVPickupTruck | 25 | Sky | 1 | MiscText | 10 |
| TruckBus | 24 | | | Building | 9 |
| Train | 23 | | | Fence | 8 |
| Misc | 22 | | | Wall | 7 | | | Actions | Pull | Point | Grasp | Lift | |
| --- | --- | --- | --- | --- | --- |
| VerbValues | 0.5 | 0.6 | 0.7 | 0.8 | |
| Objects | Tractor | Hammer | Ball | Bus | Modi |
| NounValue | 0.0 | 0.1 | 0.2 | 0.3 | 0.4 |
| Objects | Car | Cup | Cubes | Spiky | |
| NounValues | 0.5 | 0.6 | 0.7 | 0.8 | | | 0 |
| | 100K | 1M | 10M | 100M |
| --- | --- | --- | --- | --- |
| Bib | 0m0.057s | 0m0.638s | 0m8.344s | 1m28.725s |
| LSN | 0m0.225s | 0m1.451s | 0m23.018s | 3m11.318s | | | WD | 0m2.163s | 0m25.032s | 4m10.988s | 113m31.078s |
| --- | --- | --- | --- | --- |
| SP | 0m0.638s | 0m7.048s | 1m28.831s | 15m23.542s | | 1 |
| | 100K | 1M | 10M | 100M |
| --- | --- | --- | --- | --- |
| Bib | 0m0.057s | 0m0.638s | 0m8.344s | 1m28.725s |
| LSN | 0m0.225s | 0m1.451s | 0m23.018s | 3m11.318s | | | measure | P@5 | P@10 | P@20 | NDCG@5 | NDCG@10 | NDCG@20 | MAP | bpref |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | 0.4941 | 0.3824 | 0.2853 | 0.5068 | 0.4248 | 0.3416 | 0.1608 | 0.8536 |
| | 0.3176 | 0.2706 | 0.2118 | 0.3525 | 0.3075 | 0.253 | 0.1151 | 0.7303 |
| | 0.4353 | 0.3471 | 0.2912 | 0.4553 | 0.3871 | 0.3336 | 0.1548 | 0.7590 |
| | 0.6941 | 0.5741 | 0.4235 | 0.7181 | 0.6386 | 0.5024 | 0.291 | 0.8843 |
| | 0.0353 | 0.0294 | 0.0265 | 0.0354 | 0.0317 | 0.0289 | 0.005 | 0.6331 |
| | 0.6235 | 0.4176 | 0.2882 | 0.6447 | 0.4913 | 0.3725 | 0.1579 | 0.9704 |
| | 0.7059 | 0.5882 | 0.4529 | 0.7548 | 0.6549 | 0.5361 | 0.311 | 0.8676 |
| RankClass | 0.7529 | 0.6647 | 0.5176 | 0.7666 | 0.7026 | 0.5867 | 0.3598 | 0.8981 |
| LE-expert | 0.8118 | 0.7118 | 0.5559 | 0.8027 | 0.7361 | 0.618 | 0.3826 | 0.9451 | | 0 |
| | 100K | 1M | 10M | 100M |
| --- | --- | --- | --- | --- |
| Bib | 0m0.057s | 0m0.638s | 0m8.344s | 1m28.725s | | | LSN | 0m0.225s | 0m1.451s | 0m23.018s | 3m11.318s |
| --- | --- | --- | --- | --- |
| WD | 0m2.163s | 0m25.032s | 4m10.988s | 113m31.078s |
| SP | 0m0.638s | 0m7.048s | 1m28.831s | 15m23.542s | | 1 |
| | 100K | 1M | 10M | 100M |
| --- | --- | --- | --- | --- |
| Bib | 0m0.057s | 0m0.638s | 0m8.344s | 1m28.725s | | | RankClass | 0.7529 | 0.6647 | 0.5176 | 0.7666 | 0.7026 | 0.5867 | 0.3598 | 0.8981 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| LE-expert | 0.8118 | 0.7118 | 0.5559 | 0.8027 | 0.7361 | 0.618 | 0.3826 | 0.9451 | | 0 |
| Size | Height | Chestlength | Waistlength | Hiplength | Groupsize |
| --- | --- | --- | --- | --- | --- |
| T1girl | 1241 | 610 | 540 | 661 | 57 |
| T2girl | 1259 | 678 | 622 | 754 | 39 |
| T3girl | 1362 | 660 | 571.5 | 723.5 | 56 | | | T4girl | 1361.5 | 747.5 | 673 | 814 | 34 |
| --- | --- | --- | --- | --- | --- |
| T5girl | 1417 | 832 | 767 | 903 | 9 | | 1 |
| Size | Height | Chestlength | Waistlength | Hiplength | Groupsize |
| --- | --- | --- | --- | --- | --- |
| T1girl | 1241 | 610 | 540 | 661 | 57 |
| T2girl | 1259 | 678 | 622 | 754 | 39 |
| T3girl | 1362 | 660 | 571.5 | 723.5 | 56 | | | Attribute | male | longhair | glasses | hat | tshirt | longsleeves | short | jeans |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| DL-Pure | 80.65 | 63.23 | 30.74 | 57.21 | 37.99 | 71.76 | 35.05 | 60.18 |
| DeCAF | 79.64 | 62.29 | 31.29 | 55.17 | 41.84 | 78.77 | 80.66 | 81.46 |
| Poselets150L2 | 81.70 | 67.07 | 44.24 | 54.01 | 42.16 | 71.70 | 36.71 | 42.56 |
| DLPoselets | 92.10 | 82.26 | 76.25 | 65.55 | 44.83 | 77.31 | 43.71 | 52.52 |
| PANDA | 91.66 | 82.70 | 69.95 | 74.22 | 49.84 | 86.01 | 79.08 | 80.99 | | 0 |
| Size | Height | Chestlength | Waistlength | Hiplength | Groupsize |
| --- | --- | --- | --- | --- | --- |
| T1girl | 1241 | 610 | 540 | 661 | 57 |
| T2girl | 1259 | 678 | 622 | 754 | 39 | | | T3girl | 1362 | 660 | 571.5 | 723.5 | 56 |
| --- | --- | --- | --- | --- | --- |
| T4girl | 1361.5 | 747.5 | 673 | 814 | 34 |
| T5girl | 1417 | 832 | 767 | 903 | 9 | | 1 |
| Size | Height | Chestlength | Waistlength | Hiplength | Groupsize |
| --- | --- | --- | --- | --- | --- |
| T1girl | 1241 | 610 | 540 | 661 | 57 |
| T2girl | 1259 | 678 | 622 | 754 | 39 | | | DLPoselets | 92.10 | 82.26 | 76.25 | 65.55 | 44.83 | 77.31 | 43.71 | 52.52 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| PANDA | 91.66 | 82.70 | 69.95 | 74.22 | 49.84 | 86.01 | 79.08 | 80.99 | | 0 |
| Name | Description |
| --- | --- |
| NRM-glo | Theneuralmodelbyusingthe<br>lasthiddenstatehasthecon-T<br>textinput. |
| NRM-loc | Theneuralmodelbyusingthe<br>weightedsumofhiddenstates<br>asthecontextinput |
| NRM-hyb | Theneuralmodelbyusingthe<br>hybridoftheencodersofNR-<br>gloloc<br>MandNRM | | | IR-l2r | IR-basedmethodwithfourteen<br>differentfeaturesandlearned<br>bylearningtorank |
| --- | --- |
| SMT | Statisticalmachinetranslation<br>modelbyusingtheMoseswith<br>defaultsettings. | | 1 |
| Name | Description |
| --- | --- |
| NRM-glo | Theneuralmodelbyusingthe<br>lasthiddenstatehasthecon-T<br>textinput. |
| NRM-loc | Theneuralmodelbyusingthe<br>weightedsumofhiddenstates<br>asthecontextinput |
| NRM-hyb | Theneuralmodelbyusingthe<br>hybridoftheencodersofNR-<br>gloloc<br>MandNRM | | | Name | Abbr. | Description |
| --- | --- | --- |
| Bar´abasi-Albert | BA | Originalpreferentialattachmentmodel |
| HeuristicallyOptimizedTrade-offs | FKP | Localoptimizationmodel |
| GeneralizedLinearPreference | GLP | Modifiedpreferentialattachmentmodel |
| UnivariateHeuristicallyOptimizedTrade-offs | UFKP | Modifiedlocaloptimizationmodel |
| BivariateHeuristicallyOptimizedTrade-offs | BFKP | Modifiedlocaloptimizationmodel |
| MultivariateHeuristicallyOptimizedTrade-offs | MFKP | Modifiedlocaloptimizationmodel |
| InteractiveGrowth | IG | Modifiedpreferentialattachmentmodel |
| PositiveFeedbackPreference(1) | PFP1 | ModifiedIGmodel |
| PositiveFeedbackPreference(2) | PFP1 | ModifiedPFP1model |
| ASIM | ASIM | Agentbasedtopologygenerator | | 0 |
| Name | Description |
| --- | --- |
| NRM-glo | Theneuralmodelbyusingthe<br>lasthiddenstatehasthecon-T<br>textinput. |
| NRM-loc | Theneuralmodelbyusingthe<br>weightedsumofhiddenstates<br>asthecontextinput | | | NRM-hyb | Theneuralmodelbyusingthe<br>hybridoftheencodersofNR-<br>gloloc<br>MandNRM |
| --- | --- |
| IR-l2r | IR-basedmethodwithfourteen<br>differentfeaturesandlearned<br>bylearningtorank |
| SMT | Statisticalmachinetranslation<br>modelbyusingtheMoseswith<br>defaultsettings. | | 1 |
| Name | Description |
| --- | --- |
| NRM-glo | Theneuralmodelbyusingthe<br>lasthiddenstatehasthecon-T<br>textinput. |
| NRM-loc | Theneuralmodelbyusingthe<br>weightedsumofhiddenstates<br>asthecontextinput | | | GeneralizedLinearPreference | GLP | Modifiedpreferentialattachmentmodel |
| --- | --- | --- |
| UnivariateHeuristicallyOptimizedTrade-offs | UFKP | Modifiedlocaloptimizationmodel |
| BivariateHeuristicallyOptimizedTrade-offs | BFKP | Modifiedlocaloptimizationmodel |
| MultivariateHeuristicallyOptimizedTrade-offs | MFKP | Modifiedlocaloptimizationmodel |
| InteractiveGrowth | IG | Modifiedpreferentialattachmentmodel |
| PositiveFeedbackPreference(1) | PFP1 | ModifiedIGmodel |
| PositiveFeedbackPreference(2) | PFP1 | ModifiedPFP1model |
| ASIM | ASIM | Agentbasedtopologygenerator | | 0 |
| Method | RMSE | WRMSE | DistanceTravelled | RelativeVibration |
| --- | --- | --- | --- | --- |
| BO-DUCB | 0.59±0.09 | 0.31±0.05 | 31.25±1.98 | 0.95±0.04 |
| UBO-DUCB | 0.64±0.12 | 0.34±0.08 | 35.49±1.23 | 0.95±0.04 | | | UIBO-DUCB | 0.59±0.15 | 0.26±0.08 | 16.12±2.04 | 0.61±0.17 |
| --- | --- | --- | --- | --- |
| BO-ES | 0.58±0.10 | 0.32±0.07 | 57.07±2.73 | 1.00 |
| UBO-ES | 0.64±0.12 | 0.34±0.08 | 67.15±2.56 | 1.00±0.03 |
| UIBO-ES | 0.38±0.05 | 0.22±0.05 | 62.85±2.06 | 0.99±0.03 | | 1 |
| Method | RMSE | WRMSE | DistanceTravelled | RelativeVibration |
| --- | --- | --- | --- | --- |
| BO-DUCB | 0.59±0.09 | 0.31±0.05 | 31.25±1.98 | 0.95±0.04 |
| UBO-DUCB | 0.64±0.12 | 0.34±0.08 | 35.49±1.23 | 0.95±0.04 | | | Strategy | RMSE±STD | Time | Nb | µ |
| --- | --- | --- | --- | --- |
| SK-Hype | 0.3279±0.1596 | 0.2145 | 211 | - |
| GKKM | 0.3269±0.1594 | 0.6759 | 7 | 0.9220 |
| M=5,µ=0.2500,σ=0.04500 | | | | |
| CCBS<br>GCBS | 0.3427±0.1751<br>0.3446±0.1767 | 0.0606<br>0.0209 | 6<br>6 | 0.2461<br>0.2439 |
| M=10,µ=0.1111,σ=0.02010 | | | | |
| CCBS<br>GCBS | 0.3361±0.1686<br>0.3428±0.1745 | 0.0671<br>0.0142 | 12<br>9 | 0.1101<br>0.0840 |
| M=20,µ=0.0526,σ=0.01040 | | | | |
| CCBS<br>GCBS | 0.3327±0.1647<br>0.3361±0.1680 | 0.3483<br>0.0106 | 21<br>19 | 0.0514<br>0.0518 |
| M=30,µ=0.0345,σ=0.00710 | | | | |
| CCBS<br>GCBS | 0.3318±0.1637<br>0.3354±0.1669 | 3.6450<br>0.0132 | 28<br>23 | 0.0331<br>0.0336 | | 0 |
| Method | RMSE | WRMSE | DistanceTravelled | RelativeVibration |
| --- | --- | --- | --- | --- |
| BO-DUCB | 0.59±0.09 | 0.31±0.05 | 31.25±1.98 | 0.95±0.04 |
| UBO-DUCB | 0.64±0.12 | 0.34±0.08 | 35.49±1.23 | 0.95±0.04 | | | UIBO-DUCB | 0.59±0.15 | 0.26±0.08 | 16.12±2.04 | 0.61±0.17 |
| --- | --- | --- | --- | --- |
| BO-ES | 0.58±0.10 | 0.32±0.07 | 57.07±2.73 | 1.00 |
| UBO-ES | 0.64±0.12 | 0.34±0.08 | 67.15±2.56 | 1.00±0.03 |
| UIBO-ES | 0.38±0.05 | 0.22±0.05 | 62.85±2.06 | 0.99±0.03 | | 1 |
| Method | RMSE | WRMSE | DistanceTravelled | RelativeVibration |
| --- | --- | --- | --- | --- |
| BO-DUCB | 0.59±0.09 | 0.31±0.05 | 31.25±1.98 | 0.95±0.04 |
| UBO-DUCB | 0.64±0.12 | 0.34±0.08 | 35.49±1.23 | 0.95±0.04 | | | CCBS<br>GCBS | 0.3327±0.1647<br>0.3361±0.1680 | 0.3483<br>0.0106 | 21<br>19 | 0.0514<br>0.0518 |
| --- | --- | --- | --- | --- |
| M=30,µ=0.0345,σ=0.00710 | | | | |
| CCBS<br>GCBS | 0.3318±0.1637<br>0.3354±0.1669 | 3.6450<br>0.0132 | 28<br>23 | 0.0331<br>0.0336 | | 0 |
| task,t,t12 | Onetaskofmatrixfactorizations |
| --- | --- |
| Nproc | Squarerootofthetotalnumberofprocesses |
| fl | ThelowestCPUfrequencysetbyDVFS |
| fh | ThehighestCPUfrequencysetbyDVFS |
| fopt | Optimalidealfrequencytofinishataskwithitsslackeliminated |
| ratio | Ratiobetweensplitdurationsforoptimalfrequencyapproximation |
| TDS(task)in | TDSconsistingoftasksthataredependedbytaskastheinput |
| TDS(task)out | TDSconsistingoftasksthatdependontaskastheinput |
| CritPath | Onetasktracetofinishmatrixfactorizationswithzerototalslack | | | slack | Timethatataskcanbedelayedbywithnooverallperformanceloss |
| --- | --- |
| CurFreq | CurrentCPUfrequencyinuse |
| DoneFlag | Indicatorofthefinishofatask | | 1 |
| task,t,t12 | Onetaskofmatrixfactorizations |
| --- | --- |
| Nproc | Squarerootofthetotalnumberofprocesses |
| fl | ThelowestCPUfrequencysetbyDVFS |
| fh | ThehighestCPUfrequencysetbyDVFS |
| fopt | Optimalidealfrequencytofinishataskwithitsslackeliminated |
| ratio | Ratiobetweensplitdurationsforoptimalfrequencyapproximation |
| TDS(task)in | TDSconsistingoftasksthataredependedbytaskastheinput |
| TDS(task)out | TDSconsistingoftasksthatdependontaskastheinput |
| CritPath | Onetasktracetofinishmatrixfactorizationswithzerototalslack | | | InputData | Value(Min-Max) |
| --- | --- |
| Workloadtraceduration(t) | (4-4) |
| RangeofCPUvaluesforresources | (4-10) |
| RangeofMemoryvaluesforresources | (2-16) |
| RangeofNetworkvaluesforresources | (100-1000) |
| RangeofCPUvaluesforutilization | (2-10) |
| RangeofMemoryvaluesforutilization | (1-16) |
| RangeofNetworkvaluesforutilization | (0-1000) |
| RangeofrevenuevaluesforexecutingVMs | (0.1-1.5) |
| RangeofSLAvaluesofVMs | (0-2) |
| RangeofnumberofVMsforcloudservices | (1-6) |
| Numberofcloudservices | (1-1) |
| Probabilitydistribution | Random | | 0 |
| task,t,t12 | Onetaskofmatrixfactorizations |
| --- | --- |
| Nproc | Squarerootofthetotalnumberofprocesses | | | fl | ThelowestCPUfrequencysetbyDVFS |
| --- | --- |
| fh | ThehighestCPUfrequencysetbyDVFS |
| fopt | Optimalidealfrequencytofinishataskwithitsslackeliminated |
| ratio | Ratiobetweensplitdurationsforoptimalfrequencyapproximation |
| TDS(task)in | TDSconsistingoftasksthataredependedbytaskastheinput |
| TDS(task)out | TDSconsistingoftasksthatdependontaskastheinput |
| CritPath | Onetasktracetofinishmatrixfactorizationswithzerototalslack |
| slack | Timethatataskcanbedelayedbywithnooverallperformanceloss |
| CurFreq | CurrentCPUfrequencyinuse |
| DoneFlag | Indicatorofthefinishofatask | | 1 |
| task,t,t12 | Onetaskofmatrixfactorizations |
| --- | --- |
| Nproc | Squarerootofthetotalnumberofprocesses | | | RangeofNetworkvaluesforresources | (100-1000) |
| --- | --- |
| RangeofCPUvaluesforutilization | (2-10) |
| RangeofMemoryvaluesforutilization | (1-16) |
| RangeofNetworkvaluesforutilization | (0-1000) |
| RangeofrevenuevaluesforexecutingVMs | (0.1-1.5) |
| RangeofSLAvaluesofVMs | (0-2) |
| RangeofnumberofVMsforcloudservices | (1-6) |
| Numberofcloudservices | (1-1) |
| Probabilitydistribution | Random | | 0 |
| Model | ByUser | ByDay | InFuture |
| --- | --- | --- | --- |
| SocialSampling | 0.0391 | 0.0455 | 0.0403 |
| PerformanceModel | 0.0782 | 0.0783 | 0.0626 |
| AdditiveModel | 0.0402 | 0.0478 | 0.0420 | | | PopularityModel | 0.0400 | 0.0465 | 0.0409 |
| --- | --- | --- | --- |
| FullRegression | 0.0527 | 0.0569 | 0.0480 |
| PerformanceRegression | 0.0782 | 0.0783 | 0.0625 | | 1 |
| Model | ByUser | ByDay | InFuture |
| --- | --- | --- | --- |
| SocialSampling | 0.0391 | 0.0455 | 0.0403 |
| PerformanceModel | 0.0782 | 0.0783 | 0.0626 |
| AdditiveModel | 0.0402 | 0.0478 | 0.0420 | | | Model | ByUser | ByDay | InFuture |
| --- | --- | --- | --- |
| SocialSampling | 1.2924 | 2.1673 | 2.2389 |
| PerformanceModel | 3.0727 | 3.0683 | 2.3864 |
| AdditiveModel | 1.3194 | 2.1294 | 2.0707 |
| PopularityModel | 1.3215 | 2.1768 | 2.1428 |
| FullRegression | 2.1291 | 2.6120 | 2.0933 |
| PerformanceRegression | 3.0728 | 3.0682 | 2.3858 | | 0 |
| Model | ByUser | ByDay | InFuture |
| --- | --- | --- | --- |
| SocialSampling | 0.0391 | 0.0455 | 0.0403 | | | PerformanceModel | 0.0782 | 0.0783 | 0.0626 |
| --- | --- | --- | --- |
| AdditiveModel | 0.0402 | 0.0478 | 0.0420 |
| PopularityModel | 0.0400 | 0.0465 | 0.0409 |
| FullRegression | 0.0527 | 0.0569 | 0.0480 |
| PerformanceRegression | 0.0782 | 0.0783 | 0.0625 | | 1 |
| Model | ByUser | ByDay | InFuture |
| --- | --- | --- | --- |
| SocialSampling | 0.0391 | 0.0455 | 0.0403 | | | PerformanceModel | 3.0727 | 3.0683 | 2.3864 |
| --- | --- | --- | --- |
| AdditiveModel | 1.3194 | 2.1294 | 2.0707 |
| PopularityModel | 1.3215 | 2.1768 | 2.1428 |
| FullRegression | 2.1291 | 2.6120 | 2.0933 |
| PerformanceRegression | 3.0728 | 3.0682 | 2.3858 | | 0 |
| | Rawpredictions | Correctedpredictions |
| --- | --- | --- |
| a | ...OOOIIII... | ...OOBIIII... | | | b | ...OOOBOOO... | ...OOOBIOO... |
| --- | --- | --- |
| c | ...OOOBOII... | ...OOOBIII... |
| d | ...OOOBIIBII... | ...OOOBIIIII... | | 1 |
| | Rawpredictions | Correctedpredictions |
| --- | --- | --- |
| a | ...OOOIIII... | ...OOBIIII... | | | name | AB | FDCS | ABCS | FINDER | FMC | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | #bcktr | #bcktr | #Tbcktr | #bcktr | #Tbcktr | #bcktr | #bcktr |
| oddeven<br>wickedoe | 4<br>64 | 0<br>0 | 0<br>0 | 0<br>0 | 0<br>0 | 1<br>8 | 3<br>52 |
| appendlast<br>reverselast<br>nreverselast<br>schedule | 43<br>30<br>190170<br>24 | 24<br>68<br>?<br>13 | 1<br>2<br>?<br>1 | 55<br>303<br>?<br>106 | 1<br>2<br>?<br>1 | 618<br>614<br>7<br>>5.10<br>37 | 110019<br>23445<br>?<br>497 |
| multiseto<br>multisetl | 10<br>3 | 7<br>6 | 0<br>1 | 30<br>21 | 0<br>1 | 0<br>12 | 104<br>469 |
| blockpair2o<br>blockpair3o<br>blockpair2l<br>blockpair3l<br>blocksol | 17<br>56<br>28<br>130<br>3615 | 25<br>25<br>3943<br>4009<br>1396146 | 0<br>0<br>2<br>2<br>385 | 49<br>51<br>2733<br>2737<br>1970544 | 0<br>0<br>2<br>2<br>169 | 262<br>879<br>68<br>366<br>4007523 | 5567<br>?<br>91404<br>?<br>? |
| BOO019-1 | 72 | 4 | 0 | 34 | 0 | 14 | 33 | | 0 |
| | Rawpredictions | Correctedpredictions |
| --- | --- | --- |
| a | ...OOOIIII... | ...OOBIIII... |
| b | ...OOOBOOO... | ...OOOBIOO... | | | c | ...OOOBOII... | ...OOOBIII... |
| --- | --- | --- |
| d | ...OOOBIIBII... | ...OOOBIIIII... | | 1 |
| | Rawpredictions | Correctedpredictions |
| --- | --- | --- |
| a | ...OOOIIII... | ...OOBIIII... |
| b | ...OOOBOOO... | ...OOOBIOO... | | | multiseto<br>multisetl | 10<br>3 | 7<br>6 | 0<br>1 | 30<br>21 | 0<br>1 | 0<br>12 | 104<br>469 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| blockpair2o<br>blockpair3o<br>blockpair2l<br>blockpair3l<br>blocksol | 17<br>56<br>28<br>130<br>3615 | 25<br>25<br>3943<br>4009<br>1396146 | 0<br>0<br>2<br>2<br>385 | 49<br>51<br>2733<br>2737<br>1970544 | 0<br>0<br>2<br>2<br>169 | 262<br>879<br>68<br>366<br>4007523 | 5567<br>?<br>91404<br>?<br>? |
| BOO019-1 | 72 | 4 | 0 | 34 | 0 | 14 | 33 | | 0 |
| | UnderSegmentation | Accuracy | MCC | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Method | Mean | SD | Mean | SD | Mean | SD |
| OurMethod | 2.643167 | 2.667397 | 99.01979 | 0.575767 | 0.938438 | 0.033661 | | | 2-ClassCNN | 8.944368 | 9.749133 | 96.76865 | 1.907359 | 0.852528 | 0.047596 |
| --- | --- | --- | --- | --- | --- | --- |
| U-Net | 2.758809 | 0.343256 | 99.69015 | 0.016499 | 0.977921 | 0.000479 |
| LevelSet | 27.792356 | 22.945279 | 96.98377 | 1.231796 | 0.792400 | 0.066891 | | 1 |
| | UnderSegmentation | Accuracy | MCC | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Method | Mean | SD | Mean | SD | Mean | SD |
| OurMethod | 2.643167 | 2.667397 | 99.01979 | 0.575767 | 0.938438 | 0.033661 | | | Method | AVG-<br>AUC | M-<br>AUC | SK-<br>AUC | M-<br>SP82 | M-<br>SP89 | M-<br>SP95 | M-<br>SENS | M-<br>SPEC | SK-<br>SENS |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| [24]TopAVG | 0.911 | 0.868 | 0.953 | 0.729 | 0.588 | 0.366 | 0.735 | 0.851 | 0.978 |
| [25]TopSK | 0.910 | 0.856 | 0.965 | 0.727 | 0.555 | 0.404 | 0.103 | 0.998 | 0.178 |
| [26]TopM | 0.908 | 0.874 | 0.943 | 0.747 | 0.590 | 0.395 | 0.547 | 0.950 | 0.356 |
| AVGSC | 0.913 | 0.872 | 0.954 | 0.778 | 0.605 | 0.435 | 0.214 | 0.988 | 0.600 |
| L-SVM | 0.926 | 0.892 | 0.960 | 0.834 | 0.692 | 0.571 | 0.718 | 0.901 | 0.878 |
| NL-SVM | 0.904 | 0.853 | 0.955 | 0.801 | 0.449 | 0.168 | 0.675 | 0.909 | 0.889 | | 0 |
| | UnderSegmentation | Accuracy | MCC | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Method | Mean | SD | Mean | SD | Mean | SD |
| OurMethod | 2.643167 | 2.667397 | 99.01979 | 0.575767 | 0.938438 | 0.033661 |
| 2-ClassCNN | 8.944368 | 9.749133 | 96.76865 | 1.907359 | 0.852528 | 0.047596 | | | U-Net | 2.758809 | 0.343256 | 99.69015 | 0.016499 | 0.977921 | 0.000479 |
| --- | --- | --- | --- | --- | --- | --- |
| LevelSet | 27.792356 | 22.945279 | 96.98377 | 1.231796 | 0.792400 | 0.066891 | | 1 |
| | UnderSegmentation | Accuracy | MCC | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Method | Mean | SD | Mean | SD | Mean | SD |
| OurMethod | 2.643167 | 2.667397 | 99.01979 | 0.575767 | 0.938438 | 0.033661 |
| 2-ClassCNN | 8.944368 | 9.749133 | 96.76865 | 1.907359 | 0.852528 | 0.047596 | | | [25]TopSK | 0.910 | 0.856 | 0.965 | 0.727 | 0.555 | 0.404 | 0.103 | 0.998 | 0.178 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| [26]TopM | 0.908 | 0.874 | 0.943 | 0.747 | 0.590 | 0.395 | 0.547 | 0.950 | 0.356 |
| AVGSC | 0.913 | 0.872 | 0.954 | 0.778 | 0.605 | 0.435 | 0.214 | 0.988 | 0.600 |
| L-SVM | 0.926 | 0.892 | 0.960 | 0.834 | 0.692 | 0.571 | 0.718 | 0.901 | 0.878 |
| NL-SVM | 0.904 | 0.853 | 0.955 | 0.801 | 0.449 | 0.168 | 0.675 | 0.909 | 0.889 | | 0 |
| Type | Dim | Type | Dim |
| --- | --- | --- | --- |
| Centeredmask | 64 | SIFThistogramtop | 100 |
| Boundingbox | 2 | SIFThistogramright | 100 | | | Super-pixelarea | 1 | SIFThistogramleft | 100 |
| --- | --- | --- | --- |
| Absolutemask | 64 | Meancolor | 3 |
| Topheight | 1 | Colorstandarddeviation | 3 |
| Textonhistogram | 100 | Colorhistogram | 33 |
| Dilatedtextonhistogram | 100 | Dilatedcolorhistogram | 33 |
| SIFThistogram | 100 | Colorthumbnail | 192 |
| DilatedSIFThistogram | 100 | Maskedcolorthumbnail | 192 |
| SIFThistogrambottom | 100 | GIST | 320 | | 1 |
| Type | Dim | Type | Dim |
| --- | --- | --- | --- |
| Centeredmask | 64 | SIFThistogramtop | 100 |
| Boundingbox | 2 | SIFThistogramright | 100 | | | Dataset | Numberoffeatures | Numberofinstances | Numberofclasses |
| --- | --- | --- | --- |
| connect-4 | 42 | 67,557 | 3 |
| splice | 60 | 3,175 | 3 |
| waveform | 40 | 5,000 | 3 |
| landsat | 36 | 6,435 | 6 |
| lung | 325 | 73 | 7 |
| lymph | 4,026 | 96 | 9 |
| NCI9 | 9,712 | 60 | 9 | | 0 |
| Type | Dim | Type | Dim |
| --- | --- | --- | --- |
| Centeredmask | 64 | SIFThistogramtop | 100 |
| Boundingbox | 2 | SIFThistogramright | 100 |
| Super-pixelarea | 1 | SIFThistogramleft | 100 | | | Absolutemask | 64 | Meancolor | 3 |
| --- | --- | --- | --- |
| Topheight | 1 | Colorstandarddeviation | 3 |
| Textonhistogram | 100 | Colorhistogram | 33 |
| Dilatedtextonhistogram | 100 | Dilatedcolorhistogram | 33 |
| SIFThistogram | 100 | Colorthumbnail | 192 |
| DilatedSIFThistogram | 100 | Maskedcolorthumbnail | 192 |
| SIFThistogrambottom | 100 | GIST | 320 | | 1 |
| Type | Dim | Type | Dim |
| --- | --- | --- | --- |
| Centeredmask | 64 | SIFThistogramtop | 100 |
| Boundingbox | 2 | SIFThistogramright | 100 |
| Super-pixelarea | 1 | SIFThistogramleft | 100 | | | lung | 325 | 73 | 7 |
| --- | --- | --- | --- |
| lymph | 4,026 | 96 | 9 |
| NCI9 | 9,712 | 60 | 9 | | 0 |
| Dataset | F1 | | | |
| --- | --- | --- | --- | --- |
| All | removedfeatures | | | |
| (1) | (2) | (3) | (4) | (5) | | | DTwitter | 0.796 | 0.784 | 0.751 | 0.796 | 0.767 | - |
| --- | --- | --- | --- | --- | --- | --- |
| DGoogle+ | 0.898 | 0.889 | 0.887 | 0.898 | 0.889 | - |
| DFamily | 0.845 | - | 0.840 | 0.833 | 0.833 | |
| DFriend | 0.810 | - | 0.798 | 0.802 | 0.800 | |
| DColleague | 0.737 | - | 0.730 | 0.726 | 0.727 | |
| Dataset | AUC | | | | | |
| All | removedfeatures | | | | | |
| (1) | (2) | (3) | (4) | (5) | | |
| DTwitter | 0.850 | 0.835 | 0.812 | 0.850 | 0.832 | - |
| DGoogle+ | 0.899 | 0.892 | 0.891 | 0.898 | 0.890 | - |
| DFamily | 0.879 | - | 0.875 | 0.867 | 0.870 | |
| DFriend | 0.844 | - | 0.840 | 0.839 | 0.835 | |
| DColleague | 0.752 | - | 0.748 | 0.743 | 0.745 | | | 1 |
| Dataset | F1 | | | |
| --- | --- | --- | --- | --- |
| All | removedfeatures | | | |
| (1) | (2) | (3) | (4) | (5) | | | Dataset | c | DPBook | EM | SVT | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1:1 | 1:3 | 1:k | 1:k | 1:1 | | | | |
| BMS-PO | 50 | 0.061 | 0.001 | 0.010 | 0.008 | 0.015 | 0.008 | 0.002 |
| 100 | 0.561 | 0.006 | 0.242 | 0.087 | 0.070 | 0.046 | 0.049 | |
| 150 | 0.674 | 0.048 | 0.502 | 0.339 | 0.243 | 0.209 | 0.184 | |
| 200 | 0.691 | 0.093 | 0.632 | 0.571 | 0.518 | 0.481 | 0.302 | |
| 250 | 0.658 | 0.123 | 0.645 | 0.596 | 0.574 | 0.554 | 0.312 | |
| 300 | 0.619 | 0.140 | 0.645 | 0.599 | 0.557 | 0.581 | 0.283 | |
| Kosarak | 50 | 0.731 | 0.000 | 0.027 | 0.010 | 0.008 | 0.006 | 0.004 |
| 100 | 0.984 | 0.033 | 0.932 | 0.658 | 0.346 | 0.398 | 0.777 | |
| 150 | 0.986 | 0.139 | 0.974 | 0.932 | 0.836 | 0.850 | 0.931 | |
| 200 | 0.987 | 0.218 | 0.981 | 0.969 | 0.936 | 0.955 | 0.958 | |
| 250 | 0.984 | 0.273 | 0.980 | 0.975 | 0.963 | 0.963 | 0.960 | |
| 300 | 0.986 | 0.315 | 0.981 | 0.976 | 0.975 | 0.971 | 0.967 | |
| AOL | 50 | 0.219 | 0.001 | 0.011 | 0.009 | 0.014 | 0.008 | 0.002 |
| 100 | 0.995 | 0.004 | 0.746 | 0.066 | 0.078 | 0.022 | 0.548 | |
| 150 | 1.000 | 0.153 | 0.987 | 0.901 | 0.531 | 0.587 | 0.978 | |
| 200 | 1.000 | 0.412 | 0.998 | 0.989 | 0.952 | 0.961 | 0.996 | |
| 250 | 1.000 | 0.572 | 1.000 | 0.997 | 0.991 | 0.992 | 0.998 | |
| 300 | 1.000 | 0.683 | 0.999 | 0.999 | 0.995 | 0.997 | 0.999 | | | 0 |
| Dataset | F1 | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| All | removedfeatures | | | | | |
| (1) | (2) | (3) | (4) | (5) | | |
| DTwitter | 0.796 | 0.784 | 0.751 | 0.796 | 0.767 | - |
| DGoogle+ | 0.898 | 0.889 | 0.887 | 0.898 | 0.889 | - |
| DFamily | 0.845 | - | 0.840 | 0.833 | 0.833 | |
| DFriend | 0.810 | - | 0.798 | 0.802 | 0.800 | |
| DColleague | 0.737 | - | 0.730 | 0.726 | 0.727 | |
| Dataset | AUC | | | | | |
| All | removedfeatures | | | | | |
| (1) | (2) | (3) | (4) | (5) | | | | | DTwitter | 0.850 | 0.835 | 0.812 | 0.850 | 0.832 | - |
| --- | --- | --- | --- | --- | --- | --- |
| DGoogle+ | 0.899 | 0.892 | 0.891 | 0.898 | 0.890 | - |
| DFamily | 0.879 | - | 0.875 | 0.867 | 0.870 | |
| DFriend | 0.844 | - | 0.840 | 0.839 | 0.835 | |
| DColleague | 0.752 | - | 0.748 | 0.743 | 0.745 | | | 1 |
| Dataset | F1 | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| All | removedfeatures | | | | | |
| (1) | (2) | (3) | (4) | (5) | | |
| DTwitter | 0.796 | 0.784 | 0.751 | 0.796 | 0.767 | - |
| DGoogle+ | 0.898 | 0.889 | 0.887 | 0.898 | 0.889 | - |
| DFamily | 0.845 | - | 0.840 | 0.833 | 0.833 | |
| DFriend | 0.810 | - | 0.798 | 0.802 | 0.800 | |
| DColleague | 0.737 | - | 0.730 | 0.726 | 0.727 | |
| Dataset | AUC | | | | | |
| All | removedfeatures | | | | | |
| (1) | (2) | (3) | (4) | (5) | | | | | 100 | 0.561 | 0.006 | 0.242 | 0.087 | 0.070 | 0.046 | 0.049 | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 150 | 0.674 | 0.048 | 0.502 | 0.339 | 0.243 | 0.209 | 0.184 | |
| 200 | 0.691 | 0.093 | 0.632 | 0.571 | 0.518 | 0.481 | 0.302 | |
| 250 | 0.658 | 0.123 | 0.645 | 0.596 | 0.574 | 0.554 | 0.312 | |
| 300 | 0.619 | 0.140 | 0.645 | 0.599 | 0.557 | 0.581 | 0.283 | |
| Kosarak | 50 | 0.731 | 0.000 | 0.027 | 0.010 | 0.008 | 0.006 | 0.004 |
| 100 | 0.984 | 0.033 | 0.932 | 0.658 | 0.346 | 0.398 | 0.777 | |
| 150 | 0.986 | 0.139 | 0.974 | 0.932 | 0.836 | 0.850 | 0.931 | |
| 200 | 0.987 | 0.218 | 0.981 | 0.969 | 0.936 | 0.955 | 0.958 | |
| 250 | 0.984 | 0.273 | 0.980 | 0.975 | 0.963 | 0.963 | 0.960 | |
| 300 | 0.986 | 0.315 | 0.981 | 0.976 | 0.975 | 0.971 | 0.967 | |
| AOL | 50 | 0.219 | 0.001 | 0.011 | 0.009 | 0.014 | 0.008 | 0.002 |
| 100 | 0.995 | 0.004 | 0.746 | 0.066 | 0.078 | 0.022 | 0.548 | |
| 150 | 1.000 | 0.153 | 0.987 | 0.901 | 0.531 | 0.587 | 0.978 | |
| 200 | 1.000 | 0.412 | 0.998 | 0.989 | 0.952 | 0.961 | 0.996 | |
| 250 | 1.000 | 0.572 | 1.000 | 0.997 | 0.991 | 0.992 | 0.998 | |
| 300 | 1.000 | 0.683 | 0.999 | 0.999 | 0.995 | 0.997 | 0.999 | | | 0 |
| No.ofbuses | 14-bus | 57-bus | 118-bus |
| --- | --- | --- | --- |
| No.oflines | 20 | 80 | 186 |
| Totalno.ofmeasurements | 20 | 80 | 180 | | | No.ofinjectmeasurements | 8 | 30 | 70 |
| --- | --- | --- | --- |
| No.offlowmeasurements | 12 | 50 | 110 |
| No.ofunmeasuredlines | 1 | 2 | 7 | | 1 |
| No.ofbuses | 14-bus | 57-bus | 118-bus |
| --- | --- | --- | --- |
| No.oflines | 20 | 80 | 186 |
| Totalno.ofmeasurements | 20 | 80 | 180 | | | NumberofVertices |
| --- |
| 5M |
| 41M |
| 34M |
| 134M |
| 101M |
| 0.5M |
| 1M |
| 2M | | 0 |
| No.ofbuses | 14-bus | 57-bus | 118-bus |
| --- | --- | --- | --- |
| No.oflines | 20 | 80 | 186 |
| Totalno.ofmeasurements | 20 | 80 | 180 |
| No.ofinjectmeasurements | 8 | 30 | 70 | | | No.offlowmeasurements | 12 | 50 | 110 |
| --- | --- | --- | --- |
| No.ofunmeasuredlines | 1 | 2 | 7 | | 1 |
| No.ofbuses | 14-bus | 57-bus | 118-bus |
| --- | --- | --- | --- |
| No.oflines | 20 | 80 | 186 |
| Totalno.ofmeasurements | 20 | 80 | 180 |
| No.ofinjectmeasurements | 8 | 30 | 70 | | | 34M |
| --- |
| 134M |
| 101M |
| 0.5M |
| 1M |
| 2M | | 0 |
| Configuration | Queryfiltering | Expansion |
| --- | --- | --- |
| Conf(baseline)1 | Original(q) | - |
| Conf2 | Filtered(q)f | - | | | Conf3 | Filtered(q)f | NonPersonalized |
| --- | --- | --- |
| Conf4 | Filtered(q)f | Personalized |
| Conf5 | Original(q) | NonPersonalized |
| Conf6 | Original(q) | Personalized | | 1 |
| Configuration | Queryfiltering | Expansion |
| --- | --- | --- |
| Conf(baseline)1 | Original(q) | - |
| Conf2 | Filtered(q)f | - | | | Query | Algebraoperators |
| --- | --- |
| Cooking,Q2 | ,,,FILTERAPPLY+INNERDJOINREDUCE |
| Grouping | ,,APPLY+INNERDJOINREDUCE |
| Q1,Q4,Q5 | ,REBOXREDUCE |
| Q3 | APPLY+ |
| Q6 | ,,REBOXAPPLY+FILTER |
| Q7 | REBOX |
| Q8,Q9 | ,REBOXSHIFT | | 0 |
| Configuration | Queryfiltering | Expansion |
| --- | --- | --- |
| Conf(baseline)1 | Original(q) | - |
| Conf2 | Filtered(q)f | - |
| Conf3 | Filtered(q)f | NonPersonalized | | | Conf4 | Filtered(q)f | Personalized |
| --- | --- | --- |
| Conf5 | Original(q) | NonPersonalized |
| Conf6 | Original(q) | Personalized | | 1 |
| Configuration | Queryfiltering | Expansion |
| --- | --- | --- |
| Conf(baseline)1 | Original(q) | - |
| Conf2 | Filtered(q)f | - |
| Conf3 | Filtered(q)f | NonPersonalized | | | Q3 | APPLY+ |
| --- | --- |
| Q6 | ,,REBOXAPPLY+FILTER |
| Q7 | REBOX |
| Q8,Q9 | ,REBOXSHIFT | | 0 |
| MedLine | Prec | Rec | F-score | Lx | errorTest |
| --- | --- | --- | --- | --- | --- |
| (1) | 0.3564 | 0.5450 | 0.4310 | L0 | 0.0305 |
| (2) | 0.3806 | 0.5023 | 0.4331 | L1,L2 | 0.0432 |
| (3) | 0.3773 | 0.5266 | 0.4395 | L2 | 0.0418 | | | DrugBank | Prec | Rec | F-score | Lx | errorTest |
| --- | --- | --- | --- | --- | --- |
| (1) | 0.6312 | 0.5372 | 0.5805 | L0 | 0.07900 |
| (2) | 0.6438 | 0.6398 | 0.6417 | L0,L2 | 0.0802 |
| (3) | 0.6305 | 0.5380 | 0.5806 | L0 | 0.0776 | | 1 |
| MedLine | Prec | Rec | F-score | Lx | errorTest |
| --- | --- | --- | --- | --- | --- |
| (1) | 0.3564 | 0.5450 | 0.4310 | L0 | 0.0305 |
| (2) | 0.3806 | 0.5023 | 0.4331 | L1,L2 | 0.0432 |
| (3) | 0.3773 | 0.5266 | 0.4395 | L2 | 0.0418 | | | Lvl | Trial1 | Trial2 | Trial3 | Trial4 | Avg |
| --- | --- | --- | --- | --- | --- |
| 1 | 32350 | 32350 | 32330 | 32330 | 32340.0 |
| 2 | 60820 | 52070 | 60630 | 51530 | 56262.5 |
| 3 | 42630 | 42630 | 41820 | 42630 | 42427.5 |
| 4 | 28120 | 28120 | 28430 | 28120 | 28197.5 |
| 5 | 64330 | 69100 | 63520 | 58070 | 63755.0 |
| 6 | 24470 | 33510 | 26270 | 33510 | 29440.0 |
| 7 | 33200 | 22660 | 23300 | 31940 | 27775.0 |
| 8 | 34710 | 47520 | 39120 | 44820 | 41542.5 |
| 9 | 24370 | 40010 | 40920 | 41440 | 36685.0 |
| tot. | 345000 | 367970 | 356340 | 364390 | 358425 | | 0 |
| MedLine | Prec | Rec | F-score | Lx | errorTest |
| --- | --- | --- | --- | --- | --- |
| (1) | 0.3564 | 0.5450 | 0.4310 | L0 | 0.0305 |
| (2) | 0.3806 | 0.5023 | 0.4331 | L1,L2 | 0.0432 |
| (3) | 0.3773 | 0.5266 | 0.4395 | L2 | 0.0418 |
| DrugBank | Prec | Rec | F-score | Lx | errorTest | | | (1) | 0.6312 | 0.5372 | 0.5805 | L0 | 0.07900 |
| --- | --- | --- | --- | --- | --- |
| (2) | 0.6438 | 0.6398 | 0.6417 | L0,L2 | 0.0802 |
| (3) | 0.6305 | 0.5380 | 0.5806 | L0 | 0.0776 | | 1 |
| MedLine | Prec | Rec | F-score | Lx | errorTest |
| --- | --- | --- | --- | --- | --- |
| (1) | 0.3564 | 0.5450 | 0.4310 | L0 | 0.0305 |
| (2) | 0.3806 | 0.5023 | 0.4331 | L1,L2 | 0.0432 |
| (3) | 0.3773 | 0.5266 | 0.4395 | L2 | 0.0418 |
| DrugBank | Prec | Rec | F-score | Lx | errorTest | | | 7 | 33200 | 22660 | 23300 | 31940 | 27775.0 |
| --- | --- | --- | --- | --- | --- |
| 8 | 34710 | 47520 | 39120 | 44820 | 41542.5 |
| 9 | 24370 | 40010 | 40920 | 41440 | 36685.0 |
| tot. | 345000 | 367970 | 356340 | 364390 | 358425 | | 0 |
| +Commonattributes | =30 | ≥27 | ≥24 | ≥21 | ≥18 | ≥15 | ≥1 | ≤5 | Average |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| TAD | | | | | | | | | |
| B1K<br>B10K<br>Bagging0.1<br>Bagging0.2<br>Bagging0.3<br>Bagging0.4<br>Bagging0.5<br>Bagging0.6<br>Bagging0.7<br>Bagging0.8<br>Bagging0.9<br>Bagging1 | 2<br>9<br>16<br>11<br>6<br>3<br>2<br>1<br>1<br>1<br>1<br>1 | 10<br>14<br>24<br>16<br>12<br>9<br>7<br>5<br>3<br>1<br>1<br>1 | 14<br>18<br>33<br>22<br>16<br>12<br>8<br>7<br>5<br>3<br>1<br>1 | 18<br>25<br>40<br>26<br>20<br>16<br>11<br>8<br>7<br>4<br>3<br>1 | 23<br>28<br>51<br>28<br>22<br>18<br>16<br>11<br>8<br>5<br>4<br>1 | 23<br>36<br>66<br>37<br>26<br>21<br>17<br>14<br>12<br>7<br>4<br>1 | 246<br>325<br>430<br>241<br>167<br>125<br>86<br>65<br>51<br>38<br>30<br>14 | 188<br>236<br>269<br>162<br>114<br>86<br>56<br>45<br>33<br>23<br>19<br>11 | 41.77<br>60.67<br>98.27<br>54.10<br>36.77<br>27.47<br>20.70<br>16.43<br>12.87<br>9.37<br>6.17<br>3.05 | | | TAK | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| B1K<br>B10K<br>Bagging0.1<br>Bagging0.2<br>Bagging0.3<br>Bagging0.4<br>Bagging0.5<br>Bagging0.6<br>Bagging0.7<br>Bagging0.8<br>Bagging0.9<br>Bagging1 | 6<br>9<br>13<br>10<br>6<br>2<br>2<br>2<br>2<br>2<br>2<br>1 | 12<br>17<br>31<br>17<br>11<br>9<br>4<br>2<br>2<br>2<br>2<br>2 | 17<br>25<br>42<br>25<br>14<br>11<br>8<br>6<br>3<br>2<br>2<br>2 | 26<br>34<br>50<br>33<br>21<br>13<br>11<br>8<br>5<br>3<br>2<br>2 | 32<br>34<br>56<br>39<br>31<br>18<br>13<br>10<br>6<br>5<br>2<br>2 | 37<br>43<br>69<br>45<br>36<br>22<br>18<br>14<br>9<br>5<br>2<br>2 | 171<br>217<br>330<br>179<br>128<br>99<br>79<br>62<br>48<br>35<br>29<br>13 | 103<br>139<br>203<br>102<br>73<br>53<br>39<br>37<br>29<br>21<br>23<br>11 | 45.07<br>54.10<br>85.60<br>52.73<br>38.13<br>28.73<br>21.73<br>16.20<br>11.63<br>8.00<br>5.17<br>2.70 | | 1 |
| +Commonattributes | =30 | ≥27 | ≥24 | ≥21 | ≥18 | ≥15 | ≥1 | ≤5 | Average |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| TAD | | | | | | | | | |
| B1K<br>B10K<br>Bagging0.1<br>Bagging0.2<br>Bagging0.3<br>Bagging0.4<br>Bagging0.5<br>Bagging0.6<br>Bagging0.7<br>Bagging0.8<br>Bagging0.9<br>Bagging1 | 2<br>9<br>16<br>11<br>6<br>3<br>2<br>1<br>1<br>1<br>1<br>1 | 10<br>14<br>24<br>16<br>12<br>9<br>7<br>5<br>3<br>1<br>1<br>1 | 14<br>18<br>33<br>22<br>16<br>12<br>8<br>7<br>5<br>3<br>1<br>1 | 18<br>25<br>40<br>26<br>20<br>16<br>11<br>8<br>7<br>4<br>3<br>1 | 23<br>28<br>51<br>28<br>22<br>18<br>16<br>11<br>8<br>5<br>4<br>1 | 23<br>36<br>66<br>37<br>26<br>21<br>17<br>14<br>12<br>7<br>4<br>1 | 246<br>325<br>430<br>241<br>167<br>125<br>86<br>65<br>51<br>38<br>30<br>14 | 188<br>236<br>269<br>162<br>114<br>86<br>56<br>45<br>33<br>23<br>19<br>11 | 41.77<br>60.67<br>98.27<br>54.10<br>36.77<br>27.47<br>20.70<br>16.43<br>12.87<br>9.37<br>6.17<br>3.05 | | | Depth | Para | C-10 |
| --- | --- | --- |
| - | | 7.25 |
| 110 | 1.7M | 6.61 |
| 28 | 36.5M | 4.17 |
| 1001 | 10.2M | 4.62 |
| 40<br>100<br>100<br>190 | 1.0M<br>7.0M<br>27.2M<br>25.6M | 5.24<br>4.10<br>3.74<br>3.46 |
| -<br>- | -<br>11.2M | 7.32<br>6.92 |
| 15<br>20<br>39<br>39 | 4.2M<br>2.5M<br>7.1M<br>37.4M | 5.50<br>6.01<br>4.47<br>3.65 |
| 25<br>37<br>19<br>22 | -<br>-<br>6.1M<br>39.8M | 3.60<br>3.80<br>4.38<br>3.54 | | 0 |
| +Commonattributes | =30 | ≥27 | ≥24 | ≥21 | ≥18 | ≥15 | ≥1 | ≤5 | Average |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| TAD | | | | | | | | | |
| B1K<br>B10K<br>Bagging0.1<br>Bagging0.2<br>Bagging0.3<br>Bagging0.4<br>Bagging0.5<br>Bagging0.6<br>Bagging0.7<br>Bagging0.8<br>Bagging0.9<br>Bagging1 | 2<br>9<br>16<br>11<br>6<br>3<br>2<br>1<br>1<br>1<br>1<br>1 | 10<br>14<br>24<br>16<br>12<br>9<br>7<br>5<br>3<br>1<br>1<br>1 | 14<br>18<br>33<br>22<br>16<br>12<br>8<br>7<br>5<br>3<br>1<br>1 | 18<br>25<br>40<br>26<br>20<br>16<br>11<br>8<br>7<br>4<br>3<br>1 | 23<br>28<br>51<br>28<br>22<br>18<br>16<br>11<br>8<br>5<br>4<br>1 | 23<br>36<br>66<br>37<br>26<br>21<br>17<br>14<br>12<br>7<br>4<br>1 | 246<br>325<br>430<br>241<br>167<br>125<br>86<br>65<br>51<br>38<br>30<br>14 | 188<br>236<br>269<br>162<br>114<br>86<br>56<br>45<br>33<br>23<br>19<br>11 | 41.77<br>60.67<br>98.27<br>54.10<br>36.77<br>27.47<br>20.70<br>16.43<br>12.87<br>9.37<br>6.17<br>3.05 | | | TAK | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| B1K<br>B10K<br>Bagging0.1<br>Bagging0.2<br>Bagging0.3<br>Bagging0.4<br>Bagging0.5<br>Bagging0.6<br>Bagging0.7<br>Bagging0.8<br>Bagging0.9<br>Bagging1 | 6<br>9<br>13<br>10<br>6<br>2<br>2<br>2<br>2<br>2<br>2<br>1 | 12<br>17<br>31<br>17<br>11<br>9<br>4<br>2<br>2<br>2<br>2<br>2 | 17<br>25<br>42<br>25<br>14<br>11<br>8<br>6<br>3<br>2<br>2<br>2 | 26<br>34<br>50<br>33<br>21<br>13<br>11<br>8<br>5<br>3<br>2<br>2 | 32<br>34<br>56<br>39<br>31<br>18<br>13<br>10<br>6<br>5<br>2<br>2 | 37<br>43<br>69<br>45<br>36<br>22<br>18<br>14<br>9<br>5<br>2<br>2 | 171<br>217<br>330<br>179<br>128<br>99<br>79<br>62<br>48<br>35<br>29<br>13 | 103<br>139<br>203<br>102<br>73<br>53<br>39<br>37<br>29<br>21<br>23<br>11 | 45.07<br>54.10<br>85.60<br>52.73<br>38.13<br>28.73<br>21.73<br>16.20<br>11.63<br>8.00<br>5.17<br>2.70 | | 1 |
| +Commonattributes | =30 | ≥27 | ≥24 | ≥21 | ≥18 | ≥15 | ≥1 | ≤5 | Average |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| TAD | | | | | | | | | |
| B1K<br>B10K<br>Bagging0.1<br>Bagging0.2<br>Bagging0.3<br>Bagging0.4<br>Bagging0.5<br>Bagging0.6<br>Bagging0.7<br>Bagging0.8<br>Bagging0.9<br>Bagging1 | 2<br>9<br>16<br>11<br>6<br>3<br>2<br>1<br>1<br>1<br>1<br>1 | 10<br>14<br>24<br>16<br>12<br>9<br>7<br>5<br>3<br>1<br>1<br>1 | 14<br>18<br>33<br>22<br>16<br>12<br>8<br>7<br>5<br>3<br>1<br>1 | 18<br>25<br>40<br>26<br>20<br>16<br>11<br>8<br>7<br>4<br>3<br>1 | 23<br>28<br>51<br>28<br>22<br>18<br>16<br>11<br>8<br>5<br>4<br>1 | 23<br>36<br>66<br>37<br>26<br>21<br>17<br>14<br>12<br>7<br>4<br>1 | 246<br>325<br>430<br>241<br>167<br>125<br>86<br>65<br>51<br>38<br>30<br>14 | 188<br>236<br>269<br>162<br>114<br>86<br>56<br>45<br>33<br>23<br>19<br>11 | 41.77<br>60.67<br>98.27<br>54.10<br>36.77<br>27.47<br>20.70<br>16.43<br>12.87<br>9.37<br>6.17<br>3.05 | | | 1001 | 10.2M | 4.62 |
| --- | --- | --- |
| 40<br>100<br>100<br>190 | 1.0M<br>7.0M<br>27.2M<br>25.6M | 5.24<br>4.10<br>3.74<br>3.46 |
| -<br>- | -<br>11.2M | 7.32<br>6.92 |
| 15<br>20<br>39<br>39 | 4.2M<br>2.5M<br>7.1M<br>37.4M | 5.50<br>6.01<br>4.47<br>3.65 |
| 25<br>37<br>19<br>22 | -<br>-<br>6.1M<br>39.8M | 3.60<br>3.80<br>4.38<br>3.54 | | 0 |
| Method | 750 | 3000 | 12000 | 50000 | 200000 |
| --- | --- | --- | --- | --- | --- |
| DC | (0.1422,1.5259) | (0.1112,0.4187) | (0.0290,0.2091) | (0.0184,0.1071) | (0.0085,0.0361) |
| HF | (0.1133,0.3985) | (0.1236,3.0128) | (0.0828,6.2417) | (0.0325,4.7646) | (0.0343,14.158) | | | (d,d)2∞ | | | | | |
| --- | --- | --- | --- | --- | --- |
| DC | 0.040 | 0.196 | 1.12 | 5.88 | 59.1 |
| HF | 1.58 | 4.91 | 19.2 | 80.6 | 339 |
| timing(sec) | | | | | | | 1 |
| Method | 750 | 3000 | 12000 | 50000 | 200000 |
| --- | --- | --- | --- | --- | --- |
| DC | (0.1422,1.5259) | (0.1112,0.4187) | (0.0290,0.2091) | (0.0184,0.1071) | (0.0085,0.0361) |
| HF | (0.1133,0.3985) | (0.1236,3.0128) | (0.0828,6.2417) | (0.0325,4.7646) | (0.0343,14.158) | | | Method | 800 | 2500 | 10000 | 40000 |
| --- | --- | --- | --- | --- |
| DC | (0.7436,2.1873) | (0.3404,1.1705) | (0.1457,0.4359) | (0.0686,0.2651) |
| HF | (∞,∞) | (0.4247,4.0458) | (0.1545,1.3129) | (0.0716,2.0045) |
| BD | (1.1520,6.5863) | (0.7330,4.9571) | (0.3930,3.9686) | (0.2873,5.2264) |
| (d,d)2∞ | | | | |
| DC | 0.236 | 1.27 | 5.84 | 42.3 |
| HF | 0.966 | 2.24 | 8.52 | 37.4 |
| BD | 38.0 | 116 | 475 | 1941 |
| timing(sec) | | | | | | 0 |
| Method | 750 | 3000 | 12000 | 50000 | 200000 |
| --- | --- | --- | --- | --- | --- |
| DC | (0.1422,1.5259) | (0.1112,0.4187) | (0.0290,0.2091) | (0.0184,0.1071) | (0.0085,0.0361) | | | HF | (0.1133,0.3985) | (0.1236,3.0128) | (0.0828,6.2417) | (0.0325,4.7646) | (0.0343,14.158) |
| --- | --- | --- | --- | --- | --- |
| (d,d)2∞ | | | | | |
| DC | 0.040 | 0.196 | 1.12 | 5.88 | 59.1 |
| HF | 1.58 | 4.91 | 19.2 | 80.6 | 339 |
| timing(sec) | | | | | | | 1 |
| Method | 750 | 3000 | 12000 | 50000 | 200000 |
| --- | --- | --- | --- | --- | --- |
| DC | (0.1422,1.5259) | (0.1112,0.4187) | (0.0290,0.2091) | (0.0184,0.1071) | (0.0085,0.0361) | | | BD | (1.1520,6.5863) | (0.7330,4.9571) | (0.3930,3.9686) | (0.2873,5.2264) |
| --- | --- | --- | --- | --- |
| (d,d)2∞ | | | | |
| DC | 0.236 | 1.27 | 5.84 | 42.3 |
| HF | 0.966 | 2.24 | 8.52 | 37.4 |
| BD | 38.0 | 116 | 475 | 1941 |
| timing(sec) | | | | | | 0 |
| ScoringTechnique | nSn | nSp | sSn | nPPV | sPPV | nPC | nCC |
| --- | --- | --- | --- | --- | --- | --- | --- |
| PMSSumMin | 0.3889 | 0.8745 | 0.4970 | 0.2516 | 0.9999 | 0.1803 | 0.2184 |
| DMESumMin | 0.0658 | 0.9192 | 0.1265 | 0.0811 | 0.9995 | 0.0377 | -0.0166 | | | BestDMESumMin | 0.1020 | 0.9646 | 0.1383 | 0.2381 | 0.9992 | 0.0769 | 0.0987 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| PMSSumMinD | 0.3889 | 0.8745 | 0.4970 | 0.2516 | 0.9999 | 0.1803 | 0.2184 |
| DMESumMinD | 0.0658 | 0.9192 | 0.1265 | 0.0811 | 0.9995 | 0.0377 | -0.0166 |
| BestDMESumMinD | 0.1020 | 0.9646 | 0.1383 | 0.2381 | 0.9992 | 0.0769 | 0.0987 |
| PMSSumMin500 | 0.3447 | 0.8695 | 0.4678 | 0.2229 | 1.0000 | 0.1565 | 0.1776 |
| PMSSumMinD500 | 0.3447 | 0.8695 | 0.4678 | 0.2229 | 1.0000 | 0.1565 | 0.1776 |
| DMESumMin500 | 0.0669 | 0.9663 | 0.0851 | 0.1777 | 1.0000 | 0.0511 | 0.0525 | | 1 |
| ScoringTechnique | nSn | nSp | sSn | nPPV | sPPV | nPC | nCC |
| --- | --- | --- | --- | --- | --- | --- | --- |
| PMSSumMin | 0.3889 | 0.8745 | 0.4970 | 0.2516 | 0.9999 | 0.1803 | 0.2184 |
| DMESumMin | 0.0658 | 0.9192 | 0.1265 | 0.0811 | 0.9995 | 0.0377 | -0.0166 | | | ScoringTechnique | nSn | nSp | sSn | nPPV | sPPV | nPC | nCC |
| --- | --- | --- | --- | --- | --- | --- | --- |
| PMSSumMin | 0.6139 | 0.9227 | 0.6149 | 0.3240 | 0.9988 | 0.2692 | 0.4009 |
| DMESumMin | 0.4385 | 0.9354 | 0.5380 | 0.2907 | 0.9986 | 0.2118 | 0.3093 |
| BestDMESumMin | 0.4385 | 0.9354 | 0.5380 | 0.2907 | 0.9986 | 0.2118 | 0.3093 |
| PMSSumMinD | 0.7718 | 0.8910 | 0.7769 | 0.2993 | 0.9986 | 0.2750 | 0.4340 |
| DMESumMinD | 0.5788 | 0.8899 | 0.6659 | 0.2409 | 0.9983 | 0.2050 | 0.3161 |
| BestDMESumMinD | 0.4385 | 0.9354 | 0.5380 | 0.2907 | 0.9986 | 0.2118 | 0.3093 |
| PMSSumMin500 | 0.4386 | 0.9408 | 0.4167 | 0.3125 | 1.0000 | 0.2232 | 0.3251 |
| PMSSumMinD500 | 0.4386 | 0.9408 | 0.4167 | 0.3125 | 1.0000 | 0.2232 | 0.3251 |
| DMESumMin500 | 0.0877 | 0.9440 | 0.0833 | 0.0877 | 1.0000 | 0.0459 | 0.0327 | | 0 |
| ScoringTechnique | nSn | nSp | sSn | nPPV | sPPV | nPC | nCC |
| --- | --- | --- | --- | --- | --- | --- | --- |
| PMSSumMin | 0.3889 | 0.8745 | 0.4970 | 0.2516 | 0.9999 | 0.1803 | 0.2184 |
| DMESumMin | 0.0658 | 0.9192 | 0.1265 | 0.0811 | 0.9995 | 0.0377 | -0.0166 |
| BestDMESumMin | 0.1020 | 0.9646 | 0.1383 | 0.2381 | 0.9992 | 0.0769 | 0.0987 |
| PMSSumMinD | 0.3889 | 0.8745 | 0.4970 | 0.2516 | 0.9999 | 0.1803 | 0.2184 |
| DMESumMinD | 0.0658 | 0.9192 | 0.1265 | 0.0811 | 0.9995 | 0.0377 | -0.0166 |
| BestDMESumMinD | 0.1020 | 0.9646 | 0.1383 | 0.2381 | 0.9992 | 0.0769 | 0.0987 |
| PMSSumMin500 | 0.3447 | 0.8695 | 0.4678 | 0.2229 | 1.0000 | 0.1565 | 0.1776 | | | PMSSumMinD500 | 0.3447 | 0.8695 | 0.4678 | 0.2229 | 1.0000 | 0.1565 | 0.1776 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| DMESumMin500 | 0.0669 | 0.9663 | 0.0851 | 0.1777 | 1.0000 | 0.0511 | 0.0525 | | 1 |
| ScoringTechnique | nSn | nSp | sSn | nPPV | sPPV | nPC | nCC |
| --- | --- | --- | --- | --- | --- | --- | --- |
| PMSSumMin | 0.3889 | 0.8745 | 0.4970 | 0.2516 | 0.9999 | 0.1803 | 0.2184 |
| DMESumMin | 0.0658 | 0.9192 | 0.1265 | 0.0811 | 0.9995 | 0.0377 | -0.0166 |
| BestDMESumMin | 0.1020 | 0.9646 | 0.1383 | 0.2381 | 0.9992 | 0.0769 | 0.0987 |
| PMSSumMinD | 0.3889 | 0.8745 | 0.4970 | 0.2516 | 0.9999 | 0.1803 | 0.2184 |
| DMESumMinD | 0.0658 | 0.9192 | 0.1265 | 0.0811 | 0.9995 | 0.0377 | -0.0166 |
| BestDMESumMinD | 0.1020 | 0.9646 | 0.1383 | 0.2381 | 0.9992 | 0.0769 | 0.0987 |
| PMSSumMin500 | 0.3447 | 0.8695 | 0.4678 | 0.2229 | 1.0000 | 0.1565 | 0.1776 | | | PMSSumMinD500 | 0.4386 | 0.9408 | 0.4167 | 0.3125 | 1.0000 | 0.2232 | 0.3251 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| DMESumMin500 | 0.0877 | 0.9440 | 0.0833 | 0.0877 | 1.0000 | 0.0459 | 0.0327 | | 0 |
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