OpenML
Supervised Classification on Internet-Advertisements

Supervised Classification on Internet-Advertisements

Task 146085 Supervised Classification Internet-Advertisements 12645 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.934, kappa: 0.7158, kb_relative_information_score: 1751.6878, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9337, predictive_accuracy: 0.9366, prior_entropy: 0.5848, recall: 0.9366, relative_absolute_error: 0.4764, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2404, root_relative_squared_error: 0.6929, scimark_benchmark: 1290.6017, usercpu_time_millis: 15.839, usercpu_time_millis_testing: 3.325, usercpu_time_millis_training: 12.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1291.9922, usercpu_time_millis: 13.718, usercpu_time_millis_testing: 3.285, usercpu_time_millis_training: 10.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.8902, kappa: 0.4936, kb_relative_information_score: 1064.1307, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9018, predictive_accuracy: 0.9058, prior_entropy: 0.5848, recall: 0.9058, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8413, scimark_benchmark: 1293.2792, usercpu_time_millis: 15.267, usercpu_time_millis_testing: 3.303, usercpu_time_millis_training: 11.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.9416, kappa: 0.7521, kb_relative_information_score: 1922.3604, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9411, predictive_accuracy: 0.943, prior_entropy: 0.5848, recall: 0.943, relative_absolute_error: 0.4216, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.6549, scimark_benchmark: 1288.9653, usercpu_time_millis: 18.787, usercpu_time_millis_testing: 3.421, usercpu_time_millis_training: 15.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1293.521, usercpu_time_millis: 13.909, usercpu_time_millis_testing: 3.263, usercpu_time_millis_training: 10.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.8902, kappa: 0.4936, kb_relative_information_score: 1064.1307, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9018, predictive_accuracy: 0.9058, prior_entropy: 0.5848, recall: 0.9058, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8413, scimark_benchmark: 1268.1066, usercpu_time_millis: 14.951, usercpu_time_millis_testing: 3.312, usercpu_time_millis_training: 11.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.9334, kappa: 0.7136, kb_relative_information_score: 1744.1799, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.933, predictive_accuracy: 0.936, prior_entropy: 0.5848, recall: 0.936, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.241, root_relative_squared_error: 0.6945, scimark_benchmark: 1290.9741, usercpu_time_millis: 15.845, usercpu_time_millis_testing: 3.362, usercpu_time_millis_training: 12.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.8902, kappa: 0.4936, kb_relative_information_score: 1064.1307, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9018, predictive_accuracy: 0.9058, prior_entropy: 0.5848, recall: 0.9058, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8413, scimark_benchmark: 1251.4954, usercpu_time_millis: 16.103, usercpu_time_millis_testing: 3.468, usercpu_time_millis_training: 12.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1262.2447, usercpu_time_millis: 13.855, usercpu_time_millis_testing: 3.148, usercpu_time_millis_training: 10.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1274.6325, usercpu_time_millis: 15.275, usercpu_time_millis_testing: 3.211, usercpu_time_millis_training: 12.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.8902, kappa: 0.4936, kb_relative_information_score: 1064.1307, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9018, predictive_accuracy: 0.9058, prior_entropy: 0.5848, recall: 0.9058, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8413, scimark_benchmark: 1266.7368, usercpu_time_millis: 15.057, usercpu_time_millis_testing: 3.334, usercpu_time_millis_training: 11.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1249.8217, usercpu_time_millis: 15.049, usercpu_time_millis_testing: 3.289, usercpu_time_millis_training: 11.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.9334, kappa: 0.7136, kb_relative_information_score: 1744.1799, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.933, predictive_accuracy: 0.936, prior_entropy: 0.5848, recall: 0.936, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.241, root_relative_squared_error: 0.6945, scimark_benchmark: 1287.9309, usercpu_time_millis: 17.35, usercpu_time_millis_testing: 3.291, usercpu_time_millis_training: 14.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1265.5667, usercpu_time_millis: 14.005, usercpu_time_millis_testing: 3.182, usercpu_time_millis_training: 10.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.8902, kappa: 0.4936, kb_relative_information_score: 1064.1307, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9018, predictive_accuracy: 0.9058, prior_entropy: 0.5848, recall: 0.9058, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8413, scimark_benchmark: 1273.3676, usercpu_time_millis: 15.15, usercpu_time_millis_testing: 3.311, usercpu_time_millis_training: 11.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1279.9273, usercpu_time_millis: 13.474, usercpu_time_millis_testing: 3.069, usercpu_time_millis_training: 10.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.9416, kappa: 0.7558, kb_relative_information_score: 1913.7689, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9413, predictive_accuracy: 0.9421, prior_entropy: 0.5848, recall: 0.9421, relative_absolute_error: 0.4183, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.6497, scimark_benchmark: 1268.2435, usercpu_time_millis: 20.788, usercpu_time_millis_testing: 3.31, usercpu_time_millis_training: 17.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.9456, kappa: 0.7697, kb_relative_information_score: 2007.7831, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9451, predictive_accuracy: 0.9466, prior_entropy: 0.5848, recall: 0.9466, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.6356, scimark_benchmark: 1293.8506, usercpu_time_millis: 17.786, usercpu_time_millis_testing: 3.206, usercpu_time_millis_training: 14.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.9491, kappa: 0.7829, kb_relative_information_score: 2091.0675, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.949, predictive_accuracy: 0.9506, prior_entropy: 0.5848, recall: 0.9506, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.6204, scimark_benchmark: 1264.4986, usercpu_time_millis: 19.593, usercpu_time_millis_testing: 3.499, usercpu_time_millis_training: 16.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1294.9637, usercpu_time_millis: 13.283, usercpu_time_millis_testing: 3.082, usercpu_time_millis_training: 10.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.9334, kappa: 0.7136, kb_relative_information_score: 1744.1799, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.933, predictive_accuracy: 0.936, prior_entropy: 0.5848, recall: 0.936, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.241, root_relative_squared_error: 0.6945, scimark_benchmark: 1289.2049, usercpu_time_millis: 16.265, usercpu_time_millis_testing: 3.524, usercpu_time_millis_training: 12.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1297.4851, usercpu_time_millis: 13.557, usercpu_time_millis_testing: 3.178, usercpu_time_millis_training: 10.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.9334, kappa: 0.7136, kb_relative_information_score: 1744.1799, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.933, predictive_accuracy: 0.936, prior_entropy: 0.5848, recall: 0.936, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.241, root_relative_squared_error: 0.6945, scimark_benchmark: 1249.3229, usercpu_time_millis: 17.717, usercpu_time_millis_testing: 3.278, usercpu_time_millis_training: 14.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1281.7744, usercpu_time_millis: 14.503, usercpu_time_millis_testing: 3.398, usercpu_time_millis_training: 11.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.9334, kappa: 0.7136, kb_relative_information_score: 1744.1799, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.933, predictive_accuracy: 0.936, prior_entropy: 0.5848, recall: 0.936, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.241, root_relative_squared_error: 0.6945, scimark_benchmark: 1269.1605, usercpu_time_millis: 17.754, usercpu_time_millis_testing: 3.53, usercpu_time_millis_training: 14.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1250.5126, usercpu_time_millis: 14.101, usercpu_time_millis_testing: 3.272, usercpu_time_millis_training: 10.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.9491, kappa: 0.7829, kb_relative_information_score: 2091.0675, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.949, predictive_accuracy: 0.9506, prior_entropy: 0.5848, recall: 0.9506, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.6204, scimark_benchmark: 1259.0743, usercpu_time_millis: 19.38, usercpu_time_millis_testing: 3.264, usercpu_time_millis_training: 16.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1289.016, usercpu_time_millis: 14.085, usercpu_time_millis_testing: 3.301, usercpu_time_millis_training: 10.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1284.42, usercpu_time_millis: 14.159, usercpu_time_millis_testing: 3.337, usercpu_time_millis_training: 10.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.9334, kappa: 0.7136, kb_relative_information_score: 1744.1799, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.933, predictive_accuracy: 0.936, prior_entropy: 0.5848, recall: 0.936, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.241, root_relative_squared_error: 0.6945, scimark_benchmark: 1288.7754, usercpu_time_millis: 16.555, usercpu_time_millis_testing: 3.456, usercpu_time_millis_training: 13.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.8902, kappa: 0.4936, kb_relative_information_score: 1064.1307, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9018, predictive_accuracy: 0.9058, prior_entropy: 0.5848, recall: 0.9058, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8413, scimark_benchmark: 1286.4975, usercpu_time_millis: 14.817, usercpu_time_millis_testing: 3.179, usercpu_time_millis_training: 11.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1266.1886, usercpu_time_millis: 15.093, usercpu_time_millis_testing: 3.046, usercpu_time_millis_training: 12.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.9491, kappa: 0.7829, kb_relative_information_score: 2091.0675, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.949, predictive_accuracy: 0.9506, prior_entropy: 0.5848, recall: 0.9506, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.6204, scimark_benchmark: 1285.5846, usercpu_time_millis: 16.31, usercpu_time_millis_testing: 3.31, usercpu_time_millis_training: 13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.8902, kappa: 0.4936, kb_relative_information_score: 1064.1307, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9018, predictive_accuracy: 0.9058, prior_entropy: 0.5848, recall: 0.9058, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8413, scimark_benchmark: 1261.6679, usercpu_time_millis: 15.528, usercpu_time_millis_testing: 3.253, usercpu_time_millis_training: 12.275,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.9416, kappa: 0.7521, kb_relative_information_score: 1922.3604, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9411, predictive_accuracy: 0.943, prior_entropy: 0.5848, recall: 0.943, relative_absolute_error: 0.4216, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.6549, scimark_benchmark: 1264.4879, usercpu_time_millis: 18.857, usercpu_time_millis_testing: 3.325, usercpu_time_millis_training: 15.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.9333, kappa: 0.7131, kb_relative_information_score: 1747.8357, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.933, predictive_accuracy: 0.936, prior_entropy: 0.5848, recall: 0.936, relative_absolute_error: 0.4777, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2411, root_relative_squared_error: 0.695, scimark_benchmark: 1267.9797, usercpu_time_millis: 19.116, usercpu_time_millis_testing: 3.478, usercpu_time_millis_training: 15.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5485, f_measure: 0.813, kappa: 0.0907, kb_relative_information_score: 177.5106, mean_absolute_error: 0.2274, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8667, predictive_accuracy: 0.8667, prior_entropy: 0.5848, recall: 0.8667, relative_absolute_error: 0.9439, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.9793, scimark_benchmark: 1258.4589, usercpu_time_millis: 15.546, usercpu_time_millis_testing: 3.286, usercpu_time_millis_training: 12.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1293.5585, usercpu_time_millis: 14.244, usercpu_time_millis_testing: 3.238, usercpu_time_millis_training: 11.006,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1274.8588, usercpu_time_millis: 14.114, usercpu_time_millis_testing: 3.25, usercpu_time_millis_training: 10.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1281.7269, usercpu_time_millis: 13.748, usercpu_time_millis_testing: 3.173, usercpu_time_millis_training: 10.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8427, f_measure: 0.936, kappa: 0.7261, kb_relative_information_score: 1812.2815, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9355, predictive_accuracy: 0.9381, prior_entropy: 0.5848, recall: 0.9381, relative_absolute_error: 0.4549, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.6826, scimark_benchmark: 1281.0005, usercpu_time_millis: 17.713, usercpu_time_millis_testing: 3.18, usercpu_time_millis_training: 14.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1285.0011, usercpu_time_millis: 13.684, usercpu_time_millis_testing: 3.07, usercpu_time_millis_training: 10.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.8902, kappa: 0.4936, kb_relative_information_score: 1064.1307, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9018, predictive_accuracy: 0.9058, prior_entropy: 0.5848, recall: 0.9058, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8413, scimark_benchmark: 1280.4614, usercpu_time_millis: 15.037, usercpu_time_millis_testing: 3.276, usercpu_time_millis_training: 11.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.9334, kappa: 0.7136, kb_relative_information_score: 1744.1799, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.933, predictive_accuracy: 0.936, prior_entropy: 0.5848, recall: 0.936, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.241, root_relative_squared_error: 0.6945, scimark_benchmark: 1263.1389, usercpu_time_millis: 17.217, usercpu_time_millis_testing: 3.224, usercpu_time_millis_training: 13.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, f_measure: 0.9511, kappa: 0.7909, kb_relative_information_score: 2122.3523, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9512, predictive_accuracy: 0.9527, prior_entropy: 0.5848, recall: 0.9527, relative_absolute_error: 0.3653, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.6102, scimark_benchmark: 1285.633, usercpu_time_millis: 19.332, usercpu_time_millis_testing: 3.231, usercpu_time_millis_training: 16.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.8902, kappa: 0.4936, kb_relative_information_score: 1064.1307, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9018, predictive_accuracy: 0.9058, prior_entropy: 0.5848, recall: 0.9058, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8413, scimark_benchmark: 1285.3396, usercpu_time_millis: 14.597, usercpu_time_millis_testing: 3.295, usercpu_time_millis_training: 11.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1295.8431, usercpu_time_millis: 13.694, usercpu_time_millis_testing: 3.317, usercpu_time_millis_training: 10.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1288.7113, usercpu_time_millis: 13.724, usercpu_time_millis_testing: 3.118, usercpu_time_millis_training: 10.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.8902, kappa: 0.4936, kb_relative_information_score: 1064.1307, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9018, predictive_accuracy: 0.9058, prior_entropy: 0.5848, recall: 0.9058, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8413, scimark_benchmark: 1274.1314, usercpu_time_millis: 14.507, usercpu_time_millis_testing: 3.242, usercpu_time_millis_training: 11.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1264.715, usercpu_time_millis: 13.846, usercpu_time_millis_testing: 3.238, usercpu_time_millis_training: 10.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1269.2476, usercpu_time_millis: 14.189, usercpu_time_millis_testing: 3.334, usercpu_time_millis_training: 10.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1266.1336, usercpu_time_millis: 13.999, usercpu_time_millis_testing: 3.29, usercpu_time_millis_training: 10.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1266.8382, usercpu_time_millis: 13.877, usercpu_time_millis_testing: 3.223, usercpu_time_millis_training: 10.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.8902, kappa: 0.4936, kb_relative_information_score: 1064.1307, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9018, predictive_accuracy: 0.9058, prior_entropy: 0.5848, recall: 0.9058, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8413, scimark_benchmark: 1284.4385, usercpu_time_millis: 15.437, usercpu_time_millis_testing: 3.44, usercpu_time_millis_training: 11.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1285.0598, usercpu_time_millis: 13.959, usercpu_time_millis_testing: 3.189, usercpu_time_millis_training: 10.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1260.581, usercpu_time_millis: 14, usercpu_time_millis_testing: 3.208, usercpu_time_millis_training: 10.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.8902, kappa: 0.4936, kb_relative_information_score: 1064.1307, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9018, predictive_accuracy: 0.9058, prior_entropy: 0.5848, recall: 0.9058, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8413, scimark_benchmark: 1265.3125, usercpu_time_millis: 14.766, usercpu_time_millis_testing: 3.25, usercpu_time_millis_training: 11.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1283.4611, usercpu_time_millis: 13.489, usercpu_time_millis_testing: 3.02, usercpu_time_millis_training: 10.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1284.9872, usercpu_time_millis: 13.361, usercpu_time_millis_testing: 3.059, usercpu_time_millis_training: 10.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, f_measure: 0.9511, kappa: 0.7909, kb_relative_information_score: 2121.7925, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9512, predictive_accuracy: 0.9527, prior_entropy: 0.5848, recall: 0.9527, relative_absolute_error: 0.3655, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.6101, scimark_benchmark: 1268.2663, usercpu_time_millis: 16.448, usercpu_time_millis_testing: 3.261, usercpu_time_millis_training: 13.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1261.5827, usercpu_time_millis: 13.554, usercpu_time_millis_testing: 3.144, usercpu_time_millis_training: 10.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1262.1769, usercpu_time_millis: 13.477, usercpu_time_millis_testing: 3.166, usercpu_time_millis_training: 10.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1290.6762, usercpu_time_millis: 14.747, usercpu_time_millis_testing: 3.298, usercpu_time_millis_training: 11.449,

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

OpenML bootcamp

From your own software

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

OpenML APIs