Task
Supervised Classification on fri_c3_250_5

Supervised Classification on fri_c3_250_5

Task 4315 Supervised Classification fri_c3_250_5 196 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, build_cpu_time: 0.1215, build_memory: 703391521.76, f_measure: 0.8766, kappa: 0.7487, kb_relative_information_score: 1868.2007, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8766, predictive_accuracy: 0.8768, prior_entropy: 0.9883, recall: 0.8768, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6878, scimark_benchmark: 943.1654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, build_cpu_time: 0.2484, build_memory: 930152345.44, f_measure: 0.8853, kappa: 0.7663, kb_relative_information_score: 1916.2937, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8856, predictive_accuracy: 0.8856, prior_entropy: 0.9883, recall: 0.8856, relative_absolute_error: 0.2317, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.331, root_relative_squared_error: 0.6676, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, build_cpu_time: 0.0601, build_memory: 1279331957.68, f_measure: 0.8692, kappa: 0.7338, kb_relative_information_score: 1829.6767, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8691, predictive_accuracy: 0.8692, prior_entropy: 0.9883, recall: 0.8692, relative_absolute_error: 0.2663, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.696, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, build_cpu_time: 0.6109, build_memory: 1195424154.4, f_measure: 0.888, kappa: 0.7718, kb_relative_information_score: 1926.1962, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8885, predictive_accuracy: 0.8884, prior_entropy: 0.9883, recall: 0.8884, relative_absolute_error: 0.2279, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.332, root_relative_squared_error: 0.6696, scimark_benchmark: 890.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, build_cpu_time: 1.2323, build_memory: 1458341912.72, f_measure: 0.8884, kappa: 0.7727, kb_relative_information_score: 1927.7062, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8889, predictive_accuracy: 0.8888, prior_entropy: 0.9883, recall: 0.8888, relative_absolute_error: 0.2273, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6706, scimark_benchmark: 944.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, build_cpu_time: 0.0223, build_memory: 326201520.56, f_measure: 0.8639, kappa: 0.7232, kb_relative_information_score: 1583.4837, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8639, predictive_accuracy: 0.864, prior_entropy: 0.9883, recall: 0.864, relative_absolute_error: 0.3842, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6279, scimark_benchmark: 949.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, build_cpu_time: 0.0552, build_memory: 33690312.64, f_measure: 0.8632, kappa: 0.7218, kb_relative_information_score: 1577.2053, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8632, predictive_accuracy: 0.8632, prior_entropy: 0.9883, recall: 0.8632, relative_absolute_error: 0.3876, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.6249, scimark_benchmark: 946.6184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, build_cpu_time: 0.1692, build_memory: 2354441341.12, f_measure: 0.866, kappa: 0.7275, kb_relative_information_score: 1580.1202, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.866, predictive_accuracy: 0.866, prior_entropy: 0.9883, recall: 0.866, relative_absolute_error: 0.3873, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.622, scimark_benchmark: 945.4929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, build_cpu_time: 0.3201, build_memory: 778461618.32, f_measure: 0.8667, kappa: 0.7289, kb_relative_information_score: 1576.5916, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8667, predictive_accuracy: 0.8668, prior_entropy: 0.9883, recall: 0.8668, relative_absolute_error: 0.3883, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6238, scimark_benchmark: 934.6436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, build_cpu_time: 1.0601, build_memory: 376156674.32, f_measure: 0.8706, kappa: 0.7362, kb_relative_information_score: 1501.7465, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8714, predictive_accuracy: 0.8712, prior_entropy: 0.9883, recall: 0.8712, relative_absolute_error: 0.427, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6252, scimark_benchmark: 831.2624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.85, kappa: 0.6952, kb_relative_information_score: 1683.9942, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8501, predictive_accuracy: 0.85, prior_entropy: 0.9883, recall: 0.85, relative_absolute_error: 0.3265, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7209, scimark_benchmark: 1319.6817, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5188, f_measure: 0.4674, kappa: 0.035, kb_relative_information_score: -108.7735, mean_absolute_error: 0.5096, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.5323, predictive_accuracy: 0.4904, prior_entropy: 0.9883, recall: 0.4904, relative_absolute_error: 1.036, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.7139, root_relative_squared_error: 1.4396, scimark_benchmark: 1339.4964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.8728, kappa: 0.7414, kb_relative_information_score: 1593.7986, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8728, predictive_accuracy: 0.8728, prior_entropy: 0.9883, recall: 0.8728, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.5937, scimark_benchmark: 1322.7257, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.8175, kappa: 0.6297, kb_relative_information_score: 1361.7961, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8182, predictive_accuracy: 0.8172, prior_entropy: 0.9883, recall: 0.8172, relative_absolute_error: 0.4732, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.7708, scimark_benchmark: 1344.4042, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.8728, kappa: 0.7414, kb_relative_information_score: 1593.7986, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8728, predictive_accuracy: 0.8728, prior_entropy: 0.9883, recall: 0.8728, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.5937, scimark_benchmark: 1347.993, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.8728, kappa: 0.7414, kb_relative_information_score: 1593.7986, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8728, predictive_accuracy: 0.8728, prior_entropy: 0.9883, recall: 0.8728, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.5937, scimark_benchmark: 1346.9602, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, f_measure: 0.4068, kb_relative_information_score: -0.4001, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.3181, predictive_accuracy: 0.564, prior_entropy: 0.9883, recall: 0.564, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4959, root_relative_squared_error: 1.0001, scimark_benchmark: 1345.5871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.8267, kappa: 0.6485, kb_relative_information_score: 1610.9849, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8275, predictive_accuracy: 0.8264, prior_entropy: 0.9883, recall: 0.8264, relative_absolute_error: 0.3529, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8402, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8563, kappa: 0.7076, kb_relative_information_score: 1573.4583, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8562, predictive_accuracy: 0.8564, prior_entropy: 0.9883, recall: 0.8564, relative_absolute_error: 0.3878, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.6429, scimark_benchmark: 908.2231, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.8641, kappa: 0.7231, kb_relative_information_score: 1689.0136, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8642, predictive_accuracy: 0.8644, prior_entropy: 0.9883, recall: 0.8644, relative_absolute_error: 0.3348, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.634, scimark_benchmark: 918.0213, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8731, kappa: 0.7414, kb_relative_information_score: 1760.0799, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8737, predictive_accuracy: 0.8736, prior_entropy: 0.9883, recall: 0.8736, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.641, scimark_benchmark: 909.1698, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.8294, kappa: 0.656, kb_relative_information_score: 1488.6374, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8335, predictive_accuracy: 0.8288, prior_entropy: 0.9883, recall: 0.8288, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.7518, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.8126, kappa: 0.6192, kb_relative_information_score: 1443.6771, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8128, predictive_accuracy: 0.8124, prior_entropy: 0.9883, recall: 0.8124, relative_absolute_error: 0.4328, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8063, scimark_benchmark: 1319.6463, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.7594, kappa: 0.5114, kb_relative_information_score: 1267.0332, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.7598, predictive_accuracy: 0.7592, prior_entropy: 0.9883, recall: 0.7592, relative_absolute_error: 0.4896, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9896, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.8334, kappa: 0.6608, kb_relative_information_score: 1647.8368, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8333, predictive_accuracy: 0.8336, prior_entropy: 0.9883, recall: 0.8336, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8226, scimark_benchmark: 1359.379, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8613, kappa: 0.7183, kb_relative_information_score: 1633.5801, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8616, predictive_accuracy: 0.8612, prior_entropy: 0.9883, recall: 0.8612, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.6659, scimark_benchmark: 1464.9318, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.8332, kappa: 0.6609, kb_relative_information_score: 1429.301, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8333, predictive_accuracy: 0.8332, prior_entropy: 0.9883, recall: 0.8332, relative_absolute_error: 0.4472, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.7052, scimark_benchmark: 1356.2994, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8219, kappa: 0.6409, kb_relative_information_score: 1359.8729, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8263, predictive_accuracy: 0.8212, prior_entropy: 0.9883, recall: 0.8212, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7359, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.7755, kappa: 0.5421, kb_relative_information_score: 1290.9027, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.7761, predictive_accuracy: 0.7768, prior_entropy: 0.9883, recall: 0.7768, relative_absolute_error: 0.492, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7588, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8219, kappa: 0.6409, kb_relative_information_score: 1359.8729, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8263, predictive_accuracy: 0.8212, prior_entropy: 0.9883, recall: 0.8212, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7359, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.8307, kappa: 0.6555, kb_relative_information_score: 1555.7243, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8306, predictive_accuracy: 0.8308, prior_entropy: 0.9883, recall: 0.8308, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7922, scimark_benchmark: 1392.1129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6777, f_measure: 0.6837, kappa: 0.3561, kb_relative_information_score: 882.1349, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.6834, predictive_accuracy: 0.684, prior_entropy: 0.9883, recall: 0.684, relative_absolute_error: 0.6424, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.1336, scimark_benchmark: 938.343, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.804, kappa: 0.6028, kb_relative_information_score: 1304.1963, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8051, predictive_accuracy: 0.8036, prior_entropy: 0.9883, recall: 0.8036, relative_absolute_error: 0.4955, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8076, scimark_benchmark: 1361.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.8258, kappa: 0.6454, kb_relative_information_score: 1608.9375, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8257, predictive_accuracy: 0.826, prior_entropy: 0.9883, recall: 0.826, relative_absolute_error: 0.3538, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8412, scimark_benchmark: 1315.0767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7755, f_measure: 0.7284, kappa: 0.4462, kb_relative_information_score: 631.0543, mean_absolute_error: 0.3796, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.7283, predictive_accuracy: 0.7296, prior_entropy: 0.9883, recall: 0.7296, relative_absolute_error: 0.7717, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.8795, scimark_benchmark: 1307.4861, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7335, f_measure: 0.6571, kappa: 0.3005, kb_relative_information_score: 490.3562, mean_absolute_error: 0.4041, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.6568, predictive_accuracy: 0.6592, prior_entropy: 0.9883, recall: 0.6592, relative_absolute_error: 0.8216, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.915, scimark_benchmark: 906.4475, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.86, kappa: 0.7153, kb_relative_information_score: 1531.1131, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9883, recall: 0.86, relative_absolute_error: 0.4045, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6974, scimark_benchmark: 1316.8289, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.8824, kappa: 0.7604, kb_relative_information_score: 1836.9851, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8829, predictive_accuracy: 0.8828, prior_entropy: 0.9883, recall: 0.8828, relative_absolute_error: 0.27, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6165, scimark_benchmark: 1339.8573, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.8004, kappa: 0.5941, kb_relative_information_score: 1477.9083, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8004, predictive_accuracy: 0.8004, prior_entropy: 0.9883, recall: 0.8004, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4468, root_relative_squared_error: 0.9009, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.748, kappa: 0.4905, kb_relative_information_score: 720.513, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.7506, predictive_accuracy: 0.7472, prior_entropy: 0.9883, recall: 0.7472, relative_absolute_error: 0.7493, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.877, scimark_benchmark: 1334.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, f_measure: 0.7215, kappa: 0.4315, kb_relative_information_score: 636.849, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.7221, predictive_accuracy: 0.7236, prior_entropy: 0.9883, recall: 0.7236, relative_absolute_error: 0.7705, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9292, scimark_benchmark: 1326.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.8176, kappa: 0.6332, kb_relative_information_score: 1312.8757, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8242, predictive_accuracy: 0.8168, prior_entropy: 0.9883, recall: 0.8168, relative_absolute_error: 0.4974, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7822, scimark_benchmark: 1413.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7488, kappa: 0.4919, kb_relative_information_score: 807.3918, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.7512, predictive_accuracy: 0.748, prior_entropy: 0.9883, recall: 0.748, relative_absolute_error: 0.7126, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.8481, scimark_benchmark: 1367.8403, usercpu_time_millis: 130, usercpu_time_millis_testing: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.6828, kappa: 0.3544, kb_relative_information_score: 560.8875, mean_absolute_error: 0.3899, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.6825, predictive_accuracy: 0.6832, prior_entropy: 0.9883, recall: 0.6832, relative_absolute_error: 0.7927, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4486, root_relative_squared_error: 0.9046, scimark_benchmark: 1300.0105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.7869, kappa: 0.5668, kb_relative_information_score: 1233.4519, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.787, predictive_accuracy: 0.7868, prior_entropy: 0.9883, recall: 0.7868, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4245, root_relative_squared_error: 0.856, scimark_benchmark: 1334.8341, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.7869, kappa: 0.5668, kb_relative_information_score: 1233.4519, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.787, predictive_accuracy: 0.7868, prior_entropy: 0.9883, recall: 0.7868, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4245, root_relative_squared_error: 0.856, scimark_benchmark: 1261.7298, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, f_measure: 0.7345, kappa: 0.4745, kb_relative_information_score: 744.337, mean_absolute_error: 0.3583, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.7537, predictive_accuracy: 0.734, prior_entropy: 0.9883, recall: 0.734, relative_absolute_error: 0.7284, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.434, root_relative_squared_error: 0.8753, scimark_benchmark: 1344.7246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8824, kappa: 0.7603, kb_relative_information_score: 1477.1183, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8829, predictive_accuracy: 0.8828, prior_entropy: 0.9883, recall: 0.8828, relative_absolute_error: 0.4472, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.6027, scimark_benchmark: 936.8729, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.8449, kappa: 0.685, kb_relative_information_score: 1388.2052, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8452, predictive_accuracy: 0.8448, prior_entropy: 0.9883, recall: 0.8448, relative_absolute_error: 0.4723, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6637, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.8728, kappa: 0.7414, kb_relative_information_score: 1593.7986, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8728, predictive_accuracy: 0.8728, prior_entropy: 0.9883, recall: 0.8728, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.5937, scimark_benchmark: 938.988, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.8876, kappa: 0.771, kb_relative_information_score: 1487.5242, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8881, predictive_accuracy: 0.888, prior_entropy: 0.9883, recall: 0.888, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.5882, scimark_benchmark: 939.682, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.8894, kappa: 0.7746, kb_relative_information_score: 1475.7056, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8895, predictive_accuracy: 0.8896, prior_entropy: 0.9883, recall: 0.8896, relative_absolute_error: 0.4523, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.5867, scimark_benchmark: 904.5548, usercpu_time_millis: 310, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.8874, kappa: 0.7706, kb_relative_information_score: 1479.0359, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8875, predictive_accuracy: 0.8876, prior_entropy: 0.9883, recall: 0.8876, relative_absolute_error: 0.4517, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.5823, scimark_benchmark: 1051.249, usercpu_time_millis: 1140, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8219, kappa: 0.6409, kb_relative_information_score: 1359.8729, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8263, predictive_accuracy: 0.8212, prior_entropy: 0.9883, recall: 0.8212, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7359, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8219, kappa: 0.6409, kb_relative_information_score: 1359.8729, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8263, predictive_accuracy: 0.8212, prior_entropy: 0.9883, recall: 0.8212, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7359, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.8303, kappa: 0.6539, kb_relative_information_score: 1635.5528, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8312, predictive_accuracy: 0.8312, prior_entropy: 0.9883, recall: 0.8312, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8285, scimark_benchmark: 1316.5668, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8219, kappa: 0.6409, kb_relative_information_score: 1359.8729, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8263, predictive_accuracy: 0.8212, prior_entropy: 0.9883, recall: 0.8212, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7359, scimark_benchmark: 1366.7181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8219, kappa: 0.6409, kb_relative_information_score: 1359.8729, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8263, predictive_accuracy: 0.8212, prior_entropy: 0.9883, recall: 0.8212, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7359, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.7755, kappa: 0.5421, kb_relative_information_score: 1290.9027, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.7761, predictive_accuracy: 0.7768, prior_entropy: 0.9883, recall: 0.7768, relative_absolute_error: 0.492, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7588, scimark_benchmark: 1329.8008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.7857, kappa: 0.5656, kb_relative_information_score: 1357.9125, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.7869, predictive_accuracy: 0.7852, prior_entropy: 0.9883, recall: 0.7852, relative_absolute_error: 0.4573, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.8346, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

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

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From your own software

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

OpenML APIs