Shapley Interaction Estimation on Diabetes
99.37Cosine SimilarityTN-SHAP
Evaluation results
| Method | Links | ||
|---|---|---|---|
| TN-SHAPOrder=k = 1, Budget=–, Targets=892025.10 | 99.37 | 0.0005 | |
| KernelSHAPIQOrder=k = 1, Budget=2000.0, Targets=892025.10 | 99.23 | 0.0005 | |
| RegressionFSIIOrder=k = 1, Budget=2000.0, Targets=892025.10 | 99.23 | 0.0005 | |
| SHAPIQ (MonteCarlo SII)Order=k = 1, Budget=2000.0, Targets=892025.10 | 99.23 | 0.0005 | |
| KernelSHAPIQOrder=k = 1, Budget=10000.0, Targets=892025.10 | 99.21 | 0.0006 | |
| PermutationSampOrder=k = 1, Budget=2000.0, Targets=892025.10 | 99.21 | 0.0005 | |
| PermutationSampOrder=k = 1, Budget=10000.0, Targets=892025.10 | 99.21 | 0.0006 | |
| RegressionFSIIOrder=k = 1, Budget=10000.0, Targets=892025.10 | 99.21 | 0.0006 | |
| SHAPIQ (MonteCarlo SII)Order=k = 1, Budget=10000.0, Targets=892025.10 | 99.21 | 0.0006 | |
| PermutationSampOrder=k = 1, Budget=500.0, Targets=892025.10 | 99.13 | 0.0007 | |
| KernelSHAPIQOrder=k = 1, Budget=500.0, Targets=892025.10 | 99.1 | 0.0007 | |
| RegressionFSIIOrder=k = 1, Budget=500.0, Targets=892025.10 | 99.1 | 0.0007 | |
| PermutationSampOrder=k = 1, Budget=50.0, Targets=892025.10 | 98.97 | 0.0007 | |
| SHAPIQ (MonteCarlo SII)Order=k = 1, Budget=1000.0, Targets=892025.10 | 98.64 | 0.001 | |
| KernelSHAPIQOrder=k = 1, Budget=1000.0, Targets=892025.10 | 98.63 | 0.001 | |
| RegressionFSIIOrder=k = 1, Budget=1000.0, Targets=892025.10 | 98.63 | 0.001 | |
| SHAPIQ (MonteCarlo SII)Order=k = 1, Budget=500.0, Targets=892025.10 | 98.63 | 0.001 | |
| PermutationSampOrder=k = 1, Budget=1000.0, Targets=892025.10 | 98.57 | 0.001 | |
| PermutationSampOrder=k = 1, Budget=100.0, Targets=892025.10 | 98.53 | 0.0011 | |
| KernelSHAPIQOrder=k = 1, Budget=100.0, Targets=892025.10 | 98.47 | 0.0011 | |
| RegressionFSIIOrder=k = 1, Budget=100.0, Targets=892025.10 | 98.47 | 0.0011 | |
| KernelSHAPIQOrder=k = 1, Budget=50.0, Targets=892025.10 | 98.27 | 0.0012 | |
| RegressionFSIIOrder=k = 1, Budget=50.0, Targets=892025.10 | 98.27 | 0.0012 | |
| SHAPIQ (MonteCarlo SII)Order=k = 1, Budget=100.0, Targets=892025.10 | 91.2 | 0.0081 | |
| SHAPIQ (MonteCarlo SII)Order=k = 1, Budget=50.0, Targets=892025.10 | 84.46 | 0.014 | |
| RegressionFSIIOrder=k = 2, Budget=2000.0, Targets=89, Time (s)=0.4549 ± 0.02322025.10 | 73.42 | 0.0002 | |
| KernelSHAPIQOrder=k = 2, Budget=2000.0, Targets=89, Time (s)=0.4621 ± 0.04182025.10 | 72.04 | 0.0002 | |
| SHAPIQ (MonteCarlo SII)Order=k = 2, Budget=2000.0, Targets=89, Time (s)=0.4621 ± 0.01502025.10 | 72.04 | 0.0002 | |
| PermutationSampOrder=k = 2, Budget=2000.0, Targets=89, Time (s)=1.1447 ± 0.12332025.10 | 69.41 | 0.0003 | |
| RegressionFSIIOrder=k = 2, Budget=500.0, Targets=89, Time (s)=0.2765 ± 0.01602025.10 | 69.23 | 0.0003 | |
| RegressionFSIIOrder=k = 2, Budget=10000.0, Targets=89, Time (s)=0.4554 ± 0.02252025.10 | 69.16 | 0.0003 | |
| RegressionFSIIOrder=k = 2, Budget=1000.0, Targets=89, Time (s)=0.4774 ± 0.01962025.10 | 68.92 | 0.0003 | |
| KernelSHAPIQOrder=k = 2, Budget=10000.0, Targets=89, Time (s)=0.4656 ± 0.07612025.10 | 67.87 | 0.0003 | |
| SHAPIQ (MonteCarlo SII)Order=k = 2, Budget=10000.0, Targets=89, Time (s)=0.4619 ± 0.02072025.10 | 67.87 | 0.0003 | |
| PermutationSampOrder=k = 2, Budget=10000.0, Targets=89, Time (s)=5.6492 ± 0.34302025.10 | 66.83 | 0.0003 | |
| KernelSHAPIQOrder=k = 2, Budget=500.0, Targets=89, Time (s)=0.2772 ± 0.02632025.10 | 65.05 | 0.0003 | |
| KernelSHAPIQOrder=k = 2, Budget=1000.0, Targets=89, Time (s)=0.4834 ± 0.01842025.10 | 64.62 | 0.0003 | |
| TN-SHAPOrder=k = 2, Budget=–, Targets=89, Time (s)=0.0058 ± 0.0097 (+0.0654)2025.10 | 64.35 | 0.0004 | |
| SHAPIQ (MonteCarlo SII)Order=k = 2, Budget=1000.0, Targets=89, Time (s)=0.4899 ± 0.02202025.10 | 61.23 | 0.0004 | |
| RegressionFSIIOrder=k = 2, Budget=100.0, Targets=89, Time (s)=0.0867 ± 0.00612025.10 | 57.47 | 0.0004 | |
| PermutationSampOrder=k = 2, Budget=1000.0, Targets=89, Time (s)=0.5874 ± 0.04872025.10 | 46.94 | 0.0008 | |
| PermutationSampOrder=k = 2, Budget=500.0, Targets=89, Time (s)=0.2996 ± 0.03752025.10 | 43.24 | 0.0006 | |
| KernelSHAPIQOrder=k = 2, Budget=100.0, Targets=89, Time (s)=0.0891 ± 0.01362025.10 | 41.29 | 0.001 | |
| SHAPIQ (MonteCarlo SII)Order=k = 2, Budget=500.0, Targets=89, Time (s)=0.2819 ± 0.04032025.10 | 26.49 | 0.0028 | |
| PermutationSampOrder=k = 2, Budget=100.0, Targets=89, Time (s)=0.0857 ± 0.01412025.10 | 15.6 | 0.0006 | |
| KernelSHAPIQOrder=k = 2, Budget=50.0, Targets=89, Time (s)=0.0599 ± 0.00862025.10 | 9.09 | 0.1269 | |
| RegressionFSIIOrder=k = 2, Budget=50.0, Targets=89, Time (s)=0.0585 ± 0.00402025.10 | 7.85 | 0.2331 | |
| SHAPIQ (MonteCarlo SII)Order=k = 2, Budget=100.0, Targets=89, Time (s)=0.0911 ± 0.01522025.10 | 6.24 | 0.0434 | |
| SHAPIQ (MonteCarlo SII)Order=k = 2, Budget=50.0, Targets=89, Time (s)=0.0619 ± 0.01072025.10 | 3.69 | 0.131 | |
| PermutationSampOrder=k = 2, Budget=50.0, Targets=89, Time (s)=0.0265 ± 0.00392025.10 | 0 | 0.0006 |