OpenML
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 49 Supervised Classification tic-tac-toe 111519 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7164, kappa: 0.3671, kb_relative_information_score: 227.3796, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7144, predictive_accuracy: 0.7203, prior_entropy: 0.9312, recall: 0.7203, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8655, scimark_benchmark: 1334.3347, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.7737, kappa: 0.4918, kb_relative_information_score: 452.0252, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7747, predictive_accuracy: 0.7797, prior_entropy: 0.9312, recall: 0.7797, relative_absolute_error: 0.513, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.9043, scimark_benchmark: 1428.6266, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.6641, kappa: 0.2415, kb_relative_information_score: 262.9594, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6628, predictive_accuracy: 0.6795, prior_entropy: 0.9312, recall: 0.6795, relative_absolute_error: 0.6992, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4929, root_relative_squared_error: 1.0357, scimark_benchmark: 1504.3462, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.778, kappa: 0.5014, kb_relative_information_score: 488.0124, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7792, predictive_accuracy: 0.7839, prior_entropy: 0.9312, recall: 0.7839, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8847, scimark_benchmark: 1411.943, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.7924, kappa: 0.5351, kb_relative_information_score: 500.5126, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7925, predictive_accuracy: 0.7965, prior_entropy: 0.9312, recall: 0.7965, relative_absolute_error: 0.4595, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.8912, scimark_benchmark: 1348.9959, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.7803, kappa: 0.5052, kb_relative_information_score: 480.2778, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7842, predictive_accuracy: 0.7881, prior_entropy: 0.9312, recall: 0.7881, relative_absolute_error: 0.4812, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.8891, scimark_benchmark: 1454.4005, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.6855, kappa: 0.29, kb_relative_information_score: 181.4946, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6856, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9024, scimark_benchmark: 1504.3895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9716, kappa: 0.9369, kb_relative_information_score: 559.5447, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9723, predictive_accuracy: 0.9718, prior_entropy: 0.9312, recall: 0.9718, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.5456, scimark_benchmark: 1345.4744, usercpu_time_millis: 160, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 630.6758, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.4757, scimark_benchmark: 1404.2452, usercpu_time_millis: 170, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 122.5591, mean_absolute_error: 0.4001, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.9407, scimark_benchmark: 1395.4833, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9874, kappa: 0.9721, kb_relative_information_score: 627.27, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9877, predictive_accuracy: 0.9875, prior_entropy: 0.9312, recall: 0.9875, relative_absolute_error: 0.4133, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.4822, scimark_benchmark: 1356.6514, usercpu_time_millis: 970, usercpu_time_millis_testing: 960, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9233, kappa: 0.8282, kb_relative_information_score: 606.4506, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9272, predictive_accuracy: 0.9248, prior_entropy: 0.9312, recall: 0.9248, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.5415, scimark_benchmark: 1374.8089, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9811, kappa: 0.9582, kb_relative_information_score: 902.4994, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9814, predictive_accuracy: 0.9812, prior_entropy: 0.9312, recall: 0.9812, relative_absolute_error: 0.0599, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.2533, scimark_benchmark: 1354.3794, usercpu_time_millis: 460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, scimark_benchmark: 1257.4781, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7361, kappa: 0.405, kb_relative_information_score: 259.5303, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7384, predictive_accuracy: 0.7463, prior_entropy: 0.9312, recall: 0.7463, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8366, scimark_benchmark: 1258.3001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.7256, kappa: 0.3861, kb_relative_information_score: 435.5474, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.804, predictive_accuracy: 0.763, prior_entropy: 0.9312, recall: 0.763, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4868, root_relative_squared_error: 1.0229, scimark_benchmark: 1207.7973, usercpu_time_millis: 540, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.651, kappa: 0.2152, kb_relative_information_score: 107.2387, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6775, predictive_accuracy: 0.6921, prior_entropy: 0.9312, recall: 0.6921, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.9321, scimark_benchmark: 1413.7812, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.7592, kappa: 0.4552, kb_relative_information_score: 347.7549, mean_absolute_error: 0.2926, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7748, predictive_accuracy: 0.7745, prior_entropy: 0.9312, recall: 0.7745, relative_absolute_error: 0.646, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8348, scimark_benchmark: 1277.2085, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: -0.1639, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1386.4812, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.6833, kappa: 0.2884, kb_relative_information_score: 266.7231, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6808, predictive_accuracy: 0.6921, prior_entropy: 0.9312, recall: 0.6921, relative_absolute_error: 0.6977, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4934, root_relative_squared_error: 1.0369, scimark_benchmark: 1355.4002, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7032, kappa: 0.3295, kb_relative_information_score: 326.6991, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7275, predictive_accuracy: 0.7307, prior_entropy: 0.9312, recall: 0.7307, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4818, root_relative_squared_error: 1.0126, scimark_benchmark: 1343.3156, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5165, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371, scimark_benchmark: 1742.8208, usercpu_time_millis: 140.625, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.7912, kappa: 0.5324, kb_relative_information_score: 498.7767, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7914, predictive_accuracy: 0.7954, prior_entropy: 0.9312, recall: 0.7954, relative_absolute_error: 0.4607, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.8942, scimark_benchmark: 1410.7877, usercpu_time_millis: 1190, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.977, kappa: 0.9492, kb_relative_information_score: 906.5663, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.977, predictive_accuracy: 0.977, prior_entropy: 0.9312, recall: 0.977, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1443, root_relative_squared_error: 0.3032, scimark_benchmark: 1582.6928, usercpu_time_millis: 17900, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 17890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.8246, kappa: 0.6064, kb_relative_information_score: 495.1061, mean_absolute_error: 0.222, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8268, predictive_accuracy: 0.8288, prior_entropy: 0.9312, recall: 0.8288, relative_absolute_error: 0.4901, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.34, root_relative_squared_error: 0.7146, scimark_benchmark: 1315.077, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.7144, kappa: 0.3542, kb_relative_information_score: 250.1441, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7212, predictive_accuracy: 0.7307, prior_entropy: 0.9312, recall: 0.7307, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.867, scimark_benchmark: 1308.6038, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.7886, kappa: 0.537, kb_relative_information_score: 491.0386, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7909, predictive_accuracy: 0.7871, prior_entropy: 0.9312, recall: 0.7871, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9245, scimark_benchmark: 1260.9051, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9821, kappa: 0.9603, kb_relative_information_score: 693.1688, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9827, predictive_accuracy: 0.9823, prior_entropy: 0.9312, recall: 0.9823, relative_absolute_error: 0.3371, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.196, root_relative_squared_error: 0.412, scimark_benchmark: 1680.3173, usercpu_time_millis: 13710, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 13700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 142.411, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8624, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.438, root_relative_squared_error: 0.9204, scimark_benchmark: 1279.6654, usercpu_time_millis: 5510, usercpu_time_millis_testing: 5500, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 295.2333, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5483, root_relative_squared_error: 1.1522, scimark_benchmark: 1333.2224, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.6887, kappa: 0.2983, kb_relative_information_score: 213.6936, mean_absolute_error: 0.3541, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6877, predictive_accuracy: 0.7004, prior_entropy: 0.9312, recall: 0.7004, relative_absolute_error: 0.7817, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8704, scimark_benchmark: 1272.4177, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9266, kappa: 0.8373, kb_relative_information_score: 582.4154, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9266, predictive_accuracy: 0.9269, prior_entropy: 0.9312, recall: 0.9269, relative_absolute_error: 0.434, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.5558, scimark_benchmark: 1291.209, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7085, kappa: 0.3413, kb_relative_information_score: 220.1053, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7125, predictive_accuracy: 0.7234, prior_entropy: 0.9312, recall: 0.7234, relative_absolute_error: 0.7784, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.8662, scimark_benchmark: 1259.6843, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.6893, kappa: 0.3044, kb_relative_information_score: 114.5241, mean_absolute_error: 0.4034, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6866, predictive_accuracy: 0.6952, prior_entropy: 0.9312, recall: 0.6952, relative_absolute_error: 0.8905, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.934, scimark_benchmark: 1837.7105, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.7111, kappa: 0.3472, kb_relative_information_score: 364.0616, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7149, predictive_accuracy: 0.7255, prior_entropy: 0.9312, recall: 0.7255, relative_absolute_error: 0.5904, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4886, root_relative_squared_error: 1.0267, scimark_benchmark: 1283.3021, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 630.6758, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.4757, scimark_benchmark: 1306.9873, usercpu_time_millis: 170, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 932.2389, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.0272, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0945, root_relative_squared_error: 0.1987, scimark_benchmark: 1343.2775, usercpu_time_millis: 490, usercpu_time_millis_training: 490,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, scimark_benchmark: 1374.3497, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, scimark_benchmark: 1363.681, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, scimark_benchmark: 1251.5768, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, scimark_benchmark: 1839.6446, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, scimark_benchmark: 1229.344, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, scimark_benchmark: 1020.5241, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, scimark_benchmark: 1015.1373, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9822, kappa: 0.9604, kb_relative_information_score: 900.3546, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9826, predictive_accuracy: 0.9823, prior_entropy: 0.9312, recall: 0.9823, relative_absolute_error: 0.0658, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.2786, scimark_benchmark: 1931.8468, usercpu_time_millis: 4031.25, usercpu_time_millis_training: 4031.25,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, scimark_benchmark: 1239.1889, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
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Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs