Restaurant
GED / Shannon
| output1 | output2 | output3 | output4 | output5 | output6 | output7 | output8 | output9 | output10 | output11 | output12 | output13 | output14 | output15 | output16 | output17 | output18 | output19 | output20 | output21 | output22 | output23 | output24 | output25 | output26 | output27 | output28 | output29 | output30 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| output1 | output1 ↔ output1 1.000 | output1 ↔ output2 0.892 | output1 ↔ output3 0.706 | output1 ↔ output4 0.920 | output1 ↔ output5 0.920 | output1 ↔ output6 0.920 | output1 ↔ output7 0.920 | output1 ↔ output8 0.863 | output1 ↔ output9 0.920 | output1 ↔ output10 0.920 | output1 ↔ output11 0.920 | output1 ↔ output12 0.920 | output1 ↔ output13 0.863 | output1 ↔ output14 0.920 | output1 ↔ output15 0.863 | output1 ↔ output16 0.920 | output1 ↔ output17 0.863 | output1 ↔ output18 0.920 | output1 ↔ output19 0.920 | output1 ↔ output20 0.920 | output1 ↔ output21 0.920 | output1 ↔ output22 0.863 | output1 ↔ output23 0.920 | output1 ↔ output24 0.920 | output1 ↔ output25 0.863 | output1 ↔ output26 0.920 | output1 ↔ output27 0.920 | output1 ↔ output28 0.920 | output1 ↔ output29 0.920 | output1 ↔ output30 0.863 |
| output2 | output2 ↔ output1 0.892 | output2 ↔ output2 1.000 | output2 ↔ output3 0.813 | output2 ↔ output4 0.972 | output2 ↔ output5 0.972 | output2 ↔ output6 0.972 | output2 ↔ output7 0.972 | output2 ↔ output8 0.971 | output2 ↔ output9 0.972 | output2 ↔ output10 0.972 | output2 ↔ output11 0.972 | output2 ↔ output12 0.972 | output2 ↔ output13 0.971 | output2 ↔ output14 0.972 | output2 ↔ output15 0.971 | output2 ↔ output16 0.972 | output2 ↔ output17 0.971 | output2 ↔ output18 0.972 | output2 ↔ output19 0.972 | output2 ↔ output20 0.972 | output2 ↔ output21 0.972 | output2 ↔ output22 0.971 | output2 ↔ output23 0.972 | output2 ↔ output24 0.972 | output2 ↔ output25 0.971 | output2 ↔ output26 0.972 | output2 ↔ output27 0.972 | output2 ↔ output28 0.972 | output2 ↔ output29 0.972 | output2 ↔ output30 0.971 |
| output3 | output3 ↔ output1 0.706 | output3 ↔ output2 0.813 | output3 ↔ output3 1.000 | output3 ↔ output4 0.785 | output3 ↔ output5 0.785 | output3 ↔ output6 0.785 | output3 ↔ output7 0.785 | output3 ↔ output8 0.841 | output3 ↔ output9 0.785 | output3 ↔ output10 0.785 | output3 ↔ output11 0.785 | output3 ↔ output12 0.785 | output3 ↔ output13 0.841 | output3 ↔ output14 0.785 | output3 ↔ output15 0.841 | output3 ↔ output16 0.785 | output3 ↔ output17 0.841 | output3 ↔ output18 0.785 | output3 ↔ output19 0.785 | output3 ↔ output20 0.785 | output3 ↔ output21 0.785 | output3 ↔ output22 0.841 | output3 ↔ output23 0.785 | output3 ↔ output24 0.785 | output3 ↔ output25 0.841 | output3 ↔ output26 0.785 | output3 ↔ output27 0.785 | output3 ↔ output28 0.785 | output3 ↔ output29 0.785 | output3 ↔ output30 0.841 |
| output4 | output4 ↔ output1 0.920 | output4 ↔ output2 0.972 | output4 ↔ output3 0.785 | output4 ↔ output4 1.000 | output4 ↔ output5 1.000 | output4 ↔ output6 1.000 | output4 ↔ output7 1.000 | output4 ↔ output8 0.943 | output4 ↔ output9 1.000 | output4 ↔ output10 1.000 | output4 ↔ output11 1.000 | output4 ↔ output12 1.000 | output4 ↔ output13 0.943 | output4 ↔ output14 1.000 | output4 ↔ output15 0.943 | output4 ↔ output16 1.000 | output4 ↔ output17 0.943 | output4 ↔ output18 1.000 | output4 ↔ output19 1.000 | output4 ↔ output20 1.000 | output4 ↔ output21 1.000 | output4 ↔ output22 0.943 | output4 ↔ output23 1.000 | output4 ↔ output24 1.000 | output4 ↔ output25 0.943 | output4 ↔ output26 1.000 | output4 ↔ output27 1.000 | output4 ↔ output28 1.000 | output4 ↔ output29 1.000 | output4 ↔ output30 0.943 |
| output5 | output5 ↔ output1 0.920 | output5 ↔ output2 0.972 | output5 ↔ output3 0.785 | output5 ↔ output4 1.000 | output5 ↔ output5 1.000 | output5 ↔ output6 0.944 | output5 ↔ output7 1.000 | output5 ↔ output8 0.943 | output5 ↔ output9 1.000 | output5 ↔ output10 1.000 | output5 ↔ output11 1.000 | output5 ↔ output12 1.000 | output5 ↔ output13 0.943 | output5 ↔ output14 1.000 | output5 ↔ output15 0.943 | output5 ↔ output16 1.000 | output5 ↔ output17 0.943 | output5 ↔ output18 1.000 | output5 ↔ output19 1.000 | output5 ↔ output20 1.000 | output5 ↔ output21 1.000 | output5 ↔ output22 0.943 | output5 ↔ output23 1.000 | output5 ↔ output24 1.000 | output5 ↔ output25 0.943 | output5 ↔ output26 1.000 | output5 ↔ output27 1.000 | output5 ↔ output28 1.000 | output5 ↔ output29 1.000 | output5 ↔ output30 0.943 |
| output6 | output6 ↔ output1 0.920 | output6 ↔ output2 0.972 | output6 ↔ output3 0.785 | output6 ↔ output4 1.000 | output6 ↔ output5 0.944 | output6 ↔ output6 1.000 | output6 ↔ output7 1.000 | output6 ↔ output8 0.943 | output6 ↔ output9 0.944 | output6 ↔ output10 0.944 | output6 ↔ output11 0.944 | output6 ↔ output12 0.944 | output6 ↔ output13 0.943 | output6 ↔ output14 0.944 | output6 ↔ output15 0.943 | output6 ↔ output16 0.944 | output6 ↔ output17 0.943 | output6 ↔ output18 0.944 | output6 ↔ output19 0.944 | output6 ↔ output20 0.944 | output6 ↔ output21 0.944 | output6 ↔ output22 0.943 | output6 ↔ output23 0.944 | output6 ↔ output24 0.944 | output6 ↔ output25 0.943 | output6 ↔ output26 0.944 | output6 ↔ output27 0.944 | output6 ↔ output28 0.944 | output6 ↔ output29 0.944 | output6 ↔ output30 0.943 |
| output7 | output7 ↔ output1 0.920 | output7 ↔ output2 0.972 | output7 ↔ output3 0.785 | output7 ↔ output4 1.000 | output7 ↔ output5 1.000 | output7 ↔ output6 1.000 | output7 ↔ output7 1.000 | output7 ↔ output8 0.943 | output7 ↔ output9 1.000 | output7 ↔ output10 1.000 | output7 ↔ output11 1.000 | output7 ↔ output12 1.000 | output7 ↔ output13 0.943 | output7 ↔ output14 1.000 | output7 ↔ output15 0.943 | output7 ↔ output16 1.000 | output7 ↔ output17 0.943 | output7 ↔ output18 1.000 | output7 ↔ output19 1.000 | output7 ↔ output20 1.000 | output7 ↔ output21 1.000 | output7 ↔ output22 0.943 | output7 ↔ output23 1.000 | output7 ↔ output24 1.000 | output7 ↔ output25 0.943 | output7 ↔ output26 1.000 | output7 ↔ output27 1.000 | output7 ↔ output28 1.000 | output7 ↔ output29 1.000 | output7 ↔ output30 0.943 |
| output8 | output8 ↔ output1 0.863 | output8 ↔ output2 0.971 | output8 ↔ output3 0.841 | output8 ↔ output4 0.943 | output8 ↔ output5 0.943 | output8 ↔ output6 0.943 | output8 ↔ output7 0.943 | output8 ↔ output8 1.000 | output8 ↔ output9 0.943 | output8 ↔ output10 0.943 | output8 ↔ output11 0.943 | output8 ↔ output12 0.943 | output8 ↔ output13 1.000 | output8 ↔ output14 0.943 | output8 ↔ output15 1.000 | output8 ↔ output16 0.943 | output8 ↔ output17 1.000 | output8 ↔ output18 0.943 | output8 ↔ output19 0.943 | output8 ↔ output20 0.943 | output8 ↔ output21 0.943 | output8 ↔ output22 1.000 | output8 ↔ output23 0.943 | output8 ↔ output24 0.943 | output8 ↔ output25 1.000 | output8 ↔ output26 0.943 | output8 ↔ output27 0.943 | output8 ↔ output28 0.943 | output8 ↔ output29 0.943 | output8 ↔ output30 1.000 |
| output9 | output9 ↔ output1 0.920 | output9 ↔ output2 0.972 | output9 ↔ output3 0.785 | output9 ↔ output4 1.000 | output9 ↔ output5 1.000 | output9 ↔ output6 0.944 | output9 ↔ output7 1.000 | output9 ↔ output8 0.943 | output9 ↔ output9 1.000 | output9 ↔ output10 1.000 | output9 ↔ output11 1.000 | output9 ↔ output12 1.000 | output9 ↔ output13 0.943 | output9 ↔ output14 1.000 | output9 ↔ output15 0.943 | output9 ↔ output16 1.000 | output9 ↔ output17 0.943 | output9 ↔ output18 1.000 | output9 ↔ output19 1.000 | output9 ↔ output20 1.000 | output9 ↔ output21 1.000 | output9 ↔ output22 0.943 | output9 ↔ output23 1.000 | output9 ↔ output24 1.000 | output9 ↔ output25 0.943 | output9 ↔ output26 1.000 | output9 ↔ output27 1.000 | output9 ↔ output28 1.000 | output9 ↔ output29 1.000 | output9 ↔ output30 0.943 |
| output10 | output10 ↔ output1 0.920 | output10 ↔ output2 0.972 | output10 ↔ output3 0.785 | output10 ↔ output4 1.000 | output10 ↔ output5 1.000 | output10 ↔ output6 0.944 | output10 ↔ output7 1.000 | output10 ↔ output8 0.943 | output10 ↔ output9 1.000 | output10 ↔ output10 1.000 | output10 ↔ output11 1.000 | output10 ↔ output12 1.000 | output10 ↔ output13 0.943 | output10 ↔ output14 1.000 | output10 ↔ output15 0.943 | output10 ↔ output16 1.000 | output10 ↔ output17 0.943 | output10 ↔ output18 1.000 | output10 ↔ output19 1.000 | output10 ↔ output20 1.000 | output10 ↔ output21 1.000 | output10 ↔ output22 0.943 | output10 ↔ output23 1.000 | output10 ↔ output24 1.000 | output10 ↔ output25 0.943 | output10 ↔ output26 1.000 | output10 ↔ output27 1.000 | output10 ↔ output28 1.000 | output10 ↔ output29 1.000 | output10 ↔ output30 0.943 |
| output11 | output11 ↔ output1 0.920 | output11 ↔ output2 0.972 | output11 ↔ output3 0.785 | output11 ↔ output4 1.000 | output11 ↔ output5 1.000 | output11 ↔ output6 0.944 | output11 ↔ output7 1.000 | output11 ↔ output8 0.943 | output11 ↔ output9 1.000 | output11 ↔ output10 1.000 | output11 ↔ output11 1.000 | output11 ↔ output12 1.000 | output11 ↔ output13 0.943 | output11 ↔ output14 1.000 | output11 ↔ output15 0.943 | output11 ↔ output16 1.000 | output11 ↔ output17 0.943 | output11 ↔ output18 1.000 | output11 ↔ output19 1.000 | output11 ↔ output20 1.000 | output11 ↔ output21 1.000 | output11 ↔ output22 0.943 | output11 ↔ output23 1.000 | output11 ↔ output24 1.000 | output11 ↔ output25 0.943 | output11 ↔ output26 1.000 | output11 ↔ output27 1.000 | output11 ↔ output28 1.000 | output11 ↔ output29 1.000 | output11 ↔ output30 0.943 |
| output12 | output12 ↔ output1 0.920 | output12 ↔ output2 0.972 | output12 ↔ output3 0.785 | output12 ↔ output4 1.000 | output12 ↔ output5 1.000 | output12 ↔ output6 0.944 | output12 ↔ output7 1.000 | output12 ↔ output8 0.943 | output12 ↔ output9 1.000 | output12 ↔ output10 1.000 | output12 ↔ output11 1.000 | output12 ↔ output12 1.000 | output12 ↔ output13 0.943 | output12 ↔ output14 1.000 | output12 ↔ output15 0.943 | output12 ↔ output16 1.000 | output12 ↔ output17 0.943 | output12 ↔ output18 1.000 | output12 ↔ output19 1.000 | output12 ↔ output20 1.000 | output12 ↔ output21 1.000 | output12 ↔ output22 0.943 | output12 ↔ output23 1.000 | output12 ↔ output24 1.000 | output12 ↔ output25 0.943 | output12 ↔ output26 1.000 | output12 ↔ output27 1.000 | output12 ↔ output28 1.000 | output12 ↔ output29 1.000 | output12 ↔ output30 0.943 |
| output13 | output13 ↔ output1 0.863 | output13 ↔ output2 0.971 | output13 ↔ output3 0.841 | output13 ↔ output4 0.943 | output13 ↔ output5 0.943 | output13 ↔ output6 0.943 | output13 ↔ output7 0.943 | output13 ↔ output8 1.000 | output13 ↔ output9 0.943 | output13 ↔ output10 0.943 | output13 ↔ output11 0.943 | output13 ↔ output12 0.943 | output13 ↔ output13 1.000 | output13 ↔ output14 0.943 | output13 ↔ output15 1.000 | output13 ↔ output16 0.943 | output13 ↔ output17 1.000 | output13 ↔ output18 0.943 | output13 ↔ output19 0.943 | output13 ↔ output20 0.943 | output13 ↔ output21 0.943 | output13 ↔ output22 1.000 | output13 ↔ output23 0.943 | output13 ↔ output24 0.943 | output13 ↔ output25 1.000 | output13 ↔ output26 0.943 | output13 ↔ output27 0.943 | output13 ↔ output28 0.943 | output13 ↔ output29 0.943 | output13 ↔ output30 1.000 |
| output14 | output14 ↔ output1 0.920 | output14 ↔ output2 0.972 | output14 ↔ output3 0.785 | output14 ↔ output4 1.000 | output14 ↔ output5 1.000 | output14 ↔ output6 0.944 | output14 ↔ output7 1.000 | output14 ↔ output8 0.943 | output14 ↔ output9 1.000 | output14 ↔ output10 1.000 | output14 ↔ output11 1.000 | output14 ↔ output12 1.000 | output14 ↔ output13 0.943 | output14 ↔ output14 1.000 | output14 ↔ output15 0.943 | output14 ↔ output16 1.000 | output14 ↔ output17 0.943 | output14 ↔ output18 1.000 | output14 ↔ output19 1.000 | output14 ↔ output20 1.000 | output14 ↔ output21 1.000 | output14 ↔ output22 0.943 | output14 ↔ output23 1.000 | output14 ↔ output24 1.000 | output14 ↔ output25 0.943 | output14 ↔ output26 1.000 | output14 ↔ output27 1.000 | output14 ↔ output28 1.000 | output14 ↔ output29 1.000 | output14 ↔ output30 0.943 |
| output15 | output15 ↔ output1 0.863 | output15 ↔ output2 0.971 | output15 ↔ output3 0.841 | output15 ↔ output4 0.943 | output15 ↔ output5 0.943 | output15 ↔ output6 0.943 | output15 ↔ output7 0.943 | output15 ↔ output8 1.000 | output15 ↔ output9 0.943 | output15 ↔ output10 0.943 | output15 ↔ output11 0.943 | output15 ↔ output12 0.943 | output15 ↔ output13 1.000 | output15 ↔ output14 0.943 | output15 ↔ output15 1.000 | output15 ↔ output16 0.943 | output15 ↔ output17 1.000 | output15 ↔ output18 0.943 | output15 ↔ output19 0.943 | output15 ↔ output20 0.943 | output15 ↔ output21 0.943 | output15 ↔ output22 1.000 | output15 ↔ output23 0.943 | output15 ↔ output24 0.943 | output15 ↔ output25 1.000 | output15 ↔ output26 0.943 | output15 ↔ output27 0.943 | output15 ↔ output28 0.943 | output15 ↔ output29 0.943 | output15 ↔ output30 1.000 |
| output16 | output16 ↔ output1 0.920 | output16 ↔ output2 0.972 | output16 ↔ output3 0.785 | output16 ↔ output4 1.000 | output16 ↔ output5 1.000 | output16 ↔ output6 0.944 | output16 ↔ output7 1.000 | output16 ↔ output8 0.943 | output16 ↔ output9 1.000 | output16 ↔ output10 1.000 | output16 ↔ output11 1.000 | output16 ↔ output12 1.000 | output16 ↔ output13 0.943 | output16 ↔ output14 1.000 | output16 ↔ output15 0.943 | output16 ↔ output16 1.000 | output16 ↔ output17 0.943 | output16 ↔ output18 1.000 | output16 ↔ output19 1.000 | output16 ↔ output20 1.000 | output16 ↔ output21 1.000 | output16 ↔ output22 0.943 | output16 ↔ output23 1.000 | output16 ↔ output24 1.000 | output16 ↔ output25 0.943 | output16 ↔ output26 1.000 | output16 ↔ output27 1.000 | output16 ↔ output28 1.000 | output16 ↔ output29 1.000 | output16 ↔ output30 0.943 |
| output17 | output17 ↔ output1 0.863 | output17 ↔ output2 0.971 | output17 ↔ output3 0.841 | output17 ↔ output4 0.943 | output17 ↔ output5 0.943 | output17 ↔ output6 0.943 | output17 ↔ output7 0.943 | output17 ↔ output8 1.000 | output17 ↔ output9 0.943 | output17 ↔ output10 0.943 | output17 ↔ output11 0.943 | output17 ↔ output12 0.943 | output17 ↔ output13 1.000 | output17 ↔ output14 0.943 | output17 ↔ output15 1.000 | output17 ↔ output16 0.943 | output17 ↔ output17 1.000 | output17 ↔ output18 0.943 | output17 ↔ output19 0.943 | output17 ↔ output20 0.943 | output17 ↔ output21 0.943 | output17 ↔ output22 1.000 | output17 ↔ output23 0.943 | output17 ↔ output24 0.943 | output17 ↔ output25 1.000 | output17 ↔ output26 0.943 | output17 ↔ output27 0.943 | output17 ↔ output28 0.943 | output17 ↔ output29 0.943 | output17 ↔ output30 1.000 |
| output18 | output18 ↔ output1 0.920 | output18 ↔ output2 0.972 | output18 ↔ output3 0.785 | output18 ↔ output4 1.000 | output18 ↔ output5 1.000 | output18 ↔ output6 0.944 | output18 ↔ output7 1.000 | output18 ↔ output8 0.943 | output18 ↔ output9 1.000 | output18 ↔ output10 1.000 | output18 ↔ output11 1.000 | output18 ↔ output12 1.000 | output18 ↔ output13 0.943 | output18 ↔ output14 1.000 | output18 ↔ output15 0.943 | output18 ↔ output16 1.000 | output18 ↔ output17 0.943 | output18 ↔ output18 1.000 | output18 ↔ output19 1.000 | output18 ↔ output20 1.000 | output18 ↔ output21 1.000 | output18 ↔ output22 0.943 | output18 ↔ output23 1.000 | output18 ↔ output24 1.000 | output18 ↔ output25 0.943 | output18 ↔ output26 1.000 | output18 ↔ output27 1.000 | output18 ↔ output28 1.000 | output18 ↔ output29 1.000 | output18 ↔ output30 0.943 |
| output19 | output19 ↔ output1 0.920 | output19 ↔ output2 0.972 | output19 ↔ output3 0.785 | output19 ↔ output4 1.000 | output19 ↔ output5 1.000 | output19 ↔ output6 0.944 | output19 ↔ output7 1.000 | output19 ↔ output8 0.943 | output19 ↔ output9 1.000 | output19 ↔ output10 1.000 | output19 ↔ output11 1.000 | output19 ↔ output12 1.000 | output19 ↔ output13 0.943 | output19 ↔ output14 1.000 | output19 ↔ output15 0.943 | output19 ↔ output16 1.000 | output19 ↔ output17 0.943 | output19 ↔ output18 1.000 | output19 ↔ output19 1.000 | output19 ↔ output20 1.000 | output19 ↔ output21 1.000 | output19 ↔ output22 0.943 | output19 ↔ output23 1.000 | output19 ↔ output24 1.000 | output19 ↔ output25 0.943 | output19 ↔ output26 1.000 | output19 ↔ output27 1.000 | output19 ↔ output28 1.000 | output19 ↔ output29 1.000 | output19 ↔ output30 0.943 |
| output20 | output20 ↔ output1 0.920 | output20 ↔ output2 0.972 | output20 ↔ output3 0.785 | output20 ↔ output4 1.000 | output20 ↔ output5 1.000 | output20 ↔ output6 0.944 | output20 ↔ output7 1.000 | output20 ↔ output8 0.943 | output20 ↔ output9 1.000 | output20 ↔ output10 1.000 | output20 ↔ output11 1.000 | output20 ↔ output12 1.000 | output20 ↔ output13 0.943 | output20 ↔ output14 1.000 | output20 ↔ output15 0.943 | output20 ↔ output16 1.000 | output20 ↔ output17 0.943 | output20 ↔ output18 1.000 | output20 ↔ output19 1.000 | output20 ↔ output20 1.000 | output20 ↔ output21 1.000 | output20 ↔ output22 0.943 | output20 ↔ output23 1.000 | output20 ↔ output24 1.000 | output20 ↔ output25 0.943 | output20 ↔ output26 1.000 | output20 ↔ output27 1.000 | output20 ↔ output28 1.000 | output20 ↔ output29 1.000 | output20 ↔ output30 0.943 |
| output21 | output21 ↔ output1 0.920 | output21 ↔ output2 0.972 | output21 ↔ output3 0.785 | output21 ↔ output4 1.000 | output21 ↔ output5 1.000 | output21 ↔ output6 0.944 | output21 ↔ output7 1.000 | output21 ↔ output8 0.943 | output21 ↔ output9 1.000 | output21 ↔ output10 1.000 | output21 ↔ output11 1.000 | output21 ↔ output12 1.000 | output21 ↔ output13 0.943 | output21 ↔ output14 1.000 | output21 ↔ output15 0.943 | output21 ↔ output16 1.000 | output21 ↔ output17 0.943 | output21 ↔ output18 1.000 | output21 ↔ output19 1.000 | output21 ↔ output20 1.000 | output21 ↔ output21 1.000 | output21 ↔ output22 0.943 | output21 ↔ output23 1.000 | output21 ↔ output24 1.000 | output21 ↔ output25 0.943 | output21 ↔ output26 1.000 | output21 ↔ output27 1.000 | output21 ↔ output28 1.000 | output21 ↔ output29 1.000 | output21 ↔ output30 0.943 |
| output22 | output22 ↔ output1 0.863 | output22 ↔ output2 0.971 | output22 ↔ output3 0.841 | output22 ↔ output4 0.943 | output22 ↔ output5 0.943 | output22 ↔ output6 0.943 | output22 ↔ output7 0.943 | output22 ↔ output8 1.000 | output22 ↔ output9 0.943 | output22 ↔ output10 0.943 | output22 ↔ output11 0.943 | output22 ↔ output12 0.943 | output22 ↔ output13 1.000 | output22 ↔ output14 0.943 | output22 ↔ output15 1.000 | output22 ↔ output16 0.943 | output22 ↔ output17 1.000 | output22 ↔ output18 0.943 | output22 ↔ output19 0.943 | output22 ↔ output20 0.943 | output22 ↔ output21 0.943 | output22 ↔ output22 1.000 | output22 ↔ output23 0.943 | output22 ↔ output24 0.943 | output22 ↔ output25 1.000 | output22 ↔ output26 0.943 | output22 ↔ output27 0.943 | output22 ↔ output28 0.943 | output22 ↔ output29 0.943 | output22 ↔ output30 1.000 |
| output23 | output23 ↔ output1 0.920 | output23 ↔ output2 0.972 | output23 ↔ output3 0.785 | output23 ↔ output4 1.000 | output23 ↔ output5 1.000 | output23 ↔ output6 0.944 | output23 ↔ output7 1.000 | output23 ↔ output8 0.943 | output23 ↔ output9 1.000 | output23 ↔ output10 1.000 | output23 ↔ output11 1.000 | output23 ↔ output12 1.000 | output23 ↔ output13 0.943 | output23 ↔ output14 1.000 | output23 ↔ output15 0.943 | output23 ↔ output16 1.000 | output23 ↔ output17 0.943 | output23 ↔ output18 1.000 | output23 ↔ output19 1.000 | output23 ↔ output20 1.000 | output23 ↔ output21 1.000 | output23 ↔ output22 0.943 | output23 ↔ output23 1.000 | output23 ↔ output24 1.000 | output23 ↔ output25 0.943 | output23 ↔ output26 1.000 | output23 ↔ output27 1.000 | output23 ↔ output28 1.000 | output23 ↔ output29 1.000 | output23 ↔ output30 0.943 |
| output24 | output24 ↔ output1 0.920 | output24 ↔ output2 0.972 | output24 ↔ output3 0.785 | output24 ↔ output4 1.000 | output24 ↔ output5 1.000 | output24 ↔ output6 0.944 | output24 ↔ output7 1.000 | output24 ↔ output8 0.943 | output24 ↔ output9 1.000 | output24 ↔ output10 1.000 | output24 ↔ output11 1.000 | output24 ↔ output12 1.000 | output24 ↔ output13 0.943 | output24 ↔ output14 1.000 | output24 ↔ output15 0.943 | output24 ↔ output16 1.000 | output24 ↔ output17 0.943 | output24 ↔ output18 1.000 | output24 ↔ output19 1.000 | output24 ↔ output20 1.000 | output24 ↔ output21 1.000 | output24 ↔ output22 0.943 | output24 ↔ output23 1.000 | output24 ↔ output24 1.000 | output24 ↔ output25 0.943 | output24 ↔ output26 1.000 | output24 ↔ output27 1.000 | output24 ↔ output28 1.000 | output24 ↔ output29 1.000 | output24 ↔ output30 0.943 |
| output25 | output25 ↔ output1 0.863 | output25 ↔ output2 0.971 | output25 ↔ output3 0.841 | output25 ↔ output4 0.943 | output25 ↔ output5 0.943 | output25 ↔ output6 0.943 | output25 ↔ output7 0.943 | output25 ↔ output8 1.000 | output25 ↔ output9 0.943 | output25 ↔ output10 0.943 | output25 ↔ output11 0.943 | output25 ↔ output12 0.943 | output25 ↔ output13 1.000 | output25 ↔ output14 0.943 | output25 ↔ output15 1.000 | output25 ↔ output16 0.943 | output25 ↔ output17 1.000 | output25 ↔ output18 0.943 | output25 ↔ output19 0.943 | output25 ↔ output20 0.943 | output25 ↔ output21 0.943 | output25 ↔ output22 1.000 | output25 ↔ output23 0.943 | output25 ↔ output24 0.943 | output25 ↔ output25 1.000 | output25 ↔ output26 0.943 | output25 ↔ output27 0.943 | output25 ↔ output28 0.943 | output25 ↔ output29 0.943 | output25 ↔ output30 1.000 |
| output26 | output26 ↔ output1 0.920 | output26 ↔ output2 0.972 | output26 ↔ output3 0.785 | output26 ↔ output4 1.000 | output26 ↔ output5 1.000 | output26 ↔ output6 0.944 | output26 ↔ output7 1.000 | output26 ↔ output8 0.943 | output26 ↔ output9 1.000 | output26 ↔ output10 1.000 | output26 ↔ output11 1.000 | output26 ↔ output12 1.000 | output26 ↔ output13 0.943 | output26 ↔ output14 1.000 | output26 ↔ output15 0.943 | output26 ↔ output16 1.000 | output26 ↔ output17 0.943 | output26 ↔ output18 1.000 | output26 ↔ output19 1.000 | output26 ↔ output20 1.000 | output26 ↔ output21 1.000 | output26 ↔ output22 0.943 | output26 ↔ output23 1.000 | output26 ↔ output24 1.000 | output26 ↔ output25 0.943 | output26 ↔ output26 1.000 | output26 ↔ output27 1.000 | output26 ↔ output28 1.000 | output26 ↔ output29 1.000 | output26 ↔ output30 0.943 |
| output27 | output27 ↔ output1 0.920 | output27 ↔ output2 0.972 | output27 ↔ output3 0.785 | output27 ↔ output4 1.000 | output27 ↔ output5 1.000 | output27 ↔ output6 0.944 | output27 ↔ output7 1.000 | output27 ↔ output8 0.943 | output27 ↔ output9 1.000 | output27 ↔ output10 1.000 | output27 ↔ output11 1.000 | output27 ↔ output12 1.000 | output27 ↔ output13 0.943 | output27 ↔ output14 1.000 | output27 ↔ output15 0.943 | output27 ↔ output16 1.000 | output27 ↔ output17 0.943 | output27 ↔ output18 1.000 | output27 ↔ output19 1.000 | output27 ↔ output20 1.000 | output27 ↔ output21 1.000 | output27 ↔ output22 0.943 | output27 ↔ output23 1.000 | output27 ↔ output24 1.000 | output27 ↔ output25 0.943 | output27 ↔ output26 1.000 | output27 ↔ output27 1.000 | output27 ↔ output28 1.000 | output27 ↔ output29 1.000 | output27 ↔ output30 0.943 |
| output28 | output28 ↔ output1 0.920 | output28 ↔ output2 0.972 | output28 ↔ output3 0.785 | output28 ↔ output4 1.000 | output28 ↔ output5 1.000 | output28 ↔ output6 0.944 | output28 ↔ output7 1.000 | output28 ↔ output8 0.943 | output28 ↔ output9 1.000 | output28 ↔ output10 1.000 | output28 ↔ output11 1.000 | output28 ↔ output12 1.000 | output28 ↔ output13 0.943 | output28 ↔ output14 1.000 | output28 ↔ output15 0.943 | output28 ↔ output16 1.000 | output28 ↔ output17 0.943 | output28 ↔ output18 1.000 | output28 ↔ output19 1.000 | output28 ↔ output20 1.000 | output28 ↔ output21 1.000 | output28 ↔ output22 0.943 | output28 ↔ output23 1.000 | output28 ↔ output24 1.000 | output28 ↔ output25 0.943 | output28 ↔ output26 1.000 | output28 ↔ output27 1.000 | output28 ↔ output28 1.000 | output28 ↔ output29 1.000 | output28 ↔ output30 0.943 |
| output29 | output29 ↔ output1 0.920 | output29 ↔ output2 0.972 | output29 ↔ output3 0.785 | output29 ↔ output4 1.000 | output29 ↔ output5 1.000 | output29 ↔ output6 0.944 | output29 ↔ output7 1.000 | output29 ↔ output8 0.943 | output29 ↔ output9 1.000 | output29 ↔ output10 1.000 | output29 ↔ output11 1.000 | output29 ↔ output12 1.000 | output29 ↔ output13 0.943 | output29 ↔ output14 1.000 | output29 ↔ output15 0.943 | output29 ↔ output16 1.000 | output29 ↔ output17 0.943 | output29 ↔ output18 1.000 | output29 ↔ output19 1.000 | output29 ↔ output20 1.000 | output29 ↔ output21 1.000 | output29 ↔ output22 0.943 | output29 ↔ output23 1.000 | output29 ↔ output24 1.000 | output29 ↔ output25 0.943 | output29 ↔ output26 1.000 | output29 ↔ output27 1.000 | output29 ↔ output28 1.000 | output29 ↔ output29 1.000 | output29 ↔ output30 0.943 |
| output30 | output30 ↔ output1 0.863 | output30 ↔ output2 0.971 | output30 ↔ output3 0.841 | output30 ↔ output4 0.943 | output30 ↔ output5 0.943 | output30 ↔ output6 0.943 | output30 ↔ output7 0.943 | output30 ↔ output8 1.000 | output30 ↔ output9 0.943 | output30 ↔ output10 0.943 | output30 ↔ output11 0.943 | output30 ↔ output12 0.943 | output30 ↔ output13 1.000 | output30 ↔ output14 0.943 | output30 ↔ output15 1.000 | output30 ↔ output16 0.943 | output30 ↔ output17 1.000 | output30 ↔ output18 0.943 | output30 ↔ output19 0.943 | output30 ↔ output20 0.943 | output30 ↔ output21 0.943 | output30 ↔ output22 1.000 | output30 ↔ output23 0.943 | output30 ↔ output24 0.943 | output30 ↔ output25 1.000 | output30 ↔ output26 0.943 | output30 ↔ output27 0.943 | output30 ↔ output28 0.943 | output30 ↔ output29 0.943 | output30 ↔ output30 1.000 |
Individual.seating
Evenness (active groups) =
0.7973
Evenness (all groups) = 0.7973
Banquet.paymentMethod
Evenness (active groups) =
0.9294
Evenness (all groups) = 0.9294
MenuItem.classification
Evenness (active groups) =
0.8496
Evenness (all groups) = 0.6733
FoodItem.unit
Evenness (active groups) =
0.6057
Evenness (all groups) = 0.5218
Allergen.type
Evenness (active groups) =
0.9451
Evenness (all groups) = 0.9451
RegularCustomer.prefferedLanguage
Evenness (active groups) =
0.9871
Evenness (all groups) = 0.9871
Restaurant - Simple Metrics
Stats
Stats Breakdown of the total cost and elapsed time for generating the instances. - Elapsed Time = Console Time (ie. Processing Time + API Calls)
- Cost = (input tokens * input price) + (output tokens * output price)
Stats
Breakdown of the total cost and elapsed time for generating the instances.
- Elapsed Time = Console Time (ie. Processing Time + API Calls)
- Cost = (input tokens * input price) + (output tokens * output price)
| Total Cost | $4.63 |
Validation
Validation Measures the correctness of the instantiation using the USE check function. - Syntax = 1 - (Total Number of syntax errors [use check] / Total Number of lines [instance])
- Multiplicities = 1 - (Total Number of multiplicities errors [use check] / Total Number of relationships ([instance] !insert))
- Invariants = 1 - (Total Number of invariants errors [use check] / Total Number of invariants ([model] constraints))
Validation
Measures the correctness of the instantiation using the USE check function.
- Syntax = 1 - (Total Number of syntax errors [use check] / Total Number of lines [instance])
- Multiplicities = 1 - (Total Number of multiplicities errors [use check] / Total Number of relationships ([instance] !insert))
- Invariants = 1 - (Total Number of invariants errors [use check] / Total Number of invariants ([model] constraints))
| Syntax | 100.0% |
| Multiplicities | 100.0% |
| Invariants | 98.3% |
Diversity
Diversity Measures the variability of the generated instances. Attributes (NumericEquals, StringEquals, StringLv): It identifies how much the LLM repeats specific values versus generating unique data points across instances (100%: Diverse, 0%: Repetitive). We group all generated attributes into bags (numeric and string) and then perform pairwise comparisons between every element to obtain. Structure (GED): Measures the Graph Edit Distance (GED) similarity between instances. Distribution (Shannon): Measures the entropy and evenness (balanced distribution) of the generated enum values. - NumericEquals = Total number of numeric attribute pairs with different values / Total number of possible pairs (n * (n - 1) / 2)
- StringEquals = Total number of string attribute pairs that are NOT exactly identical / Total number of possible pairs (n * (n - 1) / 2)
- StringLv = Sum of (Levenshtein Distance(a, b) / max(length(a), length(b))) for all string pairs / Total number of possible pairs (n * (n - 1) / 2)
- GED = Similarity = 1 - (GED / (0.5 * (GED_to_empty_A + GED_to_empty_B))). 1 = red = identical graphs, <=0.5 = green = different graphs. We consider as edit operations: Nodes, Edges, Node_Labels and Edge_Labels [https://github.com/a-coman/ged]
- Shannon (Active) = Entropy / log2(Number of unique groups actually generated). Measures how evenly the generated values are distributed, considering only the categories the LLM actually used.
- Shannon (All) = Entropy / log2(Total number of valid groups defined in the model). Measures how evenly the generated values are distributed against the full spectrum of all possible valid options defined in the .use file.
Diversity
Measures the variability of the generated instances. Attributes (NumericEquals, StringEquals, StringLv): It identifies how much the LLM repeats specific values versus generating unique data points across instances (100%: Diverse, 0%: Repetitive). We group all generated attributes into bags (numeric and string) and then perform pairwise comparisons between every element to obtain. Structure (GED): Measures the Graph Edit Distance (GED) similarity between instances. Distribution (Shannon): Measures the entropy and evenness (balanced distribution) of the generated enum values.
- NumericEquals = Total number of numeric attribute pairs with different values / Total number of possible pairs (n * (n - 1) / 2)
- StringEquals = Total number of string attribute pairs that are NOT exactly identical / Total number of possible pairs (n * (n - 1) / 2)
- StringLv = Sum of (Levenshtein Distance(a, b) / max(length(a), length(b))) for all string pairs / Total number of possible pairs (n * (n - 1) / 2)
- GED = Similarity = 1 - (GED / (0.5 * (GED_to_empty_A + GED_to_empty_B))). 1 = red = identical graphs, <=0.5 = green = different graphs. We consider as edit operations: Nodes, Edges, Node_Labels and Edge_Labels [https://github.com/a-coman/ged]
- Shannon (Active) = Entropy / log2(Number of unique groups actually generated). Measures how evenly the generated values are distributed, considering only the categories the LLM actually used.
- Shannon (All) = Entropy / log2(Total number of valid groups defined in the model). Measures how evenly the generated values are distributed against the full spectrum of all possible valid options defined in the .use file.
| Numeric | 97.8% |
| String Equals | 99.8% |
| String LV | 87.3% |
| GED | 0.958 ± 0.054 |
| Shannon (Active) | 0.852 ± 0.127 |
| Shannon (All) | 0.809 ± 0.166 |
Coverage
Model Coverage Measures the breadth of the instantiation. It answers: "How much of the structural blueprint (the model) was used?" - Classes = Total Unique Classes instantiated (!new) in the .soil / Total Number of classes (class) in the model .use
- Attributes = Total Unique Attributes instantiated (!Class.Attribute or !set) in the .soil / Total Number of attributes (attributes) in the model .use
- Relationships = Total Unique Relationships instantiated (!insert) in the .soil / Total Number of relationships (association, composition, aggregation) in the model .use
Model Coverage
Measures the breadth of the instantiation. It answers: "How much of the structural blueprint (the model) was used?"
- Classes = Total Unique Classes instantiated (!new) in the .soil / Total Number of classes (class) in the model .use
- Attributes = Total Unique Attributes instantiated (!Class.Attribute or !set) in the .soil / Total Number of attributes (attributes) in the model .use
- Relationships = Total Unique Relationships instantiated (!insert) in the .soil / Total Number of relationships (association, composition, aggregation) in the model .use
| Classes | 77.0% |
| Attributes | 86.6% |
| Relationships | 97.4% |
Uncovered Items 36
Classes 7
BanquetBusDriverDietaryRequirementIndividualManagerPersonReportedAllergy
Attributes 27
Banquet.busServiceBanquet.dateBanquet.groupNameBanquet.nameBanquet.numberBanquet.numberPeopleBanquet.paymentMethodBanquet.phoneNumber
Show all 27 attributes
Banquet.busServiceBanquet.dateBanquet.groupNameBanquet.nameBanquet.numberBanquet.numberPeopleBanquet.paymentMethodBanquet.phoneNumberBanquet.timeBusDriver.dateOfBirthBusDriver.driverLicenseNrBusDriver.nameBusDriver.phoneNumberDietaryRequirement.dietIndividual.dateIndividual.nameIndividual.numberIndividual.numberPeopleIndividual.phoneNumberIndividual.seatingIndividual.smokingIndividual.timeManager.dateOfBirthManager.nameManager.phoneNumberPerson.nameReportedAllergy.allergen
Relationships 2
BanquetBusDriverReservationCustomer
Instantiation
Instance Instantiation Measures the depth or density of the data. It answers: "Of the objects the LLM decided to create, how many of their available 'slots' did it fill?" - Classes = Total Number of classes (!new) in the instance / Total possible that could have been instantiated (infinity)
- Attributes = Total Number of attributes (!Class.Attribute or !set) in the instance / Total possible that could have been instantiated (sum(number of classes instantiated of that type * Class.Attributes))
- Relationships = Total Number of relationships (!insert) in the instance / Total possible that could have been instantiated (infinity)
Instance Instantiation
Measures the depth or density of the data. It answers: "Of the objects the LLM decided to create, how many of their available 'slots' did it fill?"
- Classes = Total Number of classes (!new) in the instance / Total possible that could have been instantiated (infinity)
- Attributes = Total Number of attributes (!Class.Attribute or !set) in the instance / Total possible that could have been instantiated (sum(number of classes instantiated of that type * Class.Attributes))
- Relationships = Total Number of relationships (!insert) in the instance / Total possible that could have been instantiated (infinity)
| Classes | 532/∞ |
| Attributes | 1756/1756 |
| Relationships | 529/∞ |
Quality
Quality Measures the realism of the generated instances. It identifies how much the LLM respects real-world logic. Using Gemini 3.1 Pro as an LLM as a Judge we ask it to rate (realistic, unrealistic, doubtful) the realism of each instance and explain its decision. - Realism = Total Number of "realistic" instances / Total Number of instances
- Judge Cost = (input tokens * input price) + (output tokens * output price)
Quality
Measures the realism of the generated instances. It identifies how much the LLM respects real-world logic. Using Gemini 3.1 Pro as an LLM as a Judge we ask it to rate (realistic, unrealistic, doubtful) the realism of each instance and explain its decision.
- Realism = Total Number of "realistic" instances / Total Number of instances
- Judge Cost = (input tokens * input price) + (output tokens * output price)
| Realism | 63.3% |
| Judge Cost | $0.92 |
Generations
| Name | Syntax | Mult | Inv | Num.Eq | Str.Eq | Str.LV | Cov.Cls | Cov.Attr | Cov.Rel | Inst.Cls | Inst.Attr | Inst.Rel | Realism |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| gen1 | 100.0% | 100.0% | 100.0% | 95.2% | 99.4% | 87.2% | 78.9% | 89.7% | 100.0% | 19/∞ | 64/64 | 20/∞ | Unrealistic |
| gen2 | 100.0% | 100.0% | 100.0% | 98.5% | 100.0% | 87.6% | 73.7% | 75.9% | 92.3% | 19/∞ | 57/57 | 16/∞ | Realistic |
| gen3 | 100.0% | 100.0% | 100.0% | 96.4% | 99.4% | 88.5% | 68.4% | 67.2% | 92.3% | 15/∞ | 44/44 | 14/∞ | Unrealistic |
| gen4 | 100.0% | 100.0% | 100.0% | 98.1% | 99.7% | 89.3% | 78.9% | 89.7% | 100.0% | 18/∞ | 60/60 | 18/∞ | Unrealistic |
| gen5 | 100.0% | 100.0% | 100.0% | 98.1% | 99.7% | 88.3% | 78.9% | 89.7% | 100.0% | 18/∞ | 60/60 | 18/∞ | Realistic |
| gen6 | 100.0% | 100.0% | 100.0% | 97.1% | 99.6% | 88.7% | 73.7% | 82.8% | 92.3% | 18/∞ | 59/59 | 18/∞ | Unrealistic |
| gen7 | 100.0% | 100.0% | 100.0% | 97.1% | 99.7% | 88.3% | 78.9% | 89.7% | 100.0% | 18/∞ | 60/60 | 18/∞ | Realistic |
| gen8 | 100.0% | 100.0% | 100.0% | 99.1% | 99.6% | 86.9% | 73.7% | 82.8% | 92.3% | 17/∞ | 56/56 | 17/∞ | Realistic |
| gen9 | 100.0% | 100.0% | 100.0% | 98.1% | 99.7% | 88.9% | 78.9% | 89.7% | 100.0% | 18/∞ | 60/60 | 18/∞ | Unrealistic |
| gen10 | 100.0% | 100.0% | 100.0% | 99.1% | 99.7% | 87.9% | 78.9% | 89.7% | 100.0% | 18/∞ | 60/60 | 18/∞ | Unrealistic |
| gen11 | 100.0% | 100.0% | 100.0% | 97.1% | 99.7% | 87.9% | 78.9% | 89.7% | 100.0% | 18/∞ | 60/60 | 18/∞ | Unrealistic |
| gen12 | 100.0% | 100.0% | 100.0% | 100.0% | 99.7% | 88.1% | 78.9% | 89.7% | 100.0% | 18/∞ | 60/60 | 18/∞ | Realistic |
| gen13 | 100.0% | 100.0% | 100.0% | 100.0% | 99.6% | 88.1% | 73.7% | 82.8% | 92.3% | 17/∞ | 56/56 | 17/∞ | Realistic |
| gen14 | 100.0% | 100.0% | 100.0% | 99.1% | 99.7% | 88.2% | 78.9% | 89.7% | 100.0% | 18/∞ | 60/60 | 18/∞ | Realistic |
| gen15 | 100.0% | 100.0% | 75.0% | 100.0% | 99.6% | 86.9% | 73.7% | 82.8% | 92.3% | 17/∞ | 56/56 | 17/∞ | Unrealistic |
| gen16 | 100.0% | 100.0% | 100.0% | 100.0% | 99.7% | 88.5% | 78.9% | 89.7% | 100.0% | 18/∞ | 60/60 | 18/∞ | Realistic |
| gen17 | 100.0% | 100.0% | 100.0% | 99.1% | 99.6% | 86.3% | 73.7% | 82.8% | 92.3% | 17/∞ | 56/56 | 17/∞ | Realistic |
| gen18 | 100.0% | 100.0% | 100.0% | 99.1% | 99.7% | 88.8% | 78.9% | 89.7% | 100.0% | 18/∞ | 60/60 | 18/∞ | Realistic |
| gen19 | 100.0% | 100.0% | 100.0% | 100.0% | 99.7% | 88.7% | 78.9% | 89.7% | 100.0% | 18/∞ | 60/60 | 18/∞ | Realistic |
| gen20 | 100.0% | 100.0% | 100.0% | 99.1% | 99.7% | 89.3% | 78.9% | 89.7% | 100.0% | 18/∞ | 60/60 | 18/∞ | Unrealistic |
| gen21 | 100.0% | 100.0% | 100.0% | 99.1% | 99.7% | 88.2% | 78.9% | 89.7% | 100.0% | 18/∞ | 60/60 | 18/∞ | Realistic |
| gen22 | 100.0% | 100.0% | 100.0% | 99.1% | 99.6% | 87.8% | 73.7% | 82.8% | 92.3% | 17/∞ | 56/56 | 17/∞ | Realistic |
| gen23 | 100.0% | 100.0% | 75.0% | 99.1% | 99.7% | 88.6% | 78.9% | 89.7% | 100.0% | 18/∞ | 60/60 | 18/∞ | Unrealistic |
| gen24 | 100.0% | 100.0% | 100.0% | 99.1% | 99.3% | 88.2% | 78.9% | 89.7% | 100.0% | 18/∞ | 60/60 | 18/∞ | Realistic |
| gen25 | 100.0% | 100.0% | 100.0% | 100.0% | 99.6% | 87.0% | 73.7% | 82.8% | 92.3% | 17/∞ | 56/56 | 17/∞ | Realistic |
| gen26 | 100.0% | 100.0% | 100.0% | 99.1% | 99.7% | 87.8% | 78.9% | 89.7% | 100.0% | 18/∞ | 60/60 | 18/∞ | Realistic |
| gen27 | 100.0% | 100.0% | 100.0% | 98.1% | 99.7% | 87.4% | 78.9% | 89.7% | 100.0% | 18/∞ | 60/60 | 18/∞ | Unrealistic |
| gen28 | 100.0% | 100.0% | 100.0% | 99.1% | 99.7% | 88.1% | 78.9% | 89.7% | 100.0% | 18/∞ | 60/60 | 18/∞ | Realistic |
| gen29 | 100.0% | 100.0% | 100.0% | 98.1% | 99.7% | 88.5% | 78.9% | 89.7% | 100.0% | 18/∞ | 60/60 | 18/∞ | Realistic |
| gen30 | 100.0% | 100.0% | 100.0% | 99.1% | 99.6% | 86.7% | 73.7% | 82.8% | 92.3% | 17/∞ | 56/56 | 17/∞ | Realistic |
GED / Shannon
| baseline1 | invalid2 | boundary3 | complex4 | edge5 | baseline6 | invalid7 | boundary8 | complex9 | edge10 | baseline11 | invalid12 | boundary13 | complex14 | edge15 | baseline16 | invalid17 | boundary18 | complex19 | edge20 | baseline21 | invalid22 | boundary23 | complex24 | edge25 | baseline26 | invalid27 | boundary28 | complex29 | edge30 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| baseline1 | baseline1 ↔ baseline1 1.000 | baseline1 ↔ invalid2 0.030 | baseline1 ↔ boundary3 0.421 | baseline1 ↔ complex4 0.885 | baseline1 ↔ edge5 0.937 | baseline1 ↔ baseline6 0.922 | baseline1 ↔ invalid7 0.118 | baseline1 ↔ boundary8 0.421 | baseline1 ↔ complex9 0.960 | baseline1 ↔ edge10 0.610 | baseline1 ↔ baseline11 0.937 | baseline1 ↔ invalid12 0.239 | baseline1 ↔ boundary13 0.463 | baseline1 ↔ complex14 0.979 | baseline1 ↔ edge15 0.980 | baseline1 ↔ baseline16 1.000 | baseline1 ↔ invalid17 0.118 | baseline1 ↔ boundary18 0.519 | baseline1 ↔ complex19 0.980 | baseline1 ↔ edge20 0.798 | baseline1 ↔ baseline21 0.980 | baseline1 ↔ invalid22 0.200 | baseline1 ↔ boundary23 0.519 | baseline1 ↔ complex24 1.000 | baseline1 ↔ edge25 0.979 | baseline1 ↔ baseline26 1.000 | baseline1 ↔ invalid27 0.421 | baseline1 ↔ boundary28 0.747 | baseline1 ↔ complex29 0.922 | baseline1 ↔ edge30 0.205 |
| invalid2 | invalid2 ↔ baseline1 0.030 | invalid2 ↔ invalid2 1.000 | invalid2 ↔ boundary3 0.545 | invalid2 ↔ complex4 0.000 | invalid2 ↔ edge5 0.000 | invalid2 ↔ baseline6 0.000 | invalid2 ↔ invalid7 0.667 | invalid2 ↔ boundary8 0.364 | invalid2 ↔ complex9 0.000 | invalid2 ↔ edge10 0.360 | invalid2 ↔ baseline11 0.079 | invalid2 ↔ invalid12 0.641 | invalid2 ↔ boundary13 0.360 | invalid2 ↔ complex14 0.046 | invalid2 ↔ edge15 0.000 | invalid2 ↔ baseline16 0.030 | invalid2 ↔ invalid17 0.778 | invalid2 ↔ boundary18 0.447 | invalid2 ↔ complex19 0.015 | invalid2 ↔ edge20 0.193 | invalid2 ↔ baseline21 0.015 | invalid2 ↔ invalid22 0.684 | invalid2 ↔ boundary23 0.277 | invalid2 ↔ complex24 0.030 | invalid2 ↔ edge25 0.000 | invalid2 ↔ baseline26 0.030 | invalid2 ↔ invalid27 0.545 | invalid2 ↔ boundary28 0.236 | invalid2 ↔ complex29 0.000 | invalid2 ↔ edge30 0.333 |
| boundary3 | boundary3 ↔ baseline1 0.421 | boundary3 ↔ invalid2 0.545 | boundary3 ↔ boundary3 1.000 | boundary3 ↔ complex4 0.122 | boundary3 ↔ edge5 0.479 | boundary3 ↔ baseline6 0.350 | boundary3 ↔ invalid7 0.652 | boundary3 ↔ boundary8 0.778 | boundary3 ↔ complex9 0.385 | boundary3 ↔ edge10 0.800 | boundary3 ↔ baseline11 0.479 | boundary3 ↔ invalid12 0.796 | boundary3 ↔ boundary13 0.800 | boundary3 ↔ complex14 0.440 | boundary3 ↔ edge15 0.403 | boundary3 ↔ baseline16 0.421 | boundary3 ↔ invalid17 0.652 | boundary3 ↔ boundary18 0.789 | boundary3 ↔ complex19 0.403 | boundary3 ↔ edge20 0.612 | boundary3 ↔ baseline21 0.403 | boundary3 ↔ invalid22 0.750 | boundary3 ↔ boundary23 0.895 | boundary3 ↔ complex24 0.421 | boundary3 ↔ edge25 0.440 | boundary3 ↔ baseline26 0.421 | boundary3 ↔ invalid27 1.000 | boundary3 ↔ boundary28 0.662 | boundary3 ↔ complex29 0.350 | boundary3 ↔ edge30 0.770 |
| complex4 | complex4 ↔ baseline1 0.885 | complex4 ↔ invalid2 0.000 | complex4 ↔ boundary3 0.122 | complex4 ↔ complex4 1.000 | complex4 ↔ edge5 0.822 | complex4 ↔ baseline6 0.963 | complex4 ↔ invalid7 0.027 | complex4 ↔ boundary8 0.317 | complex4 ↔ complex9 0.925 | complex4 ↔ edge10 0.500 | complex4 ↔ baseline11 0.822 | complex4 ↔ invalid12 0.143 | complex4 ↔ boundary13 0.500 | complex4 ↔ complex14 0.864 | complex4 ↔ edge15 0.905 | complex4 ↔ baseline16 0.885 | complex4 ↔ invalid17 0.000 | complex4 ↔ boundary18 0.412 | complex4 ↔ complex19 0.905 | complex4 ↔ edge20 0.684 | complex4 ↔ baseline21 0.905 | complex4 ↔ invalid22 0.105 | complex4 ↔ boundary23 0.412 | complex4 ↔ complex24 0.885 | complex4 ↔ edge25 0.864 | complex4 ↔ baseline26 0.885 | complex4 ↔ invalid27 0.317 | complex4 ↔ boundary28 0.634 | complex4 ↔ complex29 0.963 | complex4 ↔ edge30 0.528 |
| edge5 | edge5 ↔ baseline1 0.937 | edge5 ↔ invalid2 0.000 | edge5 ↔ boundary3 0.479 | edge5 ↔ complex4 0.822 | edge5 ↔ edge5 1.000 | edge5 ↔ baseline6 0.859 | edge5 ↔ invalid7 0.169 | edge5 ↔ boundary8 0.479 | edge5 ↔ complex9 0.505 | edge5 ↔ edge10 0.646 | edge5 ↔ baseline11 1.000 | edge5 ↔ invalid12 0.206 | edge5 ↔ boundary13 0.671 | edge5 ↔ complex14 0.957 | edge5 ↔ edge15 0.917 | edge5 ↔ baseline16 0.937 | edge5 ↔ invalid17 0.077 | edge5 ↔ boundary18 0.579 | edge5 ↔ complex19 0.479 | edge5 ↔ edge20 0.860 | edge5 ↔ baseline21 0.479 | edge5 ↔ invalid22 0.254 | edge5 ↔ boundary23 0.579 | edge5 ↔ complex24 0.937 | edge5 ↔ edge25 0.957 | edge5 ↔ baseline26 0.937 | edge5 ↔ invalid27 0.479 | edge5 ↔ boundary28 0.810 | edge5 ↔ complex29 0.859 | edge5 ↔ edge30 0.650 |
| baseline6 | baseline6 ↔ baseline1 0.922 | baseline6 ↔ invalid2 0.000 | baseline6 ↔ boundary3 0.350 | baseline6 ↔ complex4 0.963 | baseline6 ↔ edge5 0.859 | baseline6 ↔ baseline6 1.000 | baseline6 ↔ invalid7 0.056 | baseline6 ↔ boundary8 0.350 | baseline6 ↔ complex9 0.962 | baseline6 ↔ edge10 0.535 | baseline6 ↔ baseline11 0.859 | baseline6 ↔ invalid12 0.173 | baseline6 ↔ boundary13 0.535 | baseline6 ↔ complex14 0.901 | baseline6 ↔ edge15 0.942 | baseline6 ↔ baseline16 0.922 | baseline6 ↔ invalid17 0.056 | baseline6 ↔ boundary18 0.446 | baseline6 ↔ complex19 0.942 | baseline6 ↔ edge20 0.720 | baseline6 ↔ baseline21 0.942 | baseline6 ↔ invalid22 0.135 | baseline6 ↔ boundary23 0.446 | baseline6 ↔ complex24 0.922 | baseline6 ↔ edge25 0.901 | baseline6 ↔ baseline26 0.922 | baseline6 ↔ invalid27 0.350 | baseline6 ↔ boundary28 0.670 | baseline6 ↔ complex29 1.000 | baseline6 ↔ edge30 0.563 |
| invalid7 | invalid7 ↔ baseline1 0.118 | invalid7 ↔ invalid2 0.667 | invalid7 ↔ boundary3 0.652 | invalid7 ↔ complex4 0.027 | invalid7 ↔ edge5 0.169 | invalid7 ↔ baseline6 0.056 | invalid7 ↔ invalid7 1.000 | invalid7 ↔ boundary8 0.435 | invalid7 ↔ complex9 0.086 | invalid7 ↔ edge10 0.462 | invalid7 ↔ baseline11 0.169 | invalid7 ↔ invalid12 0.854 | invalid7 ↔ boundary13 0.462 | invalid7 ↔ complex14 0.075 | invalid7 ↔ edge15 0.101 | invalid7 ↔ baseline16 0.118 | invalid7 ↔ invalid17 0.737 | invalid7 ↔ boundary18 0.551 | invalid7 ↔ complex19 0.101 | invalid7 ↔ edge20 0.288 | invalid7 ↔ baseline21 0.101 | invalid7 ↔ invalid22 0.900 | invalid7 ↔ boundary23 0.551 | invalid7 ↔ complex24 0.059 | invalid7 ↔ edge25 0.134 | invalid7 ↔ baseline26 0.118 | invalid7 ↔ invalid27 0.652 | invalid7 ↔ boundary28 0.263 | invalid7 ↔ complex29 0.056 | invalid7 ↔ edge30 0.434 |
| boundary8 | boundary8 ↔ baseline1 0.421 | boundary8 ↔ invalid2 0.364 | boundary8 ↔ boundary3 0.778 | boundary8 ↔ complex4 0.317 | boundary8 ↔ edge5 0.479 | boundary8 ↔ baseline6 0.350 | boundary8 ↔ invalid7 0.435 | boundary8 ↔ boundary8 1.000 | boundary8 ↔ complex9 0.385 | boundary8 ↔ edge10 0.800 | boundary8 ↔ baseline11 0.479 | boundary8 ↔ invalid12 0.796 | boundary8 ↔ boundary13 0.700 | boundary8 ↔ complex14 0.440 | boundary8 ↔ edge15 0.403 | boundary8 ↔ baseline16 0.421 | boundary8 ↔ invalid17 0.652 | boundary8 ↔ boundary18 0.789 | boundary8 ↔ complex19 0.403 | boundary8 ↔ edge20 0.612 | boundary8 ↔ baseline21 0.403 | boundary8 ↔ invalid22 0.750 | boundary8 ↔ boundary23 0.895 | boundary8 ↔ complex24 0.421 | boundary8 ↔ edge25 0.440 | boundary8 ↔ baseline26 0.421 | boundary8 ↔ invalid27 1.000 | boundary8 ↔ boundary28 0.662 | boundary8 ↔ complex29 0.350 | boundary8 ↔ edge30 0.770 |
| complex9 | complex9 ↔ baseline1 0.960 | complex9 ↔ invalid2 0.000 | complex9 ↔ boundary3 0.385 | complex9 ↔ complex4 0.925 | complex9 ↔ edge5 0.505 | complex9 ↔ baseline6 0.962 | complex9 ↔ invalid7 0.086 | complex9 ↔ boundary8 0.385 | complex9 ↔ complex9 1.000 | complex9 ↔ edge10 0.571 | complex9 ↔ baseline11 0.897 | complex9 ↔ invalid12 0.205 | complex9 ↔ boundary13 0.571 | complex9 ↔ complex14 0.939 | complex9 ↔ edge15 0.980 | complex9 ↔ baseline16 0.960 | complex9 ↔ invalid17 0.029 | complex9 ↔ boundary18 0.333 | complex9 ↔ complex19 0.980 | complex9 ↔ edge20 0.758 | complex9 ↔ baseline21 0.980 | complex9 ↔ invalid22 0.167 | complex9 ↔ boundary23 0.481 | complex9 ↔ complex24 0.960 | complex9 ↔ edge25 0.939 | complex9 ↔ baseline26 0.960 | complex9 ↔ invalid27 0.385 | complex9 ↔ boundary28 0.708 | complex9 ↔ complex29 0.865 | complex9 ↔ edge30 0.600 |
| edge10 | edge10 ↔ baseline1 0.610 | edge10 ↔ invalid2 0.360 | edge10 ↔ boundary3 0.800 | edge10 ↔ complex4 0.500 | edge10 ↔ edge5 0.646 | edge10 ↔ baseline6 0.535 | edge10 ↔ invalid7 0.462 | edge10 ↔ boundary8 0.800 | edge10 ↔ complex9 0.571 | edge10 ↔ edge10 1.000 | edge10 ↔ baseline11 0.671 | edge10 ↔ invalid12 0.600 | edge10 ↔ boundary13 1.000 | edge10 ↔ complex14 0.630 | edge10 ↔ edge15 0.590 | edge10 ↔ baseline16 0.610 | edge10 ↔ invalid17 0.462 | edge10 ↔ boundary18 0.905 | edge10 ↔ complex19 0.590 | edge10 ↔ edge20 0.808 | edge10 ↔ baseline21 0.590 | edge10 ↔ invalid22 0.556 | edge10 ↔ boundary23 0.905 | edge10 ↔ complex24 0.610 | edge10 ↔ edge25 0.630 | edge10 ↔ baseline26 0.317 | edge10 ↔ invalid27 0.800 | edge10 ↔ boundary28 0.859 | edge10 ↔ complex29 0.535 | edge10 ↔ edge30 0.970 |
| baseline11 | baseline11 ↔ baseline1 0.937 | baseline11 ↔ invalid2 0.079 | baseline11 ↔ boundary3 0.479 | baseline11 ↔ complex4 0.822 | baseline11 ↔ edge5 1.000 | baseline11 ↔ baseline6 0.859 | baseline11 ↔ invalid7 0.169 | baseline11 ↔ boundary8 0.479 | baseline11 ↔ complex9 0.897 | baseline11 ↔ edge10 0.671 | baseline11 ↔ baseline11 1.000 | baseline11 ↔ invalid12 0.235 | baseline11 ↔ boundary13 0.671 | baseline11 ↔ complex14 0.957 | baseline11 ↔ edge15 0.917 | baseline11 ↔ baseline16 0.937 | baseline11 ↔ invalid17 0.108 | baseline11 ↔ boundary18 0.579 | baseline11 ↔ complex19 0.917 | baseline11 ↔ edge20 0.860 | baseline11 ↔ baseline21 0.917 | baseline11 ↔ invalid22 0.254 | baseline11 ↔ boundary23 0.579 | baseline11 ↔ complex24 0.937 | baseline11 ↔ edge25 0.957 | baseline11 ↔ baseline26 0.937 | baseline11 ↔ invalid27 0.479 | baseline11 ↔ boundary28 0.810 | baseline11 ↔ complex29 0.859 | baseline11 ↔ edge30 0.700 |
| invalid12 | invalid12 ↔ baseline1 0.239 | invalid12 ↔ invalid2 0.641 | invalid12 ↔ boundary3 0.796 | invalid12 ↔ complex4 0.143 | invalid12 ↔ edge5 0.206 | invalid12 ↔ baseline6 0.173 | invalid12 ↔ invalid7 0.854 | invalid12 ↔ boundary8 0.796 | invalid12 ↔ complex9 0.205 | invalid12 ↔ edge10 0.600 | invalid12 ↔ baseline11 0.235 | invalid12 ↔ invalid12 1.000 | invalid12 ↔ boundary13 0.600 | invalid12 ↔ complex14 0.257 | invalid12 ↔ edge15 0.167 | invalid12 ↔ baseline16 0.183 | invalid12 ↔ invalid17 0.854 | invalid12 ↔ boundary18 0.692 | invalid12 ↔ complex19 0.167 | invalid12 ↔ edge20 0.419 | invalid12 ↔ baseline21 0.167 | invalid12 ↔ invalid22 0.814 | invalid12 ↔ boundary23 0.692 | invalid12 ↔ complex24 0.239 | invalid12 ↔ edge25 0.200 | invalid12 ↔ baseline26 0.183 | invalid12 ↔ invalid27 0.796 | invalid12 ↔ boundary28 0.467 | invalid12 ↔ complex29 0.173 | invalid12 ↔ edge30 0.571 |
| boundary13 | boundary13 ↔ baseline1 0.463 | boundary13 ↔ invalid2 0.360 | boundary13 ↔ boundary3 0.800 | boundary13 ↔ complex4 0.500 | boundary13 ↔ edge5 0.671 | boundary13 ↔ baseline6 0.535 | boundary13 ↔ invalid7 0.462 | boundary13 ↔ boundary8 0.700 | boundary13 ↔ complex9 0.571 | boundary13 ↔ edge10 1.000 | boundary13 ↔ baseline11 0.671 | boundary13 ↔ invalid12 0.600 | boundary13 ↔ boundary13 1.000 | boundary13 ↔ complex14 0.630 | boundary13 ↔ edge15 0.590 | boundary13 ↔ baseline16 0.610 | boundary13 ↔ invalid17 0.462 | boundary13 ↔ boundary18 0.714 | boundary13 ↔ complex19 0.590 | boundary13 ↔ edge20 0.808 | boundary13 ↔ baseline21 0.590 | boundary13 ↔ invalid22 0.556 | boundary13 ↔ boundary23 0.810 | boundary13 ↔ complex24 0.610 | boundary13 ↔ edge25 0.630 | boundary13 ↔ baseline26 0.610 | boundary13 ↔ invalid27 0.800 | boundary13 ↔ boundary28 0.859 | boundary13 ↔ complex29 0.535 | boundary13 ↔ edge30 0.970 |
| complex14 | complex14 ↔ baseline1 0.979 | complex14 ↔ invalid2 0.046 | complex14 ↔ boundary3 0.440 | complex14 ↔ complex4 0.864 | complex14 ↔ edge5 0.957 | complex14 ↔ baseline6 0.901 | complex14 ↔ invalid7 0.075 | complex14 ↔ boundary8 0.440 | complex14 ↔ complex9 0.939 | complex14 ↔ edge10 0.630 | complex14 ↔ baseline11 0.957 | complex14 ↔ invalid12 0.257 | complex14 ↔ boundary13 0.630 | complex14 ↔ complex14 1.000 | complex14 ↔ edge15 0.959 | complex14 ↔ baseline16 0.979 | complex14 ↔ invalid17 0.134 | complex14 ↔ boundary18 0.538 | complex14 ↔ complex19 0.959 | complex14 ↔ edge20 0.818 | complex14 ↔ baseline21 0.959 | complex14 ↔ invalid22 0.217 | complex14 ↔ boundary23 0.538 | complex14 ↔ complex24 0.794 | complex14 ↔ edge25 1.000 | complex14 ↔ baseline26 0.979 | complex14 ↔ invalid27 0.440 | complex14 ↔ boundary28 0.767 | complex14 ↔ complex29 0.901 | complex14 ↔ edge30 0.659 |
| edge15 | edge15 ↔ baseline1 0.980 | edge15 ↔ invalid2 0.000 | edge15 ↔ boundary3 0.403 | edge15 ↔ complex4 0.905 | edge15 ↔ edge5 0.917 | edge15 ↔ baseline6 0.942 | edge15 ↔ invalid7 0.101 | edge15 ↔ boundary8 0.403 | edge15 ↔ complex9 0.980 | edge15 ↔ edge10 0.590 | edge15 ↔ baseline11 0.917 | edge15 ↔ invalid12 0.167 | edge15 ↔ boundary13 0.590 | edge15 ↔ complex14 0.959 | edge15 ↔ edge15 1.000 | edge15 ↔ baseline16 0.980 | edge15 ↔ invalid17 0.043 | edge15 ↔ boundary18 0.500 | edge15 ↔ complex19 1.000 | edge15 ↔ edge20 0.778 | edge15 ↔ baseline21 1.000 | edge15 ↔ invalid22 0.183 | edge15 ↔ boundary23 0.500 | edge15 ↔ complex24 0.556 | edge15 ↔ edge25 0.959 | edge15 ↔ baseline26 0.980 | edge15 ↔ invalid27 0.403 | edge15 ↔ boundary28 0.727 | edge15 ↔ complex29 0.942 | edge15 ↔ edge30 0.619 |
| baseline16 | baseline16 ↔ baseline1 1.000 | baseline16 ↔ invalid2 0.030 | baseline16 ↔ boundary3 0.421 | baseline16 ↔ complex4 0.885 | baseline16 ↔ edge5 0.937 | baseline16 ↔ baseline6 0.922 | baseline16 ↔ invalid7 0.118 | baseline16 ↔ boundary8 0.421 | baseline16 ↔ complex9 0.960 | baseline16 ↔ edge10 0.610 | baseline16 ↔ baseline11 0.937 | baseline16 ↔ invalid12 0.183 | baseline16 ↔ boundary13 0.610 | baseline16 ↔ complex14 0.979 | baseline16 ↔ edge15 0.980 | baseline16 ↔ baseline16 1.000 | baseline16 ↔ invalid17 0.059 | baseline16 ↔ boundary18 0.519 | baseline16 ↔ complex19 0.980 | baseline16 ↔ edge20 0.798 | baseline16 ↔ baseline21 0.980 | baseline16 ↔ invalid22 0.200 | baseline16 ↔ boundary23 0.519 | baseline16 ↔ complex24 1.000 | baseline16 ↔ edge25 0.979 | baseline16 ↔ baseline26 1.000 | baseline16 ↔ invalid27 0.421 | baseline16 ↔ boundary28 0.747 | baseline16 ↔ complex29 0.922 | baseline16 ↔ edge30 0.639 |
| invalid17 | invalid17 ↔ baseline1 0.118 | invalid17 ↔ invalid2 0.778 | invalid17 ↔ boundary3 0.652 | invalid17 ↔ complex4 0.000 | invalid17 ↔ edge5 0.077 | invalid17 ↔ baseline6 0.056 | invalid17 ↔ invalid7 0.737 | invalid17 ↔ boundary8 0.652 | invalid17 ↔ complex9 0.029 | invalid17 ↔ edge10 0.462 | invalid17 ↔ baseline11 0.108 | invalid17 ↔ invalid12 0.854 | invalid17 ↔ boundary13 0.462 | invalid17 ↔ complex14 0.134 | invalid17 ↔ edge15 0.043 | invalid17 ↔ baseline16 0.059 | invalid17 ↔ invalid17 1.000 | invalid17 ↔ boundary18 0.551 | invalid17 ↔ complex19 0.043 | invalid17 ↔ edge20 0.288 | invalid17 ↔ baseline21 0.043 | invalid17 ↔ invalid22 0.900 | invalid17 ↔ boundary23 0.347 | invalid17 ↔ complex24 0.118 | invalid17 ↔ edge25 0.075 | invalid17 ↔ baseline26 0.059 | invalid17 ↔ invalid27 0.652 | invalid17 ↔ boundary28 0.333 | invalid17 ↔ complex29 0.056 | invalid17 ↔ edge30 0.434 |
| boundary18 | boundary18 ↔ baseline1 0.519 | boundary18 ↔ invalid2 0.447 | boundary18 ↔ boundary3 0.789 | boundary18 ↔ complex4 0.412 | boundary18 ↔ edge5 0.579 | boundary18 ↔ baseline6 0.446 | boundary18 ↔ invalid7 0.551 | boundary18 ↔ boundary8 0.789 | boundary18 ↔ complex9 0.333 | boundary18 ↔ edge10 0.905 | boundary18 ↔ baseline11 0.579 | boundary18 ↔ invalid12 0.692 | boundary18 ↔ boundary13 0.714 | boundary18 ↔ complex14 0.538 | boundary18 ↔ edge15 0.500 | boundary18 ↔ baseline16 0.519 | boundary18 ↔ invalid17 0.551 | boundary18 ↔ boundary18 1.000 | boundary18 ↔ complex19 0.500 | boundary18 ↔ edge20 0.714 | boundary18 ↔ baseline21 0.500 | boundary18 ↔ invalid22 0.647 | boundary18 ↔ boundary23 1.000 | boundary18 ↔ complex24 0.519 | boundary18 ↔ edge25 0.538 | boundary18 ↔ baseline26 0.519 | boundary18 ↔ invalid27 0.895 | boundary18 ↔ boundary28 0.765 | boundary18 ↔ complex29 0.446 | boundary18 ↔ edge30 0.875 |
| complex19 | complex19 ↔ baseline1 0.980 | complex19 ↔ invalid2 0.015 | complex19 ↔ boundary3 0.403 | complex19 ↔ complex4 0.905 | complex19 ↔ edge5 0.479 | complex19 ↔ baseline6 0.942 | complex19 ↔ invalid7 0.101 | complex19 ↔ boundary8 0.403 | complex19 ↔ complex9 0.980 | complex19 ↔ edge10 0.590 | complex19 ↔ baseline11 0.917 | complex19 ↔ invalid12 0.167 | complex19 ↔ boundary13 0.590 | complex19 ↔ complex14 0.959 | complex19 ↔ edge15 1.000 | complex19 ↔ baseline16 0.980 | complex19 ↔ invalid17 0.043 | complex19 ↔ boundary18 0.500 | complex19 ↔ complex19 1.000 | complex19 ↔ edge20 0.778 | complex19 ↔ baseline21 1.000 | complex19 ↔ invalid22 0.183 | complex19 ↔ boundary23 0.500 | complex19 ↔ complex24 0.980 | complex19 ↔ edge25 0.959 | complex19 ↔ baseline26 0.980 | complex19 ↔ invalid27 0.403 | complex19 ↔ boundary28 0.727 | complex19 ↔ complex29 0.942 | complex19 ↔ edge30 0.619 |
| edge20 | edge20 ↔ baseline1 0.798 | edge20 ↔ invalid2 0.193 | edge20 ↔ boundary3 0.612 | edge20 ↔ complex4 0.684 | edge20 ↔ edge5 0.860 | edge20 ↔ baseline6 0.720 | edge20 ↔ invalid7 0.288 | edge20 ↔ boundary8 0.612 | edge20 ↔ complex9 0.758 | edge20 ↔ edge10 0.808 | edge20 ↔ baseline11 0.860 | edge20 ↔ invalid12 0.419 | edge20 ↔ boundary13 0.808 | edge20 ↔ complex14 0.818 | edge20 ↔ edge15 0.778 | edge20 ↔ baseline16 0.798 | edge20 ↔ invalid17 0.288 | edge20 ↔ boundary18 0.714 | edge20 ↔ complex19 0.778 | edge20 ↔ edge20 1.000 | edge20 ↔ baseline21 0.778 | edge20 ↔ invalid22 0.377 | edge20 ↔ boundary23 0.714 | edge20 ↔ complex24 0.798 | edge20 ↔ edge25 0.818 | edge20 ↔ baseline26 0.798 | edge20 ↔ invalid27 0.612 | edge20 ↔ boundary28 0.949 | edge20 ↔ complex29 0.720 | edge20 ↔ edge30 0.838 |
| baseline21 | baseline21 ↔ baseline1 0.980 | baseline21 ↔ invalid2 0.015 | baseline21 ↔ boundary3 0.403 | baseline21 ↔ complex4 0.905 | baseline21 ↔ edge5 0.479 | baseline21 ↔ baseline6 0.942 | baseline21 ↔ invalid7 0.101 | baseline21 ↔ boundary8 0.403 | baseline21 ↔ complex9 0.980 | baseline21 ↔ edge10 0.590 | baseline21 ↔ baseline11 0.917 | baseline21 ↔ invalid12 0.167 | baseline21 ↔ boundary13 0.590 | baseline21 ↔ complex14 0.959 | baseline21 ↔ edge15 1.000 | baseline21 ↔ baseline16 0.980 | baseline21 ↔ invalid17 0.043 | baseline21 ↔ boundary18 0.500 | baseline21 ↔ complex19 1.000 | baseline21 ↔ edge20 0.778 | baseline21 ↔ baseline21 1.000 | baseline21 ↔ invalid22 0.183 | baseline21 ↔ boundary23 0.500 | baseline21 ↔ complex24 0.980 | baseline21 ↔ edge25 0.959 | baseline21 ↔ baseline26 0.939 | baseline21 ↔ invalid27 0.403 | baseline21 ↔ boundary28 0.727 | baseline21 ↔ complex29 0.942 | baseline21 ↔ edge30 0.619 |
| invalid22 | invalid22 ↔ baseline1 0.200 | invalid22 ↔ invalid2 0.684 | invalid22 ↔ boundary3 0.750 | invalid22 ↔ complex4 0.105 | invalid22 ↔ edge5 0.254 | invalid22 ↔ baseline6 0.135 | invalid22 ↔ invalid7 0.900 | invalid22 ↔ boundary8 0.750 | invalid22 ↔ complex9 0.167 | invalid22 ↔ edge10 0.556 | invalid22 ↔ baseline11 0.254 | invalid22 ↔ invalid12 0.814 | invalid22 ↔ boundary13 0.556 | invalid22 ↔ complex14 0.217 | invalid22 ↔ edge15 0.183 | invalid22 ↔ baseline16 0.200 | invalid22 ↔ invalid17 0.900 | invalid22 ↔ boundary18 0.647 | invalid22 ↔ complex19 0.183 | invalid22 ↔ edge20 0.377 | invalid22 ↔ baseline21 0.183 | invalid22 ↔ invalid22 1.000 | invalid22 ↔ boundary23 0.647 | invalid22 ↔ complex24 0.200 | invalid22 ↔ edge25 0.130 | invalid22 ↔ baseline26 0.200 | invalid22 ↔ invalid27 0.750 | invalid22 ↔ boundary28 0.424 | invalid22 ↔ complex29 0.135 | invalid22 ↔ edge30 0.527 |
| boundary23 | boundary23 ↔ baseline1 0.519 | boundary23 ↔ invalid2 0.277 | boundary23 ↔ boundary3 0.895 | boundary23 ↔ complex4 0.412 | boundary23 ↔ edge5 0.579 | boundary23 ↔ baseline6 0.446 | boundary23 ↔ invalid7 0.551 | boundary23 ↔ boundary8 0.895 | boundary23 ↔ complex9 0.481 | boundary23 ↔ edge10 0.905 | boundary23 ↔ baseline11 0.579 | boundary23 ↔ invalid12 0.692 | boundary23 ↔ boundary13 0.810 | boundary23 ↔ complex14 0.538 | boundary23 ↔ edge15 0.500 | boundary23 ↔ baseline16 0.519 | boundary23 ↔ invalid17 0.347 | boundary23 ↔ boundary18 1.000 | boundary23 ↔ complex19 0.500 | boundary23 ↔ edge20 0.714 | boundary23 ↔ baseline21 0.500 | boundary23 ↔ invalid22 0.647 | boundary23 ↔ boundary23 1.000 | boundary23 ↔ complex24 0.519 | boundary23 ↔ edge25 0.538 | boundary23 ↔ baseline26 0.519 | boundary23 ↔ invalid27 0.895 | boundary23 ↔ boundary28 0.765 | boundary23 ↔ complex29 0.446 | boundary23 ↔ edge30 0.875 |
| complex24 | complex24 ↔ baseline1 1.000 | complex24 ↔ invalid2 0.030 | complex24 ↔ boundary3 0.421 | complex24 ↔ complex4 0.885 | complex24 ↔ edge5 0.937 | complex24 ↔ baseline6 0.922 | complex24 ↔ invalid7 0.059 | complex24 ↔ boundary8 0.421 | complex24 ↔ complex9 0.960 | complex24 ↔ edge10 0.610 | complex24 ↔ baseline11 0.937 | complex24 ↔ invalid12 0.239 | complex24 ↔ boundary13 0.610 | complex24 ↔ complex14 0.794 | complex24 ↔ edge15 0.556 | complex24 ↔ baseline16 1.000 | complex24 ↔ invalid17 0.118 | complex24 ↔ boundary18 0.519 | complex24 ↔ complex19 0.980 | complex24 ↔ edge20 0.798 | complex24 ↔ baseline21 0.980 | complex24 ↔ invalid22 0.200 | complex24 ↔ boundary23 0.519 | complex24 ↔ complex24 1.000 | complex24 ↔ edge25 0.979 | complex24 ↔ baseline26 1.000 | complex24 ↔ invalid27 0.421 | complex24 ↔ boundary28 0.747 | complex24 ↔ complex29 0.922 | complex24 ↔ edge30 0.639 |
| edge25 | edge25 ↔ baseline1 0.979 | edge25 ↔ invalid2 0.000 | edge25 ↔ boundary3 0.440 | edge25 ↔ complex4 0.864 | edge25 ↔ edge5 0.957 | edge25 ↔ baseline6 0.901 | edge25 ↔ invalid7 0.134 | edge25 ↔ boundary8 0.440 | edge25 ↔ complex9 0.939 | edge25 ↔ edge10 0.630 | edge25 ↔ baseline11 0.957 | edge25 ↔ invalid12 0.200 | edge25 ↔ boundary13 0.630 | edge25 ↔ complex14 1.000 | edge25 ↔ edge15 0.959 | edge25 ↔ baseline16 0.979 | edge25 ↔ invalid17 0.075 | edge25 ↔ boundary18 0.538 | edge25 ↔ complex19 0.959 | edge25 ↔ edge20 0.818 | edge25 ↔ baseline21 0.959 | edge25 ↔ invalid22 0.130 | edge25 ↔ boundary23 0.538 | edge25 ↔ complex24 0.979 | edge25 ↔ edge25 1.000 | edge25 ↔ baseline26 0.979 | edge25 ↔ invalid27 0.440 | edge25 ↔ boundary28 0.767 | edge25 ↔ complex29 0.901 | edge25 ↔ edge30 0.659 |
| baseline26 | baseline26 ↔ baseline1 1.000 | baseline26 ↔ invalid2 0.030 | baseline26 ↔ boundary3 0.421 | baseline26 ↔ complex4 0.885 | baseline26 ↔ edge5 0.937 | baseline26 ↔ baseline6 0.922 | baseline26 ↔ invalid7 0.118 | baseline26 ↔ boundary8 0.421 | baseline26 ↔ complex9 0.960 | baseline26 ↔ edge10 0.317 | baseline26 ↔ baseline11 0.937 | baseline26 ↔ invalid12 0.183 | baseline26 ↔ boundary13 0.610 | baseline26 ↔ complex14 0.979 | baseline26 ↔ edge15 0.980 | baseline26 ↔ baseline16 1.000 | baseline26 ↔ invalid17 0.059 | baseline26 ↔ boundary18 0.519 | baseline26 ↔ complex19 0.980 | baseline26 ↔ edge20 0.798 | baseline26 ↔ baseline21 0.939 | baseline26 ↔ invalid22 0.200 | baseline26 ↔ boundary23 0.519 | baseline26 ↔ complex24 1.000 | baseline26 ↔ edge25 0.979 | baseline26 ↔ baseline26 1.000 | baseline26 ↔ invalid27 0.421 | baseline26 ↔ boundary28 0.747 | baseline26 ↔ complex29 0.922 | baseline26 ↔ edge30 0.325 |
| invalid27 | invalid27 ↔ baseline1 0.421 | invalid27 ↔ invalid2 0.545 | invalid27 ↔ boundary3 1.000 | invalid27 ↔ complex4 0.317 | invalid27 ↔ edge5 0.479 | invalid27 ↔ baseline6 0.350 | invalid27 ↔ invalid7 0.652 | invalid27 ↔ boundary8 1.000 | invalid27 ↔ complex9 0.385 | invalid27 ↔ edge10 0.800 | invalid27 ↔ baseline11 0.479 | invalid27 ↔ invalid12 0.796 | invalid27 ↔ boundary13 0.800 | invalid27 ↔ complex14 0.440 | invalid27 ↔ edge15 0.403 | invalid27 ↔ baseline16 0.421 | invalid27 ↔ invalid17 0.652 | invalid27 ↔ boundary18 0.895 | invalid27 ↔ complex19 0.403 | invalid27 ↔ edge20 0.612 | invalid27 ↔ baseline21 0.403 | invalid27 ↔ invalid22 0.750 | invalid27 ↔ boundary23 0.895 | invalid27 ↔ complex24 0.421 | invalid27 ↔ edge25 0.440 | invalid27 ↔ baseline26 0.421 | invalid27 ↔ invalid27 1.000 | invalid27 ↔ boundary28 0.662 | invalid27 ↔ complex29 0.350 | invalid27 ↔ edge30 0.770 |
| boundary28 | boundary28 ↔ baseline1 0.747 | boundary28 ↔ invalid2 0.236 | boundary28 ↔ boundary3 0.662 | boundary28 ↔ complex4 0.634 | boundary28 ↔ edge5 0.810 | boundary28 ↔ baseline6 0.670 | boundary28 ↔ invalid7 0.263 | boundary28 ↔ boundary8 0.662 | boundary28 ↔ complex9 0.708 | boundary28 ↔ edge10 0.859 | boundary28 ↔ baseline11 0.810 | boundary28 ↔ invalid12 0.467 | boundary28 ↔ boundary13 0.859 | boundary28 ↔ complex14 0.767 | boundary28 ↔ edge15 0.727 | boundary28 ↔ baseline16 0.747 | boundary28 ↔ invalid17 0.333 | boundary28 ↔ boundary18 0.765 | boundary28 ↔ complex19 0.727 | boundary28 ↔ edge20 0.949 | boundary28 ↔ baseline21 0.727 | boundary28 ↔ invalid22 0.424 | boundary28 ↔ boundary23 0.765 | boundary28 ↔ complex24 0.747 | boundary28 ↔ edge25 0.767 | boundary28 ↔ baseline26 0.747 | boundary28 ↔ invalid27 0.662 | boundary28 ↔ boundary28 1.000 | boundary28 ↔ complex29 0.670 | boundary28 ↔ edge30 0.889 |
| complex29 | complex29 ↔ baseline1 0.922 | complex29 ↔ invalid2 0.000 | complex29 ↔ boundary3 0.350 | complex29 ↔ complex4 0.963 | complex29 ↔ edge5 0.859 | complex29 ↔ baseline6 1.000 | complex29 ↔ invalid7 0.056 | complex29 ↔ boundary8 0.350 | complex29 ↔ complex9 0.865 | complex29 ↔ edge10 0.535 | complex29 ↔ baseline11 0.859 | complex29 ↔ invalid12 0.173 | complex29 ↔ boundary13 0.535 | complex29 ↔ complex14 0.901 | complex29 ↔ edge15 0.942 | complex29 ↔ baseline16 0.922 | complex29 ↔ invalid17 0.056 | complex29 ↔ boundary18 0.446 | complex29 ↔ complex19 0.942 | complex29 ↔ edge20 0.720 | complex29 ↔ baseline21 0.942 | complex29 ↔ invalid22 0.135 | complex29 ↔ boundary23 0.446 | complex29 ↔ complex24 0.922 | complex29 ↔ edge25 0.901 | complex29 ↔ baseline26 0.922 | complex29 ↔ invalid27 0.350 | complex29 ↔ boundary28 0.670 | complex29 ↔ complex29 1.000 | complex29 ↔ edge30 0.563 |
| edge30 | edge30 ↔ baseline1 0.205 | edge30 ↔ invalid2 0.333 | edge30 ↔ boundary3 0.770 | edge30 ↔ complex4 0.528 | edge30 ↔ edge5 0.650 | edge30 ↔ baseline6 0.563 | edge30 ↔ invalid7 0.434 | edge30 ↔ boundary8 0.770 | edge30 ↔ complex9 0.600 | edge30 ↔ edge10 0.970 | edge30 ↔ baseline11 0.700 | edge30 ↔ invalid12 0.571 | edge30 ↔ boundary13 0.970 | edge30 ↔ complex14 0.659 | edge30 ↔ edge15 0.619 | edge30 ↔ baseline16 0.639 | edge30 ↔ invalid17 0.434 | edge30 ↔ boundary18 0.875 | edge30 ↔ complex19 0.619 | edge30 ↔ edge20 0.838 | edge30 ↔ baseline21 0.619 | edge30 ↔ invalid22 0.527 | edge30 ↔ boundary23 0.875 | edge30 ↔ complex24 0.639 | edge30 ↔ edge25 0.659 | edge30 ↔ baseline26 0.325 | edge30 ↔ invalid27 0.770 | edge30 ↔ boundary28 0.889 | edge30 ↔ complex29 0.563 | edge30 ↔ edge30 1.000 |
Individual.seating
Evenness (active groups) =
0.8315
Evenness (all groups) = 0.8315
Banquet.paymentMethod
Evenness (active groups) =
0.9044
Evenness (all groups) = 0.9044
MenuItem.classification
Evenness (active groups) =
0.8807
Evenness (all groups) = 0.8807
FoodItem.unit
Evenness (active groups) =
0.8054
Evenness (all groups) = 0.8054
Allergen.type
Evenness (active groups) =
0.9788
Evenness (all groups) = 0.9788
RegularCustomer.prefferedLanguage
Evenness (active groups) =
0.8012
Evenness (all groups) = 0.8012
Restaurant - CoT Metrics
Stats
Stats Breakdown of the total cost and elapsed time for generating the instances. - Elapsed Time = Console Time (ie. Processing Time + API Calls)
- Cost = (input tokens * input price) + (output tokens * output price)
Stats
Breakdown of the total cost and elapsed time for generating the instances.
- Elapsed Time = Console Time (ie. Processing Time + API Calls)
- Cost = (input tokens * input price) + (output tokens * output price)
| Total Cost | $8.58 |
Validation
Validation Measures the correctness of the instantiation using the USE check function. - Syntax = 1 - (Total Number of syntax errors [use check] / Total Number of lines [instance])
- Multiplicities = 1 - (Total Number of multiplicities errors [use check] / Total Number of relationships ([instance] !insert))
- Invariants = 1 - (Total Number of invariants errors [use check] / Total Number of invariants ([model] constraints))
Validation
Measures the correctness of the instantiation using the USE check function.
- Syntax = 1 - (Total Number of syntax errors [use check] / Total Number of lines [instance])
- Multiplicities = 1 - (Total Number of multiplicities errors [use check] / Total Number of relationships ([instance] !insert))
- Invariants = 1 - (Total Number of invariants errors [use check] / Total Number of invariants ([model] constraints))
| Syntax | 100.0% |
| Multiplicities | 99.6% |
| Invariants | 100.0% |
Diversity
Diversity Measures the variability of the generated instances. Attributes (NumericEquals, StringEquals, StringLv): It identifies how much the LLM repeats specific values versus generating unique data points across instances (100%: Diverse, 0%: Repetitive). We group all generated attributes into bags (numeric and string) and then perform pairwise comparisons between every element to obtain. Structure (GED): Measures the Graph Edit Distance (GED) similarity between instances. Distribution (Shannon): Measures the entropy and evenness (balanced distribution) of the generated enum values. - NumericEquals = Total number of numeric attribute pairs with different values / Total number of possible pairs (n * (n - 1) / 2)
- StringEquals = Total number of string attribute pairs that are NOT exactly identical / Total number of possible pairs (n * (n - 1) / 2)
- StringLv = Sum of (Levenshtein Distance(a, b) / max(length(a), length(b))) for all string pairs / Total number of possible pairs (n * (n - 1) / 2)
- GED = Similarity = 1 - (GED / (0.5 * (GED_to_empty_A + GED_to_empty_B))). 1 = red = identical graphs, <=0.5 = green = different graphs. We consider as edit operations: Nodes, Edges, Node_Labels and Edge_Labels [https://github.com/a-coman/ged]
- Shannon (Active) = Entropy / log2(Number of unique groups actually generated). Measures how evenly the generated values are distributed, considering only the categories the LLM actually used.
- Shannon (All) = Entropy / log2(Total number of valid groups defined in the model). Measures how evenly the generated values are distributed against the full spectrum of all possible valid options defined in the .use file.
Diversity
Measures the variability of the generated instances. Attributes (NumericEquals, StringEquals, StringLv): It identifies how much the LLM repeats specific values versus generating unique data points across instances (100%: Diverse, 0%: Repetitive). We group all generated attributes into bags (numeric and string) and then perform pairwise comparisons between every element to obtain. Structure (GED): Measures the Graph Edit Distance (GED) similarity between instances. Distribution (Shannon): Measures the entropy and evenness (balanced distribution) of the generated enum values.
- NumericEquals = Total number of numeric attribute pairs with different values / Total number of possible pairs (n * (n - 1) / 2)
- StringEquals = Total number of string attribute pairs that are NOT exactly identical / Total number of possible pairs (n * (n - 1) / 2)
- StringLv = Sum of (Levenshtein Distance(a, b) / max(length(a), length(b))) for all string pairs / Total number of possible pairs (n * (n - 1) / 2)
- GED = Similarity = 1 - (GED / (0.5 * (GED_to_empty_A + GED_to_empty_B))). 1 = red = identical graphs, <=0.5 = green = different graphs. We consider as edit operations: Nodes, Edges, Node_Labels and Edge_Labels [https://github.com/a-coman/ged]
- Shannon (Active) = Entropy / log2(Number of unique groups actually generated). Measures how evenly the generated values are distributed, considering only the categories the LLM actually used.
- Shannon (All) = Entropy / log2(Total number of valid groups defined in the model). Measures how evenly the generated values are distributed against the full spectrum of all possible valid options defined in the .use file.
| Numeric | 96.9% |
| String Equals | 99.9% |
| String LV | 90.5% |
| GED | 0.593 ± 0.297 |
| Shannon (Active) | 0.867 ± 0.063 |
| Shannon (All) | 0.867 ± 0.063 |
Coverage
Model Coverage Measures the breadth of the instantiation. It answers: "How much of the structural blueprint (the model) was used?" - Classes = Total Unique Classes instantiated (!new) in the .soil / Total Number of classes (class) in the model .use
- Attributes = Total Unique Attributes instantiated (!Class.Attribute or !set) in the .soil / Total Number of attributes (attributes) in the model .use
- Relationships = Total Unique Relationships instantiated (!insert) in the .soil / Total Number of relationships (association, composition, aggregation) in the model .use
Model Coverage
Measures the breadth of the instantiation. It answers: "How much of the structural blueprint (the model) was used?"
- Classes = Total Unique Classes instantiated (!new) in the .soil / Total Number of classes (class) in the model .use
- Attributes = Total Unique Attributes instantiated (!Class.Attribute or !set) in the .soil / Total Number of attributes (attributes) in the model .use
- Relationships = Total Unique Relationships instantiated (!insert) in the .soil / Total Number of relationships (association, composition, aggregation) in the model .use
| Classes | 63.9% |
| Attributes | 62.5% |
| Relationships | 73.1% |
Uncovered Items 78
Classes 16
AllergenBanquetBusDriverChefCookDietaryRequirementFoodItemHeadWaiter
Show all 16 classes
AllergenBanquetBusDriverChefCookDietaryRequirementFoodItemHeadWaiterIndividualItemOrderManagerMenuItemPersonRegularCustomerReportedAllergyWaiter
Attributes 52
Allergen.typeBanquet.busServiceBanquet.dateBanquet.groupNameBanquet.nameBanquet.numberBanquet.numberPeopleBanquet.paymentMethod
Show all 52 attributes
Allergen.typeBanquet.busServiceBanquet.dateBanquet.groupNameBanquet.nameBanquet.numberBanquet.numberPeopleBanquet.paymentMethodBanquet.phoneNumberBanquet.timeBusDriver.dateOfBirthBusDriver.driverLicenseNrBusDriver.nameBusDriver.phoneNumberChef.dateOfBirthChef.nameChef.phoneNumberCook.dateOfBirthCook.nameCook.phoneNumberCook.yearsOfExperienceDietaryRequirement.dietFoodItem.descriptionFoodItem.numberFoodItem.purchaseFlagFoodItem.unitHeadWaiter.dateOfBirthHeadWaiter.nameHeadWaiter.phoneNumberIndividual.dateIndividual.nameIndividual.numberIndividual.numberPeopleIndividual.phoneNumberIndividual.seatingIndividual.smokingIndividual.timeItemOrder.timeManager.dateOfBirthManager.nameManager.phoneNumberMenuItem.classificationMenuItem.descriptionMenuItem.prepTimePerson.nameRegularCustomer.nameRegularCustomer.prefferedLanguageReportedAllergy.allergenWaiter.dateOfBirthWaiter.nameWaiter.phoneNumberWaiter.spokenLanguage
Relationships 10
BanquetBusDriverChefCookFoodItemAllergenHeadWaiterWaiterItemOrderMenuItemMenuItemChefMenuItemFoodItemReservationCustomer
Show all 10 relationships
BanquetBusDriverChefCookFoodItemAllergenHeadWaiterWaiterItemOrderMenuItemMenuItemChefMenuItemFoodItemReservationCustomerReservationItemOrderedReservationWaiter
Instantiation
Instance Instantiation Measures the depth or density of the data. It answers: "Of the objects the LLM decided to create, how many of their available 'slots' did it fill?" - Classes = Total Number of classes (!new) in the instance / Total possible that could have been instantiated (infinity)
- Attributes = Total Number of attributes (!Class.Attribute or !set) in the instance / Total possible that could have been instantiated (sum(number of classes instantiated of that type * Class.Attributes))
- Relationships = Total Number of relationships (!insert) in the instance / Total possible that could have been instantiated (infinity)
Instance Instantiation
Measures the depth or density of the data. It answers: "Of the objects the LLM decided to create, how many of their available 'slots' did it fill?"
- Classes = Total Number of classes (!new) in the instance / Total possible that could have been instantiated (infinity)
- Attributes = Total Number of attributes (!Class.Attribute or !set) in the instance / Total possible that could have been instantiated (sum(number of classes instantiated of that type * Class.Attributes))
- Relationships = Total Number of relationships (!insert) in the instance / Total possible that could have been instantiated (infinity)
| Classes | 603/∞ |
| Attributes | 1816/2030 |
| Relationships | 559/∞ |
Quality
Quality Measures the realism of the generated instances. It identifies how much the LLM respects real-world logic. Using Gemini 3.1 Pro as an LLM as a Judge we ask it to rate (realistic, unrealistic, doubtful) the realism of each instance and explain its decision. - Realism = Total Number of "realistic" instances / Total Number of instances
- Judge Cost = (input tokens * input price) + (output tokens * output price)
Quality
Measures the realism of the generated instances. It identifies how much the LLM respects real-world logic. Using Gemini 3.1 Pro as an LLM as a Judge we ask it to rate (realistic, unrealistic, doubtful) the realism of each instance and explain its decision.
- Realism = Total Number of "realistic" instances / Total Number of instances
- Judge Cost = (input tokens * input price) + (output tokens * output price)
| Realism | 60.0% |
| Judge Cost | $0.97 |
Generations
| Name | Syntax | Mult | Inv | Num.Eq | Str.Eq | Str.LV | Cov.Cls | Cov.Attr | Cov.Rel | Inst.Cls | Inst.Attr | Inst.Rel | Realism |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| gen1 | 99.8% | 98.8% | 100.0% | 93.2% | 100.0% | 90.4% | 63.2% | 60.0% | 73.8% | 100/∞ | 290/332 | 94/∞ | 20.0% |
| gen2 | 100.0% | 100.0% | 100.0% | 95.3% | 99.8% | 90.7% | 63.2% | 63.8% | 70.8% | 95/∞ | 292/325 | 87/∞ | 60.0% |
| gen3 | 100.0% | 100.0% | 100.0% | 97.6% | 99.9% | 90.8% | 65.3% | 63.1% | 78.5% | 102/∞ | 305/340 | 97/∞ | 60.0% |
| gen4 | 100.0% | 100.0% | 100.0% | 97.2% | 100.0% | 90.6% | 63.2% | 62.1% | 72.3% | 98/∞ | 298/332 | 90/∞ | 80.0% |
| gen5 | 100.0% | 100.0% | 100.0% | 98.1% | 99.8% | 88.7% | 63.2% | 60.0% | 69.2% | 105/∞ | 314/354 | 93/∞ | 80.0% |
| gen6 | 100.0% | 98.8% | 100.0% | 97.4% | 99.8% | 90.1% | 65.3% | 65.9% | 73.8% | 103/∞ | 317/347 | 98/∞ | 60.0% |