The networks were evaluated by 4 distinct criteria:
The first score shall be maximized, the other scores shall be minimized. In order to obtain the scale, your results are compared with the original network (denoted as orig) and a random network (denoted as random, its structure was learned by K2 having a random variable order with an extremely small sample size, its parameters were randomized). On top of that, there are two straightforwardly learned networks K2Random (K2 algorithm, a random order of variables, properly learned parameters) and K2correct (K2 algorithm, the correct order of variables, properly learned parameters).
I ranked your solutions in descending order, I used a weighted average of loglik, size and totVarDist. The orig network (almost necessarily) wins. At the same time, there are at least 6 proper solutions that approach the original. Other 10 solutions can be concerned as very good. The remaining models score poorly. On one hand, the cause can be a minor inattention, on the other hand, you were supposed to check before submission.
name | loglik | size | totVarDist | KLdiv |
---|---|---|---|---|
orig | -76509 | 72 | 6.6527E-016 | 0 |
pytelma1 | -76574 | 87 | 0.040128 | 0.0067762 |
serycjon | -76593 | 67 | 0.040122 | 0.0080113 |
futscdav | -76602 | 52 | 0.043166 | 0.0088752 |
amricjon | -76593 | 59 | 0.045995 | 0.007743 |
novakli2 | -76611 | 65 | 0.046004 | 0.009775 |
shchegal | -76617 | 64 | 0.0489 | 0.0108 |
gamecjan | -76621 | 53 | 0.049342 | 0.010975 |
rusnaras | -76635 | 64 | 0.0506 | 0.0125 |
slunedan | -76592 | 72 | 0.0514 | 0.0091 |
K2Random | -76524 | 105 | 0.056714 | Inf |
marekp14 | -76642 | 53 | 0.0609 | 0.0136 |
vaclajon | -77354 | 86 | 0.054565 | Inf |
vavrimat | -76689 | 51 | 0.0703 | 0.0176 |
munchmar | -76781 | 52 | 0.069711 | 0.022822 |
rakadam | -76714 | 46 | 0.0723 | 0.0188 |
ondralad | -76786 | 55 | 0.072722 | 0.024152 |
vyskoto4 | -76724 | 64 | 0.0784 | 0.0216 |
fadrhmar | -76815 | 67 | 0.086512 | 0.0254 |
chmelma3 | -79548 | 71 | 0.0673 | Inf |
kasimyur | -76922 | 71 | 0.10211 | 0.041701 |
K2Correct | -76953 | 45 | 0.10673 | 0.036691 |
jencidus | -82916 | 83 | 0.050769 | Inf |
kryskmar | -77091 | 56 | 0.1277 | 0.0576 |
pavlisim | -77124 | 47 | 0.1275 | 0.0592 |
malyja16 | -77111 | 61 | 0.1279 | 0.0583 |
ciefomar | -77193 | 67 | 0.13352 | 0.068011 |
jandoka3 | -77173 | 49 | 0.13429 | 0.060934 |
staryja3 | -77080 | 60 | 0.1359 | 0.0583 |
drykjan | -77173 | 61 | 0.13594 | 0.064542 |
vsetepet | -77292 | 84 | 0.143 | 0.0764 |
svachmic | -82467 | 80 | 0.1651 | Inf |
chamrtom | -78631 | 410 | 0.24552 | 0.21754 |
dolezmat | -79879 | 114 | 0.3233 | 0.3271 |
dundrja1 | -81260 | 269 | 0.3865 | 0.47281 |
makaral1 | -82886 | 57 | 0.6499 | 1.4953 |
random | -130513 | 85 | 0.85484 | 5.403 |
kuskapet | -131449 | 487 | 0.85963 | 5.4962 |
kruzimic | -211340 | 639 | 0.13216 | Inf |
nelibjir | -128649 | 181 | 0.8969 | 5.5048 |
kruzimic | -211340 | 639 | 0.1322 | Inf |
horenmar | -143239 | 767 | 0.1766 | Inf |
kubesda1 | -247375 | 735 | 0.1071 | Inf |
linkaja1 | -8827683 | 54 | 0.87177 | Inf |
rindtedu | -13051543 | 76 | 0.59169 | Inf |