Table 2. Sensitivity and specificity, as a measure of performance of eLasso. Data is simulated under various conditions (ssize, nnodes, connectedness (p (probability of a connection), pa (preferential attachment), pr (probability of rewiring)) when the AND-rule and γ = .25 is applied. For networks with 100 nodes, deviating levels of connectedness are displayed between brackets. Results of applying eLasso with the OR-rule and γ = 0 are displayed between brackets.
Random | Scale-free | Small world | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
ssize | nnodes | p = .1(.05) | p = .2(.10) | p = .3(.15) | pa = 1 | pa = 2(1.25) | pa = 3(1.5) | pr = .1 | pr = .5 | pr = 1 | |
100 | 10 | SEN | 0.256 (0.348) | 0.241 (0.395) | 0.229 (0.409) | 0.221 (0.363) | 0.184 (0.380) | 0.172 (0.397) | 0.253 (0.458) | 0.257 (0.412) | 0.260 (0.434) |
SPE | 0.997 (0.968) | 0.996 (0.950) | 0.991 (0.929) | 0.997 (0.953) | 0.994 (0.958) | 0.997 (0.969) | 0.989 (0.893) | 0.988 (0.912) | 0.987 (0.907) | ||
20 | SEN | 0.183 (0.324) | 0.166 (0.339) | 0.173 (0.339) | 0.168 (0.315) | 0.104 (0.288) | 0.074 (0.305) | 0.188 (0.359) | 0.189 (0.349) | 0.168 (0.342) | |
SPE | 0.998 (0.976) | 0.997 (0.961) | 0.991 (0.933) | 0.998 (0.978) | 0.998 (0.986) | 0.999 (0.987) | 0.997 (0.960) | 0.995 (0.962) | 0.997 (0.958) | ||
30 | SEN | 0.146 (0.295) | 0.128 (0.307) | 0.118 (0.242) | 0.146 (0.269) | 0.064 (0.186) | 0.044 (0.126) | 0.160 (0.328) | 0.147 (0.287) | 0.144 (0.305) | |
SPE | 0.999 (0.982) | 0.996 (0.956) | 0.982 (0.922) | 0.999 (0.986) | 0.999 (0.99) | 0.999 (0.991) | 0.999 (0.976) | 0.999 (0.978) | 0.999 (0.976) | ||
100 | SEN | 0.080 (0.186) | 0.056 (0.132) | 0.031 (0.134) | 0.081 (0.185) | 0.067 (0.139) | 0.040 (0.085) | 0.121 (0.238) | 0.087 (0.205) | 0.092 (0.195) | |
SPE | 1.000 (0.995) | 0.990 (0.962) | 0.983 (0.904) | 1.000 (0.997) | 1.0000 (0.997) | 1.000 (0.998) | 1.000 (0.995) | 1.000 (0.995) | 1.000 (0.995) | ||
500 | 10 | SEN | 0.550 (0.649) | 0.551 (0.672) | 0.617 (0.704) | 0.561 (0.687) | 0.501 (0.713) | 0.499 (0.734) | 0.650 (0.726) | 0.628 (0.765) | 0.623 (0.757) |
SPE | 0.998 (0.975) | 0.993 (0.945) | 0.982 (0.922) | 0.996 (0.957) | 0.997 (0.958) | 0.995 (0.966) | 0.953 (0.879) | 0.964 (0.869) | 0.964 (0.862) | ||
20 | SEN | 0.539 (0.633) | 0.537 (0.678) | 0.527 (0.643) | 0.492 (0.613) | 0.364 (0.619) | 0.302 (0.557) | 0.569 (0.691) | 0.538 (0.665) | 0.538 (0.676) | |
SPE | 0.998 (0.976) | 0.989 (0.944) | 0.971 (0.904) | 0.998 (0.980) | 0.999 (0.985) | 0.999 (0.990) | 0.992 (0.945) | 0.989 (0.945) | 0.990 (0.945) | ||
30 | SEN | 0.508 (0.637) | 0.498 (0.620) | 0.298 (0.470) | 0.461 (0.598) | 0.260 (0.465) | 0.247 (0.391) | 0.536 (0.662) | 0.505 (0.639) | 0.504 (0.628) | |
SPE | 0.997 (0.977) | 0.984 (0.939) | 0.964 (0.879) | 0.999 (0.985) | 0.999 (0.992) | 0.999 (0.994) | 0.996 (0.969) | 0.996 (0.965) | 0.995 (0.965) | ||
100 | SEN | 0.416 (0.537) | 0.189 (0.336) | 0.091 (0.164) | 0.372 (0.498) | 0.311 (0.420) | 0.174 (0.289) | 0.481 (0.600) | 0.433 (0.554) | 0.428 (0.558) | |
SPE | 0.999 (0.989) | 0.982 (0.932) | 0.964 (0.913) | 1.000 (0.996) | 1.000 (0.997) | 1.000 (0.998) | 0.999 (0.992) | 0.999 (0.992) | 0.999 (0.992) | ||
1000 | 10 | SEN | 0.726 (0.794) | 0.671 (0.752) | 0.710 (0.783) | 0.662 (0.756) | 0.620 (0.781) | 0.622 (0.818) | 0.738 (0.814) | 0.751 (0.814) | 0.758 (0.820) |
SPE | 0.998 (0.974) | 0.993 (0.950) | 0.979 (0.921) | 0.994 (0.952) | 0.992 (0.966) | 0.995 (0.974) | 0.954 (0.862) | 0.957 (0.867) | 0.956 (0.869) | ||
20 | SEN | 0.666 (0.752) | 0.665 (0.784) | 0.630 (0.770) | 0.599 (0.736) | 0.533 (0.699) | 0.431 (0.709) | 0.680 (0.776) | 0.664 (0.764) | 0.681 (0.772) | |
SPE | 0.998 (0.976) | 0.987 (0.936) | 0.968 (0.886) | 0.998 (0.977) | 0.999 (0.984) | 0.999 (0.987) | 0.991 (0.946) | 0.990 (0.938) | 0.988 (0.938) | ||
30 | SEN | 0.658 (0.736) | 0.603 (0.710) | 0.420 (0.583) | 0.578 (0.699) | 0.389 (0.566) | 0.340 (0.545) | 0.669 (0.752) | 0.663 (0.738) | 0.661 (0.740) | |
SPE | 0.996 (0.974) | 0.982 (0.931) | 0.956 (0.870) | 0.999 (0.985) | 0.999 (0.991) | 0.999 (0.993) | 0.995 (0.966) | 0.993 (0.963) | 0.994 (0.961) | ||
100 | SEN | 0.572 (0.671) | 0.286 (0.427) | 0.125 (0.199) | 0.519 (0.624) | 0.409 (0.544) | 0.284 (0.351) | 0.636 (0.713) | 0.579 (0.679) | 0.593 (0.680) | |
SPE | 0.999 (0.987) | 0.979 (0.919) | 0.957 (0.908) | 1.000 (0.996) | 1.000 (0.997) | 1.000 (0.998) | 0.999 (0.991) | 0.999 (0.991) | 0.999 (0.991) | ||
2000 | 10 | SEN | 0.711 (0.808) | 0.775 (0.830) | 0.810 (0.842) | 0.746 (0.842) | 0.728 (0.870) | 0.712 (0.891) | 0.821 (0.880) | 0.829 (0.864) | 0.822 (0.866) |
SPE | 0.996 (0.986) | 0.994 (0.951) | 0.983 (0.921) | 0.996 (0.955) | 0.995 (0.967) | 0.993 (0.968) | 0.956 (0.871) | 0.960 (0.873) | 0.946 (0.846) | ||
20 | SEN | 0.741 (0.804) | 0.770 (0.838) | 0.754 (0.840) | 0.691 (0.805) | 0.624 (0.769) | 0.566 (0.754) | 0.793 (0.837) | 0.769 (0.836) | 0.762 (0.844) | |
SPE | 0.997 (0.977) | 0.987 (0.942) | 0.962 (0.876) | 0.998 (0.977) | 0.998 (0.984) | 0.999 (0.988) | 0.988 (0.942) | 0.987 (0.936) | 0.986 (0.932) | ||
30 | SEN | 0.756 (0.808) | 0.740 (0.808) | 0.529 (0.656) | 0.698 (0.807) | 0.483 (0.712) | 0.430 (0.612) | 0.772 (0.837) | 0.762 (0.818) | 0.754 (0.825) | |
SPE | 0.996 (0.974) | 0.974 (0.917) | 0.944 (0.851) | 0.999 (0.984) | 0.999 (0.990) | 0.999 (0.993) | 0.994 (0.963) | 0.992 (0.961) | 0.993 (0.959) | ||
100 | SEN | 0.688 (0.767) | 0.385 (0.539) | 0.160 (0.250) | 0.648 (0.736) | 0.548 (0.607) | 0.349 (0.398) | 0.738 (0.793) | 0.708 (0.776) | 0.703 (0.777) | |
SPE | 0.998 (0.986) | 0.973 (0.906) | 0.954 (0.895) | 1.000 (0.996) | 1.000 (0.997) | 1.000 (0.998) | 0.999 (0.991) | 0.999 (0.990) | 0.999 (0.990) |