OpenML
Supervised Classification on Internet-Advertisements

Supervised Classification on Internet-Advertisements

Task 6566 Supervised Classification Internet-Advertisements 25422 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.7628, kappa: 0.3274, kb_relative_information_score: -468.5797, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8786, predictive_accuracy: 0.721, prior_entropy: 0.5848, recall: 0.721, relative_absolute_error: 0.7983, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.305, root_relative_squared_error: 0.8789, scimark_benchmark: 1285.6711, usercpu_time_millis: 567.294, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 566.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.7953, kb_relative_information_score: 521.0147, mean_absolute_error: 0.2174, 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: 0.9024, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.9113, scimark_benchmark: 1261.086, usercpu_time_millis: 4.159, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 3.865,
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: 1292.9052, usercpu_time_millis: 4.417, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 4.116,
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: 1271.8888, usercpu_time_millis: 4.691, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 4.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.8912, kappa: 0.5869, kb_relative_information_score: 1361.6572, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9068, predictive_accuracy: 0.8832, prior_entropy: 0.5848, recall: 0.8832, relative_absolute_error: 0.5021, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.6545, scimark_benchmark: 1288.4931, usercpu_time_millis: 227.239, usercpu_time_millis_testing: 0.348, usercpu_time_millis_training: 226.891,
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: 1266.0048, usercpu_time_millis: 4.14, usercpu_time_millis_testing: 0.313, usercpu_time_millis_training: 3.827,
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: 1256.6899, usercpu_time_millis: 4.668, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 4.409,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.9026, kappa: 0.5484, kb_relative_information_score: 1380.3686, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9227, predictive_accuracy: 0.9174, prior_entropy: 0.5848, recall: 0.9174, relative_absolute_error: 0.6606, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.723, scimark_benchmark: 1305.1124, usercpu_time_millis: 4.741, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 4.463,
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: 1300.5307, usercpu_time_millis: 4.411, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 4.126,
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: 1269.707, usercpu_time_millis: 3.859, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 3.602,
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: 1291.6686, usercpu_time_millis: 3.855, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 3.567,
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: 1297.7958, usercpu_time_millis: 5.257, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 4.939,
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: 1264.6747, usercpu_time_millis: 4.641, usercpu_time_millis_testing: 0.321, usercpu_time_millis_training: 4.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5126, f_measure: 0.7014, kappa: 0.0555, kb_relative_information_score: -2244.6081, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7765, predictive_accuracy: 0.6548, prior_entropy: 0.5848, recall: 0.6548, relative_absolute_error: 1.2884, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.5328, root_relative_squared_error: 1.5357, scimark_benchmark: 1291.8176, usercpu_time_millis: 2978.089, usercpu_time_millis_testing: 0.337, usercpu_time_millis_training: 2977.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.8311, kappa: 0.4515, kb_relative_information_score: 622.3945, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8945, predictive_accuracy: 0.806, prior_entropy: 0.5848, recall: 0.806, relative_absolute_error: 0.5724, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2601, root_relative_squared_error: 0.7498, scimark_benchmark: 1275.208, usercpu_time_millis: 1682.781, usercpu_time_millis_testing: 1.331, usercpu_time_millis_training: 1681.45,
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: 1279.6203, usercpu_time_millis: 4.379, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 4.084,
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: 1285.6502, usercpu_time_millis: 4.1, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 3.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.9256, kappa: 0.6624, kb_relative_information_score: 1643.906, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9376, predictive_accuracy: 0.9341, prior_entropy: 0.5848, recall: 0.9341, relative_absolute_error: 0.5673, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.6621, scimark_benchmark: 1294.5218, usercpu_time_millis: 4.535, usercpu_time_millis_testing: 0.804, usercpu_time_millis_training: 3.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.9117, kappa: 0.5937, kb_relative_information_score: 1474.8346, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9283, predictive_accuracy: 0.9238, prior_entropy: 0.5848, recall: 0.9238, relative_absolute_error: 0.6344, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.702, scimark_benchmark: 1274.5036, usercpu_time_millis: 4.415, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 4.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8258, kappa: 0.1559, kb_relative_information_score: 753.6165, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8839, predictive_accuracy: 0.8731, prior_entropy: 0.5848, recall: 0.8731, relative_absolute_error: 0.8479, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.8638, scimark_benchmark: 1272.5231, usercpu_time_millis: 4.24, usercpu_time_millis_testing: -0.24, usercpu_time_millis_training: 4.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5143, f_measure: 0.4215, kappa: 0.0321, kb_relative_information_score: -7175.4665, mean_absolute_error: 0.5985, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7928, predictive_accuracy: 0.3672, prior_entropy: 0.5848, recall: 0.3672, relative_absolute_error: 2.484, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.7559, root_relative_squared_error: 2.1786, scimark_benchmark: 1305.2971, usercpu_time_millis: 3939.942, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 3939.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5668, f_measure: 0.6011, kappa: 0.1186, kb_relative_information_score: -4347.6508, mean_absolute_error: 0.4345, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8257, predictive_accuracy: 0.5346, prior_entropy: 0.5848, recall: 0.5346, relative_absolute_error: 1.8034, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.6355, root_relative_squared_error: 1.8317, scimark_benchmark: 1311.6458, usercpu_time_millis: 4492.577, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 4492.27,
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: 1303.8847, usercpu_time_millis: 4.631, usercpu_time_millis_testing: 0.316, usercpu_time_millis_training: 4.315,
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: 1266.3591, usercpu_time_millis: 4.379, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 4.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.9006, kappa: 0.6314, kb_relative_information_score: 1660.0513, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9214, predictive_accuracy: 0.8917, prior_entropy: 0.5848, recall: 0.8917, relative_absolute_error: 0.3641, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.6069, scimark_benchmark: 1302.5912, usercpu_time_millis: 1311.082, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 1310.791,
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: 1292.2237, usercpu_time_millis: 4.45, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 4.149,
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: 1268.5543, usercpu_time_millis: 4.947, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 4.648,
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: 1260.5659, usercpu_time_millis: 3.997, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 3.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5245, f_measure: 0.5818, kappa: 0.0419, kb_relative_information_score: -4327.9101, mean_absolute_error: 0.4197, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7812, predictive_accuracy: 0.5099, prior_entropy: 0.5848, recall: 0.5099, relative_absolute_error: 1.7422, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.6064, root_relative_squared_error: 1.7476, scimark_benchmark: 1273.4676, usercpu_time_millis: 4534.413, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 4534.154,
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: 1261.6074, usercpu_time_millis: 4.198, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 3.906,
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: 1262.5965, usercpu_time_millis: 5.273, usercpu_time_millis_testing: -0.171, usercpu_time_millis_training: 5.444,
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: 1263.327, usercpu_time_millis: 4.437, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 4.086,
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: 1277.6622, usercpu_time_millis: 3.909, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 3.571,
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: 1303.0133, usercpu_time_millis: 4.448, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 4.151,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.8662, kappa: 0.3638, kb_relative_information_score: 1082.1441, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.902, predictive_accuracy: 0.8942, prior_entropy: 0.5848, recall: 0.8942, relative_absolute_error: 0.7538, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2744, root_relative_squared_error: 0.7909, scimark_benchmark: 1265.9708, usercpu_time_millis: 3.806, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 3.523,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5162, f_measure: 0.4224, kappa: 0.0318, kb_relative_information_score: -7156.4315, mean_absolute_error: 0.5974, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7923, predictive_accuracy: 0.3678, prior_entropy: 0.5848, recall: 0.3678, relative_absolute_error: 2.4794, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.7556, root_relative_squared_error: 2.1776, scimark_benchmark: 1269.8014, usercpu_time_millis: 2420.769, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 2420.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.7953, kb_relative_information_score: 193.2916, mean_absolute_error: 0.2338, 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: 0.9703, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.9718, scimark_benchmark: 1289.075, usercpu_time_millis: 5.267, usercpu_time_millis_testing: 0.413, usercpu_time_millis_training: 4.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9546, kappa: 0.8005, kb_relative_information_score: 2121.2785, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9588, predictive_accuracy: 0.9576, prior_entropy: 0.5848, recall: 0.9576, relative_absolute_error: 0.4186, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.19, root_relative_squared_error: 0.5477, scimark_benchmark: 1284.2849, usercpu_time_millis: 7.941, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 7.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.9568, kappa: 0.8106, kb_relative_information_score: 2200.9082, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9604, predictive_accuracy: 0.9594, prior_entropy: 0.5848, recall: 0.9594, relative_absolute_error: 0.3718, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.5282, scimark_benchmark: 1281.6418, usercpu_time_millis: 7.63, usercpu_time_millis_testing: 0.342, usercpu_time_millis_training: 7.288,
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: 1279.3534, usercpu_time_millis: 4.36, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 4.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9712, kappa: 0.8772, kb_relative_information_score: 2660.1552, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9716, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.1799, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.4276, scimark_benchmark: 1346.3314, usercpu_time_millis: 10901.919, usercpu_time_millis_testing: 0.897, usercpu_time_millis_training: 10901.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, f_measure: 0.7426, kappa: 0.2426, kb_relative_information_score: -752.8254, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8428, predictive_accuracy: 0.6984, prior_entropy: 0.5848, recall: 0.6984, relative_absolute_error: 0.8463, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.9804, scimark_benchmark: 1309.6744, usercpu_time_millis: 1974.633, usercpu_time_millis_testing: 0.799, usercpu_time_millis_training: 1973.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6749, f_measure: 0.7953, kb_relative_information_score: 73.1497, mean_absolute_error: 0.2384, 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: 0.9896, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.9906, scimark_benchmark: 1292.6563, usercpu_time_millis: 3.845, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 3.579,
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: 1277.0891, usercpu_time_millis: 4.449, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 4.103,
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: 1267.0793, usercpu_time_millis: 5.603, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 5.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8977, kappa: 0.5238, kb_relative_information_score: 1380.4038, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9197, predictive_accuracy: 0.914, prior_entropy: 0.5848, recall: 0.914, relative_absolute_error: 0.6646, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.7238, scimark_benchmark: 1274.6055, usercpu_time_millis: 5.767, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 4.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.9539, kappa: 0.7972, kb_relative_information_score: 2105.8751, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9582, predictive_accuracy: 0.957, prior_entropy: 0.5848, recall: 0.957, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.191, root_relative_squared_error: 0.5506, scimark_benchmark: 1298.8182, usercpu_time_millis: 9.291, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 8.925,
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: 1294.6043, usercpu_time_millis: 5.048, usercpu_time_millis_testing: 0.349, usercpu_time_millis_training: 4.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.9557, kappa: 0.8054, kb_relative_information_score: 2178.2495, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9597, predictive_accuracy: 0.9585, prior_entropy: 0.5848, recall: 0.9585, relative_absolute_error: 0.3883, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.5323, scimark_benchmark: 1306.2228, usercpu_time_millis: 7.739, usercpu_time_millis_testing: 0.335, usercpu_time_millis_training: 7.404,
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: 1277.7029, usercpu_time_millis: 3.519, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 3.276,
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: 1267.7582, usercpu_time_millis: 3.607, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 3.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, f_measure: 0.5318, kappa: 0.1309, kb_relative_information_score: -3403.6528, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.865, predictive_accuracy: 0.4724, prior_entropy: 0.5848, recall: 0.4724, relative_absolute_error: 1.3277, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3994, root_relative_squared_error: 1.1512, scimark_benchmark: 1299.5865, usercpu_time_millis: 2231.147, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 2230.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.7628, kappa: 0.3267, kb_relative_information_score: -461.5025, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8782, predictive_accuracy: 0.721, prior_entropy: 0.5848, recall: 0.721, relative_absolute_error: 0.7952, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3047, root_relative_squared_error: 0.8781, scimark_benchmark: 1269.8259, usercpu_time_millis: 708.698, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 708.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.9644, kappa: 0.8458, kb_relative_information_score: 2316.2694, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9666, predictive_accuracy: 0.9661, prior_entropy: 0.5848, recall: 0.9661, relative_absolute_error: 0.3356, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.5009, scimark_benchmark: 1304.6843, usercpu_time_millis: 9.831, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 9.465,
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: 1283.3012, usercpu_time_millis: 4.622, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 4.336,
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: 1278.5171, usercpu_time_millis: 3.638, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 3.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.9046, kappa: 0.5674, kb_relative_information_score: 1135.9019, mean_absolute_error: 0.1529, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9111, predictive_accuracy: 0.9152, prior_entropy: 0.5848, recall: 0.9152, relative_absolute_error: 0.6347, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2705, root_relative_squared_error: 0.7796, scimark_benchmark: 1332.6524, usercpu_time_millis: 9328.292, usercpu_time_millis_testing: 0.994, usercpu_time_millis_training: 9327.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7884, f_measure: 0.8753, kappa: 0.518, kb_relative_information_score: 1296.007, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8877, predictive_accuracy: 0.8676, prior_entropy: 0.5848, recall: 0.8676, relative_absolute_error: 0.4532, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.751, scimark_benchmark: 1276.0996, usercpu_time_millis: 1061.776, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 1061.522,
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: 1297.3535, usercpu_time_millis: 5.129, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 4.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.9665, kappa: 0.855, kb_relative_information_score: 2388.1347, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9684, predictive_accuracy: 0.968, prior_entropy: 0.5848, recall: 0.968, relative_absolute_error: 0.2993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.4864, scimark_benchmark: 1281.9969, usercpu_time_millis: 10.412, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 10.127,
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: 1303.4127, usercpu_time_millis: 4.721, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 4.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.8963, kappa: 0.517, kb_relative_information_score: 1373.0692, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9189, predictive_accuracy: 0.9131, prior_entropy: 0.5848, recall: 0.9131, relative_absolute_error: 0.6644, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.725, scimark_benchmark: 1307.0882, usercpu_time_millis: 4.977, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 4.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.905, kappa: 0.5694, kb_relative_information_score: 1184.881, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9115, predictive_accuracy: 0.9155, prior_entropy: 0.5848, recall: 0.9155, relative_absolute_error: 0.621, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.267, root_relative_squared_error: 0.7695, scimark_benchmark: 1347.0634, usercpu_time_millis: 10047.715, usercpu_time_millis_testing: 1.019, usercpu_time_millis_training: 10046.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5178, f_measure: 0.7118, kappa: 0.1085, kb_relative_information_score: -2491.1991, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.794, predictive_accuracy: 0.6651, prior_entropy: 0.5848, recall: 0.6651, relative_absolute_error: 1.401, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.5778, root_relative_squared_error: 1.6653, scimark_benchmark: 1304.5342, usercpu_time_millis: 1839.112, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 1838.83,

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