PageBlocks (9% of outliers)
The data set contains information about different types of blocks in document pages. The task of distinguishing them is an essential step in document analysis, namely to separate text from pictures or graphics. If the block content is text, it was labeled here as inlier, otherwise it was labeled as outlier.
Download all data set variants used (14.6 MB). You can also access the original data. (page-blocks.data.Z)
Normalized, without duplicates
This version contains 10 attributes, 5393 objects, 510 outliers (9.46%)
Download raw algorithm results (45.6 MB) Download raw algorithm evaluation table (75.1 kB)
Best Parameters
The following table contains the best
(overall and per-method)
results for each method and evaluation measure (when the same score was achieved twice, only the smallest k is given).
The Maximum F1-Measure is complimentary in addition to the measures in the original publication.
Algorithm | k | P@n | Adj. P@n | AP | Adj. AP | Max-F1 | Adj. MF1 | ROC AUC |
---|---|---|---|---|---|---|---|---|
KNN | 99 | 0.47255 | 0.41746 | 0.50974 | 0.45854 | 0.50594 | 0.45434 | 0.88387 |
KNN | 100 | 0.47255 | 0.41746 | 0.50991 | 0.45872 | 0.50601 | 0.45441 | 0.88392 |
KNNW | 59 | 0.44314 | 0.38498 | 0.47188 | 0.41673 | 0.45966 | 0.40322 | 0.85745 |
KNNW | 75 | 0.44706 | 0.38931 | 0.48240 | 0.42834 | 0.45741 | 0.40074 | 0.86797 |
KNNW | 100 | 0.43529 | 0.37631 | 0.49202 | 0.43897 | 0.45307 | 0.39595 | 0.87602 |
LOF | 99 | 0.47255 | 0.41746 | 0.43494 | 0.37592 | 0.47676 | 0.42211 | 0.79429 |
LOF | 100 | 0.47451 | 0.41963 | 0.43479 | 0.37576 | 0.47732 | 0.42273 | 0.79449 |
SimplifiedLOF | 58 | 0.46275 | 0.40663 | 0.41603 | 0.35503 | 0.46391 | 0.40792 | 0.77314 |
SimplifiedLOF | 88 | 0.45294 | 0.39580 | 0.43433 | 0.37525 | 0.47285 | 0.41779 | 0.78306 |
SimplifiedLOF | 99 | 0.45490 | 0.39797 | 0.43627 | 0.37739 | 0.47685 | 0.42221 | 0.78223 |
LoOP | 78 | 0.43725 | 0.37848 | 0.39330 | 0.32993 | 0.44068 | 0.38226 | 0.77006 |
LoOP | 96 | 0.43333 | 0.37415 | 0.40396 | 0.34171 | 0.44324 | 0.38509 | 0.77258 |
LoOP | 99 | 0.43137 | 0.37198 | 0.40472 | 0.34254 | 0.44244 | 0.38420 | 0.77409 |
LDOF | 94 | 0.46863 | 0.41313 | 0.44480 | 0.38681 | 0.47476 | 0.41990 | 0.85946 |
LDOF | 100 | 0.46667 | 0.41096 | 0.45012 | 0.39269 | 0.47686 | 0.42222 | 0.86263 |
ODIN | 89 | 0.44695 | 0.38919 | 0.37417 | 0.30881 | 0.45464 | 0.39768 | 0.76272 |
ODIN | 97 | 0.45190 | 0.39465 | 0.38286 | 0.31841 | 0.45247 | 0.39529 | 0.76347 |
ODIN | 100 | 0.44734 | 0.38962 | 0.38685 | 0.32281 | 0.45369 | 0.39663 | 0.76441 |
FastABOD | 26 | 0.33333 | 0.26370 | 0.34121 | 0.27241 | 0.36010 | 0.29327 | 0.69240 |
FastABOD | 27 | 0.33725 | 0.26804 | 0.34116 | 0.27235 | 0.36132 | 0.29462 | 0.69244 |
FastABOD | 28 | 0.33529 | 0.26587 | 0.34112 | 0.27231 | 0.36149 | 0.29480 | 0.69250 |
FastABOD | 40 | 0.33333 | 0.26370 | 0.34053 | 0.27165 | 0.36570 | 0.29945 | 0.69210 |
KDEOS | 92 | 0.19804 | 0.11428 | 0.17942 | 0.09372 | 0.27904 | 0.20374 | 0.69111 |
KDEOS | 94 | 0.20588 | 0.12294 | 0.17916 | 0.09342 | 0.28175 | 0.20673 | 0.69165 |
KDEOS | 97 | 0.19216 | 0.10778 | 0.17881 | 0.09305 | 0.28384 | 0.20904 | 0.69277 |
KDEOS | 98 | 0.19804 | 0.11428 | 0.17877 | 0.09300 | 0.28234 | 0.20739 | 0.69325 |
LDF | 58 | 0.46863 | 0.41313 | 0.46427 | 0.40832 | 0.47276 | 0.41770 | 0.77672 |
LDF | 69 | 0.47451 | 0.41963 | 0.45998 | 0.40357 | 0.47498 | 0.42014 | 0.77759 |
LDF | 100 | 0.47255 | 0.41746 | 0.45456 | 0.39759 | 0.48131 | 0.42714 | 0.80309 |
INFLO | 94 | 0.44118 | 0.38281 | 0.38868 | 0.32483 | 0.44534 | 0.38741 | 0.75200 |
INFLO | 100 | 0.43529 | 0.37631 | 0.39101 | 0.32741 | 0.44068 | 0.38226 | 0.75656 |
COF | 73 | 0.43333 | 0.37415 | 0.40999 | 0.34837 | 0.43933 | 0.38077 | 0.73823 |
COF | 76 | 0.43529 | 0.37631 | 0.41137 | 0.34990 | 0.44093 | 0.38254 | 0.73660 |
COF | 77 | 0.43529 | 0.37631 | 0.41317 | 0.35187 | 0.44397 | 0.38590 | 0.73730 |
COF | 82 | 0.43529 | 0.37631 | 0.41422 | 0.35303 | 0.43797 | 0.37927 | 0.73652 |
Plots
Not normalized, without duplicates
This version contains 10 attributes, 5393 objects, 510 outliers (9.46%)
Download raw algorithm results (46.9 MB) Download raw algorithm evaluation table (75.2 kB)
Best Parameters
The following table contains the best
(overall and per-method)
results for each method and evaluation measure (when the same score was achieved twice, only the smallest k is given).
The Maximum F1-Measure is complimentary in addition to the measures in the original publication.
Algorithm | k | P@n | Adj. P@n | AP | Adj. AP | Max-F1 | Adj. MF1 | ROC AUC |
---|---|---|---|---|---|---|---|---|
KNN | 4 | 0.20588 | 0.12294 | 0.21554 | 0.13361 | 0.21644 | 0.13460 | 0.55609 |
KNN | 27 | 0.21373 | 0.13160 | 0.21458 | 0.13255 | 0.24636 | 0.16765 | 0.59270 |
KNN | 31 | 0.23922 | 0.15976 | 0.21421 | 0.13214 | 0.24548 | 0.16668 | 0.59341 |
KNN | 64 | 0.22549 | 0.14460 | 0.20753 | 0.12476 | 0.23679 | 0.15708 | 0.59608 |
KNNW | 16 | 0.21961 | 0.13810 | 0.21408 | 0.13199 | 0.22378 | 0.14270 | 0.56913 |
KNNW | 37 | 0.20784 | 0.12511 | 0.21467 | 0.13264 | 0.24185 | 0.16266 | 0.58572 |
KNNW | 50 | 0.20196 | 0.11861 | 0.21405 | 0.13197 | 0.24592 | 0.16716 | 0.58906 |
KNNW | 100 | 0.20000 | 0.11644 | 0.20903 | 0.12642 | 0.24022 | 0.16086 | 0.59328 |
LOF | 100 | 0.55490 | 0.50841 | 0.57464 | 0.53021 | 0.56410 | 0.51858 | 0.90368 |
SimplifiedLOF | 95 | 0.54510 | 0.49759 | 0.53491 | 0.48633 | 0.54691 | 0.49958 | 0.86643 |
SimplifiedLOF | 99 | 0.54314 | 0.49542 | 0.53717 | 0.48883 | 0.55000 | 0.50300 | 0.87074 |
SimplifiedLOF | 100 | 0.54314 | 0.49542 | 0.53809 | 0.48985 | 0.54934 | 0.50227 | 0.87188 |
LoOP | 91 | 0.50196 | 0.44994 | 0.50831 | 0.45696 | 0.50669 | 0.45517 | 0.84183 |
LoOP | 99 | 0.49804 | 0.44561 | 0.51859 | 0.46831 | 0.51316 | 0.46231 | 0.85150 |
LoOP | 100 | 0.49608 | 0.44345 | 0.51979 | 0.46963 | 0.51209 | 0.46113 | 0.85288 |
LDOF | 97 | 0.45490 | 0.39797 | 0.48061 | 0.42636 | 0.47081 | 0.41554 | 0.83705 |
LDOF | 100 | 0.46275 | 0.40663 | 0.48355 | 0.42961 | 0.46887 | 0.41340 | 0.84114 |
ODIN | 99 | 0.43062 | 0.37115 | 0.39948 | 0.33676 | 0.43259 | 0.37333 | 0.83636 |
ODIN | 100 | 0.43024 | 0.37073 | 0.40129 | 0.33876 | 0.43090 | 0.37146 | 0.83729 |
FastABOD | 3 | 0.17647 | 0.09046 | 0.17999 | 0.09435 | 0.18547 | 0.10040 | 0.45964 |
FastABOD | 4 | 0.17059 | 0.08396 | 0.18009 | 0.09446 | 0.18598 | 0.10096 | 0.45716 |
FastABOD | 12 | 0.16471 | 0.07746 | 0.18065 | 0.09507 | 0.18373 | 0.09848 | 0.45748 |
KDEOS | 97 | 0.14510 | 0.05581 | 0.13982 | 0.04998 | 0.25129 | 0.17310 | 0.67102 |
KDEOS | 99 | 0.14314 | 0.05364 | 0.14056 | 0.05080 | 0.25248 | 0.17441 | 0.67258 |
KDEOS | 100 | 0.14118 | 0.05148 | 0.14115 | 0.05145 | 0.25205 | 0.17393 | 0.67392 |
LDF | 81 | 0.58824 | 0.54523 | 0.59752 | 0.55549 | 0.62138 | 0.58183 | 0.90477 |
LDF | 87 | 0.60980 | 0.56905 | 0.60002 | 0.55825 | 0.62534 | 0.58621 | 0.90474 |
LDF | 100 | 0.63137 | 0.59287 | 0.59913 | 0.55726 | 0.63541 | 0.59733 | 0.90219 |
INFLO | 98 | 0.51961 | 0.46943 | 0.51605 | 0.46551 | 0.52805 | 0.47876 | 0.83277 |
INFLO | 99 | 0.51765 | 0.46727 | 0.51689 | 0.46643 | 0.53025 | 0.48119 | 0.83274 |
INFLO | 100 | 0.52157 | 0.47160 | 0.51734 | 0.46693 | 0.52802 | 0.47872 | 0.83250 |
COF | 100 | 0.52549 | 0.47593 | 0.51595 | 0.46539 | 0.53044 | 0.48140 | 0.79838 |