Usage Statistics for archive.ics.uci.edu

Summary Period: March 2015
Generated 01-Apr-2015 06:23 PDT

[Daily Statistics] [Hourly Statistics] [URLs] [Entry] [Exit] [Sites] [Referrers] [Search] [Users] [Agents] [Countries]

Monthly Statistics for March 2015
Total Hits 8046453
Total Files 7306085
Total Pages 1659017
Total Visits 205880
Total KBytes 22629156716
Total Unique Sites 129226
Total Unique URLs 8337
Total Unique Referrers 9401
Total Unique Usernames 2
Total Unique User Agents 9429
. Avg Max
Hits per Hour 10815 55464
Hits per Day 259563 479850
Files per Day 235680 443174
Pages per Day 53516 108678
Sites per Day 4168 8261
Visits per Day 6641 8478
KBytes per Day 729972797 3928683400
Hits by Response Code
Code 200 - OK 90.80% 7306085
Code 206 - Partial Content 1.82% 146335
Code 301 - Moved Permanently 0.55% 44415
Code 302 - Found 0.07% 5312
Code 304 - Not Modified 2.46% 198237
Code 400 - Bad Request 0.00% 27
Code 403 - Forbidden 0.00% 87
Code 404 - Not Found 4.28% 344155
Code 405 - Method Not Allowed 0.02% 1720
Code 406 - Not Acceptable 0.00% 25
Code 416 - Requested Range Not Satisfiable 0.00% 48
Code 500 - Internal Server Error 0.00% 7

Daily usage for March 2015

Daily Statistics for March 2015
Day Hits Files Pages Visits Sites KBytes
1 381671 4.74% 353288 4.84% 67832 4.09% 5287 2.57% 5890 4.56% 387956338 1.71%
2 479850 5.96% 443174 6.07% 88738 5.35% 7176 3.49% 7617 5.89% 579842174 2.56%
3 339231 4.22% 317303 4.34% 108678 6.55% 7537 3.66% 7731 5.98% 340517024 1.50%
4 291895 3.63% 268781 3.68% 60528 3.65% 7474 3.63% 7554 5.85% 3928683400 17.36%
5 280342 3.48% 250264 3.43% 85299 5.14% 7178 3.49% 7034 5.44% 3107216224 13.73%
6 219641 2.73% 188368 2.58% 63927 3.85% 5683 2.76% 6213 4.81% 663648950 2.93%
7 161895 2.01% 147482 2.02% 30261 1.82% 4814 2.34% 5485 4.24% 163470928 0.72%
8 183683 2.28% 167968 2.30% 29489 1.78% 5611 2.73% 6348 4.91% 151808370 0.67%
9 267974 3.33% 245461 3.36% 40270 2.43% 7475 3.63% 8032 6.22% 505202544 2.23%
10 269436 3.35% 248690 3.40% 42248 2.55% 7326 3.56% 7708 5.96% 253056466 1.12%
11 255483 3.18% 236674 3.24% 43560 2.63% 7154 3.47% 7552 5.84% 303242647 1.34%
12 237749 2.95% 217329 2.97% 42445 2.56% 6925 3.36% 7150 5.53% 251743555 1.11%
13 205384 2.55% 186751 2.56% 39185 2.36% 6094 2.96% 6405 4.96% 146661732 0.65%
14 167370 2.08% 152667 2.09% 32165 1.94% 4853 2.36% 5166 4.00% 546544269 2.42%
15 198896 2.47% 177611 2.43% 35799 2.16% 5974 2.90% 6254 4.84% 1381652810 6.11%
16 336651 4.18% 302926 4.15% 87949 5.30% 8478 4.12% 7855 6.08% 451564100 2.00%
17 273285 3.40% 248642 3.40% 56653 3.41% 7146 3.47% 7391 5.72% 308815429 1.36%
18 267029 3.32% 244674 3.35% 43667 2.63% 7499 3.64% 7684 5.95% 238580589 1.05%
19 247402 3.07% 220326 3.02% 39628 2.39% 7136 3.47% 7456 5.77% 564147357 2.49%
20 203263 2.53% 185220 2.54% 36047 2.17% 6206 3.01% 6452 4.99% 352070415 1.56%
21 160506 1.99% 147726 2.02% 31648 1.91% 5623 2.73% 5630 4.36% 210136320 0.93%
22 222538 2.77% 206337 2.82% 58660 3.54% 6680 3.24% 6769 5.24% 167944962 0.74%
23 316619 3.93% 289431 3.96% 72741 4.38% 7737 3.76% 7991 6.18% 542040780 2.40%
24 306934 3.81% 282976 3.87% 66256 3.99% 7586 3.68% 7848 6.07% 1355098404 5.99%
25 297936 3.70% 271060 3.71% 66570 4.01% 7258 3.53% 7540 5.83% 402152137 1.78%
26 272151 3.38% 250205 3.42% 61379 3.70% 6839 3.32% 7196 5.57% 185933189 0.82%
27 234881 2.92% 186374 2.55% 43385 2.62% 5644 2.74% 6132 4.75% 568843502 2.51%
28 153489 1.91% 135749 1.86% 32894 1.98% 4476 2.17% 4875 3.77% 163770822 0.72%
29 210570 2.62% 188441 2.58% 40678 2.45% 6017 2.92% 6495 5.03% 207527687 0.92%
30 290380 3.61% 258366 3.54% 50599 3.05% 7915 3.84% 8261 6.39% 3512358500 15.52%
31 312319 3.88% 285821 3.91% 59839 3.61% 8210 3.99% 8220 6.36% 686925093 3.04%

Hourly usage for March 2015

Hourly Statistics for March 2015
Hour Hits Files Pages KBytes
Avg Total Avg Total Avg Total Avg Total
0 12437 385550 4.79% 11022 341704 4.68% 2941 91186 5.50% 72667439 2252690607 9.95%
1 13454 417096 5.18% 12034 373064 5.11% 3045 94412 5.69% 66979018 2076349548 9.18%
2 12413 384823 4.78% 11279 349667 4.79% 2689 83361 5.02% 68388316 2120037793 9.37%
3 11064 343013 4.26% 9976 309272 4.23% 2212 68578 4.13% 43764864 1356710796 6.00%
4 11196 347089 4.31% 10089 312769 4.28% 2196 68087 4.10% 22706174 703891408 3.11%
5 11915 369370 4.59% 10684 331223 4.53% 2368 73408 4.42% 12675583 392943084 1.74%
6 13509 418781 5.20% 12142 376410 5.15% 2687 83307 5.02% 21273778 659487116 2.91%
7 13130 407060 5.06% 11984 371512 5.08% 2482 76950 4.64% 11517989 357057668 1.58%
8 13712 425102 5.28% 12578 389948 5.34% 2701 83758 5.05% 27767468 860791516 3.80%
9 12405 384574 4.78% 11539 357719 4.90% 2471 76609 4.62% 31188415 966840876 4.27%
10 11792 365562 4.54% 10909 338197 4.63% 2184 67733 4.08% 18897190 585812895 2.59%
11 11464 355398 4.42% 10564 327511 4.48% 2115 65573 3.95% 16563217 513459741 2.27%
12 10668 330717 4.11% 9889 306570 4.20% 2093 64896 3.91% 8947228 277364070 1.23%
13 9489 294171 3.66% 8796 272677 3.73% 1779 55163 3.33% 10529027 326399824 1.44%
14 8489 263163 3.27% 7822 242488 3.32% 1692 52475 3.16% 6283937 194802054 0.86%
15 7474 231710 2.88% 6878 213220 2.92% 1607 49817 3.00% 5526157 171310860 0.76%
16 6959 215729 2.68% 6408 198649 2.72% 1592 49367 2.98% 5521746 171174140 0.76%
17 7722 239396 2.98% 6923 214616 2.94% 1541 47789 2.88% 15304750 474447238 2.10%
18 8574 265815 3.30% 7551 234104 3.20% 1879 58251 3.51% 44416036 1376897108 6.08%
19 11382 352868 4.39% 10265 318239 4.36% 2367 73396 4.42% 55864477 1731798796 7.65%
20 9339 289521 3.60% 8403 260506 3.57% 2132 66094 3.98% 57031693 1767982473 7.81%
21 9229 286123 3.56% 8383 259879 3.56% 2186 67795 4.09% 33206061 1029387900 4.55%
22 10375 321631 4.00% 9384 290916 3.98% 2225 69005 4.16% 21925626 679694408 3.00%
23 11361 352191 4.38% 10168 315225 4.31% 2322 72007 4.34% 51026606 1581824795 6.99%

Top 100 of 8337 Total URLs
# Hits KBytes URL
1 576965 7.17% 32966319 0.15% /ml/datasets.html
2 114737 1.43% 2104322 0.01% /ml/
3 100625 1.25% 1328592 0.01% /ml//datasets.html
4 29395 0.37% 140723107 0.62% /ml/machine-learning-databases/00240/UCI HAR Dataset.zip
5 21434 0.27% 1664 0.00% /
6 17624 0.22% 1272716 0.01% /ml/datasets/Iris
7 15278 0.19% 897642 0.00% /ml/machine-learning-databases/
8 13129 0.16% 56625 0.00% /ml/machine-learning-databases/iris/iris.data
9 12523 0.16% 506020 0.00% /ml/datasets/Adult
10 10869 0.14% 112215 0.00% /ml/datasets/Human+Activity+Recognition+Using+Smartphones
11 10348 0.13% 34193542 0.15% /ml/machine-learning-databases/adult/adult.data
12 10208 0.13% 15857 0.00% /ml/machine-learning-databases/iris/
13 9272 0.12% 324092 0.00% /ml/datasets/Wine
14 8875 0.11% 469225 0.00% /ml/datasets/Heart+Disease
15 8544 0.11% 168588 0.00% /ml/datasets/Car+Evaluation
16 8069 0.10% 89523 0.00% /ml/datasets/Student+Performance
17 7748 0.10% 9658250329 42.68% /ml/machine-learning-databases/00280/HIGGS.csv.gz
18 7599 0.09% 1088195741 4.81% /ml/machine-learning-databases/00318/NoisyOffice.zip
19 7455 0.09% 18228 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/
20 7402 0.09% 13016 0.00% /ml/machine-learning-databases/adult/
21 7176 0.09% 356201 0.00% /ml/machine-learning-databases/car/car.data
22 6776 0.08% 5280333077 23.33% /ml/machine-learning-databases/00269/dir_data.tar
23 6737 0.08% 58332 0.00% /ml/datasets/Wine+Quality
24 6285 0.08% 245482 0.00% /ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)
25 6201 0.08% 174107 0.00% /ml/datasets/Abalone
26 6096 0.08% 63053 0.00% /ml/machine-learning-databases/wine/wine.data
27 6028 0.07% 83686094 0.37% /ml/machine-learning-databases/00235/household_power_consumption.zip
28 5993 0.07% 65479 0.00% /ml/datasets/Bank+Marketing
29 5983 0.07% 65494 0.00% /cs277/old.php
30 5600 0.07% 664620 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/wdbc.data
31 5515 0.07% 1268873175 5.61% /ml/machine-learning-databases/00251/WTD_upload.zip
32 5463 0.07% 57997119 0.26% /ml/machine-learning-databases/00206/slice_localization_data.zip
33 5380 0.07% 7268 0.00% /ml/machine-learning-databases/wine/
34 5235 0.07% 22122 0.00% /ml/machine-learning-databases/heart-disease/
35 4745 0.06% 6460 0.00% /ml/machine-learning-databases/car/
36 4634 0.06% 75750 0.00% /ml/datasets/Statlog+(German+Credit+Data)
37 4568 0.06% 13169 0.00% /ml/machine-learning-databases/iris/iris.names
38 4492 0.06% 41244 0.00% /ml/datasets/Poker+Hand
39 4339 0.05% 167883 0.00% /ml/datasets/Breast+Cancer+Wisconsin+(Original)
40 4263 0.05% 1492692 0.01% /ml/machine-learning-databases/mushroom/agaricus-lepiota.data
41 4241 0.05% 135431 0.00% /ml/datasets/Housing
42 4189 0.05% 5816850 0.03% /ml/machine-learning-databases/bag-of-words/vocab.pubmed.txt
43 4181 0.05% 41008 0.00% /ml/datasets/Internet+Advertisements
44 4083 0.05% 43686 0.00% /ml/datasets/NoisyOffice
45 4066 0.05% 77062 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/breast-cancer-wisconsin.data
46 4065 0.05% 123957509 0.55% /ml/machine-learning-databases/00319/MHEALTHDATASET.zip
47 4038 0.05% 49646 0.00% /ml/datasets/Spambase
48 4021 0.05% 39618 0.00% /ml/datasets/Forest+Fires
49 3934 0.05% 2604042 0.01% /ml/machine-learning-databases/spambase/spambase.data
50 3789 0.05% 297120 0.00% /ml/machine-learning-databases/wine-quality/winequality-red.csv
51 3786 0.05% 275458078 1.22% /ml/machine-learning-databases/00322/data.zip
52 3757 0.05% 84096 0.00% /ml/machine-learning-databases/pima-indians-diabetes/pima-indians-diabetes.data
53 3674 0.05% 147861 0.00% /ml/datasets/Mushroom
54 3657 0.05% 12491 0.00% /ml/machine-learning-databases/spambase/spambase.names
55 3624 0.05% 18260 0.00% /ml/machine-learning-databases/adult/adult.names
56 3577 0.04% 352682289 1.56% /ml/machine-learning-databases/00321/LD2011_2014.txt.zip
57 3576 0.04% 4888 0.00% /ml/machine-learning-databases/wine-quality/
58 3489 0.04% 894113 0.00% /ml/datasets.html/datasets/datasets/datasets/Abalone
59 3454 0.04% 157940693 0.70% /ml/machine-learning-databases/00256/data.zip
60 3443 0.04% 100114 0.00% /ml/datasets/Pima+Indians+Diabetes
61 3435 0.04% 35415 0.00% /ml/datasets/Bike+Sharing+Dataset
62 3421 0.04% 3269 0.00% /ml/machine-learning-databases/00192/
63 3418 0.04% 54968 0.00% /ml/datasets/Auto+MPG
64 3406 0.04% 3355 0.00% /ml/machine-learning-databases/00320/
65 3372 0.04% 32618 0.00% /ml/datasets/Dow+Jones+Index
66 3347 0.04% 43123 0.00% /ml/datasets/MHEALTH+Dataset
67 3264 0.04% 138975 0.00% /ml/datasets/Diabetes
68 3202 0.04% 66633963 0.29% /ml/machine-learning-databases/00288/leaf.zip
69 3181 0.04% 219633 0.00% /ml/datasets/Breast+Cancer
70 3080 0.04% 31883 0.00% /ml/datasets/Credit+Approval
71 3025 0.04% 37152 0.00% /ml/datasets/Automobile
72 2989 0.04% 1039566 0.00% /ml/machine-learning-databases/mfeat/mfeat.tar
73 2918 0.04% 4010 0.00% /ml/machine-learning-databases/abalone/
74 2899 0.04% 24289 0.00% /ml/datasets/Individual+household+electric+power+consumption
75 2840 0.04% 542614580 2.40% /ml/machine-learning-databases/00279/SUSY.csv.gz
76 2821 0.04% 4312 0.00% /ml/machine-learning-databases/statlog/german/
77 2805 0.03% 12146 0.00% /ml/machine-learning-databases/iris/bezdekIris.data
78 2737 0.03% 1330452 0.01% /ml/machine-learning-databases/00222/bank.zip
79 2721 0.03% 3240 0.00% /ml/machine-learning-databases/00222/
80 2691 0.03% 7827 0.00% /ml/machine-learning-databases/wine/wine.names
81 2657 0.03% 636035 0.00% /ml/machine-learning-databases/wine-quality/winequality-white.csv
82 2650 0.03% 62415 0.00% /ml/datasets/Census+Income
83 2648 0.03% 468804 0.00% /ml/machine-learning-databases/abalone/abalone.data
84 2633 0.03% 200505 0.00% /ml/machine-learning-databases/statlog/german/german.data
85 2590 0.03% 50282 0.00% /ml/machine-learning-databases/00320/student.zip
86 2582 0.03% 3153 0.00% /ml/machine-learning-databases/00240/
87 2576 0.03% 23779 0.00% /ml/datasets/Diabetes+130-US+hospitals+for+years+1999-2008
88 2573 0.03% 40575 0.00% /ml/datasets/Covertype
89 2555 0.03% 50661 0.00% /ml/datasets/Letter+Recognition
90 2547 0.03% 21493 0.00% /ml/datasets/Wholesale+customers
91 2543 0.03% 33959630 0.15% /ml/machine-learning-databases/poker/poker-hand-testing.data
92 2515 0.03% 17403 0.00% /ml/datasets/Sentence+Classification
93 2513 0.03% 23914 0.00% /ml/datasets/Geographical+Original+of+Music
94 2502 0.03% 19749704 0.09% /ml/machine-learning-databases/00317/grammatical_facial_expression.zip
95 2486 0.03% 28072 0.00% /ml/datasets/Flags
96 2408 0.03% 3955770 0.02% /ml/machine-learning-databases/adult/adult.test
97 2406 0.03% 18177 0.00% /ml/datasets/YearPredictionMSD
98 2393 0.03% 68145 0.00% /ml/machine-learning-databases/auto-mpg/auto-mpg.data
99 2361 0.03% 12857 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/breast-cancer-wisconsin.names
100 2361 0.03% 100439 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/wpbc.data

Top 100 of 8337 Total URLs By KBytes
# Hits KBytes URL
1 7748 0.10% 9658250329 42.68% /ml/machine-learning-databases/00280/HIGGS.csv.gz
2 6776 0.08% 5280333077 23.33% /ml/machine-learning-databases/00269/dir_data.tar
3 5515 0.07% 1268873175 5.61% /ml/machine-learning-databases/00251/WTD_upload.zip
4 7599 0.09% 1088195741 4.81% /ml/machine-learning-databases/00318/NoisyOffice.zip
5 522 0.01% 643542907 2.84% /ml/machine-learning-databases/00305/realistic_sensor_displacement.zip
6 2840 0.04% 542614580 2.40% /ml/machine-learning-databases/00279/SUSY.csv.gz
7 1301 0.02% 366402952 1.62% /ml/machine-learning-databases/bag-of-words/docword.pubmed.txt.gz
8 3577 0.04% 352682289 1.56% /ml/machine-learning-databases/00321/LD2011_2014.txt.zip
9 1183 0.01% 334764109 1.48% /ml/machine-learning-databases/eeg-mld/eeg_full.tar
10 3786 0.05% 275458078 1.22% /ml/machine-learning-databases/00322/data.zip
11 1799 0.02% 239366523 1.06% /ml/databases/census1990/USCensus1990.data.txt
12 1947 0.02% 237499144 1.05% /ml/machine-learning-databases/census1990-mld/USCensus1990.data.txt
13 2244 0.03% 177298757 0.78% /ml/machine-learning-databases/00203/YearPredictionMSD.txt.zip
14 1103 0.01% 176410260 0.78% /ml/machine-learning-databases/00231/PAMAP2_Dataset.zip
15 3454 0.04% 157940693 0.70% /ml/machine-learning-databases/00256/data.zip
16 1771 0.02% 150232667 0.66% /ml/machine-learning-databases/url/url_svmlight.tar.gz
17 1797 0.02% 142065418 0.63% /ml/machine-learning-databases/00306/dataset_segmentation.rar
18 29395 0.37% 140723107 0.62% /ml/machine-learning-databases/00240/UCI HAR Dataset.zip
19 180 0.00% 128837065 0.57% /ml/machine-learning-databases/census1990-mld/USCensus1990raw.data.txt
20 4065 0.05% 123957509 0.55% /ml/machine-learning-databases/00319/MHEALTHDATASET.zip
21 1469 0.02% 102764045 0.45% /ml/machine-learning-databases/00226/OpportunityUCIDataset.zip
22 6028 0.07% 83686094 0.37% /ml/machine-learning-databases/00235/household_power_consumption.zip
23 767 0.01% 71833052 0.32% /ml/machine-learning-databases/bag-of-words/docword.nytimes.txt.gz
24 3202 0.04% 66633963 0.29% /ml/machine-learning-databases/00288/leaf.zip
25 397 0.00% 64971464 0.29% /ml/machine-learning-databases/p53/p53_new_2012.zip
26 5463 0.07% 57997119 0.26% /ml/machine-learning-databases/00206/slice_localization_data.zip
27 1350 0.02% 36127722 0.16% /ml/machine-learning-databases/00210/donation.zip
28 10348 0.13% 34193542 0.15% /ml/machine-learning-databases/adult/adult.data
29 2543 0.03% 33959630 0.15% /ml/machine-learning-databases/poker/poker-hand-testing.data
30 576965 7.17% 32966319 0.15% /ml/datasets.html
31 764 0.01% 30606970 0.14% /ml/machine-learning-databases/00205/OpinRankDataset.zip
32 475 0.01% 29269414 0.13% /ml/machine-learning-databases/00259/rcv1rcv2aminigoutte.tar.bz2
33 1900 0.02% 26233821 0.12% /ml/machine-learning-databases/00248/regression.tar.gz
34 569 0.01% 20604954 0.09% /ml/machine-learning-databases/00199/MiniBooNE_PID.txt
35 2502 0.03% 19749704 0.09% /ml/machine-learning-databases/00317/grammatical_facial_expression.zip
36 440 0.01% 19317135 0.09% /ml/machine-learning-databases/volcanoes-mld/volcanoes.tar.gz
37 1562 0.02% 15645755 0.07% /ml/machine-learning-databases/00239/corpus.zip
38 1320 0.02% 11541451 0.05% /ml/machine-learning-databases/00313/sEMG_Basic_Hand_movements_upatras.zip
39 380 0.00% 11407082 0.05% /ml/machine-learning-databases/gisette/GISETTE/gisette_train.data
40 559 0.01% 11100796 0.05% /ml/machine-learning-databases/gisette/GISETTE/gisette_test.data
41 641 0.01% 11048391 0.05% /ml/machine-learning-databases/00241/100 leaves plant species.zip
42 180 0.00% 10568181 0.05% /ml/databases/volcanoes/volcanoes.tar.gz
43 963 0.01% 10538636 0.05% /ml/machine-learning-databases/00195/Train_Arabic_Digit.txt
44 1238 0.02% 9890827 0.04% /ml/machine-learning-databases/kddcup98-mld/epsilon_mirror/cup98lrn.txt.Z
45 1812 0.02% 9709511 0.04% /ml/machine-learning-databases/covtype/covtype.data.gz
46 1195 0.01% 9608966 0.04% /ml/machine-learning-databases/00246/3D_spatial_network.txt
47 1225 0.02% 9530665 0.04% /ml/machine-learning-databases/internet_ads/ad.data
48 458 0.01% 9406242 0.04% /ml/machine-learning-databases/00204/PEMS-SF.zip
49 55 0.00% 8028993 0.04% /ml/machine-learning-databases/bag-of-words//docword.pubmed.txt.gz
50 915 0.01% 7817346 0.03% /ml/machine-learning-databases/00301/Parkinson_Multiple_Sound_Recording_Data.rar
51 139 0.00% 7587892 0.03% /ml/machine-learning-databases/p53/p53_old_2010.zip
52 715 0.01% 7530495 0.03% /ml/machine-learning-databases/00196/ConfLongDemo_JSI.txt
53 1005 0.01% 7273415 0.03% /ml/machine-learning-databases/20newsgroups-mld/20_newsgroups.tar.gz
54 266 0.00% 7009178 0.03% /ml/machine-learning-databases/00268/Data.zip
55 227 0.00% 6739544 0.03% /ml/machine-learning-databases/nsfabs-mld/Part1.zip
56 801 0.01% 6349696 0.03% /ml/machine-learning-databases/00309/dataset_two_gas_sources_.zip
57 4189 0.05% 5816850 0.03% /ml/machine-learning-databases/bag-of-words/vocab.pubmed.txt
58 1163 0.01% 5482106 0.02% /ml/machine-learning-databases/00216/amzn-anon-access-samples.tgz
59 208 0.00% 5157618 0.02% /ml/machine-learning-databases/nsfabs-mld/Part2.zip
60 1244 0.02% 4768233 0.02% /ml/machine-learning-databases/kddcup99-mld/kddcup.data.gz
61 767 0.01% 4121332 0.02% /ml/machine-learning-databases/reuters21578-mld/reuters21578.tar.gz
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63 2408 0.03% 3955770 0.02% /ml/machine-learning-databases/adult/adult.test
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74 28 0.16% housing site:archive.ics.uci.edu/ml
75 28 0.16% insurance site:archive.ics.uci.edu/ml
76 28 0.16% nursery site:archive.ics.uci.edu/ml
77 28 0.16% spambase site:archive.ics.uci.edu/ml
78 27 0.16% digit site:archive.ics.uci.edu/ml
79 27 0.16% health
80 27 0.16% parkinson
81 26 0.15% car
82 26 0.15% face
83 26 0.15% graph data set site:archive.ics.uci.edu/ml
84 26 0.15% image segmentation site:archive.ics.uci.edu/ml
85 26 0.15% wdbc site:archive.ics.uci.edu/ml
86 26 0.15% wisconsin dataset
87 25 0.15% fraud
88 25 0.15% monk
89 25 0.15% spambase
90 24 0.14% bank marketing site:archive.ics.uci.edu/ml
91 24 0.14% binary site:archive.ics.uci.edu/ml
92 24 0.14% concrete site:archive.ics.uci.edu/ml
93 24 0.14% student performance site:archive.ics.uci.edu/ml
94 24 0.14% uci repository
95 23 0.13% activity recognition site:archive.ics.uci.edu/ml
96 23 0.13% https://archive.ics.uci.edu/ml/datasets/qualitative_bankruptcy
97 23 0.13% letter site:archive.ics.uci.edu/ml
98 23 0.13% student
99 23 0.13% vertebral column site:archive.ics.uci.edu/ml
100 23 0.13% vote site:archive.ics.uci.edu/ml

Top 2 of 2 Total Usernames
# Hits Files KBytes Visits Username
1 64 0.00% 64 0.00% 1187 0.00% 60 0.03% ads
2 10 0.00% 10 0.00% 254 0.00% 8 0.00% swi

Top 100 of 9429 Total User Agents
# Hits User Agent
1 451775 5.61% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/40.0.2214.115 Safari/537.36
2 329279 4.09% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.101 Safari/537.36
3 323425 4.02% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:36.0) Gecko/20100101 Firefox/36.0
4 286298 3.56% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/40.0.2214.115 Safari/537.36
5 285351 3.55% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.89 Safari/537.36
6 225938 2.81% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.101 Safari/537.36
7 192867 2.40% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.89 Safari/537.36
8 166158 2.06% Mozilla/5.0 (compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm)
9 164342 2.04% Mozilla/5.0 (Windows NT 6.3; WOW64; rv:36.0) Gecko/20100101 Firefox/36.0
10 143355 1.78% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/40.0.2214.115 Safari/537.36
11 135112 1.68% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_2) AppleWebKit/600.3.18 (KHTML, like Gecko) Version/8.0.3 Safari/600.3.18
12 133018 1.65% Mozilla/5.0 (compatible; AhrefsBot/5.0; +http://ahrefs.com/robot/)
13 124919 1.55% Mozilla/5.0 (Windows NT 6.1; WOW64; Trident/7.0; rv:11.0) like Gecko
14 114506 1.42% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:36.0) Gecko/20100101 Firefox/36.0
15 106813 1.33% Mozilla/5.0 (Windows NT 6.1; rv:36.0) Gecko/20100101 Firefox/36.0
16 104255 1.30% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.101 Safari/537.36
17 104204 1.30% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:35.0) Gecko/20100101 Firefox/35.0
18 102746 1.28% crawler4j (http://code.google.com/p/crawler4j/)
19 84049 1.04% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.89 Safari/537.36
20 65963 0.82% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.63 Safari/537.36
21 58634 0.73% CCBot/2.0 (http://commoncrawl.org/faq/)
22 58064 0.72% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.63 Safari/537.36
23 56776 0.71% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.89 Safari/537.36
24 55391 0.69% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.76 Safari/537.36
25 53627 0.67% Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/40.0.2214.115 Safari/537.36
26 52914 0.66% Mozilla/5.0 (Macintosh; Intel Mac OS X 10.10; rv:36.0) Gecko/20100101 Firefox/36.0
27 51139 0.64% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/40.0.2214.115 Safari/537.36
28 49827 0.62% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_2) AppleWebKit/600.4.10 (KHTML, like Gecko) Version/8.0.4 Safari/600.4.10
29 49739 0.62% Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)
30 48498 0.60% Mozilla/5.0 (Windows NT 6.1; Trident/7.0; rv:11.0) like Gecko
31 46664 0.58% Mozilla/5.0 (Windows NT 6.3; WOW64; Trident/7.0; rv:11.0) like Gecko
32 42727 0.53% UCI WebCrawler 91209872 56323080
33 42364 0.53% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.104 Safari/537.36
34 41748 0.52% Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)
35 41646 0.52% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.76 Safari/537.36
36 41201 0.51% Mozilla/5.0 (Windows NT 5.1; rv:36.0) Gecko/20100101 Firefox/36.0
37 38185 0.47% Mozilla/5.0 (Windows NT 6.1; rv:35.0) Gecko/20100101 Firefox/35.0
38 37656 0.47% UCI WebCrawler 35724702,79572620,61526092
39 35680 0.44% Mozilla/5.0 (Windows NT 6.3; WOW64; rv:35.0) Gecko/20100101 Firefox/35.0
40 34149 0.42% Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.101 Safari/537.36
41 34011 0.42% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_5) AppleWebKit/600.3.18 (KHTML, like Gecko) Version/7.1.3 Safari/537.85.12
42 30992 0.39% Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.89 Safari/537.36
43 30951 0.38% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.95 Safari/537.36
44 30846 0.38% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:31.0) Gecko/20100101 Firefox/31.0
45 29642 0.37% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.76 Safari/537.36
46 29225 0.36% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.89 Safari/537.36
47 29213 0.36% Transmission/2.84
48 28898 0.36% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:35.0) Gecko/20100101 Firefox/35.0
49 28697 0.36% Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; WOW64; Trident/5.0)
50 27180 0.34% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.101 Safari/537.36
51 25642 0.32% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/40.0.2214.115 Safari/537.36
52 24986 0.31% Mozilla/5.0 (Windows NT 6.2; WOW64; rv:36.0) Gecko/20100101 Firefox/36.0
53 24873 0.31% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/40.0.2214.111 Safari/537.36
54 24619 0.31% Mozilla/5.0 (Macintosh; Intel Mac OS X 10.9; rv:36.0) Gecko/20100101 Firefox/36.0
55 24263 0.30% Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CL
56 23327 0.29% Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.3
57 23225 0.29% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.89 Safari/537.36
58 22664 0.28% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/40.0.2214.115 Safari/537.36
59 22651 0.28% Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.63 Safari/537.36
60 22472 0.28% Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/40.0.2214.115 Safari/537.36
61 22342 0.28% Mozilla/5.0 (compatible; MSIE 10.0; Windows NT 6.1; WOW64; Trident/6.0)
62 20928 0.26% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.76 Safari/537.36
63 20495 0.25% Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)
64 19762 0.25% Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.89 Safari/537.36
65 19708 0.24% Xenu Link Sleuth/1.3.8
66 19315 0.24% Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 1.1.4322; .NET CLR 2.0.50727)
67 18758 0.23% Mozilla/5.0 (X11; Ubuntu; Linux i686; rv:36.0) Gecko/20100101 Firefox/36.0
68 18560 0.23% Mozilla/5.0 (Windows NT 5.1; rv:35.0) Gecko/20100101 Firefox/35.0
69 18117 0.23% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.99 Safari/537.36 LBBROWSER
70 17752 0.22% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.76 Safari/537.36
71 17492 0.22% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.104 Safari/537.36
72 17309 0.22% Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.101 Safari/537.36
73 17069 0.21% Mozilla/5.0 (Windows NT 6.3; WOW64; Trident/7.0; Touch; rv:11.0) like Gecko
74 17067 0.21% Python-urllib/2.7
75 16949 0.21% Mozilla/5.0 (X11; Linux x86_64; rv:36.0) Gecko/20100101 Firefox/36.0
76 16805 0.21% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.76 Safari/537.36
77 16788 0.21% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.101 Safari/537.36
78 16378 0.20% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/38.0.2125.122 Safari/537.36
79 16188 0.20% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:34.0) Gecko/20100101 Firefox/34.0
80 15081 0.19% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.153 Safari/537.36 SE 2.X MetaSr 1
81 14938 0.19% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:34.0) Gecko/20100101 Firefox/34.0
82 14647 0.18% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:33.0) Gecko/20100101 Firefox/33.0
83 14383 0.18% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.63 Safari/537.36
84 14243 0.18% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/40.0.2214.111 Safari/537.36
85 13990 0.17% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/600.2.5 (KHTML, like Gecko) Version/8.0.2 Safari/600.2.5
86 13736 0.17% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.95 Safari/537.36
87 13688 0.17% Mozilla/5.0 (Windows; U; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 2.0.50727)
88 12864 0.16% Mozilla/5.0 (iPhone; CPU iPhone OS 8_1_3 like Mac OS X) AppleWebKit/600.1.4 (KHTML, like Gecko) Version/8.0 Mobile/12B466 Saf
89 12407 0.15% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/600.1.25 (KHTML, like Gecko) Version/8.0 Safari/600.1.25
90 12127 0.15% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Ubuntu Chromium/41.0.2272.76 Chrome/41.0.2272.76 Safar
91 11961 0.15% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.99 Safari/537.36
92 11916 0.15% Mozilla/5.0 (Windows NT 6.2; WOW64; rv:35.0) Gecko/20100101 Firefox/35.0
93 11874 0.15% Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; .NET CLR 2.0.50727; 360space)
94 11804 0.15% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:37.0) Gecko/20100101 Firefox/37.0
95 11801 0.15% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/40.0.2214.115 Safari/537.36
96 11618 0.14% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/40.0.2214.111 Safari/537.36
97 11553 0.14% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Ubuntu Chromium/40.0.2214.111 Chrome/40.0.2214.111 Saf
98 11509 0.14% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_7_5) AppleWebKit/537.78.2 (KHTML, like Gecko) Version/6.1.6 Safari/537.78.2
99 11462 0.14% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/40.0.2214.94 Safari/537.36
100 11368 0.14% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:31.0) Gecko/20100101 Firefox/31.0

Usage by Country for March 2015

Top 30 of 69 Total Countries
# Hits Files KBytes Country
1 7549299 93.82% 6992394 95.71% 22465377602 99.28% Unresolved/Unknown
2 267876 3.33% 260913 3.57% 33452929 0.15% Commercial (com)
3 74652 0.93% 52364 0.72% 30013511 0.13% Network (net)
4 59788 0.74% 58320 0.80% 24731513 0.11% Educational (edu)
5 9935 0.12% 9556 0.13% 3120109 0.01% Colombia
6 9412 0.12% 8929 0.12% 8214209 0.04% Indonesia
7 8265 0.10% 7598 0.10% 3516365 0.02% India
8 5990 0.07% 5038 0.07% 427979 0.00% Singapore
9 5892 0.07% 5563 0.08% 467204 0.00% France
10 5692 0.07% 5522 0.08% 2082595 0.01% Italy
11 4291 0.05% 3961 0.05% 314531 0.00% China
12 4130 0.05% 3935 0.05% 2166588 0.01% United Kingdom
13 3465 0.04% 3215 0.04% 42461198 0.19% Romania
14 3271 0.04% 3105 0.04% 515013 0.00% Poland
15 3174 0.04% 3008 0.04% 1175707 0.01% Malaysia
16 3083 0.04% 2884 0.04% 530638 0.00% Spain
17 2977 0.04% 2802 0.04% 1344087 0.01% Turkey
18 2900 0.04% 2758 0.04% 1161886 0.01% Brazil
19 2456 0.03% 2254 0.03% 133993 0.00% Germany
20 1603 0.02% 1440 0.02% 22619 0.00% Japan
21 1300 0.02% 1196 0.02% 1874656 0.01% Australia
22 1206 0.01% 1043 0.01% 201455 0.00% Taiwan
23 1042 0.01% 844 0.01% 21933 0.00% Non-Profit (org)
24 1009 0.01% 916 0.01% 15625 0.00% Hong Kong
25 953 0.01% 918 0.01% 25815 0.00% Jordan
26 885 0.01% 875 0.01% 4207 0.00% Bangladesh
27 844 0.01% 745 0.01% 55731 0.00% Serbia
28 812 0.01% 770 0.01% 37034 0.00% Slovenia
29 799 0.01% 721 0.01% 22372 0.00% US Government (gov)
30 796 0.01% 764 0.01% 11414 0.00% Sri Lanka

Generated by Webalizer Version 2.21