For a short description on the computed values, refer to the documentation.
Attribute values were projected onto interval [0, 2.0].
| Data | LP/NLP.0 | RLP/NLP-ℒ₁.0 | RLP/NLP-ℒ₁/ℓ₂².0 | RLP/NLP-ℒ₂.0 | RLP/NLP-ℓ₁.0 | RLP/NLP-ℓ₂².0 | RLP/NLP-ℓ∞.0 | RLP/NLP-∇²ℒ.0 | virt. best | virt. worst |
|---|---|---|---|---|---|---|---|---|---|---|
| count | 118.00 | 118.00 | 118.00 | 118.00 | 118.00 | 118.00 | 118.00 | 118.00 | 118.00 | 118.00 |
| arith. mean | 0.21 | 0.25 | 0.24 | 0.22 | 0.20 | 0.18 | 0.23 | 0.19 | 0.18 | 0.27 |
| arith. std. | 0.57 | 0.66 | 0.64 | 0.59 | 0.53 | 0.50 | 0.62 | 0.51 | 0.50 | 0.68 |
| min | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 10.0% | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 25.0% | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 50.0% | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 75.0% | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 90.0% | 1.39 | 1.98 | 1.88 | 1.34 | 1.19 | 1.05 | 1.54 | 1.05 | 1.05 | 2.00 |
| max | 2.00 | 2.00 | 2.00 | 2.00 | 2.00 | 2.00 | 2.00 | 2.00 | 2.00 | 2.00 |
Attribute values were projected onto interval [0, 2.0].
| Data | LP/NLP.0 | RLP/NLP-ℒ₁.0 | RLP/NLP-ℒ₁/ℓ₂².0 | RLP/NLP-ℒ₂.0 | RLP/NLP-ℓ₁.0 | RLP/NLP-ℓ₂².0 | RLP/NLP-ℓ∞.0 | RLP/NLP-∇²ℒ.0 | virt. best | virt. worst |
|---|---|---|---|---|---|---|---|---|---|---|
| count | 93.00 | 93.00 | 93.00 | 93.00 | 93.00 | 93.00 | 93.00 | 93.00 | 93.00 | 93.00 |
| arith. mean | 0.27 | 0.32 | 0.31 | 0.28 | 0.25 | 0.23 | 0.30 | 0.24 | 0.23 | 0.34 |
| arith. std. | 0.63 | 0.73 | 0.71 | 0.65 | 0.58 | 0.55 | 0.69 | 0.56 | 0.55 | 0.75 |
| min | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 10.0% | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 25.0% | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 50.0% | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 75.0% | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 90.0% | 1.53 | 2.00 | 1.99 | 1.76 | 1.39 | 1.33 | 1.96 | 1.33 | 1.33 | 2.00 |
| max | 2.00 | 2.00 | 2.00 | 2.00 | 2.00 | 2.00 | 2.00 | 2.00 | 2.00 | 2.00 |
| Data | LP/NLP.0 | RLP/NLP-ℒ₁.0 | RLP/NLP-ℒ₁/ℓ₂².0 | RLP/NLP-ℒ₂.0 | RLP/NLP-ℓ₁.0 | RLP/NLP-ℓ₂².0 | RLP/NLP-ℓ∞.0 | RLP/NLP-∇²ℒ.0 | virt. best | virt. worst |
|---|---|---|---|---|---|---|---|---|---|---|
| count | 102 | 104 | 98 | 101 | 103 | 99 | 105 | 101 | 108 | 91 |
| Data | LP/NLP.0 | RLP/NLP-ℒ₁.0 | RLP/NLP-ℒ₁/ℓ₂².0 | RLP/NLP-ℒ₂.0 | RLP/NLP-ℓ₁.0 | RLP/NLP-ℓ₂².0 | RLP/NLP-ℓ∞.0 | RLP/NLP-∇²ℒ.0 | virt. best | virt. worst |
|---|---|---|---|---|---|---|---|---|---|---|
| count | 104 | 110 | 107 | 109 | 108 | 108 | 110 | 106 | 111 | 101 |
| Data | LP/NLP.0 | RLP/NLP-ℒ₁.0 | RLP/NLP-ℒ₁/ℓ₂².0 | RLP/NLP-ℒ₂.0 | RLP/NLP-ℓ₁.0 | RLP/NLP-ℓ₂².0 | RLP/NLP-ℓ∞.0 | RLP/NLP-∇²ℒ.0 | virt. best | virt. worst |
|---|---|---|---|---|---|---|---|---|---|---|
| count | 107 | 110 | 108 | 110 | 108 | 111 | 111 | 107 | 114 | 102 |
Attribute values were projected onto interval [0, 2.0].
| Data | LP/NLP.0 | RLP/NLP-ℒ₁.0 | RLP/NLP-ℒ₁/ℓ₂².0 | RLP/NLP-ℒ₂.0 | RLP/NLP-ℓ₁.0 | RLP/NLP-ℓ₂².0 | RLP/NLP-ℓ∞.0 | RLP/NLP-∇²ℒ.0 | virt. best | virt. worst |
|---|---|---|---|---|---|---|---|---|---|---|
| count | 116.00 | 116.00 | 116.00 | 116.00 | 116.00 | 116.00 | 116.00 | 116.00 | 116.00 | 116.00 |
| arith. mean | 0.04 | 0.08 | 0.07 | 0.05 | 0.00 | 0.00 | 0.05 | 0.00 | 0.00 | 0.09 |
| arith. std. | 0.20 | 0.28 | 0.25 | 0.22 | 0.01 | 0.02 | 0.19 | 0.01 | 0.00 | 0.30 |
| min | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 10.0% | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 25.0% | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 50.0% | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 75.0% | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 90.0% | 0.05 | 0.25 | 0.22 | 0.04 | 0.00 | 0.00 | 0.11 | 0.00 | 0.00 | 0.25 |
| max | 2.00 | 2.00 | 2.00 | 2.00 | 0.08 | 0.26 | 1.23 | 0.06 | 0.00 | 2.00 |
Attribute values were projected onto interval [0, 2.0].
| Data | LP/NLP.0 | RLP/NLP-ℒ₁.0 | RLP/NLP-ℒ₁/ℓ₂².0 | RLP/NLP-ℒ₂.0 | RLP/NLP-ℓ₁.0 | RLP/NLP-ℓ₂².0 | RLP/NLP-ℓ∞.0 | RLP/NLP-∇²ℒ.0 | virt. best | virt. worst |
|---|---|---|---|---|---|---|---|---|---|---|
| count | 91.00 | 91.00 | 91.00 | 91.00 | 91.00 | 91.00 | 91.00 | 91.00 | 91.00 | 91.00 |
| arith. mean | 0.05 | 0.11 | 0.09 | 0.06 | 0.00 | 0.00 | 0.07 | 0.00 | 0.00 | 0.12 |
| arith. std. | 0.22 | 0.32 | 0.28 | 0.25 | 0.01 | 0.03 | 0.22 | 0.01 | 0.00 | 0.34 |
| min | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 10.0% | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 25.0% | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 50.0% | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 75.0% | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 90.0% | 0.10 | 0.41 | 0.34 | 0.13 | 0.00 | 0.00 | 0.21 | 0.00 | 0.00 | 0.44 |
| max | 2.00 | 2.00 | 2.00 | 2.00 | 0.08 | 0.26 | 1.23 | 0.06 | 0.00 | 2.00 |
| Data | LP/NLP.0 | RLP/NLP-ℒ₁.0 | RLP/NLP-ℒ₁/ℓ₂².0 | RLP/NLP-ℒ₂.0 | RLP/NLP-ℓ₁.0 | RLP/NLP-ℓ₂².0 | RLP/NLP-ℓ∞.0 | RLP/NLP-∇²ℒ.0 | virt. best | virt. worst |
|---|---|---|---|---|---|---|---|---|---|---|
| count | 103 | 103 | 104 | 107 | 115 | 117 | 106 | 114 | 119 | 99 |
| Data | LP/NLP.0 | RLP/NLP-ℒ₁.0 | RLP/NLP-ℒ₁/ℓ₂².0 | RLP/NLP-ℒ₂.0 | RLP/NLP-ℓ₁.0 | RLP/NLP-ℓ₂².0 | RLP/NLP-ℓ∞.0 | RLP/NLP-∇²ℒ.0 | virt. best | virt. worst |
|---|---|---|---|---|---|---|---|---|---|---|
| count | 104 | 103 | 104 | 107 | 117 | 118 | 106 | 115 | 120 | 100 |
| Data | LP/NLP.0 | RLP/NLP-ℒ₁.0 | RLP/NLP-ℒ₁/ℓ₂².0 | RLP/NLP-ℒ₂.0 | RLP/NLP-ℓ₁.0 | RLP/NLP-ℓ₂².0 | RLP/NLP-ℓ∞.0 | RLP/NLP-∇²ℒ.0 | virt. best | virt. worst |
|---|---|---|---|---|---|---|---|---|---|---|
| count | 111 | 105 | 105 | 110 | 120 | 119 | 109 | 118 | 123 | 102 |
Attribute values were projected onto interval [0, 2.0].
| Data | LP/NLP.0 | RLP/NLP-ℒ₁.0 | RLP/NLP-ℒ₁/ℓ₂².0 | RLP/NLP-ℒ₂.0 | RLP/NLP-ℓ₁.0 | RLP/NLP-ℓ₂².0 | RLP/NLP-ℓ∞.0 | RLP/NLP-∇²ℒ.0 | virt. best | virt. worst |
|---|---|---|---|---|---|---|---|---|---|---|
| count | 116.00 | 116.00 | 116.00 | 116.00 | 116.00 | 116.00 | 116.00 | 116.00 | 116.00 | 116.00 |
| arith. mean | 0.17 | 0.17 | 0.17 | 0.17 | 0.19 | 0.17 | 0.17 | 0.17 | 0.17 | 0.19 |
| arith. std. | 0.48 | 0.48 | 0.48 | 0.48 | 0.51 | 0.48 | 0.48 | 0.48 | 0.48 | 0.51 |
| min | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 10.0% | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 25.0% | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 50.0% | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 75.0% | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 90.0% | 0.99 | 0.99 | 0.99 | 0.99 | 1.07 | 0.99 | 0.99 | 0.99 | 0.99 | 1.08 |
| max | 2.00 | 2.00 | 2.00 | 2.00 | 2.00 | 2.00 | 2.00 | 2.00 | 2.00 | 2.00 |
Attribute values were projected onto interval [0, 2.0].
| Data | LP/NLP.0 | RLP/NLP-ℒ₁.0 | RLP/NLP-ℒ₁/ℓ₂².0 | RLP/NLP-ℒ₂.0 | RLP/NLP-ℓ₁.0 | RLP/NLP-ℓ₂².0 | RLP/NLP-ℓ∞.0 | RLP/NLP-∇²ℒ.0 | virt. best | virt. worst |
|---|---|---|---|---|---|---|---|---|---|---|
| count | 91.00 | 91.00 | 91.00 | 91.00 | 91.00 | 91.00 | 91.00 | 91.00 | 91.00 | 91.00 |
| arith. mean | 0.22 | 0.22 | 0.22 | 0.22 | 0.24 | 0.22 | 0.22 | 0.22 | 0.22 | 0.24 |
| arith. std. | 0.53 | 0.53 | 0.53 | 0.53 | 0.56 | 0.53 | 0.53 | 0.53 | 0.53 | 0.56 |
| min | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 10.0% | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 25.0% | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 50.0% | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 75.0% | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 90.0% | 1.32 | 1.32 | 1.32 | 1.32 | 1.33 | 1.32 | 1.32 | 1.32 | 1.32 | 1.33 |
| max | 2.00 | 2.00 | 2.00 | 2.00 | 2.00 | 2.00 | 2.00 | 2.00 | 2.00 | 2.00 |
| Data | LP/NLP.0 | RLP/NLP-ℒ₁.0 | RLP/NLP-ℒ₁/ℓ₂².0 | RLP/NLP-ℒ₂.0 | RLP/NLP-ℓ₁.0 | RLP/NLP-ℓ₂².0 | RLP/NLP-ℓ∞.0 | RLP/NLP-∇²ℒ.0 | virt. best | virt. worst |
|---|---|---|---|---|---|---|---|---|---|---|
| count | 101 | 100 | 95 | 98 | 100 | 95 | 101 | 97 | 104 | 90 |
| Data | LP/NLP.0 | RLP/NLP-ℒ₁.0 | RLP/NLP-ℒ₁/ℓ₂².0 | RLP/NLP-ℒ₂.0 | RLP/NLP-ℓ₁.0 | RLP/NLP-ℓ₂².0 | RLP/NLP-ℓ∞.0 | RLP/NLP-∇²ℒ.0 | virt. best | virt. worst |
|---|---|---|---|---|---|---|---|---|---|---|
| count | 103 | 105 | 104 | 105 | 105 | 104 | 106 | 102 | 106 | 101 |
| Data | LP/NLP.0 | RLP/NLP-ℒ₁.0 | RLP/NLP-ℒ₁/ℓ₂².0 | RLP/NLP-ℒ₂.0 | RLP/NLP-ℓ₁.0 | RLP/NLP-ℓ₂².0 | RLP/NLP-ℓ∞.0 | RLP/NLP-∇²ℒ.0 | virt. best | virt. worst |
|---|---|---|---|---|---|---|---|---|---|---|
| count | 107 | 105 | 105 | 106 | 109 | 109 | 110 | 103 | 110 | 101 |
| Data | LP/NLP.0 | RLP/NLP-ℒ₁.0 | RLP/NLP-ℒ₁/ℓ₂².0 | RLP/NLP-ℒ₂.0 | RLP/NLP-ℓ₁.0 | RLP/NLP-ℓ₂².0 | RLP/NLP-ℓ∞.0 | RLP/NLP-∇²ℒ.0 | virt. best | virt. worst |
|---|---|---|---|---|---|---|---|---|---|---|
| count | 118 | 118 | 118 | 118 | 118 | 118 | 118 | 118 | 118 | 118 |
Performance with respect to virt. best:
Tolerance:
relative 0.1
| Data | LP/NLP.0 | RLP/NLP-ℒ₁.0 | RLP/NLP-ℒ₁/ℓ₂².0 | RLP/NLP-ℒ₂.0 | RLP/NLP-ℓ₁.0 | RLP/NLP-ℓ₂².0 | RLP/NLP-ℓ∞.0 | RLP/NLP-∇²ℒ.0 | virt. worst |
|---|---|---|---|---|---|---|---|---|---|
| count | 118 | 118 | 118 | 118 | 118 | 118 | 118 | 118 | 118 |
| better | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| close | 108 | 103 | 103 | 107 | 118 | 117 | 105 | 118 | 103 |
| worse | 10 | 15 | 15 | 11 | 0 | 1 | 13 | 0 | 15 |
| Data | LP/NLP.0 | RLP/NLP-ℒ₁.0 | RLP/NLP-ℒ₁/ℓ₂².0 | RLP/NLP-ℒ₂.0 | RLP/NLP-ℓ₁.0 | RLP/NLP-ℓ₂².0 | RLP/NLP-ℓ∞.0 | RLP/NLP-∇²ℒ.0 | virt. best | virt. worst |
|---|---|---|---|---|---|---|---|---|---|---|
| count | 93 | 93 | 93 | 93 | 93 | 93 | 93 | 93 | 93 | 93 |
Performance with respect to virt. best:
Tolerance:
relative 0.1
| Data | LP/NLP.0 | RLP/NLP-ℒ₁.0 | RLP/NLP-ℒ₁/ℓ₂².0 | RLP/NLP-ℒ₂.0 | RLP/NLP-ℓ₁.0 | RLP/NLP-ℓ₂².0 | RLP/NLP-ℓ∞.0 | RLP/NLP-∇²ℒ.0 | virt. worst |
|---|---|---|---|---|---|---|---|---|---|
| count | 93 | 93 | 93 | 93 | 93 | 93 | 93 | 93 | 93 |
| better | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| close | 83 | 78 | 78 | 82 | 93 | 92 | 80 | 93 | 78 |
| worse | 10 | 15 | 15 | 11 | 0 | 1 | 13 | 0 | 15 |
| Data | LP/NLP.0 | RLP/NLP-ℒ₁.0 | RLP/NLP-ℒ₁/ℓ₂².0 | RLP/NLP-ℒ₂.0 | RLP/NLP-ℓ₁.0 | RLP/NLP-ℓ₂².0 | RLP/NLP-ℓ∞.0 | RLP/NLP-∇²ℒ.0 | virt. best | virt. worst |
|---|---|---|---|---|---|---|---|---|---|---|
| count | 118 | 118 | 118 | 118 | 118 | 118 | 118 | 118 | 118 | 118 |
Performance with respect to virt. best:
Tolerance:
relative 0.1
| Data | LP/NLP.0 | RLP/NLP-ℒ₁.0 | RLP/NLP-ℒ₁/ℓ₂².0 | RLP/NLP-ℒ₂.0 | RLP/NLP-ℓ₁.0 | RLP/NLP-ℓ₂².0 | RLP/NLP-ℓ∞.0 | RLP/NLP-∇²ℒ.0 | virt. worst |
|---|---|---|---|---|---|---|---|---|---|
| count | 118 | 118 | 118 | 118 | 118 | 118 | 118 | 118 | 118 |
| better | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| close | 118 | 118 | 118 | 118 | 117 | 118 | 118 | 117 | 117 |
| worse | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 |
| Data | LP/NLP.0 | RLP/NLP-ℒ₁.0 | RLP/NLP-ℒ₁/ℓ₂².0 | RLP/NLP-ℒ₂.0 | RLP/NLP-ℓ₁.0 | RLP/NLP-ℓ₂².0 | RLP/NLP-ℓ∞.0 | RLP/NLP-∇²ℒ.0 | virt. best | virt. worst |
|---|---|---|---|---|---|---|---|---|---|---|
| count | 93 | 93 | 93 | 93 | 93 | 93 | 93 | 93 | 93 | 93 |
Performance with respect to virt. best:
Tolerance:
relative 0.1
| Data | LP/NLP.0 | RLP/NLP-ℒ₁.0 | RLP/NLP-ℒ₁/ℓ₂².0 | RLP/NLP-ℒ₂.0 | RLP/NLP-ℓ₁.0 | RLP/NLP-ℓ₂².0 | RLP/NLP-ℓ∞.0 | RLP/NLP-∇²ℒ.0 | virt. worst |
|---|---|---|---|---|---|---|---|---|---|
| count | 93 | 93 | 93 | 93 | 93 | 93 | 93 | 93 | 93 |
| better | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| close | 93 | 93 | 93 | 93 | 92 | 93 | 93 | 92 | 92 |
| worse | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 |