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: 0.8261, f_measure: 0.8868, kappa: 0.4691, kb_relative_information_score: 363.8459, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9126, predictive_accuracy: 0.9067, prior_entropy: 0.5848, recall: 0.9067, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.292, root_relative_squared_error: 0.8415, scimark_benchmark: 1308.2105, usercpu_time_millis: 1534.276, usercpu_time_millis_testing: 0.892, usercpu_time_millis_training: 1533.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9649, kappa: 0.8485, kb_relative_information_score: 2476.3373, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9666, predictive_accuracy: 0.9665, prior_entropy: 0.5848, recall: 0.9665, relative_absolute_error: 0.2495, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.474, scimark_benchmark: 1277.5362, usercpu_time_millis: 6318.617, usercpu_time_millis_testing: 3.848, usercpu_time_millis_training: 6314.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.9089, kappa: 0.5815, kb_relative_information_score: 766.3066, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9233, predictive_accuracy: 0.921, prior_entropy: 0.5848, recall: 0.921, relative_absolute_error: 0.7268, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.8144, scimark_benchmark: 1315.353, usercpu_time_millis: 1992.854, usercpu_time_millis_testing: 1.487, usercpu_time_millis_training: 1991.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9705, kappa: 0.874, kb_relative_information_score: 2629.0868, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.971, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.1977, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1501, root_relative_squared_error: 0.4327, scimark_benchmark: 1307.9574, usercpu_time_millis: 9379.544, usercpu_time_millis_testing: 0.854, usercpu_time_millis_training: 9378.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9679, kappa: 0.8648, kb_relative_information_score: 2643.9822, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9677, predictive_accuracy: 0.9683, prior_entropy: 0.5848, recall: 0.9683, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.4723, scimark_benchmark: 1324.0066, usercpu_time_millis: 1746.402, usercpu_time_millis_testing: 1.152, usercpu_time_millis_training: 1745.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9667, kappa: 0.8604, kb_relative_information_score: 2666.6099, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9666, predictive_accuracy: 0.9671, prior_entropy: 0.5848, recall: 0.9671, relative_absolute_error: 0.1541, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.4735, scimark_benchmark: 1285.033, usercpu_time_millis: 5507.675, usercpu_time_millis_testing: 0.932, usercpu_time_millis_training: 5506.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7679, f_measure: 0.7953, kb_relative_information_score: -61.4096, mean_absolute_error: 0.2375, 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: 0.9857, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.987, scimark_benchmark: 1297.4609, usercpu_time_millis: 7442.3, usercpu_time_millis_testing: 2.404, usercpu_time_millis_training: 7439.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.944, kappa: 0.7512, kb_relative_information_score: 1879.9563, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9498, predictive_accuracy: 0.9485, prior_entropy: 0.5848, recall: 0.9485, relative_absolute_error: 0.4839, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.202, root_relative_squared_error: 0.5822, scimark_benchmark: 1289.3138, usercpu_time_millis: 2709.295, usercpu_time_millis_testing: 0.998, usercpu_time_millis_training: 2708.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.9046, kappa: 0.5674, kb_relative_information_score: 1020.1802, mean_absolute_error: 0.16, 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: 0.6641, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.7958, scimark_benchmark: 1312.8085, usercpu_time_millis: 6649.657, usercpu_time_millis_testing: 0.96, usercpu_time_millis_training: 6648.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7656, f_measure: 0.7953, kb_relative_information_score: -59.0383, mean_absolute_error: 0.2364, 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: 0.981, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.9825, scimark_benchmark: 1317.5767, usercpu_time_millis: 1635.724, usercpu_time_millis_testing: 1.42, usercpu_time_millis_training: 1634.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9597, kappa: 0.8266, kb_relative_information_score: 2371.1181, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9606, predictive_accuracy: 0.9613, prior_entropy: 0.5848, recall: 0.9613, relative_absolute_error: 0.2721, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.5051, scimark_benchmark: 1308.024, usercpu_time_millis: 3863.825, usercpu_time_millis_testing: 1.944, usercpu_time_millis_training: 3861.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.9076, kappa: 0.5825, kb_relative_information_score: 1241.7691, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9134, predictive_accuracy: 0.9174, prior_entropy: 0.5848, recall: 0.9174, relative_absolute_error: 0.6094, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2614, root_relative_squared_error: 0.7534, scimark_benchmark: 1279.8205, usercpu_time_millis: 4690.119, usercpu_time_millis_testing: 1.014, usercpu_time_millis_training: 4689.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.9046, kappa: 0.5674, kb_relative_information_score: 1032.896, mean_absolute_error: 0.1593, 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: 0.6611, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.7945, scimark_benchmark: 1279.6465, usercpu_time_millis: 8263.87, usercpu_time_millis_testing: 0.862, usercpu_time_millis_training: 8263.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.9435, kappa: 0.7503, kb_relative_information_score: 1953.1452, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9477, predictive_accuracy: 0.9475, prior_entropy: 0.5848, recall: 0.9475, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.6025, scimark_benchmark: 1303.5608, usercpu_time_millis: 5038.96, usercpu_time_millis_testing: 0.866, usercpu_time_millis_training: 5038.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9702, kappa: 0.8726, kb_relative_information_score: 2602.6281, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9707, predictive_accuracy: 0.971, prior_entropy: 0.5848, recall: 0.971, relative_absolute_error: 0.2024, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.4428, scimark_benchmark: 1311.6253, usercpu_time_millis: 3319.006, usercpu_time_millis_testing: 0.832, usercpu_time_millis_training: 3318.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.9131, kappa: 0.6093, kb_relative_information_score: 1425.0759, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9182, predictive_accuracy: 0.9216, prior_entropy: 0.5848, recall: 0.9216, relative_absolute_error: 0.5676, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.719, scimark_benchmark: 1276.7733, usercpu_time_millis: 5150.848, usercpu_time_millis_testing: 0.874, usercpu_time_millis_training: 5149.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9627, kappa: 0.842, kb_relative_information_score: 2547.0774, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9626, predictive_accuracy: 0.9634, prior_entropy: 0.5848, recall: 0.9634, relative_absolute_error: 0.2035, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.4962, scimark_benchmark: 1267.0596, usercpu_time_millis: 12327.095, usercpu_time_millis_testing: 2.936, usercpu_time_millis_training: 12324.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9614, kappa: 0.8346, kb_relative_information_score: 2408.1255, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9621, predictive_accuracy: 0.9628, prior_entropy: 0.5848, recall: 0.9628, relative_absolute_error: 0.2606, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.4965, scimark_benchmark: 1303.7936, usercpu_time_millis: 8380.563, usercpu_time_millis_testing: 2.662, usercpu_time_millis_training: 8377.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.7953, kb_relative_information_score: 517.6125, mean_absolute_error: 0.2051, 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: 0.8513, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.8601, scimark_benchmark: 1279.9443, usercpu_time_millis: 2483.561, usercpu_time_millis_testing: 1.878, usercpu_time_millis_training: 2481.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8873, kappa: 0.4712, kb_relative_information_score: 487.1401, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9144, predictive_accuracy: 0.9073, prior_entropy: 0.5848, recall: 0.9073, relative_absolute_error: 0.842, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.7837, scimark_benchmark: 1307.091, usercpu_time_millis: 5361.98, usercpu_time_millis_testing: 1.035, usercpu_time_millis_training: 5360.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.9689, kappa: 0.867, kb_relative_information_score: 2531.0872, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9695, predictive_accuracy: 0.9698, prior_entropy: 0.5848, recall: 0.9698, relative_absolute_error: 0.2204, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.4693, scimark_benchmark: 1276.6694, usercpu_time_millis: 11140.158, usercpu_time_millis_testing: 3.514, usercpu_time_millis_training: 11136.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9509, kappa: 0.785, kb_relative_information_score: 2152.4475, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.954, predictive_accuracy: 0.9539, prior_entropy: 0.5848, recall: 0.9539, relative_absolute_error: 0.3664, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.5487, scimark_benchmark: 1302.6504, usercpu_time_millis: 7321.587, usercpu_time_millis_testing: 1.099, usercpu_time_millis_training: 7320.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, f_measure: 0.7953, kb_relative_information_score: 188.0948, mean_absolute_error: 0.2181, 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: 0.9052, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.9141, scimark_benchmark: 1307.8434, usercpu_time_millis: 3307.665, usercpu_time_millis_testing: 1.836, usercpu_time_millis_training: 3305.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.968, kappa: 0.8627, kb_relative_information_score: 2541.9122, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9691, predictive_accuracy: 0.9692, prior_entropy: 0.5848, recall: 0.9692, relative_absolute_error: 0.2335, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.454, scimark_benchmark: 1311.7443, usercpu_time_millis: 773.448, usercpu_time_millis_testing: 0.918, usercpu_time_millis_training: 772.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.7953, kb_relative_information_score: -36.4367, mean_absolute_error: 0.2209, 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: 0.9168, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.9327, scimark_benchmark: 1298.4462, usercpu_time_millis: 5734.237, usercpu_time_millis_testing: 2.597, usercpu_time_millis_training: 5731.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.8799, kappa: 0.4327, kb_relative_information_score: 668.4327, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9128, predictive_accuracy: 0.903, prior_entropy: 0.5848, recall: 0.903, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.8307, scimark_benchmark: 1283.6225, usercpu_time_millis: 2330.865, usercpu_time_millis_testing: 1.562, usercpu_time_millis_training: 2329.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.9084, kappa: 0.5768, kb_relative_information_score: -2543.6286, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9273, predictive_accuracy: 0.9216, prior_entropy: 0.5848, recall: 0.9216, relative_absolute_error: 1.1972, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.9258, scimark_benchmark: 1307.572, usercpu_time_millis: 353.636, usercpu_time_millis_testing: 0.897, usercpu_time_millis_training: 352.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0344, kb_relative_information_score: -7406.541, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.0196, predictive_accuracy: 0.14, prior_entropy: 0.5848, recall: 0.14, relative_absolute_error: 2.0753, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.5, root_relative_squared_error: 1.4411, scimark_benchmark: 1278.906, usercpu_time_millis: 745.773, usercpu_time_millis_testing: 1.038, usercpu_time_millis_training: 744.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.9237, kappa: 0.659, kb_relative_information_score: 1358.6448, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9286, predictive_accuracy: 0.9305, prior_entropy: 0.5848, recall: 0.9305, relative_absolute_error: 0.5356, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2471, root_relative_squared_error: 0.7123, scimark_benchmark: 1279.7768, usercpu_time_millis: 4827.597, usercpu_time_millis_testing: 2.561, usercpu_time_millis_training: 4825.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.864, kappa: 0.3549, kb_relative_information_score: -6150.2297, mean_absolute_error: 0.4297, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8922, predictive_accuracy: 0.8914, prior_entropy: 0.5848, recall: 0.8914, relative_absolute_error: 1.7835, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.4326, root_relative_squared_error: 1.2467, scimark_benchmark: 1267.8335, usercpu_time_millis: 7916.497, usercpu_time_millis_testing: 2.485, usercpu_time_millis_training: 7914.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7676, f_measure: 0.9046, kappa: 0.5674, kb_relative_information_score: 1087.6848, mean_absolute_error: 0.1561, 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: 0.648, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.7902, scimark_benchmark: 1300.841, usercpu_time_millis: 7486.908, usercpu_time_millis_testing: 1.276, usercpu_time_millis_training: 7485.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.7953, kb_relative_information_score: 258.7724, mean_absolute_error: 0.2285, 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: 0.9483, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.9344, scimark_benchmark: 1276.6096, usercpu_time_millis: 2273.789, usercpu_time_millis_testing: 1.439, usercpu_time_millis_training: 2272.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.9526, kappa: 0.7937, kb_relative_information_score: 2124.4243, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9547, predictive_accuracy: 0.9552, prior_entropy: 0.5848, recall: 0.9552, relative_absolute_error: 0.364, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.5561, scimark_benchmark: 1264.3388, usercpu_time_millis: 9662.204, usercpu_time_millis_testing: 3.776, usercpu_time_millis_training: 9658.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7795, f_measure: 0.7953, kb_relative_information_score: -193.7494, mean_absolute_error: 0.2423, 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: 1.0057, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.9349, scimark_benchmark: 1272.4123, usercpu_time_millis: 2871.988, usercpu_time_millis_testing: 1.565, usercpu_time_millis_training: 2870.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9627, kappa: 0.8387, kb_relative_information_score: 2013.9322, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9643, predictive_accuracy: 0.9643, prior_entropy: 0.5848, recall: 0.9643, relative_absolute_error: 0.4393, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.5198, scimark_benchmark: 1265.1741, usercpu_time_millis: 3009.989, usercpu_time_millis_testing: 1.512, usercpu_time_millis_training: 3008.477,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.8507, kappa: 0.2841, kb_relative_information_score: -7113.399, mean_absolute_error: 0.4823, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.895, predictive_accuracy: 0.8856, prior_entropy: 0.5848, recall: 0.8856, relative_absolute_error: 2.0018, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.4824, root_relative_squared_error: 1.3903, scimark_benchmark: 1262.6099, usercpu_time_millis: 5250.019, usercpu_time_millis_testing: 2.129, usercpu_time_millis_training: 5247.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9294, kappa: 0.6847, kb_relative_information_score: 1667.6391, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.935, predictive_accuracy: 0.9357, prior_entropy: 0.5848, recall: 0.9357, relative_absolute_error: 0.5097, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.6592, scimark_benchmark: 1278.491, usercpu_time_millis: 3733.687, usercpu_time_millis_testing: 0.858, usercpu_time_millis_training: 3732.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.8854, kappa: 0.4616, kb_relative_information_score: -420.7856, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9133, predictive_accuracy: 0.9061, prior_entropy: 0.5848, recall: 0.9061, relative_absolute_error: 0.9754, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.8067, scimark_benchmark: 1325.7164, usercpu_time_millis: 10890.301, usercpu_time_millis_testing: 4.863, usercpu_time_millis_training: 10885.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9554, kappa: 0.8041, kb_relative_information_score: 2091.3021, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9592, predictive_accuracy: 0.9582, prior_entropy: 0.5848, recall: 0.9582, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.186, root_relative_squared_error: 0.536, scimark_benchmark: 1296.5823, usercpu_time_millis: 8222.363, usercpu_time_millis_testing: 0.844, usercpu_time_millis_training: 8221.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.8571, kappa: 0.3164, kb_relative_information_score: -1934.6398, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8995, predictive_accuracy: 0.8893, prior_entropy: 0.5848, recall: 0.8893, relative_absolute_error: 1.1384, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.9336, scimark_benchmark: 1279.7098, usercpu_time_millis: 584.036, usercpu_time_millis_testing: 0.924, usercpu_time_millis_training: 583.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.9391, kappa: 0.7294, kb_relative_information_score: 1837.2003, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9441, predictive_accuracy: 0.9439, prior_entropy: 0.5848, recall: 0.9439, relative_absolute_error: 0.4535, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.6296, scimark_benchmark: 1281.2079, usercpu_time_millis: 9257.006, usercpu_time_millis_testing: 0.829, usercpu_time_millis_training: 9256.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.9495, kappa: 0.7784, kb_relative_information_score: 2141.5127, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9528, predictive_accuracy: 0.9527, prior_entropy: 0.5848, recall: 0.9527, relative_absolute_error: 0.3719, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.5489, scimark_benchmark: 1292.3243, usercpu_time_millis: 9054.191, usercpu_time_millis_testing: 0.842, usercpu_time_millis_training: 9053.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.9121, kappa: 0.6023, kb_relative_information_score: 1297.4791, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9194, predictive_accuracy: 0.9216, prior_entropy: 0.5848, recall: 0.9216, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.73, scimark_benchmark: 1288.6757, usercpu_time_millis: 8122.993, usercpu_time_millis_testing: 0.856, usercpu_time_millis_training: 8122.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, f_measure: 0.8839, kappa: 0.4965, kb_relative_information_score: -7358.5097, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.881, predictive_accuracy: 0.8896, prior_entropy: 0.5848, recall: 0.8896, relative_absolute_error: 2.063, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.4326, scimark_benchmark: 1288.0186, usercpu_time_millis: 2804.266, usercpu_time_millis_testing: 1.864, usercpu_time_millis_training: 2802.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, f_measure: 0.8985, kappa: 0.5434, kb_relative_information_score: 881.5082, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9012, predictive_accuracy: 0.9085, prior_entropy: 0.5848, recall: 0.9085, relative_absolute_error: 0.7064, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.8264, scimark_benchmark: 1288.5306, usercpu_time_millis: 7451.321, usercpu_time_millis_testing: 1.045, usercpu_time_millis_training: 7450.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, f_measure: 0.7953, kb_relative_information_score: -41.4367, mean_absolute_error: 0.2221, 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: 0.9219, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.9371, scimark_benchmark: 1290.4733, usercpu_time_millis: 4016.673, usercpu_time_millis_testing: 2.037, usercpu_time_millis_training: 4014.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.906, kappa: 0.5736, kb_relative_information_score: 1167.1267, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9128, predictive_accuracy: 0.9164, prior_entropy: 0.5848, recall: 0.9164, relative_absolute_error: 0.637, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.7631, scimark_benchmark: 1244.2853, usercpu_time_millis: 3147.067, usercpu_time_millis_testing: 0.833, usercpu_time_millis_training: 3146.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.9159, kappa: 0.6247, kb_relative_information_score: 1382.5024, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9192, predictive_accuracy: 0.9231, prior_entropy: 0.5848, recall: 0.9231, relative_absolute_error: 0.5243, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.251, root_relative_squared_error: 0.7233, scimark_benchmark: 1280.2827, usercpu_time_millis: 5683.321, usercpu_time_millis_testing: 2.499, usercpu_time_millis_training: 5680.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0344, kb_relative_information_score: -7406.541, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.0196, predictive_accuracy: 0.14, prior_entropy: 0.5848, recall: 0.14, relative_absolute_error: 2.0753, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.5, root_relative_squared_error: 1.4411, scimark_benchmark: 1266.6759, usercpu_time_millis: 701.524, usercpu_time_millis_testing: 1.095, usercpu_time_millis_training: 700.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.9148, kappa: 0.6132, kb_relative_information_score: 1296.3938, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9239, predictive_accuracy: 0.9244, prior_entropy: 0.5848, recall: 0.9244, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.7287, scimark_benchmark: 1295.0802, usercpu_time_millis: 2814.921, usercpu_time_millis_testing: 1.71, usercpu_time_millis_training: 2813.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9681, kappa: 0.8629, kb_relative_information_score: 2532.9741, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9691, predictive_accuracy: 0.9692, prior_entropy: 0.5848, recall: 0.9692, relative_absolute_error: 0.2422, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.4493, scimark_benchmark: 1300.0741, usercpu_time_millis: 294.071, usercpu_time_millis_testing: 0.898, usercpu_time_millis_training: 293.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9578, kappa: 0.8161, kb_relative_information_score: 2227.4486, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9603, predictive_accuracy: 0.96, prior_entropy: 0.5848, recall: 0.96, relative_absolute_error: 0.3459, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.522, scimark_benchmark: 1295.4683, usercpu_time_millis: 1239.812, usercpu_time_millis_testing: 0.862, usercpu_time_millis_training: 1238.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.8475, kappa: 0.2675, kb_relative_information_score: -28.1501, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8949, predictive_accuracy: 0.8841, prior_entropy: 0.5848, recall: 0.8841, relative_absolute_error: 0.976, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.8875, scimark_benchmark: 1273.7838, usercpu_time_millis: 1710.111, usercpu_time_millis_testing: 1.42, usercpu_time_millis_training: 1708.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9712, kappa: 0.8772, kb_relative_information_score: 2666.2417, mean_absolute_error: 0.0434, 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: 0.1802, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.4232, scimark_benchmark: 1275.8622, usercpu_time_millis: 9552.205, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 9551.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7506, f_measure: 0.9044, kappa: 0.5592, kb_relative_information_score: 468.6952, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9208, predictive_accuracy: 0.918, prior_entropy: 0.5848, recall: 0.918, relative_absolute_error: 0.8599, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.8401, scimark_benchmark: 1292.0936, usercpu_time_millis: 10027.621, usercpu_time_millis_testing: 0.788, usercpu_time_millis_training: 10026.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7552, f_measure: 0.9046, kappa: 0.5674, kb_relative_information_score: 1018.078, mean_absolute_error: 0.1601, 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: 0.6646, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.7961, scimark_benchmark: 1333.0951, usercpu_time_millis: 6552.109, usercpu_time_millis_testing: 0.853, usercpu_time_millis_training: 6551.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.8626, kappa: 0.3555, kb_relative_information_score: -2563.5832, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8759, predictive_accuracy: 0.8869, prior_entropy: 0.5848, recall: 0.8869, relative_absolute_error: 1.225, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.9645, scimark_benchmark: 1301.0356, usercpu_time_millis: 11173.796, usercpu_time_millis_testing: 2.45, usercpu_time_millis_training: 11171.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.91, kappa: 0.586, kb_relative_information_score: 994.8739, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9258, predictive_accuracy: 0.9222, prior_entropy: 0.5848, recall: 0.9222, relative_absolute_error: 0.683, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.7805, scimark_benchmark: 1315.2585, usercpu_time_millis: 6933.123, usercpu_time_millis_testing: 2.82, usercpu_time_millis_training: 6930.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9757, kappa: 0.8971, kb_relative_information_score: 2700.4304, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9759, predictive_accuracy: 0.9762, prior_entropy: 0.5848, recall: 0.9762, relative_absolute_error: 0.1688, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1453, root_relative_squared_error: 0.4187, scimark_benchmark: 1290.0216, usercpu_time_millis: 4273.712, usercpu_time_millis_testing: 3.132, usercpu_time_millis_training: 4270.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.9162, kappa: 0.6156, kb_relative_information_score: 624.9344, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9317, predictive_accuracy: 0.9271, prior_entropy: 0.5848, recall: 0.9271, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.7182, scimark_benchmark: 1270.0968, usercpu_time_millis: 417.152, usercpu_time_millis_testing: 0.881, usercpu_time_millis_training: 416.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9701, kappa: 0.8721, kb_relative_information_score: 2597.9041, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9708, predictive_accuracy: 0.971, prior_entropy: 0.5848, recall: 0.971, relative_absolute_error: 0.2044, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.4442, scimark_benchmark: 1305.4036, usercpu_time_millis: 9766.574, usercpu_time_millis_testing: 0.766, usercpu_time_millis_training: 9765.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, f_measure: 0.7941, kappa: -0.0021, kb_relative_information_score: -62.1723, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7563, predictive_accuracy: 0.8542, prior_entropy: 0.5848, recall: 0.8542, relative_absolute_error: 0.9687, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.8944, scimark_benchmark: 1307.0103, usercpu_time_millis: 7145.438, usercpu_time_millis_testing: 1.015, usercpu_time_millis_training: 7144.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9704, kappa: 0.8731, kb_relative_information_score: 2586.9544, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9712, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.216, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.4422, scimark_benchmark: 1299.6041, usercpu_time_millis: 10287.505, usercpu_time_millis_testing: 0.837, usercpu_time_millis_training: 10286.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9678, kappa: 0.8617, kb_relative_information_score: 2513.7683, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9687, predictive_accuracy: 0.9689, prior_entropy: 0.5848, recall: 0.9689, relative_absolute_error: 0.2468, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.458, scimark_benchmark: 1308.2878, usercpu_time_millis: 4176.14, usercpu_time_millis_testing: 0.872, usercpu_time_millis_training: 4175.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.9237, kappa: 0.66, kb_relative_information_score: 1500.8868, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9278, predictive_accuracy: 0.9302, prior_entropy: 0.5848, recall: 0.9302, relative_absolute_error: 0.5085, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.6932, scimark_benchmark: 1282.3649, usercpu_time_millis: 4271.763, usercpu_time_millis_testing: 1.756, usercpu_time_millis_training: 4270.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.9065, kappa: 0.5741, kb_relative_information_score: 1101.9073, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9156, predictive_accuracy: 0.9177, prior_entropy: 0.5848, recall: 0.9177, relative_absolute_error: 0.6363, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2676, root_relative_squared_error: 0.7713, scimark_benchmark: 1274.2946, usercpu_time_millis: 6438.96, usercpu_time_millis_testing: 2.614, usercpu_time_millis_training: 6436.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.8345, kappa: 0.2007, kb_relative_information_score: 620.7121, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8885, predictive_accuracy: 0.8774, prior_entropy: 0.5848, recall: 0.8774, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.8316, scimark_benchmark: 1281.1499, usercpu_time_millis: 7961.677, usercpu_time_millis_testing: 3.401, usercpu_time_millis_training: 7958.276,

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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