Name: Internet Advertisements Data Set
Creator: Kaggle
License: http://opendatacommons.org/licenses/dbcl/1.0/

About this Dataset

Internet Advertisements Data Set

Context

The task is to predict whether an image is an advertisement ("ad") or not ("nonad").

Content

There are 1559 columns in the data.Each row in the data represent one image which is tagged as ad or nonad in the last column.column 0 to 1557 represent the actual numerical attributes of the images

Acknowledgements

Lichman, M. (2013). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.

Here is a BiBTeX citation as well:

@misc{Lichman:2013 ,
author = "M. Lichman",
year = "2013",
title = "{UCI} Machine Learning Repository",
url = "http://archive.ics.uci.edu/ml",
institution = "University of California, Irvine, School of Information and Computer Sciences" }
https://archive.ics.uci.edu/ml/citation_policy.html

Tables

Add

@kaggle.uciml_internet_advertisements_data_set.add

1.14 MB
3,279 rows
1,560 columns

CREATE TABLE add (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "n_0" VARCHAR  -- 0,
  "n_1" VARCHAR  -- 1,
  "n_2" VARCHAR  -- 2,
  "n_3" VARCHAR  -- 3,
  "n_4" BIGINT  -- 4,
  "n_5" BIGINT  -- 5,
  "n_6" BIGINT  -- 6,
  "n_7" BIGINT  -- 7,
  "n_8" BIGINT  -- 8,
  "n_9" BIGINT  -- 9,
  "n_10" BIGINT  -- 10,
  "n_11" BIGINT  -- 11,
  "n_12" BIGINT  -- 12,
  "n_13" BIGINT  -- 13,
  "n_14" BIGINT  -- 14,
  "n_15" BIGINT  -- 15,
  "n_16" BIGINT  -- 16,
  "n_17" BIGINT  -- 17,
  "n_18" BIGINT  -- 18,
  "n_19" BIGINT  -- 19,
  "n_20" BIGINT  -- 20,
  "n_21" BIGINT  -- 21,
  "n_22" BIGINT  -- 22,
  "n_23" BIGINT  -- 23,
  "n_24" BIGINT  -- 24,
  "n_25" BIGINT  -- 25,
  "n_26" BIGINT  -- 26,
  "n_27" BIGINT  -- 27,
  "n_28" BIGINT  -- 28,
  "n_29" BIGINT  -- 29,
  "n_30" BIGINT  -- 30,
  "n_31" BIGINT  -- 31,
  "n_32" BIGINT  -- 32,
  "n_33" BIGINT  -- 33,
  "n_34" BIGINT  -- 34,
  "n_35" BIGINT  -- 35,
  "n_36" BIGINT  -- 36,
  "n_37" BIGINT  -- 37,
  "n_38" BIGINT  -- 38,
  "n_39" BIGINT  -- 39,
  "n_40" BIGINT  -- 40,
  "n_41" BIGINT  -- 41,
  "n_42" BIGINT  -- 42,
  "n_43" BIGINT  -- 43,
  "n_44" BIGINT  -- 44,
  "n_45" BIGINT  -- 45,
  "n_46" BIGINT  -- 46,
  "n_47" BIGINT  -- 47,
  "n_48" BIGINT  -- 48,
  "n_49" BIGINT  -- 49,
  "n_50" BIGINT  -- 50,
  "n_51" BIGINT  -- 51,
  "n_52" BIGINT  -- 52,
  "n_53" BIGINT  -- 53,
  "n_54" BIGINT  -- 54,
  "n_55" BIGINT  -- 55,
  "n_56" BIGINT  -- 56,
  "n_57" BIGINT  -- 57,
  "n_58" BIGINT  -- 58,
  "n_59" BIGINT  -- 59,
  "n_60" BIGINT  -- 60,
  "n_61" BIGINT  -- 61,
  "n_62" BIGINT  -- 62,
  "n_63" BIGINT  -- 63,
  "n_64" BIGINT  -- 64,
  "n_65" BIGINT  -- 65,
  "n_66" BIGINT  -- 66,
  "n_67" BIGINT  -- 67,
  "n_68" BIGINT  -- 68,
  "n_69" BIGINT  -- 69,
  "n_70" BIGINT  -- 70,
  "n_71" BIGINT  -- 71,
  "n_72" BIGINT  -- 72,
  "n_73" BIGINT  -- 73,
  "n_74" BIGINT  -- 74,
  "n_75" BIGINT  -- 75,
  "n_76" BIGINT  -- 76,
  "n_77" BIGINT  -- 77,
  "n_78" BIGINT  -- 78,
  "n_79" BIGINT  -- 79,
  "n_80" BIGINT  -- 80,
  "n_81" BIGINT  -- 81,
  "n_82" BIGINT  -- 82,
  "n_83" BIGINT  -- 83,
  "n_84" BIGINT  -- 84,
  "n_85" BIGINT  -- 85,
  "n_86" BIGINT  -- 86,
  "n_87" BIGINT  -- 87,
  "n_88" BIGINT  -- 88,
  "n_89" BIGINT  -- 89,
  "n_90" BIGINT  -- 90,
  "n_91" BIGINT  -- 91,
  "n_92" BIGINT  -- 92,
  "n_93" BIGINT  -- 93,
  "n_94" BIGINT  -- 94,
  "n_95" BIGINT  -- 95,
  "n_96" BIGINT  -- 96,
  "n_97" BIGINT  -- 97,
  "n_98" BIGINT  -- 98
);