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: 0.9786, f_measure: 0.9729, kappa: 0.8855, kb_relative_information_score: 2586.8963, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9731, predictive_accuracy: 0.9735, prior_entropy: 0.5848, recall: 0.9735, relative_absolute_error: 0.1927, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.4216, scimark_benchmark: 1282.4954, usercpu_time_millis: 6346.156, usercpu_time_millis_testing: 16.415, usercpu_time_millis_training: 6329.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.963, kappa: 0.8425, kb_relative_information_score: 2390.4104, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9632, predictive_accuracy: 0.964, prior_entropy: 0.5848, recall: 0.964, relative_absolute_error: 0.2569, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.5106, scimark_benchmark: 1276.7761, usercpu_time_millis: 567.564, usercpu_time_millis_testing: 13.378, usercpu_time_millis_training: 554.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.956, kappa: 0.81, kb_relative_information_score: 2275.3317, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9571, predictive_accuracy: 0.9579, prior_entropy: 0.5848, recall: 0.9579, relative_absolute_error: 0.297, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.5297, scimark_benchmark: 1283.7651, usercpu_time_millis: 544.7, usercpu_time_millis_testing: 12.104, usercpu_time_millis_training: 532.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.955, kappa: 0.8056, kb_relative_information_score: 2232.1574, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9562, predictive_accuracy: 0.957, prior_entropy: 0.5848, recall: 0.957, relative_absolute_error: 0.3135, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.5349, scimark_benchmark: 1280.215, usercpu_time_millis: 567.63, usercpu_time_millis_testing: 10.742, usercpu_time_millis_training: 556.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9714, kappa: 0.8788, kb_relative_information_score: 2551.5705, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9715, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.1999, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.4469, scimark_benchmark: 1303.1154, usercpu_time_millis: 9185.109, usercpu_time_millis_testing: 11.289, usercpu_time_millis_training: 9173.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9525, kappa: 0.7946, kb_relative_information_score: 2233.3916, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9535, predictive_accuracy: 0.9546, prior_entropy: 0.5848, recall: 0.9546, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.5354, scimark_benchmark: 1273.8956, usercpu_time_millis: 772.117, usercpu_time_millis_testing: 14.064, usercpu_time_millis_training: 758.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9665, kappa: 0.8576, kb_relative_information_score: 2573.0303, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9667, predictive_accuracy: 0.9674, prior_entropy: 0.5848, recall: 0.9674, relative_absolute_error: 0.2064, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.4657, scimark_benchmark: 1293.1031, usercpu_time_millis: 675.144, usercpu_time_millis_testing: 14.846, usercpu_time_millis_training: 660.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.965, kappa: 0.8511, kb_relative_information_score: 2448.0896, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9651, predictive_accuracy: 0.9658, prior_entropy: 0.5848, recall: 0.9658, relative_absolute_error: 0.2394, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.4972, scimark_benchmark: 1268.0056, usercpu_time_millis: 590.414, usercpu_time_millis_testing: 13.366, usercpu_time_millis_training: 577.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.972, kappa: 0.8817, kb_relative_information_score: 2573.0758, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9721, predictive_accuracy: 0.9726, prior_entropy: 0.5848, recall: 0.9726, relative_absolute_error: 0.186, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.4462, scimark_benchmark: 1246.5746, usercpu_time_millis: 532.231, usercpu_time_millis_testing: 4.075, usercpu_time_millis_training: 528.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9714, kappa: 0.8791, kb_relative_information_score: 2576.322, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9715, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.1882, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.4431, scimark_benchmark: 1252.5249, usercpu_time_millis: 3680.783, usercpu_time_millis_testing: 4.271, usercpu_time_millis_training: 3676.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9753, kappa: 0.8947, kb_relative_information_score: 2493.2707, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9758, predictive_accuracy: 0.9759, prior_entropy: 0.5848, recall: 0.9759, relative_absolute_error: 0.2391, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.4287, scimark_benchmark: 1266.9686, usercpu_time_millis: 309.65, usercpu_time_millis_testing: 8.751, usercpu_time_millis_training: 300.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9691, kappa: 0.8685, kb_relative_information_score: 2468.0131, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9693, predictive_accuracy: 0.9698, prior_entropy: 0.5848, recall: 0.9698, relative_absolute_error: 0.2356, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.4541, scimark_benchmark: 1274.8351, usercpu_time_millis: 2426.288, usercpu_time_millis_testing: 12.918, usercpu_time_millis_training: 2413.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9722, kappa: 0.8832, kb_relative_information_score: 2675.9954, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9721, predictive_accuracy: 0.9726, prior_entropy: 0.5848, recall: 0.9726, relative_absolute_error: 0.1509, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.4361, scimark_benchmark: 1271.6034, usercpu_time_millis: 652.766, usercpu_time_millis_testing: 2.836, usercpu_time_millis_training: 649.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9714, kappa: 0.8791, kb_relative_information_score: 2590.2057, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9715, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.1844, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.4354, scimark_benchmark: 1273.5953, usercpu_time_millis: 10373.919, usercpu_time_millis_testing: 6.877, usercpu_time_millis_training: 10367.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9639, kappa: 0.8464, kb_relative_information_score: 2395.2831, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9642, predictive_accuracy: 0.9649, prior_entropy: 0.5848, recall: 0.9649, relative_absolute_error: 0.2522, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.4829, scimark_benchmark: 1259.5422, usercpu_time_millis: 2158.911, usercpu_time_millis_testing: 10.224, usercpu_time_millis_training: 2148.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9721, kappa: 0.8819, kb_relative_information_score: 2617.7238, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9721, predictive_accuracy: 0.9726, prior_entropy: 0.5848, recall: 0.9726, relative_absolute_error: 0.177, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1477, root_relative_squared_error: 0.4256, scimark_benchmark: 1275.3733, usercpu_time_millis: 13416.044, usercpu_time_millis_testing: 10.886, usercpu_time_millis_training: 13405.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9653, kappa: 0.8528, kb_relative_information_score: 2481.33, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9654, predictive_accuracy: 0.9661, prior_entropy: 0.5848, recall: 0.9661, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.4642, scimark_benchmark: 1275.2381, usercpu_time_millis: 6467.28, usercpu_time_millis_testing: 11.67, usercpu_time_millis_training: 6455.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.943, kappa: 0.7456, kb_relative_information_score: 1968.4001, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.95, predictive_accuracy: 0.9479, prior_entropy: 0.5848, recall: 0.9479, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.5661, scimark_benchmark: 1248.7212, usercpu_time_millis: 30.941, usercpu_time_millis_testing: 2.892, usercpu_time_millis_training: 28.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.972, kappa: 0.8815, kb_relative_information_score: 2592.4106, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9721, predictive_accuracy: 0.9726, prior_entropy: 0.5848, recall: 0.9726, relative_absolute_error: 0.1868, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1501, root_relative_squared_error: 0.4326, scimark_benchmark: 1274.9718, usercpu_time_millis: 6614.36, usercpu_time_millis_testing: 8.817, usercpu_time_millis_training: 6605.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.796, kappa: 0.0037, kb_relative_information_score: 702.6731, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8798, predictive_accuracy: 0.8603, prior_entropy: 0.5848, recall: 0.8603, relative_absolute_error: 0.8729, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.8796, scimark_benchmark: 1261.157, usercpu_time_millis: 95.139, usercpu_time_millis_testing: 8.913, usercpu_time_millis_training: 86.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9752, kappa: 0.895, kb_relative_information_score: 2637.2898, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9753, predictive_accuracy: 0.9756, prior_entropy: 0.5848, recall: 0.9756, relative_absolute_error: 0.1792, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.4068, scimark_benchmark: 1269.6785, usercpu_time_millis: 2266.47, usercpu_time_millis_testing: 8.541, usercpu_time_millis_training: 2257.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9639, kappa: 0.8464, kb_relative_information_score: 2423.7871, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9642, predictive_accuracy: 0.9649, prior_entropy: 0.5848, recall: 0.9649, relative_absolute_error: 0.243, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.48, scimark_benchmark: 1271.9743, usercpu_time_millis: 1798.451, usercpu_time_millis_testing: 6.519, usercpu_time_millis_training: 1791.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.972, kappa: 0.8815, kb_relative_information_score: 2596.5224, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9721, predictive_accuracy: 0.9726, prior_entropy: 0.5848, recall: 0.9726, relative_absolute_error: 0.1851, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1486, root_relative_squared_error: 0.4283, scimark_benchmark: 1253.721, usercpu_time_millis: 4532.411, usercpu_time_millis_testing: 7.735, usercpu_time_millis_training: 4524.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9726, kappa: 0.8843, kb_relative_information_score: 2543.1024, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9727, predictive_accuracy: 0.9732, prior_entropy: 0.5848, recall: 0.9732, relative_absolute_error: 0.2026, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.4446, scimark_benchmark: 1241.3733, usercpu_time_millis: 619.599, usercpu_time_millis_testing: 3.861, usercpu_time_millis_training: 615.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9623, kappa: 0.8361, kb_relative_information_score: 2223.183, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.965, predictive_accuracy: 0.9643, prior_entropy: 0.5848, recall: 0.9643, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.17, root_relative_squared_error: 0.4899, scimark_benchmark: 1268.2934, usercpu_time_millis: 454.824, usercpu_time_millis_testing: 17.474, usercpu_time_millis_training: 437.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9722, kappa: 0.8828, kb_relative_information_score: 2666.7071, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9721, predictive_accuracy: 0.9726, prior_entropy: 0.5848, recall: 0.9726, relative_absolute_error: 0.1558, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.151, root_relative_squared_error: 0.4352, scimark_benchmark: 1257.0828, usercpu_time_millis: 383.981, usercpu_time_millis_testing: 2.695, usercpu_time_millis_training: 381.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9672, kappa: 0.8605, kb_relative_information_score: 2476.2516, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9674, predictive_accuracy: 0.968, prior_entropy: 0.5848, recall: 0.968, relative_absolute_error: 0.2294, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.4589, scimark_benchmark: 1244.9952, usercpu_time_millis: 2922.746, usercpu_time_millis_testing: 10.347, usercpu_time_millis_training: 2912.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9724, kappa: 0.8833, kb_relative_information_score: 2621.2182, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9724, predictive_accuracy: 0.9729, prior_entropy: 0.5848, recall: 0.9729, relative_absolute_error: 0.1781, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.4182, scimark_benchmark: 1245.956, usercpu_time_millis: 4104.901, usercpu_time_millis_testing: 8.348, usercpu_time_millis_training: 4096.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9528, kappa: 0.7958, kb_relative_information_score: 2228.5296, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9538, predictive_accuracy: 0.9549, prior_entropy: 0.5848, recall: 0.9549, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.535, scimark_benchmark: 1271.4587, usercpu_time_millis: 617.47, usercpu_time_millis_testing: 14.205, usercpu_time_millis_training: 603.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.965, kappa: 0.8511, kb_relative_information_score: 2448.4585, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9651, predictive_accuracy: 0.9658, prior_entropy: 0.5848, recall: 0.9658, relative_absolute_error: 0.2392, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.4971, scimark_benchmark: 1297.2424, usercpu_time_millis: 584.861, usercpu_time_millis_testing: 13.03, usercpu_time_millis_training: 571.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9713, kappa: 0.8781, kb_relative_information_score: 2492.4456, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9715, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.2256, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.4447, scimark_benchmark: 1247.77, usercpu_time_millis: 913.66, usercpu_time_millis_testing: 6.979, usercpu_time_millis_training: 906.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9633, kappa: 0.8437, kb_relative_information_score: 2390.3895, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9635, predictive_accuracy: 0.9643, prior_entropy: 0.5848, recall: 0.9643, relative_absolute_error: 0.2518, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.17, root_relative_squared_error: 0.4898, scimark_benchmark: 1265.0906, usercpu_time_millis: 471.869, usercpu_time_millis_testing: 4.987, usercpu_time_millis_training: 466.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.954, kappa: 0.8013, kb_relative_information_score: 2252.2605, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9552, predictive_accuracy: 0.9561, prior_entropy: 0.5848, recall: 0.9561, relative_absolute_error: 0.3068, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.5335, scimark_benchmark: 1295.7111, usercpu_time_millis: 482.112, usercpu_time_millis_testing: 11.056, usercpu_time_millis_training: 471.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9576, kappa: 0.8176, kb_relative_information_score: 2293.5324, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9582, predictive_accuracy: 0.9591, prior_entropy: 0.5848, recall: 0.9591, relative_absolute_error: 0.2912, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.5262, scimark_benchmark: 1291.9356, usercpu_time_millis: 523.226, usercpu_time_millis_testing: 12.552, usercpu_time_millis_training: 510.674,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9707, kappa: 0.8743, kb_relative_information_score: 2637.0198, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9716, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.1924, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.4436, scimark_benchmark: 1288.5537, usercpu_time_millis: 749.917, usercpu_time_millis_testing: 15.891, usercpu_time_millis_training: 734.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9525, kappa: 0.7946, kb_relative_information_score: 2236.1116, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9535, predictive_accuracy: 0.9546, prior_entropy: 0.5848, recall: 0.9546, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.5351, scimark_benchmark: 1257.0883, usercpu_time_millis: 685.411, usercpu_time_millis_testing: 11.409, usercpu_time_millis_training: 674.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9528, kappa: 0.7958, kb_relative_information_score: 2228.7439, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9538, predictive_accuracy: 0.9549, prior_entropy: 0.5848, recall: 0.9549, relative_absolute_error: 0.3148, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.535, scimark_benchmark: 1314.7203, usercpu_time_millis: 654.126, usercpu_time_millis_testing: 12.209, usercpu_time_millis_training: 641.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9743, kappa: 0.8918, kb_relative_information_score: 2651.6372, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9743, predictive_accuracy: 0.9747, prior_entropy: 0.5848, recall: 0.9747, relative_absolute_error: 0.1663, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.145, root_relative_squared_error: 0.4178, scimark_benchmark: 1245.6592, usercpu_time_millis: 9398.129, usercpu_time_millis_testing: 7.162, usercpu_time_millis_training: 9390.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9642, kappa: 0.8475, kb_relative_information_score: 2458.0906, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9645, predictive_accuracy: 0.9652, prior_entropy: 0.5848, recall: 0.9652, relative_absolute_error: 0.2333, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.4702, scimark_benchmark: 1236.9418, usercpu_time_millis: 1848.481, usercpu_time_millis_testing: 5.657, usercpu_time_millis_training: 1842.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9704, kappa: 0.8733, kb_relative_information_score: 2631.0393, mean_absolute_error: 0.0462, 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: 0.1918, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.4441, scimark_benchmark: 1278.8344, usercpu_time_millis: 780.402, usercpu_time_millis_testing: 15.992, usercpu_time_millis_training: 764.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.9632, kappa: 0.8431, kb_relative_information_score: 2361.9925, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9636, predictive_accuracy: 0.9643, prior_entropy: 0.5848, recall: 0.9643, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.5177, scimark_benchmark: 1271.0883, usercpu_time_millis: 561.61, usercpu_time_millis_testing: 12.356, usercpu_time_millis_training: 549.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9528, kappa: 0.7958, kb_relative_information_score: 2228.5573, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9538, predictive_accuracy: 0.9549, prior_entropy: 0.5848, recall: 0.9549, relative_absolute_error: 0.3149, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.535, scimark_benchmark: 1280.0861, usercpu_time_millis: 582.731, usercpu_time_millis_testing: 11.43, usercpu_time_millis_training: 571.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9743, kappa: 0.8918, kb_relative_information_score: 2656.7537, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9743, predictive_accuracy: 0.9747, prior_entropy: 0.5848, recall: 0.9747, relative_absolute_error: 0.1667, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.4113, scimark_benchmark: 1257.3734, usercpu_time_millis: 5835.287, usercpu_time_millis_testing: 7.658, usercpu_time_millis_training: 5827.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9752, kappa: 0.8952, kb_relative_information_score: 2643.9267, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9753, predictive_accuracy: 0.9756, prior_entropy: 0.5848, recall: 0.9756, relative_absolute_error: 0.1757, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.4067, scimark_benchmark: 1301.8207, usercpu_time_millis: 1924.377, usercpu_time_millis_testing: 6.296, usercpu_time_millis_training: 1918.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9748, kappa: 0.8936, kb_relative_information_score: 2576.8358, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.975, predictive_accuracy: 0.9753, prior_entropy: 0.5848, recall: 0.9753, relative_absolute_error: 0.2028, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.4163, scimark_benchmark: 1305.5746, usercpu_time_millis: 360.671, usercpu_time_millis_testing: 4.837, usercpu_time_millis_training: 355.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.963, kappa: 0.8425, kb_relative_information_score: 2384.145, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9632, predictive_accuracy: 0.964, prior_entropy: 0.5848, recall: 0.964, relative_absolute_error: 0.2603, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.5106, scimark_benchmark: 1291.4201, usercpu_time_millis: 520.987, usercpu_time_millis_testing: 11.025, usercpu_time_millis_training: 509.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9528, kappa: 0.7958, kb_relative_information_score: 2228.1163, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9538, predictive_accuracy: 0.9549, prior_entropy: 0.5848, recall: 0.9549, relative_absolute_error: 0.3151, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.535, scimark_benchmark: 1295.2693, usercpu_time_millis: 685.111, usercpu_time_millis_testing: 14.341, usercpu_time_millis_training: 670.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.963, kappa: 0.8425, kb_relative_information_score: 2404.2367, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9632, predictive_accuracy: 0.964, prior_entropy: 0.5848, recall: 0.964, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.5092, scimark_benchmark: 1289.8442, usercpu_time_millis: 527.775, usercpu_time_millis_testing: 12.013, usercpu_time_millis_training: 515.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.9632, kappa: 0.8431, kb_relative_information_score: 2362.1697, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9636, predictive_accuracy: 0.9643, prior_entropy: 0.5848, recall: 0.9643, relative_absolute_error: 0.2666, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.5177, scimark_benchmark: 1274.0354, usercpu_time_millis: 515.916, usercpu_time_millis_testing: 12.173, usercpu_time_millis_training: 503.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9728, kappa: 0.8854, kb_relative_information_score: 2642.9519, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9727, predictive_accuracy: 0.9732, prior_entropy: 0.5848, recall: 0.9732, relative_absolute_error: 0.1619, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.4308, scimark_benchmark: 1272.1189, usercpu_time_millis: 14453.993, usercpu_time_millis_testing: 7.753, usercpu_time_millis_training: 14446.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9736, kappa: 0.8882, kb_relative_information_score: 2566.2896, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9737, predictive_accuracy: 0.9741, prior_entropy: 0.5848, recall: 0.9741, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.4246, scimark_benchmark: 1267.8288, usercpu_time_millis: 3396.823, usercpu_time_millis_testing: 11.841, usercpu_time_millis_training: 3384.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9727, kappa: 0.8848, kb_relative_information_score: 2622.4101, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9727, predictive_accuracy: 0.9732, prior_entropy: 0.5848, recall: 0.9732, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.4243, scimark_benchmark: 1249.5066, usercpu_time_millis: 5568.713, usercpu_time_millis_testing: 6.105, usercpu_time_millis_training: 5562.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9729, kappa: 0.8855, kb_relative_information_score: 2549.7952, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9731, predictive_accuracy: 0.9735, prior_entropy: 0.5848, recall: 0.9735, relative_absolute_error: 0.2024, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.4321, scimark_benchmark: 1269.2546, usercpu_time_millis: 328.288, usercpu_time_millis_testing: 3.979, usercpu_time_millis_training: 324.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9645, kappa: 0.8487, kb_relative_information_score: 2541.0731, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9649, predictive_accuracy: 0.9655, prior_entropy: 0.5848, recall: 0.9655, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.4695, scimark_benchmark: 1302.5908, usercpu_time_millis: 585.306, usercpu_time_millis_testing: 12.588, usercpu_time_millis_training: 572.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.9631, kappa: 0.8428, kb_relative_information_score: 2423.5628, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9632, predictive_accuracy: 0.964, prior_entropy: 0.5848, recall: 0.964, relative_absolute_error: 0.2465, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.5022, scimark_benchmark: 1275.616, usercpu_time_millis: 534.594, usercpu_time_millis_testing: 11.463, usercpu_time_millis_training: 523.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.9639, kappa: 0.8458, kb_relative_information_score: 2361.5073, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9642, predictive_accuracy: 0.9649, prior_entropy: 0.5848, recall: 0.9649, relative_absolute_error: 0.268, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.5173, scimark_benchmark: 1288.0807, usercpu_time_millis: 576.308, usercpu_time_millis_testing: 12.357, usercpu_time_millis_training: 563.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9705, kappa: 0.8738, kb_relative_information_score: 2625.6283, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9711, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.1927, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.4464, scimark_benchmark: 1285.9987, usercpu_time_millis: 667.729, usercpu_time_millis_testing: 14.515, usercpu_time_millis_training: 653.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9754, kappa: 0.896, kb_relative_information_score: 2579.3353, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9756, predictive_accuracy: 0.9759, prior_entropy: 0.5848, recall: 0.9759, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.4125, scimark_benchmark: 1272.0317, usercpu_time_millis: 2776.931, usercpu_time_millis_testing: 15.663, usercpu_time_millis_training: 2761.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.9604, kappa: 0.8297, kb_relative_information_score: 2305.152, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9612, predictive_accuracy: 0.9619, prior_entropy: 0.5848, recall: 0.9619, relative_absolute_error: 0.289, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.5226, scimark_benchmark: 1278.3552, usercpu_time_millis: 496.568, usercpu_time_millis_testing: 12.843, usercpu_time_millis_training: 483.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9711, kappa: 0.8776, kb_relative_information_score: 2555.3294, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9712, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.4433, scimark_benchmark: 1269.8126, usercpu_time_millis: 13139.298, usercpu_time_millis_testing: 13.29, usercpu_time_millis_training: 13126.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9701, kappa: 0.8721, kb_relative_information_score: 2626.054, mean_absolute_error: 0.0463, 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: 0.1923, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.4453, scimark_benchmark: 1258.5287, usercpu_time_millis: 753.403, usercpu_time_millis_testing: 16.454, usercpu_time_millis_training: 736.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9541, kappa: 0.8017, kb_relative_information_score: 2259.5054, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9551, predictive_accuracy: 0.9561, prior_entropy: 0.5848, recall: 0.9561, relative_absolute_error: 0.3038, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.185, root_relative_squared_error: 0.5332, scimark_benchmark: 1303.5582, usercpu_time_millis: 594.984, usercpu_time_millis_testing: 14.304, usercpu_time_millis_training: 580.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9528, kappa: 0.7958, kb_relative_information_score: 2228.3056, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9538, predictive_accuracy: 0.9549, prior_entropy: 0.5848, recall: 0.9549, relative_absolute_error: 0.3151, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.535, scimark_benchmark: 1315.2524, usercpu_time_millis: 586.606, usercpu_time_millis_testing: 12.221, usercpu_time_millis_training: 574.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9729, kappa: 0.8849, kb_relative_information_score: 2502.9728, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9731, predictive_accuracy: 0.9735, prior_entropy: 0.5848, recall: 0.9735, relative_absolute_error: 0.2221, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.4448, scimark_benchmark: 1238.021, usercpu_time_millis: 601.769, usercpu_time_millis_testing: 5.608, usercpu_time_millis_training: 596.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.97, kappa: 0.8716, kb_relative_information_score: 2634.0242, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9709, predictive_accuracy: 0.971, prior_entropy: 0.5848, recall: 0.971, relative_absolute_error: 0.1927, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.4441, scimark_benchmark: 1289.4123, usercpu_time_millis: 826.221, usercpu_time_millis_testing: 17.431, usercpu_time_millis_training: 808.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.9525, kappa: 0.7946, kb_relative_information_score: 2230.0299, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9535, predictive_accuracy: 0.9546, prior_entropy: 0.5848, recall: 0.9546, relative_absolute_error: 0.3135, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.5355, scimark_benchmark: 1295.3606, usercpu_time_millis: 684.045, usercpu_time_millis_testing: 11.876, usercpu_time_millis_training: 672.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9714, kappa: 0.8791, kb_relative_information_score: 2556.8004, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9715, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.4456, scimark_benchmark: 1247.2742, usercpu_time_millis: 7209.075, usercpu_time_millis_testing: 7.389, usercpu_time_millis_training: 7201.686,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs