Task
Supervised Classification on Internet-Advertisements

Supervised Classification on Internet-Advertisements

Task 146085 Supervised Classification Internet-Advertisements 12645 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.8452, kappa: 0.2556, kb_relative_information_score: 930.5986, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8938, predictive_accuracy: 0.8829, prior_entropy: 0.5848, recall: 0.8829, relative_absolute_error: 0.7898, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.283, root_relative_squared_error: 0.8157, scimark_benchmark: 1270.7339, usercpu_time_millis: 2991.455, usercpu_time_millis_testing: 1.96, usercpu_time_millis_training: 2989.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2604, f_measure: 0.7953, kb_relative_information_score: -7091.946, mean_absolute_error: 0.4811, 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: 1.9969, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.4817, root_relative_squared_error: 1.3883, scimark_benchmark: 1250.8337, usercpu_time_millis: 57.408, usercpu_time_millis_testing: 0.92, usercpu_time_millis_training: 56.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9669, kappa: 0.8571, kb_relative_information_score: 2019.7661, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9685, predictive_accuracy: 0.9683, prior_entropy: 0.5848, recall: 0.9683, relative_absolute_error: 0.3769, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.5025, scimark_benchmark: 1247.5165, usercpu_time_millis: 335.287, usercpu_time_millis_testing: 0.861, usercpu_time_millis_training: 334.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9711, kappa: 0.877, kb_relative_information_score: 2657.2267, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9717, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.1864, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.4248, scimark_benchmark: 1250.0411, usercpu_time_millis: 396.042, usercpu_time_millis_testing: 0.887, usercpu_time_millis_training: 395.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.8558, kappa: 0.3107, kb_relative_information_score: 149.1963, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8951, predictive_accuracy: 0.8881, prior_entropy: 0.5848, recall: 0.8881, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.8461, scimark_benchmark: 1269.5231, usercpu_time_millis: 2753.416, usercpu_time_millis_testing: 0.911, usercpu_time_millis_training: 2752.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.907, kappa: 0.5796, kb_relative_information_score: 1270.6956, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9132, predictive_accuracy: 0.917, prior_entropy: 0.5848, recall: 0.917, relative_absolute_error: 0.6007, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.7492, scimark_benchmark: 1237.6137, usercpu_time_millis: 2572.87, usercpu_time_millis_testing: 0.895, usercpu_time_millis_training: 2571.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7771, f_measure: 0.7953, kb_relative_information_score: -764.1996, mean_absolute_error: 0.2551, 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: 1.0586, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.9883, scimark_benchmark: 1251.3735, usercpu_time_millis: 4954.329, usercpu_time_millis_testing: 2.28, usercpu_time_millis_training: 4952.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.9046, kappa: 0.5674, kb_relative_information_score: 1140.5588, mean_absolute_error: 0.1523, 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: 0.632, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.271, root_relative_squared_error: 0.781, scimark_benchmark: 1277.0715, usercpu_time_millis: 2385.645, usercpu_time_millis_testing: 1.01, usercpu_time_millis_training: 2384.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.9012, kappa: 0.5418, kb_relative_information_score: 840.1055, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9207, predictive_accuracy: 0.9161, prior_entropy: 0.5848, recall: 0.9161, relative_absolute_error: 0.7567, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2805, root_relative_squared_error: 0.8083, scimark_benchmark: 1255.1648, usercpu_time_millis: 7244.88, usercpu_time_millis_testing: 2.491, usercpu_time_millis_training: 7242.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.7953, kb_relative_information_score: -536.0467, mean_absolute_error: 0.2507, 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: 1.0404, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3472, root_relative_squared_error: 1.0008, scimark_benchmark: 1256.0902, usercpu_time_millis: 2735.585, usercpu_time_millis_testing: 1.566, usercpu_time_millis_training: 2734.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7398, f_measure: 0.8969, kappa: 0.5277, kb_relative_information_score: 383.1052, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9068, predictive_accuracy: 0.9103, prior_entropy: 0.5848, recall: 0.9103, relative_absolute_error: 0.8772, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.8602, scimark_benchmark: 1270.3227, usercpu_time_millis: 4968.612, usercpu_time_millis_testing: 0.852, usercpu_time_millis_training: 4967.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.9161, kappa: 0.6225, kb_relative_information_score: 1492.9754, mean_absolute_error: 0.1327, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9219, predictive_accuracy: 0.9244, prior_entropy: 0.5848, recall: 0.9244, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.6993, scimark_benchmark: 1261.9015, usercpu_time_millis: 8272.381, usercpu_time_millis_testing: 0.767, usercpu_time_millis_training: 8271.614,
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: 1252.7825, usercpu_time_millis: 2518.655, usercpu_time_millis_testing: 1.493, usercpu_time_millis_training: 2517.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9429, kappa: 0.7479, kb_relative_information_score: 1922.0737, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9468, predictive_accuracy: 0.9469, prior_entropy: 0.5848, recall: 0.9469, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.209, root_relative_squared_error: 0.6023, scimark_benchmark: 1250.4272, usercpu_time_millis: 4263.073, usercpu_time_millis_testing: 0.925, usercpu_time_millis_training: 4262.148,
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: 1256.0112, usercpu_time_millis: 2327.052, usercpu_time_millis_testing: 1.322, usercpu_time_millis_training: 2325.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.7953, kb_relative_information_score: -200.5315, mean_absolute_error: 0.2419, 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: 1.0038, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.321, root_relative_squared_error: 0.9252, scimark_benchmark: 1253.3076, usercpu_time_millis: 4033.364, usercpu_time_millis_testing: 2.105, usercpu_time_millis_training: 4031.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.9114, kappa: 0.5999, kb_relative_information_score: 1415.6493, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9178, predictive_accuracy: 0.9207, prior_entropy: 0.5848, recall: 0.9207, relative_absolute_error: 0.5691, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.7189, scimark_benchmark: 1251.4639, usercpu_time_millis: 10487.409, usercpu_time_millis_testing: 0.968, usercpu_time_millis_training: 10486.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.9135, kappa: 0.6112, kb_relative_information_score: 1440.0685, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9186, predictive_accuracy: 0.9219, prior_entropy: 0.5848, recall: 0.9219, relative_absolute_error: 0.5662, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.7142, scimark_benchmark: 1246.2023, usercpu_time_millis: 2631.931, usercpu_time_millis_testing: 0.933, usercpu_time_millis_training: 2630.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.956, kappa: 0.8131, kb_relative_information_score: 2382.8854, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9558, predictive_accuracy: 0.957, prior_entropy: 0.5848, recall: 0.957, relative_absolute_error: 0.2397, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.5558, scimark_benchmark: 1254.5776, usercpu_time_millis: 2094.8, usercpu_time_millis_testing: 1.649, usercpu_time_millis_training: 2093.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.754, f_measure: 0.9082, kappa: 0.5807, kb_relative_information_score: 726.9023, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9189, predictive_accuracy: 0.9195, prior_entropy: 0.5848, recall: 0.9195, relative_absolute_error: 0.7786, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2842, root_relative_squared_error: 0.819, scimark_benchmark: 1271.9953, usercpu_time_millis: 3580.367, usercpu_time_millis_testing: 0.824, usercpu_time_millis_training: 3579.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9691, kappa: 0.8703, kb_relative_information_score: 2665.9295, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.969, predictive_accuracy: 0.9695, prior_entropy: 0.5848, recall: 0.9695, relative_absolute_error: 0.155, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.16, root_relative_squared_error: 0.4613, scimark_benchmark: 1250.1843, usercpu_time_millis: 1379.464, usercpu_time_millis_testing: 1.041, usercpu_time_millis_training: 1378.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.7953, kb_relative_information_score: -6684.0195, mean_absolute_error: 0.458, 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: 1.9009, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.4595, root_relative_squared_error: 1.3244, scimark_benchmark: 1252.2275, usercpu_time_millis: 319.737, usercpu_time_millis_testing: 1.153, usercpu_time_millis_training: 318.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9732, kappa: 0.8865, kb_relative_information_score: 2736.0105, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9734, predictive_accuracy: 0.9738, prior_entropy: 0.5848, recall: 0.9738, relative_absolute_error: 0.1411, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.4473, scimark_benchmark: 1254.3594, usercpu_time_millis: 3436.383, usercpu_time_millis_testing: 1.975, usercpu_time_millis_training: 3434.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.9467, kappa: 0.765, kb_relative_information_score: 2065.5248, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9505, predictive_accuracy: 0.9503, prior_entropy: 0.5848, recall: 0.9503, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.5672, scimark_benchmark: 1251.9396, usercpu_time_millis: 4712.073, usercpu_time_millis_testing: 0.851, usercpu_time_millis_training: 4711.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7883, f_measure: 0.7953, kb_relative_information_score: -100.5708, 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: 0.9552, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.9546, scimark_benchmark: 1268.1908, usercpu_time_millis: 3631.38, usercpu_time_millis_testing: 1.924, usercpu_time_millis_training: 3629.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9643, kappa: 0.8467, kb_relative_information_score: 2423.1197, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9651, predictive_accuracy: 0.9655, prior_entropy: 0.5848, recall: 0.9655, relative_absolute_error: 0.262, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.4887, scimark_benchmark: 1271.2492, usercpu_time_millis: 2435.824, usercpu_time_millis_testing: 1.577, usercpu_time_millis_training: 2434.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.9405, kappa: 0.7364, kb_relative_information_score: 1844.5764, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9453, predictive_accuracy: 0.9451, prior_entropy: 0.5848, recall: 0.9451, relative_absolute_error: 0.4515, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.6256, scimark_benchmark: 1278.5281, usercpu_time_millis: 2418.614, usercpu_time_millis_testing: 1.083, usercpu_time_millis_training: 2417.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7953, kb_relative_information_score: -250.6495, mean_absolute_error: 0.2454, 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: 1.0184, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1.0002, scimark_benchmark: 1253.6024, usercpu_time_millis: 4745.327, usercpu_time_millis_testing: 2.197, usercpu_time_millis_training: 4743.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7817, f_measure: 0.9046, kappa: 0.5621, kb_relative_information_score: 454.8167, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9178, predictive_accuracy: 0.9174, prior_entropy: 0.5848, recall: 0.9174, relative_absolute_error: 0.7714, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.8454, scimark_benchmark: 1243.4775, usercpu_time_millis: 1528.344, usercpu_time_millis_testing: 1.603, usercpu_time_millis_training: 1526.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.9354, kappa: 0.711, kb_relative_information_score: 1752.245, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9421, predictive_accuracy: 0.9411, prior_entropy: 0.5848, recall: 0.9411, relative_absolute_error: 0.4941, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.6351, scimark_benchmark: 1251.6725, usercpu_time_millis: 2349.694, usercpu_time_millis_testing: 1.568, usercpu_time_millis_training: 2348.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.9086, kappa: 0.5787, kb_relative_information_score: 923.0652, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9254, predictive_accuracy: 0.9213, prior_entropy: 0.5848, recall: 0.9213, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.276, root_relative_squared_error: 0.7955, scimark_benchmark: 1255.4786, usercpu_time_millis: 2264.492, usercpu_time_millis_testing: 1.521, usercpu_time_millis_training: 2262.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.9084, kappa: 0.5865, kb_relative_information_score: 1255.3713, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9141, predictive_accuracy: 0.918, prior_entropy: 0.5848, recall: 0.918, relative_absolute_error: 0.6062, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.7505, scimark_benchmark: 1254.5091, usercpu_time_millis: 3624.935, usercpu_time_millis_testing: 0.914, usercpu_time_millis_training: 3624.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.847, kappa: 0.2645, kb_relative_information_score: -301.6759, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8946, predictive_accuracy: 0.8838, prior_entropy: 0.5848, recall: 0.8838, relative_absolute_error: 0.9616, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.8442, scimark_benchmark: 1244.166, usercpu_time_millis: 777.813, usercpu_time_millis_testing: 0.915, usercpu_time_millis_training: 776.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9625, kappa: 0.8371, kb_relative_information_score: 2367.8699, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9647, predictive_accuracy: 0.9643, prior_entropy: 0.5848, recall: 0.9643, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.4879, scimark_benchmark: 1284.4053, usercpu_time_millis: 5354.365, usercpu_time_millis_testing: 0.85, usercpu_time_millis_training: 5353.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.9568, kappa: 0.8132, kb_relative_information_score: 2219.6426, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9583, predictive_accuracy: 0.9588, prior_entropy: 0.5848, recall: 0.9588, relative_absolute_error: 0.325, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.5386, scimark_benchmark: 1293.4143, usercpu_time_millis: 15629.692, usercpu_time_millis_testing: 4.804, usercpu_time_millis_training: 15624.888,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9498, kappa: 0.7802, kb_relative_information_score: 2162.2403, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9524, predictive_accuracy: 0.9527, prior_entropy: 0.5848, recall: 0.9527, relative_absolute_error: 0.3472, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.5557, scimark_benchmark: 1257.8926, usercpu_time_millis: 3094.926, usercpu_time_millis_testing: 1.877, usercpu_time_millis_training: 3093.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.9486, kappa: 0.7776, kb_relative_information_score: 2051.6037, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9495, predictive_accuracy: 0.9509, prior_entropy: 0.5848, recall: 0.9509, relative_absolute_error: 0.3593, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.205, root_relative_squared_error: 0.5908, scimark_benchmark: 1270.2858, usercpu_time_millis: 4529.126, usercpu_time_millis_testing: 2.489, usercpu_time_millis_training: 4526.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9557, kappa: 0.8058, kb_relative_information_score: 2135.4706, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9595, predictive_accuracy: 0.9585, prior_entropy: 0.5848, recall: 0.9585, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.5229, scimark_benchmark: 1279.0536, usercpu_time_millis: 4631.064, usercpu_time_millis_testing: 0.931, usercpu_time_millis_training: 4630.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.7953, kb_relative_information_score: -1247.008, mean_absolute_error: 0.264, 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: 1.0957, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.9659, scimark_benchmark: 1292.0038, usercpu_time_millis: 2951.041, usercpu_time_millis_testing: 1.716, usercpu_time_millis_training: 2949.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9718, kappa: 0.8799, kb_relative_information_score: 2666.5316, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9723, predictive_accuracy: 0.9726, prior_entropy: 0.5848, recall: 0.9726, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.4232, scimark_benchmark: 1294.6853, usercpu_time_millis: 2841.129, usercpu_time_millis_testing: 0.986, usercpu_time_millis_training: 2840.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8997, kappa: 0.534, kb_relative_information_score: 1447.7113, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9203, predictive_accuracy: 0.9152, prior_entropy: 0.5848, recall: 0.9152, relative_absolute_error: 0.5831, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.7067, scimark_benchmark: 1294.8087, usercpu_time_millis: 4715.266, usercpu_time_millis_testing: 2.285, usercpu_time_millis_training: 4712.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.9254, kappa: 0.6634, kb_relative_information_score: 1527.7094, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9344, predictive_accuracy: 0.9332, prior_entropy: 0.5848, recall: 0.9332, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.6879, scimark_benchmark: 1290.3263, usercpu_time_millis: 7360.824, usercpu_time_millis_testing: 2.303, usercpu_time_millis_training: 7358.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.919, kappa: 0.6363, kb_relative_information_score: 1555.1303, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9247, predictive_accuracy: 0.9268, prior_entropy: 0.5848, recall: 0.9268, relative_absolute_error: 0.5361, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.238, root_relative_squared_error: 0.686, scimark_benchmark: 1278.1964, usercpu_time_millis: 4936.925, usercpu_time_millis_testing: 0.902, usercpu_time_millis_training: 4936.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9358, kappa: 0.7114, kb_relative_information_score: 1616.1188, mean_absolute_error: 0.1497, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9447, predictive_accuracy: 0.9421, prior_entropy: 0.5848, recall: 0.9421, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.6275, scimark_benchmark: 1298.7984, usercpu_time_millis: 1486.653, usercpu_time_millis_testing: 2.645, usercpu_time_millis_training: 1484.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.9359, kappa: 0.7153, kb_relative_information_score: 1704.0773, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.941, predictive_accuracy: 0.9411, prior_entropy: 0.5848, recall: 0.9411, relative_absolute_error: 0.5033, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.6446, scimark_benchmark: 1266.0496, usercpu_time_millis: 694.217, usercpu_time_millis_testing: 1.122, usercpu_time_millis_training: 693.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9698, kappa: 0.8709, kb_relative_information_score: 2349.3281, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9705, predictive_accuracy: 0.9707, prior_entropy: 0.5848, recall: 0.9707, relative_absolute_error: 0.2984, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.4732, scimark_benchmark: 1267.2464, usercpu_time_millis: 5101.549, usercpu_time_millis_testing: 1.777, usercpu_time_millis_training: 5099.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9596, kappa: 0.8235, kb_relative_information_score: 2013.9871, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9627, predictive_accuracy: 0.9619, prior_entropy: 0.5848, recall: 0.9619, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.5232, scimark_benchmark: 1297.1087, usercpu_time_millis: 3609.31, usercpu_time_millis_testing: 0.888, usercpu_time_millis_training: 3608.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9636, kappa: 0.8439, kb_relative_information_score: 2496.8662, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9644, predictive_accuracy: 0.9649, prior_entropy: 0.5848, recall: 0.9649, relative_absolute_error: 0.2365, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.4734, scimark_benchmark: 1268.2934, usercpu_time_millis: 11338.196, usercpu_time_millis_testing: 4.368, usercpu_time_millis_training: 11333.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.9643, kappa: 0.8493, kb_relative_information_score: 2519.6161, mean_absolute_error: 0.0493, 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: 0.2045, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.176, root_relative_squared_error: 0.5072, scimark_benchmark: 1294.6687, usercpu_time_millis: 3449.127, usercpu_time_millis_testing: 1.84, usercpu_time_millis_training: 3447.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.973, kappa: 0.8845, kb_relative_information_score: 2515.524, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9737, predictive_accuracy: 0.9738, prior_entropy: 0.5848, recall: 0.9738, relative_absolute_error: 0.2428, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.4488, scimark_benchmark: 1272.3089, usercpu_time_millis: 17393.427, usercpu_time_millis_testing: 7.81, usercpu_time_millis_training: 17385.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.9509, kappa: 0.784, kb_relative_information_score: 1783.7118, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9551, predictive_accuracy: 0.9543, prior_entropy: 0.5848, recall: 0.9543, relative_absolute_error: 0.4982, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.5905, scimark_benchmark: 1296.7925, usercpu_time_millis: 4647.141, usercpu_time_millis_testing: 0.836, usercpu_time_millis_training: 4646.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.9046, kappa: 0.5674, kb_relative_information_score: 1087.4079, mean_absolute_error: 0.1562, 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: 0.6481, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.7903, scimark_benchmark: 1257.3298, usercpu_time_millis: 8285.953, usercpu_time_millis_testing: 1.008, usercpu_time_millis_training: 8284.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.799, kappa: 0.0186, kb_relative_information_score: -609.1774, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8807, predictive_accuracy: 0.8615, prior_entropy: 0.5848, recall: 0.8615, relative_absolute_error: 1.0092, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.8497, scimark_benchmark: 1262.9553, usercpu_time_millis: 9543.685, usercpu_time_millis_testing: 3.19, usercpu_time_millis_training: 9540.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.9052, kappa: 0.5616, kb_relative_information_score: 1300.9381, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9243, predictive_accuracy: 0.9192, prior_entropy: 0.5848, recall: 0.9192, relative_absolute_error: 0.6595, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.7289, scimark_benchmark: 1273.8059, usercpu_time_millis: 7072.961, usercpu_time_millis_testing: 2.557, usercpu_time_millis_training: 7070.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.974, kappa: 0.8893, kb_relative_information_score: 2650.3444, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9745, predictive_accuracy: 0.9747, prior_entropy: 0.5848, recall: 0.9747, relative_absolute_error: 0.1865, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.4219, scimark_benchmark: 1265.7808, usercpu_time_millis: 4409.423, usercpu_time_millis_testing: 0.945, usercpu_time_millis_training: 4408.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.9048, kappa: 0.5594, kb_relative_information_score: 1500.5452, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.924, predictive_accuracy: 0.9189, prior_entropy: 0.5848, recall: 0.9189, relative_absolute_error: 0.6144, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2412, root_relative_squared_error: 0.695, scimark_benchmark: 1288.2793, usercpu_time_millis: 3572.228, usercpu_time_millis_testing: 2.45, usercpu_time_millis_training: 3569.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.9118, kappa: 0.5982, kb_relative_information_score: 1241.7435, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9219, predictive_accuracy: 0.9222, prior_entropy: 0.5848, recall: 0.9222, relative_absolute_error: 0.6001, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2576, root_relative_squared_error: 0.7424, scimark_benchmark: 1284.4127, usercpu_time_millis: 2794.333, usercpu_time_millis_testing: 1.808, usercpu_time_millis_training: 2792.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, f_measure: 0.7953, kb_relative_information_score: -2094.9843, mean_absolute_error: 0.2842, 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: 1.1795, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.9564, scimark_benchmark: 1248.7626, usercpu_time_millis: 8192.662, usercpu_time_millis_testing: 2.482, usercpu_time_millis_training: 8190.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.9358, kappa: 0.7114, kb_relative_information_score: 1551.5951, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9447, predictive_accuracy: 0.9421, prior_entropy: 0.5848, recall: 0.9421, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.6383, scimark_benchmark: 1256.6677, usercpu_time_millis: 8895.439, usercpu_time_millis_testing: 0.889, usercpu_time_millis_training: 8894.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.9322, kappa: 0.6973, kb_relative_information_score: 1771.2582, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9379, predictive_accuracy: 0.9381, prior_entropy: 0.5848, recall: 0.9381, relative_absolute_error: 0.4753, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.6393, scimark_benchmark: 1250.542, usercpu_time_millis: 7668.764, usercpu_time_millis_testing: 1.145, usercpu_time_millis_training: 7667.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9429, kappa: 0.7479, kb_relative_information_score: 1924.701, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9468, predictive_accuracy: 0.9469, prior_entropy: 0.5848, recall: 0.9469, relative_absolute_error: 0.4347, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.6017, scimark_benchmark: 1272.2198, usercpu_time_millis: 6776.262, usercpu_time_millis_testing: 0.845, usercpu_time_millis_training: 6775.417,
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: 1249.0974, usercpu_time_millis: 8320.058, usercpu_time_millis_testing: 2.602, usercpu_time_millis_training: 8317.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.9444, kappa: 0.7535, kb_relative_information_score: -51.2913, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9499, predictive_accuracy: 0.9488, prior_entropy: 0.5848, recall: 0.9488, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.7202, scimark_benchmark: 1294.5348, usercpu_time_millis: 503.332, usercpu_time_millis_testing: 0.958, usercpu_time_millis_training: 502.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.972, kappa: 0.8812, kb_relative_information_score: 2633.1607, mean_absolute_error: 0.0433, 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: 0.1798, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.458, scimark_benchmark: 1294.1441, usercpu_time_millis: 870.523, usercpu_time_millis_testing: 1.171, usercpu_time_millis_training: 869.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9695, kappa: 0.8719, kb_relative_information_score: 2655.2879, mean_absolute_error: 0.0383, 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: 0.1591, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.4642, scimark_benchmark: 1261.2985, usercpu_time_millis: 10428.429, usercpu_time_millis_testing: 0.719, usercpu_time_millis_training: 10427.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.9125, kappa: 0.5979, kb_relative_information_score: 1277.8849, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9289, predictive_accuracy: 0.9244, prior_entropy: 0.5848, recall: 0.9244, relative_absolute_error: 0.6798, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.7182, scimark_benchmark: 1266.1395, usercpu_time_millis: 3577.7, usercpu_time_millis_testing: 2.434, usercpu_time_millis_training: 3575.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.9083, kappa: 0.5792, kb_relative_information_score: 1073.3636, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9221, predictive_accuracy: 0.9204, prior_entropy: 0.5848, recall: 0.9204, relative_absolute_error: 0.664, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2676, root_relative_squared_error: 0.7713, scimark_benchmark: 1248.5077, usercpu_time_millis: 10174.988, usercpu_time_millis_testing: 3.532, usercpu_time_millis_training: 10171.456,

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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