Task
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7976, kappa: 0.5917, kb_relative_information_score: 1503.6333, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7977, predictive_accuracy: 0.7979, prior_entropy: 0.9948, recall: 0.7979, relative_absolute_error: 0.6348, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7732, scimark_benchmark: 1348.0061, usercpu_time_millis: 3164.68, usercpu_time_millis_testing: 3.095, usercpu_time_millis_training: 3161.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.7961, kappa: 0.5888, kb_relative_information_score: 1564.7311, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7964, predictive_accuracy: 0.7966, prior_entropy: 0.9948, recall: 0.7966, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.7678, scimark_benchmark: 1342.8343, usercpu_time_millis: 9775.819, usercpu_time_millis_testing: 5.342, usercpu_time_millis_training: 9770.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7985, kappa: 0.5935, kb_relative_information_score: 1637.9894, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7988, predictive_accuracy: 0.799, prior_entropy: 0.9948, recall: 0.799, relative_absolute_error: 0.5952, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.7623, scimark_benchmark: 1348.0364, usercpu_time_millis: 20175.185, usercpu_time_millis_testing: 7.022, usercpu_time_millis_training: 20168.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.8045, kappa: 0.6059, kb_relative_information_score: 1726.1882, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8046, predictive_accuracy: 0.8049, prior_entropy: 0.9948, recall: 0.8049, relative_absolute_error: 0.5694, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.376, root_relative_squared_error: 0.7547, scimark_benchmark: 1332.2617, usercpu_time_millis: 24691.191, usercpu_time_millis_testing: 5.62, usercpu_time_millis_training: 24685.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.8063, kappa: 0.6094, kb_relative_information_score: 1687.6367, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8065, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.5813, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7553, scimark_benchmark: 1708.7849, usercpu_time_millis: 8247.778, usercpu_time_millis_testing: 3.23, usercpu_time_millis_training: 8244.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.8041, kappa: 0.6049, kb_relative_information_score: 1634.8991, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8044, predictive_accuracy: 0.8046, prior_entropy: 0.9948, recall: 0.8046, relative_absolute_error: 0.5973, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7583, scimark_benchmark: 1824.8123, usercpu_time_millis: 9114.459, usercpu_time_millis_testing: 4.449, usercpu_time_millis_training: 9110.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.8, kappa: 0.5968, kb_relative_information_score: 1695.2241, mean_absolute_error: 0.2862, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8001, predictive_accuracy: 0.8003, prior_entropy: 0.9948, recall: 0.8003, relative_absolute_error: 0.5765, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7652, scimark_benchmark: 1710.2447, usercpu_time_millis: 9832.918, usercpu_time_millis_testing: 3.607, usercpu_time_millis_training: 9829.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.7971, kappa: 0.5909, kb_relative_information_score: 1308.7707, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7971, predictive_accuracy: 0.7974, prior_entropy: 0.9948, recall: 0.7974, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.7861, scimark_benchmark: 1846.3057, usercpu_time_millis: 35.552, usercpu_time_millis_testing: 1.217, usercpu_time_millis_training: 34.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.7972, kappa: 0.591, kb_relative_information_score: 1450.7039, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7974, predictive_accuracy: 0.7977, prior_entropy: 0.9948, recall: 0.7977, relative_absolute_error: 0.6506, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7755, scimark_benchmark: 1732.4272, usercpu_time_millis: 188.216, usercpu_time_millis_testing: 1.285, usercpu_time_millis_training: 186.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7623, kappa: 0.5206, kb_relative_information_score: 1247.0611, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7623, predictive_accuracy: 0.7627, prior_entropy: 0.9948, recall: 0.7627, relative_absolute_error: 0.7017, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8236, scimark_benchmark: 1797.469, usercpu_time_millis: 493.859, usercpu_time_millis_testing: 1.469, usercpu_time_millis_training: 492.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8103, kappa: 0.6174, kb_relative_information_score: 1478.0332, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8106, predictive_accuracy: 0.8107, prior_entropy: 0.9948, recall: 0.8107, relative_absolute_error: 0.6444, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.7661, scimark_benchmark: 1755.5052, usercpu_time_millis: 654.18, usercpu_time_millis_testing: 3.686, usercpu_time_millis_training: 650.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.7976, kappa: 0.5919, kb_relative_information_score: 1686.1361, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7977, predictive_accuracy: 0.7979, prior_entropy: 0.9948, recall: 0.7979, relative_absolute_error: 0.578, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.383, root_relative_squared_error: 0.7688, scimark_benchmark: 1727.4387, usercpu_time_millis: 683.481, usercpu_time_millis_testing: 1.051, usercpu_time_millis_training: 682.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.7837, kappa: 0.5635, kb_relative_information_score: 1471.4034, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7842, predictive_accuracy: 0.7843, prior_entropy: 0.9948, recall: 0.7843, relative_absolute_error: 0.6408, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.7877, scimark_benchmark: 1725.3223, usercpu_time_millis: 1498.811, usercpu_time_millis_testing: 1.155, usercpu_time_millis_training: 1497.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.8044, kappa: 0.6054, kb_relative_information_score: 1579.9174, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8047, predictive_accuracy: 0.8049, prior_entropy: 0.9948, recall: 0.8049, relative_absolute_error: 0.6146, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7588, scimark_benchmark: 1741.9506, usercpu_time_millis: 1955.496, usercpu_time_millis_testing: 4.04, usercpu_time_millis_training: 1951.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.7855, kappa: 0.5672, kb_relative_information_score: 1394.3684, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7861, predictive_accuracy: 0.7862, prior_entropy: 0.9948, recall: 0.7862, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.7935, scimark_benchmark: 1730.1903, usercpu_time_millis: 2516.281, usercpu_time_millis_testing: 2.753, usercpu_time_millis_training: 2513.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7928, kappa: 0.5821, kb_relative_information_score: 1499.6627, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7929, predictive_accuracy: 0.7931, prior_entropy: 0.9948, recall: 0.7931, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.776, scimark_benchmark: 1716.0319, usercpu_time_millis: 3200.928, usercpu_time_millis_testing: 2.453, usercpu_time_millis_training: 3198.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.1548, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1746.5764, usercpu_time_millis: 6.058, usercpu_time_millis_testing: 0.874, usercpu_time_millis_training: 5.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8108, f_measure: 0.7427, kappa: 0.4815, kb_relative_information_score: 940.0514, mean_absolute_error: 0.3916, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7426, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.7888, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.426, root_relative_squared_error: 0.855, scimark_benchmark: 1846.8201, usercpu_time_millis: 132.257, usercpu_time_millis_testing: 1.424, usercpu_time_millis_training: 130.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8071, kappa: 0.6109, kb_relative_information_score: 1421.546, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8074, predictive_accuracy: 0.8075, prior_entropy: 0.9948, recall: 0.8075, relative_absolute_error: 0.6604, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.7709, scimark_benchmark: 1729.728, usercpu_time_millis: 531.689, usercpu_time_millis_testing: 5.202, usercpu_time_millis_training: 526.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.7764, kappa: 0.5489, kb_relative_information_score: 1302.4876, mean_absolute_error: 0.3418, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7769, predictive_accuracy: 0.7771, prior_entropy: 0.9948, recall: 0.7771, relative_absolute_error: 0.6885, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8062, scimark_benchmark: 1722.1785, usercpu_time_millis: 517.813, usercpu_time_millis_testing: 1.746, usercpu_time_millis_training: 516.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8045, kappa: 0.6057, kb_relative_information_score: 1530.4863, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8047, predictive_accuracy: 0.8049, prior_entropy: 0.9948, recall: 0.8049, relative_absolute_error: 0.6283, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7645, scimark_benchmark: 1725.0026, usercpu_time_millis: 1361.582, usercpu_time_millis_testing: 3.457, usercpu_time_millis_training: 1358.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8086, kappa: 0.6141, kb_relative_information_score: 1739.9501, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8086, predictive_accuracy: 0.8089, prior_entropy: 0.9948, recall: 0.8089, relative_absolute_error: 0.5672, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.7444, scimark_benchmark: 1846.7041, usercpu_time_millis: 1607.105, usercpu_time_millis_testing: 3.447, usercpu_time_millis_training: 1603.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8582, f_measure: 0.7891, kappa: 0.5746, kb_relative_information_score: 1453.0287, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7895, predictive_accuracy: 0.7897, prior_entropy: 0.9948, recall: 0.7897, relative_absolute_error: 0.6484, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7834, scimark_benchmark: 1722.1998, usercpu_time_millis: 2010.535, usercpu_time_millis_testing: 3.573, usercpu_time_millis_training: 2006.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.7918, kappa: 0.58, kb_relative_information_score: 1517.563, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7921, predictive_accuracy: 0.7923, prior_entropy: 0.9948, recall: 0.7923, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.7761, scimark_benchmark: 1729.2293, usercpu_time_millis: 3828.512, usercpu_time_millis_testing: 2.635, usercpu_time_millis_training: 3825.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.8014, kappa: 0.5994, kb_relative_information_score: 1598.315, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8018, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.6072, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7649, scimark_benchmark: 1730.591, usercpu_time_millis: 7874.186, usercpu_time_millis_testing: 3.147, usercpu_time_millis_training: 7871.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7916, kappa: 0.5796, kb_relative_information_score: 1456.1577, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7918, predictive_accuracy: 0.7921, prior_entropy: 0.9948, recall: 0.7921, relative_absolute_error: 0.6478, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.7817, scimark_benchmark: 1350.8793, usercpu_time_millis: 4931.008, usercpu_time_millis_testing: 4.94, usercpu_time_millis_training: 4926.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.8057, kappa: 0.6081, kb_relative_information_score: 1659.8867, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.806, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.5909, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7525, scimark_benchmark: 1345.7039, usercpu_time_millis: 5865.158, usercpu_time_millis_testing: 3.885, usercpu_time_millis_training: 5861.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0924, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1169.7903, usercpu_time_millis: 13.69, usercpu_time_millis_testing: 2.969, usercpu_time_millis_training: 10.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.7785, kappa: 0.5532, kb_relative_information_score: 1388.0454, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7787, predictive_accuracy: 0.779, prior_entropy: 0.9948, recall: 0.779, relative_absolute_error: 0.6638, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8025, scimark_benchmark: 1114.4783, usercpu_time_millis: 352.982, usercpu_time_millis_testing: 1.766, usercpu_time_millis_training: 351.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8417, f_measure: 0.7732, kappa: 0.5424, kb_relative_information_score: 1233.4095, mean_absolute_error: 0.3514, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7737, predictive_accuracy: 0.7739, prior_entropy: 0.9948, recall: 0.7739, relative_absolute_error: 0.7079, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8115, scimark_benchmark: 1153.8558, usercpu_time_millis: 479.94, usercpu_time_millis_testing: 2.637, usercpu_time_millis_training: 477.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.8047, kappa: 0.606, kb_relative_information_score: 1420.169, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.805, predictive_accuracy: 0.8051, prior_entropy: 0.9948, recall: 0.8051, relative_absolute_error: 0.6603, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7733, scimark_benchmark: 1070.4131, usercpu_time_millis: 1106.248, usercpu_time_millis_testing: 5.103, usercpu_time_millis_training: 1101.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.8044, kappa: 0.6055, kb_relative_information_score: 1526.6378, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8047, predictive_accuracy: 0.8049, prior_entropy: 0.9948, recall: 0.8049, relative_absolute_error: 0.6296, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7657, scimark_benchmark: 1114.8818, usercpu_time_millis: 1683.072, usercpu_time_millis_testing: 3.924, usercpu_time_millis_training: 1679.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.7869, kappa: 0.5701, kb_relative_information_score: 1369.8987, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7873, predictive_accuracy: 0.7875, prior_entropy: 0.9948, recall: 0.7875, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7904, scimark_benchmark: 1141.9347, usercpu_time_millis: 2536.662, usercpu_time_millis_testing: 6.969, usercpu_time_millis_training: 2529.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8055, kappa: 0.6077, kb_relative_information_score: 1507.7067, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8057, predictive_accuracy: 0.8059, prior_entropy: 0.9948, recall: 0.8059, relative_absolute_error: 0.6349, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7654, scimark_benchmark: 984.2709, usercpu_time_millis: 4475.141, usercpu_time_millis_testing: 10.454, usercpu_time_millis_training: 4464.687,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8039, kappa: 0.6046, kb_relative_information_score: 1666.9666, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8041, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.5872, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.7576, scimark_benchmark: 1720.8381, usercpu_time_millis: 697.657, usercpu_time_millis_testing: 1.18, usercpu_time_millis_training: 696.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7582, kappa: 0.5124, kb_relative_information_score: 1225.9741, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7581, predictive_accuracy: 0.7585, prior_entropy: 0.9948, recall: 0.7585, relative_absolute_error: 0.7087, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.412, root_relative_squared_error: 0.827, scimark_benchmark: 1808.6867, usercpu_time_millis: 907.005, usercpu_time_millis_testing: 2.175, usercpu_time_millis_training: 904.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.8015, kappa: 0.5997, kb_relative_information_score: 1585.6785, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8017, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7606, scimark_benchmark: 1729.728, usercpu_time_millis: 1127.827, usercpu_time_millis_testing: 2.032, usercpu_time_millis_training: 1125.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.7905, kappa: 0.5773, kb_relative_information_score: 1430.7256, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7908, predictive_accuracy: 0.791, prior_entropy: 0.9948, recall: 0.791, relative_absolute_error: 0.6553, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.7832, scimark_benchmark: 1836.7415, usercpu_time_millis: 1412.563, usercpu_time_millis_testing: 3.321, usercpu_time_millis_training: 1409.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.7766, kappa: 0.5492, kb_relative_information_score: 1338.545, mean_absolute_error: 0.3363, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7773, predictive_accuracy: 0.7774, prior_entropy: 0.9948, recall: 0.7774, relative_absolute_error: 0.6775, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8031, scimark_benchmark: 1837.6486, usercpu_time_millis: 27.754, usercpu_time_millis_testing: 0.648, usercpu_time_millis_training: 27.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7347, kappa: 0.4654, kb_relative_information_score: 544.9292, mean_absolute_error: 0.4394, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7346, predictive_accuracy: 0.7347, prior_entropy: 0.9948, recall: 0.7347, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9072, scimark_benchmark: 1726.9824, usercpu_time_millis: 49.872, usercpu_time_millis_testing: 1.152, usercpu_time_millis_training: 48.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.7898, kappa: 0.5762, kb_relative_information_score: 1404.1471, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7899, predictive_accuracy: 0.7902, prior_entropy: 0.9948, recall: 0.7902, relative_absolute_error: 0.662, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.7859, scimark_benchmark: 1791.5816, usercpu_time_millis: 117.366, usercpu_time_millis_testing: 0.957, usercpu_time_millis_training: 116.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.1019, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1727.4447, usercpu_time_millis: 10.371, usercpu_time_millis_testing: 1.403, usercpu_time_millis_training: 8.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.806, kappa: 0.6088, kb_relative_information_score: 1543.8667, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8063, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.6247, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7609, scimark_benchmark: 1770.8779, usercpu_time_millis: 183.883, usercpu_time_millis_testing: 1.303, usercpu_time_millis_training: 182.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7582, kappa: 0.5123, kb_relative_information_score: 1022.3386, mean_absolute_error: 0.3809, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7617, predictive_accuracy: 0.7603, prior_entropy: 0.9948, recall: 0.7603, relative_absolute_error: 0.7673, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.8423, scimark_benchmark: 1733.1384, usercpu_time_millis: 437.195, usercpu_time_millis_testing: 1.914, usercpu_time_millis_training: 435.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.8039, kappa: 0.6045, kb_relative_information_score: 1565.1846, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8041, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.7622, scimark_benchmark: 1837.1955, usercpu_time_millis: 1986.018, usercpu_time_millis_testing: 3.394, usercpu_time_millis_training: 1982.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.7929, kappa: 0.5822, kb_relative_information_score: 1552.8037, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7932, predictive_accuracy: 0.7934, prior_entropy: 0.9948, recall: 0.7934, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.7713, scimark_benchmark: 1844.2676, usercpu_time_millis: 2166.981, usercpu_time_millis_testing: 1.771, usercpu_time_millis_training: 2165.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.7872, kappa: 0.5707, kb_relative_information_score: 1288.9266, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7876, predictive_accuracy: 0.7878, prior_entropy: 0.9948, recall: 0.7878, relative_absolute_error: 0.695, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.7953, scimark_benchmark: 1743.9224, usercpu_time_millis: 221.156, usercpu_time_millis_testing: 2.394, usercpu_time_millis_training: 218.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.1462, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1755.1395, usercpu_time_millis: 8.438, usercpu_time_millis_testing: 1.373, usercpu_time_millis_training: 7.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.7827, kappa: 0.5616, kb_relative_information_score: 1223.2257, mean_absolute_error: 0.3535, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.783, predictive_accuracy: 0.7833, prior_entropy: 0.9948, recall: 0.7833, relative_absolute_error: 0.712, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8061, scimark_benchmark: 1792.2601, usercpu_time_millis: 466.01, usercpu_time_millis_testing: 2.32, usercpu_time_millis_training: 463.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7554, kappa: 0.5064, kb_relative_information_score: 1000.1233, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7571, prior_entropy: 0.9948, recall: 0.7571, relative_absolute_error: 0.7735, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.422, root_relative_squared_error: 0.847, scimark_benchmark: 1701.0644, usercpu_time_millis: 360.933, usercpu_time_millis_testing: 1.988, usercpu_time_millis_training: 358.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7523, f_measure: 0.5989, kappa: 0.2325, kb_relative_information_score: 194.5299, mean_absolute_error: 0.4773, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6683, predictive_accuracy: 0.6358, prior_entropy: 0.9948, recall: 0.6358, relative_absolute_error: 0.9614, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.9647, scimark_benchmark: 1702.1769, usercpu_time_millis: 12.844, usercpu_time_millis_testing: 1.429, usercpu_time_millis_training: 11.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.7373, kappa: 0.4713, kb_relative_information_score: 796.0306, mean_absolute_error: 0.4098, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7376, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.8255, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.435, root_relative_squared_error: 0.873, scimark_benchmark: 1706.8056, usercpu_time_millis: 43.325, usercpu_time_millis_testing: 1.006, usercpu_time_millis_training: 42.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.8109, kappa: 0.6186, kb_relative_information_score: 1541.3938, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8111, predictive_accuracy: 0.8113, prior_entropy: 0.9948, recall: 0.8113, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7596, scimark_benchmark: 1741.3041, usercpu_time_millis: 1002.223, usercpu_time_millis_testing: 3.792, usercpu_time_millis_training: 998.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: -0.0704, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1760.2849, usercpu_time_millis: 8.91, usercpu_time_millis_testing: 1.388, usercpu_time_millis_training: 7.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.7826, kappa: 0.5614, kb_relative_information_score: 1432.1696, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7831, predictive_accuracy: 0.7833, prior_entropy: 0.9948, recall: 0.7833, relative_absolute_error: 0.6526, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.7921, scimark_benchmark: 1737.5625, usercpu_time_millis: 1311.956, usercpu_time_millis_testing: 1.671, usercpu_time_millis_training: 1310.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.7998, kappa: 0.5962, kb_relative_information_score: 1525.7254, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7998, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.7696, scimark_benchmark: 1747.2347, usercpu_time_millis: 2492.415, usercpu_time_millis_testing: 2.229, usercpu_time_millis_training: 2490.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.7511, kappa: 0.4984, kb_relative_information_score: 1271.2035, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.757, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.8322, scimark_benchmark: 1698.4727, usercpu_time_millis: 1945.629, usercpu_time_millis_testing: 1.802, usercpu_time_millis_training: 1943.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.7641, kappa: 0.5239, kb_relative_information_score: 1296.7606, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7657, predictive_accuracy: 0.7654, prior_entropy: 0.9948, recall: 0.7654, relative_absolute_error: 0.6888, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.406, root_relative_squared_error: 0.815, scimark_benchmark: 1754.934, usercpu_time_millis: 2142.124, usercpu_time_millis_testing: 1.873, usercpu_time_millis_training: 2140.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.7878, kappa: 0.572, kb_relative_information_score: 1365.698, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7881, predictive_accuracy: 0.7883, prior_entropy: 0.9948, recall: 0.7883, relative_absolute_error: 0.6724, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.7931, scimark_benchmark: 1728.075, usercpu_time_millis: 1309.853, usercpu_time_millis_testing: 3.792, usercpu_time_millis_training: 1306.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8069, kappa: 0.6105, kb_relative_information_score: 1741.3851, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8071, predictive_accuracy: 0.8073, prior_entropy: 0.9948, recall: 0.8073, relative_absolute_error: 0.5653, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7512, scimark_benchmark: 1739.0126, usercpu_time_millis: 2282.713, usercpu_time_millis_testing: 1.674, usercpu_time_millis_training: 2281.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7836, kappa: 0.5634, kb_relative_information_score: 1385.0629, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7842, predictive_accuracy: 0.7843, prior_entropy: 0.9948, recall: 0.7843, relative_absolute_error: 0.6656, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.7974, scimark_benchmark: 1781.4534, usercpu_time_millis: 2073.3, usercpu_time_millis_testing: 2.206, usercpu_time_millis_training: 2071.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.7732, kappa: 0.5423, kb_relative_information_score: 1367.392, mean_absolute_error: 0.3315, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7749, predictive_accuracy: 0.7745, prior_entropy: 0.9948, recall: 0.7745, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8063, scimark_benchmark: 1748.8551, usercpu_time_millis: 4043.471, usercpu_time_millis_testing: 1.828, usercpu_time_millis_training: 4041.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.8038, kappa: 0.6043, kb_relative_information_score: 1553.6571, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8042, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.622, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.7622, scimark_benchmark: 1728.4686, usercpu_time_millis: 3597.377, usercpu_time_millis_testing: 5.97, usercpu_time_millis_training: 3591.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7872, kappa: 0.5706, kb_relative_information_score: 1406.0367, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7876, predictive_accuracy: 0.7878, prior_entropy: 0.9948, recall: 0.7878, relative_absolute_error: 0.6602, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.7916, scimark_benchmark: 1731.1814, usercpu_time_millis: 4664.918, usercpu_time_millis_testing: 4.153, usercpu_time_millis_training: 4660.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.7996, kappa: 0.5958, kb_relative_information_score: 1654.7996, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7999, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.5898, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7625, scimark_benchmark: 1684.6635, usercpu_time_millis: 9186.094, usercpu_time_millis_testing: 4.218, usercpu_time_millis_training: 9181.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.8015, kappa: 0.5996, kb_relative_information_score: 1719.0029, mean_absolute_error: 0.2836, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8017, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.5712, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7552, scimark_benchmark: 1728.4686, usercpu_time_millis: 10580.079, usercpu_time_millis_testing: 4.951, usercpu_time_millis_training: 10575.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.7539, kappa: 0.5038, kb_relative_information_score: 1320.081, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7589, predictive_accuracy: 0.7566, prior_entropy: 0.9948, recall: 0.7566, relative_absolute_error: 0.6811, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.8294, scimark_benchmark: 1802.7605, usercpu_time_millis: 3320.938, usercpu_time_millis_testing: 1.832, usercpu_time_millis_training: 3319.106,

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