Task
Supervised Classification on bank-marketing

Supervised Classification on bank-marketing

Task 145833 Supervised Classification bank-marketing 22645 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8814, kappa: 0.3532, kb_relative_information_score: 5831.0453, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8836, predictive_accuracy: 0.8999, prior_entropy: 0.5207, recall: 0.8999, relative_absolute_error: 0.6994, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.8127, scimark_benchmark: 1762.2298, usercpu_time_millis: 486.478, usercpu_time_millis_testing: 20.153, usercpu_time_millis_training: 466.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.8997, kappa: 0.4857, kb_relative_information_score: 9437.2171, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8968, predictive_accuracy: 0.9062, prior_entropy: 0.5207, recall: 0.9062, relative_absolute_error: 0.623, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2525, root_relative_squared_error: 0.7856, scimark_benchmark: 1815.4751, usercpu_time_millis: 455.085, usercpu_time_millis_testing: 9.795, usercpu_time_millis_training: 445.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.8658, kappa: 0.2517, kb_relative_information_score: 5213.2767, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8706, predictive_accuracy: 0.8925, prior_entropy: 0.5207, recall: 0.8925, relative_absolute_error: 0.7191, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2687, root_relative_squared_error: 0.836, scimark_benchmark: 1826.744, usercpu_time_millis: 433.688, usercpu_time_millis_testing: 13.53, usercpu_time_millis_training: 420.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.8771, kappa: 0.3354, kb_relative_information_score: 5286.5505, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8754, predictive_accuracy: 0.8945, prior_entropy: 0.5207, recall: 0.8945, relative_absolute_error: 0.6999, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.8262, scimark_benchmark: 1733.1863, usercpu_time_millis: 461.53, usercpu_time_millis_testing: 9.433, usercpu_time_millis_training: 452.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.8857, kappa: 0.3917, kb_relative_information_score: 6392.2019, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8835, predictive_accuracy: 0.899, prior_entropy: 0.5207, recall: 0.899, relative_absolute_error: 0.6795, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.261, root_relative_squared_error: 0.8121, scimark_benchmark: 1745.4001, usercpu_time_millis: 406.527, usercpu_time_millis_testing: 11.627, usercpu_time_millis_training: 394.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.8882, kappa: 0.413, kb_relative_information_score: 5784.296, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.885, predictive_accuracy: 0.8989, prior_entropy: 0.5207, recall: 0.8989, relative_absolute_error: 0.6937, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.8238, scimark_benchmark: 1820.2044, usercpu_time_millis: 387.575, usercpu_time_millis_testing: 9.526, usercpu_time_millis_training: 378.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.8597, kappa: 0.2115, kb_relative_information_score: 4564.1794, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.866, predictive_accuracy: 0.8902, prior_entropy: 0.5207, recall: 0.8902, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.8469, scimark_benchmark: 1711.1583, usercpu_time_millis: 409.81, usercpu_time_millis_testing: 14.93, usercpu_time_millis_training: 394.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8955, kappa: 0.4564, kb_relative_information_score: 7666.1516, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8928, predictive_accuracy: 0.9044, prior_entropy: 0.5207, recall: 0.9044, relative_absolute_error: 0.6552, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.7974, scimark_benchmark: 1692.9625, usercpu_time_millis: 367.883, usercpu_time_millis_testing: 8.117, usercpu_time_millis_training: 359.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.891, kappa: 0.4201, kb_relative_information_score: 6909.6377, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8901, predictive_accuracy: 0.9037, prior_entropy: 0.5207, recall: 0.9037, relative_absolute_error: 0.6766, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.7984, scimark_benchmark: 1713.8909, usercpu_time_millis: 365.175, usercpu_time_millis_testing: 19.606, usercpu_time_millis_training: 345.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.8319, kappa: 0.0234, kb_relative_information_score: 2819.2803, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8769, predictive_accuracy: 0.8843, prior_entropy: 0.5207, recall: 0.8843, relative_absolute_error: 0.7532, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2703, root_relative_squared_error: 0.8411, scimark_benchmark: 1824.4359, usercpu_time_millis: 390.102, usercpu_time_millis_testing: 20.591, usercpu_time_millis_training: 369.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8854, kappa: 0.396, kb_relative_information_score: 5526.6845, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.882, predictive_accuracy: 0.8971, prior_entropy: 0.5207, recall: 0.8971, relative_absolute_error: 0.7033, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.83, scimark_benchmark: 1729.5628, usercpu_time_millis: 367.405, usercpu_time_millis_testing: 10.137, usercpu_time_millis_training: 357.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8872, kappa: 0.4046, kb_relative_information_score: 6144.307, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8843, predictive_accuracy: 0.899, prior_entropy: 0.5207, recall: 0.899, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2624, root_relative_squared_error: 0.8163, scimark_benchmark: 1720.0515, usercpu_time_millis: 392.078, usercpu_time_millis_testing: 18.105, usercpu_time_millis_training: 373.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8887, kappa: 0.4044, kb_relative_information_score: 6868.42, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8881, predictive_accuracy: 0.9026, prior_entropy: 0.5207, recall: 0.9026, relative_absolute_error: 0.6739, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.8007, scimark_benchmark: 1664.1072, usercpu_time_millis: 367.633, usercpu_time_millis_testing: 14.079, usercpu_time_millis_training: 353.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8597, kappa: 0.2112, kb_relative_information_score: 4543.227, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8659, predictive_accuracy: 0.8901, prior_entropy: 0.5207, recall: 0.8901, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.273, root_relative_squared_error: 0.8494, scimark_benchmark: 1710.7231, usercpu_time_millis: 316.654, usercpu_time_millis_testing: 10.765, usercpu_time_millis_training: 305.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.8934, kappa: 0.4383, kb_relative_information_score: 7541.021, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8915, predictive_accuracy: 0.9043, prior_entropy: 0.5207, recall: 0.9043, relative_absolute_error: 0.6585, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2555, root_relative_squared_error: 0.7949, scimark_benchmark: 1852.9259, usercpu_time_millis: 314.049, usercpu_time_millis_testing: 15.134, usercpu_time_millis_training: 298.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.8282, kb_relative_information_score: -688.4273, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.8089, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2864, root_relative_squared_error: 0.891, scimark_benchmark: 1837.7222, usercpu_time_millis: 318.26, usercpu_time_millis_testing: 14.233, usercpu_time_millis_training: 304.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.8816, kappa: 0.3529, kb_relative_information_score: 4634.4059, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8846, predictive_accuracy: 0.9005, prior_entropy: 0.5207, recall: 0.9005, relative_absolute_error: 0.7153, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.8241, scimark_benchmark: 1851.8785, usercpu_time_millis: 321.21, usercpu_time_millis_testing: 15.111, usercpu_time_millis_training: 306.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8878, kappa: 0.4097, kb_relative_information_score: 6202.736, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8848, predictive_accuracy: 0.8991, prior_entropy: 0.5207, recall: 0.8991, relative_absolute_error: 0.6837, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2624, root_relative_squared_error: 0.8166, scimark_benchmark: 1840.2451, usercpu_time_millis: 296.504, usercpu_time_millis_testing: 8.876, usercpu_time_millis_training: 287.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.8425, kappa: 0.0904, kb_relative_information_score: 3629.7086, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8839, predictive_accuracy: 0.8883, prior_entropy: 0.5207, recall: 0.8883, relative_absolute_error: 0.7753, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.8418, scimark_benchmark: 1723.4486, usercpu_time_millis: 302.829, usercpu_time_millis_testing: 21.051, usercpu_time_millis_training: 281.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.8985, kappa: 0.4753, kb_relative_information_score: 8879.424, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8958, predictive_accuracy: 0.9062, prior_entropy: 0.5207, recall: 0.9062, relative_absolute_error: 0.6366, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.7861, scimark_benchmark: 1756.0267, usercpu_time_millis: 305.923, usercpu_time_millis_testing: 13.248, usercpu_time_millis_training: 292.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.8811, kappa: 0.3591, kb_relative_information_score: 5353.4222, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.88, predictive_accuracy: 0.8973, prior_entropy: 0.5207, recall: 0.8973, relative_absolute_error: 0.7122, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2654, root_relative_squared_error: 0.8257, scimark_benchmark: 1836.6789, usercpu_time_millis: 317.444, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 301.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8305, kappa: 0.0152, kb_relative_information_score: 4053.1257, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8682, predictive_accuracy: 0.8837, prior_entropy: 0.5207, recall: 0.8837, relative_absolute_error: 0.76, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.8468, scimark_benchmark: 1723.7952, usercpu_time_millis: 284.929, usercpu_time_millis_testing: 15.545, usercpu_time_millis_training: 269.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8843, kappa: 0.382, kb_relative_information_score: 6033.6517, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8823, predictive_accuracy: 0.8984, prior_entropy: 0.5207, recall: 0.8984, relative_absolute_error: 0.6892, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.262, root_relative_squared_error: 0.815, scimark_benchmark: 1808.5228, usercpu_time_millis: 282.908, usercpu_time_millis_testing: 8.698, usercpu_time_millis_training: 274.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8657, kappa: 0.2485, kb_relative_information_score: 4771.4361, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8731, predictive_accuracy: 0.8934, prior_entropy: 0.5207, recall: 0.8934, relative_absolute_error: 0.7311, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.267, root_relative_squared_error: 0.8306, scimark_benchmark: 1843.9187, usercpu_time_millis: 306.361, usercpu_time_millis_testing: 18.363, usercpu_time_millis_training: 287.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.8866, kappa: 0.4025, kb_relative_information_score: 5652.6533, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8834, predictive_accuracy: 0.8981, prior_entropy: 0.5207, recall: 0.8981, relative_absolute_error: 0.7055, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.8284, scimark_benchmark: 1843.903, usercpu_time_millis: 275.555, usercpu_time_millis_testing: 11.82, usercpu_time_millis_training: 263.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.8811, kappa: 0.3475, kb_relative_information_score: 5096.4512, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8856, predictive_accuracy: 0.9009, prior_entropy: 0.5207, recall: 0.9009, relative_absolute_error: 0.7101, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2626, root_relative_squared_error: 0.817, scimark_benchmark: 1741.2406, usercpu_time_millis: 288.24, usercpu_time_millis_testing: 13.343, usercpu_time_millis_training: 274.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8655, kappa: 0.2482, kb_relative_information_score: 5023.6698, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8716, predictive_accuracy: 0.8929, prior_entropy: 0.5207, recall: 0.8929, relative_absolute_error: 0.7227, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.8292, scimark_benchmark: 1730.0855, usercpu_time_millis: 265.867, usercpu_time_millis_testing: 11.455, usercpu_time_millis_training: 254.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8987, kappa: 0.4781, kb_relative_information_score: 8145.0519, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8959, predictive_accuracy: 0.906, prior_entropy: 0.5207, recall: 0.906, relative_absolute_error: 0.6508, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.7915, scimark_benchmark: 1726.065, usercpu_time_millis: 266.983, usercpu_time_millis_testing: 9.005, usercpu_time_millis_training: 257.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.8869, kappa: 0.4046, kb_relative_information_score: 5689.5975, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8837, predictive_accuracy: 0.8982, prior_entropy: 0.5207, recall: 0.8982, relative_absolute_error: 0.7017, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.827, scimark_benchmark: 1726.3086, usercpu_time_millis: 273.685, usercpu_time_millis_testing: 9.965, usercpu_time_millis_training: 263.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.865, kappa: 0.2376, kb_relative_information_score: 4542.1136, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8816, predictive_accuracy: 0.8957, prior_entropy: 0.5207, recall: 0.8957, relative_absolute_error: 0.7385, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.8274, scimark_benchmark: 1730.5828, usercpu_time_millis: 258.558, usercpu_time_millis_testing: 15.912, usercpu_time_millis_training: 242.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.8912, kappa: 0.4222, kb_relative_information_score: 7074.1227, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8897, predictive_accuracy: 0.9034, prior_entropy: 0.5207, recall: 0.9034, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.257, root_relative_squared_error: 0.7995, scimark_benchmark: 1818.4563, usercpu_time_millis: 275.138, usercpu_time_millis_testing: 11.348, usercpu_time_millis_training: 263.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8282, kb_relative_information_score: -1420.3098, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.8039, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.8878, scimark_benchmark: 1737.2734, usercpu_time_millis: 231.796, usercpu_time_millis_testing: 7.595, usercpu_time_millis_training: 224.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8286, kappa: 0.003, kb_relative_information_score: 2729.0273, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8852, predictive_accuracy: 0.8832, prior_entropy: 0.5207, recall: 0.8832, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.8577, scimark_benchmark: 1817.9562, usercpu_time_millis: 245.414, usercpu_time_millis_testing: 15.701, usercpu_time_millis_training: 229.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.8976, kappa: 0.4658, kb_relative_information_score: 8570.8162, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8953, predictive_accuracy: 0.9065, prior_entropy: 0.5207, recall: 0.9065, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.786, scimark_benchmark: 1841.6688, usercpu_time_millis: 250.849, usercpu_time_millis_testing: 9.597, usercpu_time_millis_training: 241.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8807, kappa: 0.3589, kb_relative_information_score: 5412.739, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8787, predictive_accuracy: 0.8963, prior_entropy: 0.5207, recall: 0.8963, relative_absolute_error: 0.6984, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.8228, scimark_benchmark: 1778.6531, usercpu_time_millis: 231.577, usercpu_time_millis_testing: 10.235, usercpu_time_millis_training: 221.342,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.8282, kb_relative_information_score: 1507.2705, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.8943, scimark_benchmark: 1753.3646, usercpu_time_millis: 170.551, usercpu_time_millis_testing: 17.431, usercpu_time_millis_training: 153.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.8282, kb_relative_information_score: -1996.7108, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9204, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.9326, scimark_benchmark: 1717.8303, usercpu_time_millis: 156.962, usercpu_time_millis_testing: 14.645, usercpu_time_millis_training: 142.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.8407, kappa: 0.0789, kb_relative_information_score: 3298.6226, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8823, predictive_accuracy: 0.8875, prior_entropy: 0.5207, recall: 0.8875, relative_absolute_error: 0.8383, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2795, root_relative_squared_error: 0.8696, scimark_benchmark: 787.4409, usercpu_time_millis: 148.934, usercpu_time_millis_testing: 15.399, usercpu_time_millis_training: 133.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.8992, kappa: 0.4815, kb_relative_information_score: 9233.4382, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8964, predictive_accuracy: 0.9062, prior_entropy: 0.5207, recall: 0.9062, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.252, root_relative_squared_error: 0.7841, scimark_benchmark: 1722.5417, usercpu_time_millis: 160.67, usercpu_time_millis_testing: 3.089, usercpu_time_millis_training: 157.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8999, kappa: 0.4884, kb_relative_information_score: 9896.9611, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8971, predictive_accuracy: 0.906, prior_entropy: 0.5207, recall: 0.906, relative_absolute_error: 0.6158, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.7838, scimark_benchmark: 1730.7262, usercpu_time_millis: 167.635, usercpu_time_millis_testing: 3.475, usercpu_time_millis_training: 164.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.8282, kb_relative_information_score: 3009.3824, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2791, root_relative_squared_error: 0.8683, scimark_benchmark: 1834.2992, usercpu_time_millis: 177.777, usercpu_time_millis_testing: 11.281, usercpu_time_millis_training: 166.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.879, kappa: 0.3335, kb_relative_information_score: 4484.1145, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8848, predictive_accuracy: 0.9002, prior_entropy: 0.5207, recall: 0.9002, relative_absolute_error: 0.7208, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.8242, scimark_benchmark: 1756.6163, usercpu_time_millis: 143.339, usercpu_time_millis_testing: 9.45, usercpu_time_millis_training: 133.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.8594, kappa: 0.2095, kb_relative_information_score: 4499.023, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8658, predictive_accuracy: 0.8901, prior_entropy: 0.5207, recall: 0.8901, relative_absolute_error: 0.7353, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.8503, scimark_benchmark: 1839.2774, usercpu_time_millis: 184.272, usercpu_time_millis_testing: 5.338, usercpu_time_millis_training: 178.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8767, kappa: 0.3272, kb_relative_information_score: 5253.6739, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8774, predictive_accuracy: 0.8962, prior_entropy: 0.5207, recall: 0.8962, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2661, root_relative_squared_error: 0.8281, scimark_benchmark: 1828.8653, usercpu_time_millis: 176.946, usercpu_time_millis_testing: 5.371, usercpu_time_millis_training: 171.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8961, kappa: 0.4591, kb_relative_information_score: 7901.506, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8935, predictive_accuracy: 0.905, prior_entropy: 0.5207, recall: 0.905, relative_absolute_error: 0.6515, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.7941, scimark_benchmark: 1831.2156, usercpu_time_millis: 180.086, usercpu_time_millis_testing: 4.159, usercpu_time_millis_training: 175.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.8282, kb_relative_information_score: -2526.6258, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.8385, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2856, root_relative_squared_error: 0.8888, scimark_benchmark: 1833.2854, usercpu_time_millis: 167.91, usercpu_time_millis_testing: 10.183, usercpu_time_millis_training: 157.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.8596, kappa: 0.2104, kb_relative_information_score: 4530.8671, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8659, predictive_accuracy: 0.8901, prior_entropy: 0.5207, recall: 0.8901, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.8554, scimark_benchmark: 1814.9932, usercpu_time_millis: 145.211, usercpu_time_millis_testing: 7.6, usercpu_time_millis_training: 137.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.8657, kappa: 0.2499, kb_relative_information_score: 5072.0463, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8718, predictive_accuracy: 0.8929, prior_entropy: 0.5207, recall: 0.8929, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.8288, scimark_benchmark: 1843.903, usercpu_time_millis: 148.282, usercpu_time_millis_testing: 5.017, usercpu_time_millis_training: 143.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8598, kappa: 0.212, kb_relative_information_score: 4398.0712, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8661, predictive_accuracy: 0.8902, prior_entropy: 0.5207, recall: 0.8902, relative_absolute_error: 0.7472, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.8518, scimark_benchmark: 1686.6458, usercpu_time_millis: 162.269, usercpu_time_millis_testing: 8.051, usercpu_time_millis_training: 154.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8886, kappa: 0.402, kb_relative_information_score: 6843.5948, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8886, predictive_accuracy: 0.903, prior_entropy: 0.5207, recall: 0.903, relative_absolute_error: 0.6765, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.7999, scimark_benchmark: 1844.9435, usercpu_time_millis: 155.124, usercpu_time_millis_testing: 7.027, usercpu_time_millis_training: 148.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.9002, kappa: 0.4897, kb_relative_information_score: 9084.0727, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8974, predictive_accuracy: 0.9063, prior_entropy: 0.5207, recall: 0.9063, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.7858, scimark_benchmark: 1850.4554, usercpu_time_millis: 123.989, usercpu_time_millis_testing: 3.4, usercpu_time_millis_training: 120.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8641, kappa: 0.2308, kb_relative_information_score: 5113.588, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8832, predictive_accuracy: 0.8958, prior_entropy: 0.5207, recall: 0.8958, relative_absolute_error: 0.7478, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.8203, scimark_benchmark: 1838.6999, usercpu_time_millis: 157.469, usercpu_time_millis_testing: 10.094, usercpu_time_millis_training: 147.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.8282, kb_relative_information_score: 525.9295, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.9112, scimark_benchmark: 1847.9815, usercpu_time_millis: 139.272, usercpu_time_millis_testing: 16.335, usercpu_time_millis_training: 122.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8987, kappa: 0.479, kb_relative_information_score: 8773.3007, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8959, predictive_accuracy: 0.9058, prior_entropy: 0.5207, recall: 0.9058, relative_absolute_error: 0.6385, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2535, root_relative_squared_error: 0.7888, scimark_benchmark: 1857.5664, usercpu_time_millis: 118.424, usercpu_time_millis_testing: 2.483, usercpu_time_millis_training: 115.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.892, kappa: 0.4256, kb_relative_information_score: 7636.6342, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8911, predictive_accuracy: 0.9045, prior_entropy: 0.5207, recall: 0.9045, relative_absolute_error: 0.6639, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2543, root_relative_squared_error: 0.7913, scimark_benchmark: 1737.9286, usercpu_time_millis: 162.347, usercpu_time_millis_testing: 8.847, usercpu_time_millis_training: 153.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8634, kappa: 0.2277, kb_relative_information_score: 4261.2675, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8792, predictive_accuracy: 0.8947, prior_entropy: 0.5207, recall: 0.8947, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2699, root_relative_squared_error: 0.8397, scimark_benchmark: 1853.9121, usercpu_time_millis: 155.45, usercpu_time_millis_testing: 11.492, usercpu_time_millis_training: 143.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.8986, kappa: 0.477, kb_relative_information_score: 8314.8467, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8958, predictive_accuracy: 0.9059, prior_entropy: 0.5207, recall: 0.9059, relative_absolute_error: 0.6475, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2541, root_relative_squared_error: 0.7907, scimark_benchmark: 1768.9347, usercpu_time_millis: 159.401, usercpu_time_millis_testing: 8.082, usercpu_time_millis_training: 151.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.8817, kappa: 0.352, kb_relative_information_score: 5607.686, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.886, predictive_accuracy: 0.9012, prior_entropy: 0.5207, recall: 0.9012, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.8102, scimark_benchmark: 1857.0396, usercpu_time_millis: 111.641, usercpu_time_millis_testing: 11.762, usercpu_time_millis_training: 99.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8358, kappa: 0.0481, kb_relative_information_score: 2834.1932, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8794, predictive_accuracy: 0.8857, prior_entropy: 0.5207, recall: 0.8857, relative_absolute_error: 0.8496, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2824, root_relative_squared_error: 0.8787, scimark_benchmark: 1848.8039, usercpu_time_millis: 103.786, usercpu_time_millis_testing: 10.433, usercpu_time_millis_training: 93.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.8984, kappa: 0.4746, kb_relative_information_score: 8696.5925, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8957, predictive_accuracy: 0.9061, prior_entropy: 0.5207, recall: 0.9061, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2536, root_relative_squared_error: 0.789, scimark_benchmark: 1845.264, usercpu_time_millis: 114.364, usercpu_time_millis_testing: 3.783, usercpu_time_millis_training: 110.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8998, kappa: 0.4865, kb_relative_information_score: 8916.1336, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8969, predictive_accuracy: 0.9061, prior_entropy: 0.5207, recall: 0.9061, relative_absolute_error: 0.635, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.253, root_relative_squared_error: 0.7872, scimark_benchmark: 1719.6147, usercpu_time_millis: 126.707, usercpu_time_millis_testing: 3.403, usercpu_time_millis_training: 123.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8879, kappa: 0.4101, kb_relative_information_score: 6038.1736, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8848, predictive_accuracy: 0.899, prior_entropy: 0.5207, recall: 0.899, relative_absolute_error: 0.6908, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.8195, scimark_benchmark: 1839.7313, usercpu_time_millis: 125.472, usercpu_time_millis_testing: 4.365, usercpu_time_millis_training: 121.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8619, kappa: 0.2251, kb_relative_information_score: 4287.8229, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8681, predictive_accuracy: 0.8912, prior_entropy: 0.5207, recall: 0.8912, relative_absolute_error: 0.7454, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.8498, scimark_benchmark: 1837.1955, usercpu_time_millis: 149.222, usercpu_time_millis_testing: 13.629, usercpu_time_millis_training: 135.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.8282, kb_relative_information_score: -2980.7723, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.8606, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.9037, scimark_benchmark: 1721.5655, usercpu_time_millis: 122.472, usercpu_time_millis_testing: 7.704, usercpu_time_millis_training: 114.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8282, kb_relative_information_score: -2694.5809, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9114, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.9276, scimark_benchmark: 1729.108, usercpu_time_millis: 101.529, usercpu_time_millis_testing: 10.656, usercpu_time_millis_training: 90.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.8282, kb_relative_information_score: -857.1015, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.8084, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.8888, scimark_benchmark: 1717.8303, usercpu_time_millis: 133.543, usercpu_time_millis_testing: 4.736, usercpu_time_millis_training: 128.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8733, kappa: 0.3121, kb_relative_information_score: 3642.6444, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8712, predictive_accuracy: 0.8921, prior_entropy: 0.5207, recall: 0.8921, relative_absolute_error: 0.7359, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.8441, scimark_benchmark: 1733.6438, usercpu_time_millis: 146.856, usercpu_time_millis_testing: 1.747, usercpu_time_millis_training: 145.109,

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