178822 1 Jan van Rijn 7356 Supervised Data Stream Classification 84 moa.OzaBag_HoeffdingTree(1) 25 meta.OzaBag b false 80 c 1.0E-7 80 d NominalAttributeClassObserver 80 e 1000000 80 g 200 80 l NBAdaptive 80 m 33554432 80 n GaussianNumericAttributeClassObserver 80 p false 80 q 0 80 r false 80 s InfoGainSplitCriterion 80 t 0.05 80 z false 80 l moa.classifiers.trees.HoeffdingTree 84 r 1 84 s 10 84 Moa 1378 BNG(letter,1000,1) https://www.openml.org/data/download/583789/BNG_letter_1000_1.arff -1 587943 description https://api.openml.org/data/download/587943/moa_task_73562598389752509147868.xml -1 587944 predictions https://api.openml.org/data/download/587944/openml_task_7356_predictions9041327892258823289.arff area_under_roc_curve 0.914105 [0.919605,0.897553,0.929413,0.928492,0.8935,0.919686,0.895783,0.881558,0.895879,0.901913,0.913901,0.914212,0.928418,0.934465,0.895022,0.937647,0.921388,0.922612,0.848549,0.919123,0.935812,0.937333,0.953262,0.917936,0.9196,0.897002] average_cost 0 confusion_matrix [[21980,633,443,613,331,534,606,590,416,1132,551,996,1297,1052,940,525,985,674,585,233,654,1591,483,587,545,201],[423,17218,463,3212,692,1213,1431,1385,804,678,488,411,958,1149,816,599,520,2226,735,465,251,220,429,985,325,299],[304,482,20496,598,1378,829,2894,237,592,185,1274,929,433,557,588,379,452,332,742,567,900,388,293,314,405,359],[507,2626,656,22127,475,792,744,1651,355,883,589,498,352,769,1705,603,489,1627,476,458,646,119,94,626,224,162],[310,836,1908,713,14312,755,2309,1218,1369,776,1072,874,292,643,426,294,1177,541,909,679,529,270,293,2905,389,2613],[258,1313,505,528,349,21211,454,207,1531,698,352,417,403,886,286,2440,350,691,534,2564,220,443,268,513,1088,338],[706,1429,2937,989,1271,434,18299,1079,410,649,565,832,883,474,1429,414,1351,905,708,385,391,370,496,540,377,257],[665,1273,318,1483,431,479,444,16694,474,371,1366,242,1129,1486,2173,415,1035,1387,230,510,1274,380,719,1220,266,347],[523,937,682,621,509,2342,296,650,17406,1461,676,1723,394,548,511,755,457,866,836,698,233,240,241,2364,622,1231],[1061,1060,312,811,821,1369,555,606,1900,18224,535,1159,498,761,495,1119,826,677,871,814,303,314,183,807,526,722],[743,1010,1757,866,822,678,889,1609,560,346,17056,1103,840,657,479,255,650,1785,296,484,854,257,242,2480,456,227],[950,730,1244,595,922,598,910,377,1830,1671,1187,20036,642,480,469,279,665,532,717,456,293,161,194,1069,532,698],[1591,876,779,405,394,372,1004,1247,550,643,822,565,20556,2632,636,500,919,683,224,363,1273,434,1007,536,413,278],[708,1084,415,972,279,943,283,1072,289,421,449,218,1938,23235,968,480,426,755,242,244,1015,732,1186,335,324,129],[1162,923,821,1713,361,447,1610,1485,494,337,689,536,838,1266,16564,677,1949,971,333,212,873,654,800,1749,333,154],[293,711,308,513,253,4378,509,223,706,779,172,219,619,958,563,23081,632,553,315,784,208,616,604,379,1047,294],[1371,522,404,727,497,391,1359,727,325,553,976,613,823,483,2981,703,20726,783,327,409,546,1004,617,654,472,240],[808,2122,288,1249,271,647,644,1653,733,485,963,402,872,790,1214,536,955,20177,347,343,261,385,206,1096,232,191],[1488,2743,893,1355,1372,1771,1272,1164,2241,1148,516,1188,415,1041,1245,678,1048,1171,6990,547,496,438,275,2556,543,2843],[143,562,656,465,457,4636,407,478,839,666,359,296,192,379,219,597,266,418,335,20714,403,1340,479,686,3067,386],[365,354,2417,666,426,500,416,1544,308,167,642,366,1704,1488,1190,250,720,459,194,493,23730,619,493,590,511,153],[850,431,427,195,222,828,436,670,214,247,202,158,748,894,606,963,624,467,172,932,950,22749,2257,280,1302,146],[157,432,439,121,202,472,585,796,216,162,204,170,1468,1672,251,552,317,317,142,831,375,1704,24657,261,1007,181],[426,841,472,877,1345,1150,389,1261,1214,529,1592,668,288,396,830,380,342,744,596,728,333,388,306,21670,587,714],[321,403,568,295,207,2682,411,288,608,297,412,435,471,524,459,1113,677,352,383,4868,627,2577,1237,496,17985,258],[614,807,791,452,2474,1090,512,1043,1782,792,293,992,273,479,360,698,908,598,1643,772,293,239,258,3000,447,15276]] f_measure 0.50079 [0.564284,0.426436,0.523485,0.530534,0.411945,0.469332,0.467718,0.434938,0.458125,0.508844,0.477739,0.53945,0.520221,0.54773,0.433874,0.584314,0.526716,0.513665,0.243898,0.517863,0.60308,0.593953,0.6488,0.493824,0.492882,0.465852] kappa 0.483262 kb_relative_information_score 526868.96423 mean_absolute_error 0.049141 mean_prior_absolute_error 0.073964 number_of_instances 1000000 [39177,38395,36907,40253,38412,38847,38580,36811,37822,37329,37401,38237,39702,39142,37951,39717,39233,37870,37437,39445,40765,37970,37691,39066,38954,36886] precision 0.50348 [0.567563,0.406488,0.495084,0.512662,0.460593,0.411536,0.461304,0.417831,0.45606,0.531312,0.501618,0.555845,0.522708,0.508436,0.43132,0.587527,0.525161,0.495859,0.351574,0.510788,0.62561,0.588864,0.6435,0.444987,0.528582,0.53232] predictive_accuracy 0.503169 prior_entropy 4.70044 recall 0.503169 [0.561043,0.448444,0.555342,0.549698,0.372592,0.546014,0.474313,0.453506,0.460208,0.4882,0.456031,0.523995,0.517757,0.593608,0.436458,0.581137,0.52828,0.532796,0.186714,0.525136,0.582117,0.599131,0.654188,0.554702,0.461698,0.414141] relative_absolute_error 0.664383 root_mean_prior_squared_error 0.192308 root_mean_squared_error 0.156933 root_relative_squared_error 0.816052 total_cost 0