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: 0.499, 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: 1352.297, usercpu_time_millis: 4.064, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 3.754,
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: 1356.7683, usercpu_time_millis: 4.105, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 3.841,
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: 1312.1401, usercpu_time_millis: 4.691, usercpu_time_millis_testing: 0.504, usercpu_time_millis_training: 4.187,
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: 1349.4089, usercpu_time_millis: 4.458, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 4.171,
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: 1341.6593, usercpu_time_millis: 4.189, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 3.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8769, kappa: 0.4184, kb_relative_information_score: 1244.3322, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9078, predictive_accuracy: 0.9006, prior_entropy: 0.5848, recall: 0.9006, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.7544, scimark_benchmark: 1345.5928, usercpu_time_millis: 4.403, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 4.131,
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: 1349.525, usercpu_time_millis: 4.187, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 3.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.7625, kappa: 0.3271, kb_relative_information_score: -410.6585, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8786, predictive_accuracy: 0.7206, prior_entropy: 0.5848, recall: 0.7206, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.8745, scimark_benchmark: 1354.5934, usercpu_time_millis: 2099.981, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 2099.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.9609, kappa: 0.8295, kb_relative_information_score: 2234.1606, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.964, predictive_accuracy: 0.9631, prior_entropy: 0.5848, recall: 0.9631, relative_absolute_error: 0.3698, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.52, scimark_benchmark: 1338.8048, usercpu_time_millis: 9.197, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 8.879,
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: 1321.6903, usercpu_time_millis: 4.48, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 4.207,
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: 1333.6165, usercpu_time_millis: 4.416, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 4.135,
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: 1353.4607, usercpu_time_millis: 4.478, usercpu_time_millis_testing: 0.474, usercpu_time_millis_training: 4.004,
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: 1294.3405, usercpu_time_millis: 3.846, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 3.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, f_measure: 0.6076, kappa: 0.1417, kb_relative_information_score: -2579.1118, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8403, predictive_accuracy: 0.5428, prior_entropy: 0.5848, recall: 0.5428, relative_absolute_error: 1.1821, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3861, root_relative_squared_error: 1.1127, scimark_benchmark: 1331.7405, usercpu_time_millis: 2573.396, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 2572.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.5743, kappa: 0.0004, kb_relative_information_score: -5284.6929, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7594, predictive_accuracy: 0.4998, prior_entropy: 0.5848, recall: 0.4998, relative_absolute_error: 2.0759, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.7072, root_relative_squared_error: 2.0383, scimark_benchmark: 1263.2192, usercpu_time_millis: 3627.036, usercpu_time_millis_testing: 0.337, usercpu_time_millis_training: 3626.699,
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: 1306.5526, usercpu_time_millis: 4.559, usercpu_time_millis_testing: 0.324, usercpu_time_millis_training: 4.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.7988, kappa: 0.018, kb_relative_information_score: 604.7482, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8574, predictive_accuracy: 0.8612, prior_entropy: 0.5848, recall: 0.8612, relative_absolute_error: 0.8862, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3106, root_relative_squared_error: 0.8951, scimark_benchmark: 1309.9059, usercpu_time_millis: 4.778, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 4.466,
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: 1311.4792, usercpu_time_millis: 4.48, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 4.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.6904, kappa: 0.0002, kb_relative_information_score: -2820.947, mean_absolute_error: 0.3562, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7593, predictive_accuracy: 0.6438, prior_entropy: 0.5848, recall: 0.6438, relative_absolute_error: 1.4785, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.5968, root_relative_squared_error: 1.7201, scimark_benchmark: 1322.4492, usercpu_time_millis: 2441.659, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 2441.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8312, kappa: 0.4522, kb_relative_information_score: 629.0142, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8949, predictive_accuracy: 0.806, prior_entropy: 0.5848, recall: 0.806, relative_absolute_error: 0.5693, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.7502, scimark_benchmark: 1353.5912, usercpu_time_millis: 1687.031, usercpu_time_millis_testing: 0.334, usercpu_time_millis_training: 1686.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5584, f_measure: 0.5086, kappa: 0.0513, kb_relative_information_score: -5098.5814, mean_absolute_error: 0.4526, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7972, predictive_accuracy: 0.441, prior_entropy: 0.5848, recall: 0.441, relative_absolute_error: 1.8785, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.6129, root_relative_squared_error: 1.7665, scimark_benchmark: 1295.252, usercpu_time_millis: 7825.824, usercpu_time_millis_testing: 0.686, usercpu_time_millis_training: 7825.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.961, kappa: 0.8298, kb_relative_information_score: 2237.7126, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9638, predictive_accuracy: 0.9631, prior_entropy: 0.5848, recall: 0.9631, relative_absolute_error: 0.3624, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.5178, scimark_benchmark: 1336.7767, usercpu_time_millis: 7.997, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 7.7,
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: 1347.5637, usercpu_time_millis: 5.14, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 4.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9668, kappa: 0.8565, kb_relative_information_score: 2446.5496, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9687, predictive_accuracy: 0.9683, prior_entropy: 0.5848, recall: 0.9683, relative_absolute_error: 0.2783, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.4694, scimark_benchmark: 1317.3049, usercpu_time_millis: 28.716, usercpu_time_millis_testing: 0.575, usercpu_time_millis_training: 28.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7208, f_measure: 0.7953, kb_relative_information_score: 72.3269, mean_absolute_error: 0.2385, 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: 0.9897, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.9906, scimark_benchmark: 1327.0761, usercpu_time_millis: 4.804, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 4.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.616, kappa: 0.1774, kb_relative_information_score: -2416.646, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8649, predictive_accuracy: 0.5541, prior_entropy: 0.5848, recall: 0.5541, relative_absolute_error: 1.1454, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3708, root_relative_squared_error: 1.0688, scimark_benchmark: 1257.9368, usercpu_time_millis: 2440.206, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 2439.845,
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: 1346.2318, usercpu_time_millis: 4.842, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 4.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.9665, kappa: 0.855, kb_relative_information_score: 2382.4027, mean_absolute_error: 0.0726, 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: 0.3014, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.4878, scimark_benchmark: 1346.9865, usercpu_time_millis: 9.715, usercpu_time_millis_testing: 0.507, usercpu_time_millis_training: 9.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9365, kappa: 0.7145, kb_relative_information_score: 1908.4419, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9455, predictive_accuracy: 0.9427, prior_entropy: 0.5848, recall: 0.9427, relative_absolute_error: 0.4972, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.6014, scimark_benchmark: 1322.4906, usercpu_time_millis: 8.378, usercpu_time_millis_testing: 0.349, usercpu_time_millis_training: 8.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.7953, kb_relative_information_score: 341.6152, mean_absolute_error: 0.2274, 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: 0.9437, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.9469, scimark_benchmark: 1344.7626, usercpu_time_millis: 4.376, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 4.09,
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: 1351.9609, usercpu_time_millis: 4.226, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 3.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6729, f_measure: 0.866, kappa: 0.4751, kb_relative_information_score: 744.1367, mean_absolute_error: 0.1508, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.876, predictive_accuracy: 0.8591, prior_entropy: 0.5848, recall: 0.8591, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3729, root_relative_squared_error: 1.0748, scimark_benchmark: 1350.7357, usercpu_time_millis: 637.687, usercpu_time_millis_testing: 0.321, usercpu_time_millis_training: 637.366,
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: 1314.3148, usercpu_time_millis: 4.859, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 4.542,
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: 1316.7365, usercpu_time_millis: 5.557, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 5.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9349, kappa: 0.7071, kb_relative_information_score: 1845.4301, mean_absolute_error: 0.1257, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9444, predictive_accuracy: 0.9414, prior_entropy: 0.5848, recall: 0.9414, relative_absolute_error: 0.5217, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.6165, scimark_benchmark: 1344.8915, usercpu_time_millis: 7.188, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 6.903,
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: 1339.8045, usercpu_time_millis: 4.493, usercpu_time_millis_testing: 0.563, usercpu_time_millis_training: 3.93,
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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: 1315.8332, usercpu_time_millis: 4.55, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 4.265,
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: 1346.6559, usercpu_time_millis: 4.012, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 3.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, f_measure: 0.8002, kappa: 0.3169, kb_relative_information_score: -696.9535, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8481, predictive_accuracy: 0.7743, prior_entropy: 0.5848, recall: 0.7743, relative_absolute_error: 0.9729, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.4736, root_relative_squared_error: 1.3648, scimark_benchmark: 1268.1063, usercpu_time_millis: 705.8, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 705.497,
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: 1323.9155, usercpu_time_millis: 4.562, usercpu_time_millis_testing: 0.302, usercpu_time_millis_training: 4.26,
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: 1325.6788, usercpu_time_millis: 4.271, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 3.997,
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: 1343.1386, usercpu_time_millis: 3.956, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 3.707,
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: 0.499, 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: 1261.6213, usercpu_time_millis: 4.403, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 4.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.9557, kappa: 0.8054, kb_relative_information_score: 2150.0557, mean_absolute_error: 0.0952, 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: 0.3951, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.5395, scimark_benchmark: 1304.3862, usercpu_time_millis: 6.267, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 5.994,
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: 1305.2543, usercpu_time_millis: 3.839, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 3.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.6112, kappa: 0.1578, kb_relative_information_score: -2529.6689, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8512, predictive_accuracy: 0.5477, prior_entropy: 0.5848, recall: 0.5477, relative_absolute_error: 1.165, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3822, root_relative_squared_error: 1.1015, scimark_benchmark: 1261.5078, usercpu_time_millis: 6350.103, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 6349.803,
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: 1249.2679, usercpu_time_millis: 4.877, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 4.538,
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: 1264.4009, usercpu_time_millis: 4.309, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 4.031,
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: 1298.3446, usercpu_time_millis: 4.39, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 4.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.7953, kb_relative_information_score: 282.5916, mean_absolute_error: 0.2301, 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: 0.9549, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.9571, scimark_benchmark: 1281.0321, usercpu_time_millis: 4.808, usercpu_time_millis_testing: 0.713, usercpu_time_millis_training: 4.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9244, kappa: 0.6565, kb_relative_information_score: 1657.552, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9367, predictive_accuracy: 0.9332, prior_entropy: 0.5848, recall: 0.9332, relative_absolute_error: 0.5803, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.6585, scimark_benchmark: 1280.8912, usercpu_time_millis: 4.836, usercpu_time_millis_testing: 0.719, usercpu_time_millis_training: 4.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.9268, kappa: 0.6682, kb_relative_information_score: 1704.2505, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9384, predictive_accuracy: 0.935, prior_entropy: 0.5848, recall: 0.935, relative_absolute_error: 0.5594, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.6473, scimark_benchmark: 1276.1705, usercpu_time_millis: 4.953, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 4.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.6159, kappa: 0.1759, kb_relative_information_score: -2430.3086, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8637, predictive_accuracy: 0.5538, prior_entropy: 0.5848, recall: 0.5538, relative_absolute_error: 1.1528, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3715, root_relative_squared_error: 1.0707, scimark_benchmark: 1271.918, usercpu_time_millis: 2419.419, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 2419.113,
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: 1275.5137, usercpu_time_millis: 4.864, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 4.56,
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: 1268.7579, usercpu_time_millis: 4.813, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 4.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.9326, kappa: 0.696, kb_relative_information_score: 1788.0481, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9427, predictive_accuracy: 0.9396, prior_entropy: 0.5848, recall: 0.9396, relative_absolute_error: 0.5434, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.6301, scimark_benchmark: 1297.8669, usercpu_time_millis: 6.321, usercpu_time_millis_testing: 0.674, usercpu_time_millis_training: 5.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.6096, kappa: 0.1507, kb_relative_information_score: -2558.5476, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8463, predictive_accuracy: 0.5456, prior_entropy: 0.5848, recall: 0.5456, relative_absolute_error: 1.1734, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3848, root_relative_squared_error: 1.1091, scimark_benchmark: 1296.2935, usercpu_time_millis: 3874.243, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 3874,
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: 1293.0353, usercpu_time_millis: 4.904, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 4.514,
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: 1262.8236, usercpu_time_millis: 5.379, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 5.094,
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: 1260.6108, usercpu_time_millis: 4.239, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 3.964,
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: 1278.3118, usercpu_time_millis: 4.351, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 4.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.5743, kappa: -0.0005, kb_relative_information_score: -5284.6929, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.759, predictive_accuracy: 0.4998, prior_entropy: 0.5848, recall: 0.4998, relative_absolute_error: 2.0759, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.7072, root_relative_squared_error: 2.0383, scimark_benchmark: 1271.0467, usercpu_time_millis: 3642.406, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 3642.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7764, f_measure: 0.6839, kappa: 0.2076, kb_relative_information_score: -1558.6524, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8518, predictive_accuracy: 0.627, prior_entropy: 0.5848, recall: 0.627, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3548, root_relative_squared_error: 1.0226, scimark_benchmark: 1304.9761, usercpu_time_millis: 3003.939, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 3003.558,
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: 1290.4845, usercpu_time_millis: 4.267, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 3.98,
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: 1279.2629, usercpu_time_millis: 4.23, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 3.954,

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

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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

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