OpenML
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: 0.7806, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 886.2101, mean_absolute_error: 0.3984, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8026, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8791, scimark_benchmark: 1353.0563, usercpu_time_millis: 392.347, usercpu_time_millis_testing: 2.007, usercpu_time_millis_training: 390.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.7974, kappa: 0.5914, kb_relative_information_score: 1614.1517, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7978, predictive_accuracy: 0.7979, prior_entropy: 0.9948, recall: 0.7979, relative_absolute_error: 0.601, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.7677, scimark_benchmark: 1364.4198, usercpu_time_millis: 12245.1, usercpu_time_millis_testing: 3.797, usercpu_time_millis_training: 12241.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.7779, kappa: 0.552, kb_relative_information_score: 1491.8943, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7786, predictive_accuracy: 0.7787, prior_entropy: 0.9948, recall: 0.7787, relative_absolute_error: 0.6341, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.393, root_relative_squared_error: 0.7888, scimark_benchmark: 1358.6772, usercpu_time_millis: 5381.466, usercpu_time_millis_testing: 2.087, usercpu_time_millis_training: 5379.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.7834, kappa: 0.5631, kb_relative_information_score: 1479.837, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7839, predictive_accuracy: 0.7841, prior_entropy: 0.9948, recall: 0.7841, relative_absolute_error: 0.6385, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.7862, scimark_benchmark: 1365.4511, usercpu_time_millis: 18973.438, usercpu_time_millis_testing: 4.544, usercpu_time_millis_training: 18968.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.8058, kappa: 0.6083, kb_relative_information_score: 1688.602, mean_absolute_error: 0.2886, 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: 0.5814, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7541, scimark_benchmark: 1358.6285, usercpu_time_millis: 19719.673, usercpu_time_millis_testing: 4.683, usercpu_time_millis_training: 19714.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.7977, kappa: 0.5919, kb_relative_information_score: 1584.1219, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.798, predictive_accuracy: 0.7982, prior_entropy: 0.9948, recall: 0.7982, relative_absolute_error: 0.611, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.7677, scimark_benchmark: 1357.8094, usercpu_time_millis: 7880.265, usercpu_time_millis_testing: 2.381, usercpu_time_millis_training: 7877.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8046, kappa: 0.6059, kb_relative_information_score: 1631.8833, mean_absolute_error: 0.2973, 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: 0.5989, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7568, scimark_benchmark: 1359.9855, usercpu_time_millis: 14047.751, usercpu_time_millis_testing: 6.018, usercpu_time_millis_training: 14041.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.8055, kappa: 0.6076, kb_relative_information_score: 1632.3328, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8058, predictive_accuracy: 0.8059, prior_entropy: 0.9948, recall: 0.8059, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7556, scimark_benchmark: 1355.8899, usercpu_time_millis: 11421.654, usercpu_time_millis_testing: 5.72, usercpu_time_millis_training: 11415.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.7662, kappa: 0.5283, kb_relative_information_score: 1256.3958, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7664, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.6994, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8203, scimark_benchmark: 1362.3831, usercpu_time_millis: 787.915, usercpu_time_millis_testing: 1.937, usercpu_time_millis_training: 785.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.8087, kappa: 0.6143, kb_relative_information_score: 1449.9301, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8089, predictive_accuracy: 0.8091, prior_entropy: 0.9948, recall: 0.8091, relative_absolute_error: 0.6525, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.7674, scimark_benchmark: 1353.2449, usercpu_time_millis: 1005.598, usercpu_time_millis_testing: 4.977, usercpu_time_millis_training: 1000.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.8065, kappa: 0.6097, kb_relative_information_score: 1547.1448, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8069, predictive_accuracy: 0.807, prior_entropy: 0.9948, recall: 0.807, relative_absolute_error: 0.6243, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.379, root_relative_squared_error: 0.7607, scimark_benchmark: 1359.1537, usercpu_time_millis: 3099.411, usercpu_time_millis_testing: 4.485, usercpu_time_millis_training: 3094.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.7623, kappa: 0.5204, kb_relative_information_score: 1258.7338, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7636, predictive_accuracy: 0.7635, prior_entropy: 0.9948, recall: 0.7635, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8179, scimark_benchmark: 1350.4454, usercpu_time_millis: 335.865, usercpu_time_millis_testing: 1.063, usercpu_time_millis_training: 334.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.8017, kappa: 0.6, kb_relative_information_score: 1644.2374, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.802, predictive_accuracy: 0.8022, prior_entropy: 0.9948, recall: 0.8022, relative_absolute_error: 0.5947, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.7576, scimark_benchmark: 1363.9745, usercpu_time_millis: 12608.748, usercpu_time_millis_testing: 6.242, usercpu_time_millis_training: 12602.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.761, kappa: 0.5179, kb_relative_information_score: 1158.4971, mean_absolute_error: 0.3623, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7642, predictive_accuracy: 0.763, prior_entropy: 0.9948, recall: 0.763, relative_absolute_error: 0.7297, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8285, scimark_benchmark: 1358.9218, usercpu_time_millis: 247.342, usercpu_time_millis_testing: 1.125, usercpu_time_millis_training: 246.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.7855, kappa: 0.5671, kb_relative_information_score: 1435.7843, mean_absolute_error: 0.3235, 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: 0.6517, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.7893, scimark_benchmark: 1359.8879, usercpu_time_millis: 6676.979, usercpu_time_millis_testing: 4.487, usercpu_time_millis_training: 6672.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.1905, 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: 1360.3709, usercpu_time_millis: 9.466, usercpu_time_millis_testing: 1.597, usercpu_time_millis_training: 7.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.8109, kappa: 0.6187, kb_relative_information_score: 1535.5168, mean_absolute_error: 0.3115, 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: 0.6275, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.761, scimark_benchmark: 1363.1349, usercpu_time_millis: 2533.355, usercpu_time_millis_testing: 5.08, usercpu_time_millis_training: 2528.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.7988, kappa: 0.5941, kb_relative_information_score: 1607.7591, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7991, predictive_accuracy: 0.7993, prior_entropy: 0.9948, recall: 0.7993, relative_absolute_error: 0.6045, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7643, scimark_benchmark: 1361.1739, usercpu_time_millis: 12157.072, usercpu_time_millis_testing: 4.468, usercpu_time_millis_training: 12152.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.8055, kappa: 0.6078, kb_relative_information_score: 1398.5499, mean_absolute_error: 0.331, 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: 0.6667, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7734, scimark_benchmark: 1357.1652, usercpu_time_millis: 503.026, usercpu_time_millis_testing: 4.28, usercpu_time_millis_training: 498.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.7983, kappa: 0.593, kb_relative_information_score: 1356.4162, mean_absolute_error: 0.3363, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7985, predictive_accuracy: 0.7987, prior_entropy: 0.9948, recall: 0.7987, relative_absolute_error: 0.6775, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.7832, scimark_benchmark: 1360.0517, usercpu_time_millis: 421.662, usercpu_time_millis_testing: 2.743, usercpu_time_millis_training: 418.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.7625, kappa: 0.5208, kb_relative_information_score: 1160.5496, mean_absolute_error: 0.3616, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7634, predictive_accuracy: 0.7635, prior_entropy: 0.9948, recall: 0.7635, relative_absolute_error: 0.7284, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.411, root_relative_squared_error: 0.825, scimark_benchmark: 1365.6114, usercpu_time_millis: 241.183, usercpu_time_millis_testing: 1.467, usercpu_time_millis_training: 239.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7576, kappa: 0.5108, kb_relative_information_score: 1311.0594, mean_absolute_error: 0.3392, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7593, predictive_accuracy: 0.759, prior_entropy: 0.9948, recall: 0.759, relative_absolute_error: 0.6833, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8171, scimark_benchmark: 1362.42, usercpu_time_millis: 2248.452, usercpu_time_millis_testing: 1.799, usercpu_time_millis_training: 2246.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.7829, kappa: 0.5621, kb_relative_information_score: 1508.2189, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7833, predictive_accuracy: 0.7835, prior_entropy: 0.9948, recall: 0.7835, relative_absolute_error: 0.6295, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7852, scimark_benchmark: 1360.8393, usercpu_time_millis: 658.008, usercpu_time_millis_testing: 1.092, usercpu_time_millis_training: 656.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.8048, kappa: 0.6063, kb_relative_information_score: 1717.6679, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8049, predictive_accuracy: 0.8051, prior_entropy: 0.9948, recall: 0.8051, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.7559, scimark_benchmark: 1357.738, usercpu_time_millis: 28699.019, usercpu_time_millis_testing: 6.482, usercpu_time_millis_training: 28692.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.7938, kappa: 0.5841, kb_relative_information_score: 1248.3578, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7939, predictive_accuracy: 0.7942, prior_entropy: 0.9948, recall: 0.7942, relative_absolute_error: 0.706, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.7984, scimark_benchmark: 1810.0254, usercpu_time_millis: 118.264, usercpu_time_millis_testing: 1.638, usercpu_time_millis_training: 116.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.7511, kappa: 0.4979, kb_relative_information_score: 1102.4665, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7511, predictive_accuracy: 0.7515, prior_entropy: 0.9948, recall: 0.7515, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8474, scimark_benchmark: 1796.4077, usercpu_time_millis: 395.452, usercpu_time_millis_testing: 1.306, usercpu_time_millis_training: 394.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, f_measure: 0.7501, kappa: 0.496, kb_relative_information_score: 1151.1197, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7535, predictive_accuracy: 0.7523, prior_entropy: 0.9948, recall: 0.7523, relative_absolute_error: 0.7317, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8396, scimark_benchmark: 1791.5704, usercpu_time_millis: 390.879, usercpu_time_millis_testing: 1.136, usercpu_time_millis_training: 389.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.7377, kappa: 0.4726, kb_relative_information_score: 1029.897, mean_absolute_error: 0.3797, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7385, predictive_accuracy: 0.7374, prior_entropy: 0.9948, recall: 0.7374, relative_absolute_error: 0.7648, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8516, scimark_benchmark: 1851.8567, usercpu_time_millis: 330.54, usercpu_time_millis_testing: 1.553, usercpu_time_millis_training: 328.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.7367, kappa: 0.4708, kb_relative_information_score: 724.8421, mean_absolute_error: 0.4185, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7377, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.8431, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8864, scimark_benchmark: 1834.7077, usercpu_time_millis: 96.183, usercpu_time_millis_testing: 1.133, usercpu_time_millis_training: 95.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.7469, kappa: 0.4892, kb_relative_information_score: 714.9469, mean_absolute_error: 0.4194, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7479, predictive_accuracy: 0.7481, prior_entropy: 0.9948, recall: 0.7481, relative_absolute_error: 0.8449, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4397, root_relative_squared_error: 0.8825, scimark_benchmark: 1775.413, usercpu_time_millis: 135.535, usercpu_time_millis_testing: 1.925, usercpu_time_millis_training: 133.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 990.6536, mean_absolute_error: 0.3844, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.8635, scimark_benchmark: 1839.1303, usercpu_time_millis: 227.471, usercpu_time_millis_testing: 1.156, usercpu_time_millis_training: 226.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.7588, kappa: 0.5132, kb_relative_information_score: 1097.1808, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7608, predictive_accuracy: 0.7603, prior_entropy: 0.9948, recall: 0.7603, relative_absolute_error: 0.7468, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8324, scimark_benchmark: 1838.217, usercpu_time_millis: 240.757, usercpu_time_millis_testing: 1.387, usercpu_time_millis_training: 239.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.0909, 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: 1772.1689, usercpu_time_millis: 5.431, usercpu_time_millis_testing: 0.85, usercpu_time_millis_training: 4.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.7366, kappa: 0.47, kb_relative_information_score: 846.7435, mean_absolute_error: 0.4034, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.737, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.8694, scimark_benchmark: 1846.2342, usercpu_time_millis: 57.745, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 56.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: 0.1036, 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: 1848.9831, usercpu_time_millis: 9.074, usercpu_time_millis_testing: 1.352, usercpu_time_millis_training: 7.722,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.7536, kappa: 0.5028, kb_relative_information_score: 934.6066, mean_absolute_error: 0.3921, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7558, predictive_accuracy: 0.7553, prior_entropy: 0.9948, recall: 0.7553, relative_absolute_error: 0.7898, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.8502, scimark_benchmark: 1848.2682, usercpu_time_millis: 69.592, usercpu_time_millis_testing: 1.014, usercpu_time_millis_training: 68.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 967.4513, mean_absolute_error: 0.3878, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7811, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8791, scimark_benchmark: 1855.4813, usercpu_time_millis: 201.796, usercpu_time_millis_testing: 1.139, usercpu_time_millis_training: 200.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.7575, kappa: 0.5107, kb_relative_information_score: 970.2604, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7583, predictive_accuracy: 0.7585, prior_entropy: 0.9948, recall: 0.7585, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8432, scimark_benchmark: 1849.3014, usercpu_time_millis: 205.452, usercpu_time_millis_testing: 2.5, usercpu_time_millis_training: 202.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.7815, kappa: 0.5592, kb_relative_information_score: 1440.8187, mean_absolute_error: 0.3224, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.782, predictive_accuracy: 0.7822, prior_entropy: 0.9948, recall: 0.7822, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.791, scimark_benchmark: 1982.551, usercpu_time_millis: 6650.059, usercpu_time_millis_testing: 2.663, usercpu_time_millis_training: 6647.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.8036, kappa: 0.6039, kb_relative_information_score: 1696.4034, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8039, predictive_accuracy: 0.8041, prior_entropy: 0.9948, recall: 0.8041, relative_absolute_error: 0.5785, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.7559, scimark_benchmark: 1740.5857, usercpu_time_millis: 7019.97, usercpu_time_millis_testing: 3.448, usercpu_time_millis_training: 7016.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0671, 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: 1846.9558, usercpu_time_millis: 4.613, usercpu_time_millis_testing: 0.769, usercpu_time_millis_training: 3.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8192, f_measure: 0.7525, kappa: 0.5007, kb_relative_information_score: 1168.8874, mean_absolute_error: 0.3606, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7561, predictive_accuracy: 0.7547, prior_entropy: 0.9948, recall: 0.7547, relative_absolute_error: 0.7263, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8352, scimark_benchmark: 1988.0489, usercpu_time_millis: 30.872, usercpu_time_millis_testing: 0.621, usercpu_time_millis_training: 30.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.7716, kappa: 0.5391, kb_relative_information_score: 1307.1553, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7721, predictive_accuracy: 0.7723, prior_entropy: 0.9948, recall: 0.7723, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8067, scimark_benchmark: 1994.2804, usercpu_time_millis: 19.18, usercpu_time_millis_testing: 0.621, usercpu_time_millis_training: 18.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.7471, kappa: 0.4897, kb_relative_information_score: 850.6388, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7482, predictive_accuracy: 0.7483, prior_entropy: 0.9948, recall: 0.7483, relative_absolute_error: 0.8104, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8602, scimark_benchmark: 1948.0394, usercpu_time_millis: 28.906, usercpu_time_millis_testing: 0.67, usercpu_time_millis_training: 28.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.756, kappa: 0.5079, kb_relative_information_score: 1163.5072, mean_absolute_error: 0.3614, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7604, predictive_accuracy: 0.7585, prior_entropy: 0.9948, recall: 0.7585, relative_absolute_error: 0.7279, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8325, scimark_benchmark: 1998.7366, usercpu_time_millis: 122.841, usercpu_time_millis_testing: 0.682, usercpu_time_millis_training: 122.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.7841, kappa: 0.5643, kb_relative_information_score: 1401.4905, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7849, predictive_accuracy: 0.7849, prior_entropy: 0.9948, recall: 0.7849, relative_absolute_error: 0.6614, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.7939, scimark_benchmark: 1932.6774, usercpu_time_millis: 225.304, usercpu_time_millis_testing: 0.889, usercpu_time_millis_training: 224.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 890.7866, mean_absolute_error: 0.3978, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8014, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8793, scimark_benchmark: 1801.857, usercpu_time_millis: 249.961, usercpu_time_millis_testing: 1.231, usercpu_time_millis_training: 248.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7829, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 964.3379, mean_absolute_error: 0.3882, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7819, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.879, scimark_benchmark: 1735.5816, usercpu_time_millis: 279.232, usercpu_time_millis_testing: 1.3, usercpu_time_millis_training: 277.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8095, kappa: 0.6158, kb_relative_information_score: 1492.6191, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8098, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.6403, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7639, scimark_benchmark: 1911.3535, usercpu_time_millis: 365.058, usercpu_time_millis_testing: 2.239, usercpu_time_millis_training: 362.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.812, kappa: 0.6208, kb_relative_information_score: 1569.4701, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8121, predictive_accuracy: 0.8123, prior_entropy: 0.9948, recall: 0.8123, relative_absolute_error: 0.6186, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7535, scimark_benchmark: 1825.6967, usercpu_time_millis: 636.181, usercpu_time_millis_testing: 3.118, usercpu_time_millis_training: 633.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.7561, kappa: 0.5079, kb_relative_information_score: 1143.6151, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7587, predictive_accuracy: 0.7579, prior_entropy: 0.9948, recall: 0.7579, relative_absolute_error: 0.7338, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8319, scimark_benchmark: 1988.1218, usercpu_time_millis: 787.073, usercpu_time_millis_testing: 1.718, usercpu_time_millis_training: 785.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.7625, kappa: 0.5209, kb_relative_information_score: 1203.4095, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7661, predictive_accuracy: 0.7646, prior_entropy: 0.9948, recall: 0.7646, relative_absolute_error: 0.717, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8247, scimark_benchmark: 1841.1596, usercpu_time_millis: 1091.883, usercpu_time_millis_testing: 1.825, usercpu_time_millis_training: 1090.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7595, kappa: 0.5148, kb_relative_information_score: 1357.1304, mean_absolute_error: 0.333, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7632, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6708, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8111, scimark_benchmark: 1915.0992, usercpu_time_millis: 1312.255, usercpu_time_millis_testing: 1.151, usercpu_time_millis_training: 1311.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8115, kappa: 0.62, kb_relative_information_score: 1682.9778, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8116, predictive_accuracy: 0.8118, prior_entropy: 0.9948, recall: 0.8118, relative_absolute_error: 0.585, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7461, scimark_benchmark: 2057.5193, usercpu_time_millis: 1415.885, usercpu_time_millis_testing: 3.163, usercpu_time_millis_training: 1412.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.7595, kappa: 0.5147, kb_relative_information_score: 1250.8937, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7618, predictive_accuracy: 0.7611, prior_entropy: 0.9948, recall: 0.7611, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8227, scimark_benchmark: 1934.3485, usercpu_time_millis: 1437.645, usercpu_time_millis_testing: 1.958, usercpu_time_millis_training: 1435.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7931, kappa: 0.5826, kb_relative_information_score: 1481.8613, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7935, predictive_accuracy: 0.7937, prior_entropy: 0.9948, recall: 0.7937, relative_absolute_error: 0.6406, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3885, root_relative_squared_error: 0.7797, scimark_benchmark: 1843.2539, usercpu_time_millis: 1662.111, usercpu_time_millis_testing: 2.809, usercpu_time_millis_training: 1659.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.7772, kappa: 0.5504, kb_relative_information_score: 1454.2993, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7778, predictive_accuracy: 0.7779, prior_entropy: 0.9948, recall: 0.7779, relative_absolute_error: 0.6448, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.7933, scimark_benchmark: 1991.57, usercpu_time_millis: 1693.691, usercpu_time_millis_testing: 1.15, usercpu_time_millis_training: 1692.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.7752, kappa: 0.5464, kb_relative_information_score: 1294.9991, mean_absolute_error: 0.3427, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7766, predictive_accuracy: 0.7763, prior_entropy: 0.9948, recall: 0.7763, relative_absolute_error: 0.6903, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8109, scimark_benchmark: 1838.1471, usercpu_time_millis: 2069.975, usercpu_time_millis_testing: 3.19, usercpu_time_millis_training: 2066.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.7993, kappa: 0.5951, kb_relative_information_score: 1531.583, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7996, predictive_accuracy: 0.7998, prior_entropy: 0.9948, recall: 0.7998, relative_absolute_error: 0.6271, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.7713, scimark_benchmark: 1834.1796, usercpu_time_millis: 2535.911, usercpu_time_millis_testing: 3.366, usercpu_time_millis_training: 2532.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8001, kappa: 0.5968, kb_relative_information_score: 1560.1312, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8004, predictive_accuracy: 0.8006, prior_entropy: 0.9948, recall: 0.8006, relative_absolute_error: 0.6185, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7673, scimark_benchmark: 1993.6841, usercpu_time_millis: 2837.366, usercpu_time_millis_testing: 1.907, usercpu_time_millis_training: 2835.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.8069, kappa: 0.6107, kb_relative_information_score: 1532.4247, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.807, predictive_accuracy: 0.8073, prior_entropy: 0.9948, recall: 0.8073, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7628, scimark_benchmark: 1841.6847, usercpu_time_millis: 2848.607, usercpu_time_millis_testing: 4.94, usercpu_time_millis_training: 2843.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.8026, kappa: 0.6019, kb_relative_information_score: 1615.9207, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8028, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.6029, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7596, scimark_benchmark: 2011.9672, usercpu_time_millis: 3580.78, usercpu_time_millis_testing: 3.101, usercpu_time_millis_training: 3577.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.7933, kappa: 0.5831, kb_relative_information_score: 1470.2826, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7934, predictive_accuracy: 0.7937, prior_entropy: 0.9948, recall: 0.7937, relative_absolute_error: 0.643, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3889, root_relative_squared_error: 0.7806, scimark_benchmark: 2014.3242, usercpu_time_millis: 3916.048, usercpu_time_millis_testing: 2.843, usercpu_time_millis_training: 3913.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.7802, kappa: 0.5565, kb_relative_information_score: 1335.4194, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7812, predictive_accuracy: 0.7811, prior_entropy: 0.9948, recall: 0.7811, relative_absolute_error: 0.679, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8043, scimark_benchmark: 1851.4874, usercpu_time_millis: 3864.068, usercpu_time_millis_testing: 2.873, usercpu_time_millis_training: 3861.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.799, kappa: 0.5945, kb_relative_information_score: 1582.1314, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7994, predictive_accuracy: 0.7995, prior_entropy: 0.9948, recall: 0.7995, relative_absolute_error: 0.6129, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.7642, scimark_benchmark: 1992.8242, usercpu_time_millis: 3999.482, usercpu_time_millis_testing: 3.059, usercpu_time_millis_training: 3996.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.8106, kappa: 0.6181, kb_relative_information_score: 1674.2912, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8108, predictive_accuracy: 0.811, prior_entropy: 0.9948, recall: 0.811, relative_absolute_error: 0.5868, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7516, scimark_benchmark: 2060.5752, usercpu_time_millis: 4555.873, usercpu_time_millis_testing: 3.067, usercpu_time_millis_training: 4552.806,

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