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 | 405.00 | 405.00 | 405.00 | 405.00 | 405.00 | 405.00 | 405.00 | 405.00 | 405.00 | 405.00 |
| arith. mean | 0.07 | 0.12 | 0.14 | 0.14 | 0.10 | 0.13 | 0.12 | 0.15 | 0.06 | 0.20 |
| arith. std. | 0.34 | 0.44 | 0.47 | 0.45 | 0.38 | 0.42 | 0.42 | 0.44 | 0.30 | 0.54 |
| 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 | 0.01 |
| 90.0% | 0.00 | 0.06 | 0.23 | 0.22 | 0.07 | 0.31 | 0.03 | 0.48 | 0.00 | 0.75 |
| 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 | 320.00 | 320.00 | 320.00 | 320.00 | 320.00 | 320.00 | 320.00 | 320.00 | 320.00 | 320.00 |
| arith. mean | 0.09 | 0.15 | 0.18 | 0.18 | 0.13 | 0.16 | 0.15 | 0.19 | 0.08 | 0.25 |
| arith. std. | 0.38 | 0.49 | 0.53 | 0.49 | 0.42 | 0.46 | 0.47 | 0.48 | 0.33 | 0.59 |
| 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 | 0.01 | 0.00 | 0.03 |
| 90.0% | 0.00 | 0.37 | 0.63 | 0.66 | 0.35 | 0.47 | 0.32 | 0.77 | 0.00 | 1.16 |
| 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 | 380 | 363 | 329 | 322 | 362 | 329 | 362 | 320 | 393 | 284 |
| 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 | 383 | 372 | 355 | 349 | 374 | 351 | 373 | 337 | 396 | 311 |
| 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 | 392 | 378 | 367 | 367 | 380 | 375 | 378 | 359 | 404 | 335 |
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 | 341.00 | 341.00 | 341.00 | 341.00 | 341.00 | 341.00 | 341.00 | 341.00 | 341.00 | 341.00 |
| arith. mean | 0.01 | 0.04 | 0.03 | 0.03 | 0.01 | 0.01 | 0.03 | 0.02 | 0.00 | 0.06 |
| arith. std. | 0.12 | 0.20 | 0.16 | 0.17 | 0.07 | 0.10 | 0.14 | 0.09 | 0.00 | 0.23 |
| 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% | 0.00 | 0.00 | 0.00 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.12 |
| max | 2.00 | 2.00 | 2.00 | 2.00 | 0.98 | 1.29 | 1.23 | 0.82 | 0.04 | 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 | 257.00 | 257.00 | 257.00 | 257.00 | 257.00 | 257.00 | 257.00 | 257.00 | 257.00 | 257.00 |
| arith. mean | 0.02 | 0.05 | 0.04 | 0.04 | 0.01 | 0.02 | 0.04 | 0.02 | 0.00 | 0.08 |
| arith. std. | 0.13 | 0.22 | 0.19 | 0.19 | 0.08 | 0.12 | 0.16 | 0.10 | 0.00 | 0.27 |
| 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% | 0.00 | 0.01 | 0.07 | 0.04 | 0.00 | 0.00 | 0.00 | 0.01 | 0.00 | 0.22 |
| max | 2.00 | 2.00 | 2.00 | 2.00 | 0.98 | 1.29 | 1.23 | 0.82 | 0.04 | 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 | 327 | 319 | 310 | 309 | 334 | 323 | 322 | 312 | 351 | 283 |
| 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 | 332 | 320 | 314 | 315 | 341 | 334 | 326 | 320 | 354 | 288 |
| 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 | 342 | 330 | 323 | 330 | 347 | 342 | 333 | 333 | 358 | 302 |
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 | 341.00 | 341.00 | 341.00 | 341.00 | 341.00 | 341.00 | 341.00 | 341.00 | 341.00 | 341.00 |
| arith. mean | 0.06 | 0.08 | 0.09 | 0.09 | 0.08 | 0.09 | 0.07 | 0.11 | 0.06 | 0.13 |
| arith. std. | 0.29 | 0.31 | 0.33 | 0.33 | 0.33 | 0.34 | 0.30 | 0.35 | 0.29 | 0.38 |
| 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% | 0.00 | 0.00 | 0.04 | 0.09 | 0.00 | 0.08 | 0.00 | 0.27 | 0.00 | 0.38 |
| 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 | 257.00 | 257.00 | 257.00 | 257.00 | 257.00 | 257.00 | 257.00 | 257.00 | 257.00 | 257.00 |
| arith. mean | 0.08 | 0.10 | 0.12 | 0.13 | 0.11 | 0.12 | 0.10 | 0.14 | 0.08 | 0.17 |
| arith. std. | 0.33 | 0.36 | 0.37 | 0.38 | 0.38 | 0.39 | 0.34 | 0.39 | 0.33 | 0.43 |
| 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 | 0.01 |
| 90.0% | 0.00 | 0.14 | 0.33 | 0.35 | 0.12 | 0.31 | 0.10 | 0.61 | 0.00 | 0.70 |
| 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 | 325 | 310 | 288 | 288 | 313 | 285 | 311 | 281 | 333 | 259 |
| 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 | 327 | 316 | 305 | 302 | 320 | 301 | 318 | 292 | 335 | 278 |
| 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 | 336 | 321 | 316 | 316 | 329 | 322 | 327 | 307 | 342 | 294 |
| 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 | 405 | 405 | 405 | 405 | 405 | 405 | 405 | 405 | 405 | 405 |
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 | 405 | 405 | 405 | 405 | 405 | 405 | 405 | 405 | 405 |
| better | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| close | 395 | 383 | 373 | 376 | 399 | 389 | 382 | 384 | 357 |
| worse | 10 | 22 | 32 | 29 | 6 | 16 | 23 | 21 | 48 |
| 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 | 320 | 320 | 320 | 320 | 320 | 320 | 320 | 320 | 320 | 320 |
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 | 320 | 320 | 320 | 320 | 320 | 320 | 320 | 320 | 320 |
| better | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| close | 310 | 298 | 288 | 291 | 314 | 304 | 297 | 299 | 272 |
| worse | 10 | 22 | 32 | 29 | 6 | 16 | 23 | 21 | 48 |
| 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 | 405 | 405 | 405 | 405 | 405 | 405 | 405 | 405 | 405 | 405 |
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 | 405 | 405 | 405 | 405 | 405 | 405 | 405 | 405 | 405 |
| better | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| close | 405 | 384 | 380 | 376 | 383 | 375 | 384 | 370 | 361 |
| worse | 0 | 21 | 25 | 29 | 22 | 30 | 21 | 35 | 44 |
| 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 | 320 | 320 | 320 | 320 | 320 | 320 | 320 | 320 | 320 | 320 |
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 | 320 | 320 | 320 | 320 | 320 | 320 | 320 | 320 | 320 |
| better | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| close | 320 | 299 | 295 | 291 | 298 | 290 | 299 | 285 | 276 |
| worse | 0 | 21 | 25 | 29 | 22 | 30 | 21 | 35 | 44 |