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: 0.8726, f_measure: 0.8022, kappa: 0.601, kb_relative_information_score: 1650.036, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8026, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.7598, scimark_benchmark: 1743.1611, usercpu_time_millis: 3629.119, usercpu_time_millis_testing: 2.366, usercpu_time_millis_training: 3626.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.7902, kappa: 0.5767, kb_relative_information_score: 1513.8271, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7905, predictive_accuracy: 0.7907, prior_entropy: 0.9948, recall: 0.7907, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.781, scimark_benchmark: 1738.3274, usercpu_time_millis: 15752.355, usercpu_time_millis_testing: 4.836, usercpu_time_millis_training: 15747.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.8033, kappa: 0.6032, kb_relative_information_score: 1608.8174, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8037, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.6056, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7584, scimark_benchmark: 1729.6688, usercpu_time_millis: 6437.412, usercpu_time_millis_testing: 2.911, usercpu_time_millis_training: 6434.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.804, kappa: 0.6047, kb_relative_information_score: 1547.0585, mean_absolute_error: 0.3092, 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: 0.6228, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.7676, scimark_benchmark: 1838.1026, usercpu_time_millis: 1544.219, usercpu_time_millis_testing: 1.712, usercpu_time_millis_training: 1542.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.0577, 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: 1845.181, usercpu_time_millis: 5.292, usercpu_time_millis_testing: 0.806, usercpu_time_millis_training: 4.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.8075, kappa: 0.6119, kb_relative_information_score: 1734.6225, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8076, predictive_accuracy: 0.8078, prior_entropy: 0.9948, recall: 0.8078, relative_absolute_error: 0.5683, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7477, scimark_benchmark: 1844.7605, usercpu_time_millis: 2799.467, usercpu_time_millis_testing: 3.433, usercpu_time_millis_training: 2796.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: 0.1447, 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: 1849.9572, usercpu_time_millis: 7.347, usercpu_time_millis_testing: 1.082, usercpu_time_millis_training: 6.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8111, kappa: 0.619, kb_relative_information_score: 1604.9038, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8114, predictive_accuracy: 0.8115, prior_entropy: 0.9948, recall: 0.8115, relative_absolute_error: 0.6082, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7523, scimark_benchmark: 1849.447, usercpu_time_millis: 1149.079, usercpu_time_millis_testing: 3.979, usercpu_time_millis_training: 1145.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.7856, kappa: 0.5674, kb_relative_information_score: 1528.3565, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.786, predictive_accuracy: 0.7862, prior_entropy: 0.9948, recall: 0.7862, relative_absolute_error: 0.6248, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7804, scimark_benchmark: 1825.3277, usercpu_time_millis: 6448.971, usercpu_time_millis_testing: 2.546, usercpu_time_millis_training: 6446.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.8022, kappa: 0.6011, kb_relative_information_score: 1568.7621, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8026, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.6157, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7689, scimark_benchmark: 1726.1218, usercpu_time_millis: 1440.962, usercpu_time_millis_testing: 1.463, usercpu_time_millis_training: 1439.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.7766, kappa: 0.5494, kb_relative_information_score: 1316.2031, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7768, predictive_accuracy: 0.7771, prior_entropy: 0.9948, recall: 0.7771, relative_absolute_error: 0.6849, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8062, scimark_benchmark: 1847.2233, usercpu_time_millis: 575.144, usercpu_time_millis_testing: 2.016, usercpu_time_millis_training: 573.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.7976, kappa: 0.5919, kb_relative_information_score: 1482.9919, mean_absolute_error: 0.3181, 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: 0.6408, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.7742, scimark_benchmark: 1838.1026, usercpu_time_millis: 2716.356, usercpu_time_millis_testing: 4.126, usercpu_time_millis_training: 2712.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.8079, kappa: 0.6125, kb_relative_information_score: 1638.7152, mean_absolute_error: 0.2966, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8082, predictive_accuracy: 0.8083, prior_entropy: 0.9948, recall: 0.8083, relative_absolute_error: 0.5974, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.7533, scimark_benchmark: 1842.2565, usercpu_time_millis: 2822.702, usercpu_time_millis_testing: 3.223, usercpu_time_millis_training: 2819.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.8081, kappa: 0.613, kb_relative_information_score: 1693.2786, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8081, predictive_accuracy: 0.8083, prior_entropy: 0.9948, recall: 0.8083, relative_absolute_error: 0.5813, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7466, scimark_benchmark: 1167.0608, usercpu_time_millis: 2565.326, usercpu_time_millis_testing: 5.13, usercpu_time_millis_training: 2560.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.8072, kappa: 0.6111, kb_relative_information_score: 1672.7314, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8073, predictive_accuracy: 0.8075, prior_entropy: 0.9948, recall: 0.8075, relative_absolute_error: 0.587, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7518, scimark_benchmark: 1727.4447, usercpu_time_millis: 4228.444, usercpu_time_millis_testing: 3.924, usercpu_time_millis_training: 4224.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.8065, kappa: 0.6099, kb_relative_information_score: 1763.0107, mean_absolute_error: 0.2771, 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: 0.5583, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7515, scimark_benchmark: 1741.0843, usercpu_time_millis: 6837.6, usercpu_time_millis_testing: 3.231, usercpu_time_millis_training: 6834.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7715, kappa: 0.5391, kb_relative_information_score: 1296.096, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7717, predictive_accuracy: 0.7721, prior_entropy: 0.9948, recall: 0.7721, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8116, scimark_benchmark: 1799.9771, usercpu_time_millis: 269.94, usercpu_time_millis_testing: 1.319, usercpu_time_millis_training: 268.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.7641, kappa: 0.5241, kb_relative_information_score: 1012.6651, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7646, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.7682, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8355, scimark_benchmark: 1824.4389, usercpu_time_millis: 293.803, usercpu_time_millis_testing: 2.718, usercpu_time_millis_training: 291.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7611, kappa: 0.5182, kb_relative_information_score: 984.6643, mean_absolute_error: 0.3846, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.761, predictive_accuracy: 0.7614, prior_entropy: 0.9948, recall: 0.7614, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.8391, scimark_benchmark: 1719.5862, usercpu_time_millis: 294.67, usercpu_time_millis_testing: 3.48, usercpu_time_millis_training: 291.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: 0.0727, 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: 1844.2676, usercpu_time_millis: 6.186, usercpu_time_millis_testing: 0.893, usercpu_time_millis_training: 5.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.801, kappa: 0.5987, kb_relative_information_score: 1389.0001, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8012, predictive_accuracy: 0.8014, prior_entropy: 0.9948, recall: 0.8014, relative_absolute_error: 0.6681, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.7801, scimark_benchmark: 1769.9565, usercpu_time_millis: 82.816, usercpu_time_millis_testing: 1.308, usercpu_time_millis_training: 81.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.1189, 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: 1800.0885, usercpu_time_millis: 8.642, usercpu_time_millis_testing: 1.352, usercpu_time_millis_training: 7.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.7593, kappa: 0.5142, kb_relative_information_score: 1229.8418, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7608, predictive_accuracy: 0.7606, prior_entropy: 0.9948, recall: 0.7606, relative_absolute_error: 0.7087, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.411, root_relative_squared_error: 0.825, scimark_benchmark: 1725.723, usercpu_time_millis: 609.047, usercpu_time_millis_testing: 1.494, usercpu_time_millis_training: 607.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.8128, kappa: 0.6224, kb_relative_information_score: 1558.1712, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8129, predictive_accuracy: 0.8131, prior_entropy: 0.9948, recall: 0.8131, relative_absolute_error: 0.622, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.754, scimark_benchmark: 1743.9763, usercpu_time_millis: 723.26, usercpu_time_millis_testing: 4.357, usercpu_time_millis_training: 718.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.7923, kappa: 0.5811, kb_relative_information_score: 1425.4569, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7927, predictive_accuracy: 0.7929, prior_entropy: 0.9948, recall: 0.7929, relative_absolute_error: 0.6569, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.7822, scimark_benchmark: 1732.0988, usercpu_time_millis: 736.078, usercpu_time_millis_testing: 2.868, usercpu_time_millis_training: 733.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.8033, kappa: 0.6032, kb_relative_information_score: 1510.9287, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8037, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.6346, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7651, scimark_benchmark: 1761.1166, usercpu_time_millis: 1333.919, usercpu_time_millis_testing: 4.574, usercpu_time_millis_training: 1329.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.8085, kappa: 0.6138, kb_relative_information_score: 1641.2434, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8087, predictive_accuracy: 0.8089, prior_entropy: 0.9948, recall: 0.8089, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7519, scimark_benchmark: 1964.6977, usercpu_time_millis: 1761.349, usercpu_time_millis_testing: 2.898, usercpu_time_millis_training: 1758.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8055, kappa: 0.6078, kb_relative_information_score: 1732.4783, mean_absolute_error: 0.2821, 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: 0.5682, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7514, scimark_benchmark: 1838.168, usercpu_time_millis: 6548.559, usercpu_time_millis_testing: 4.559, usercpu_time_millis_training: 6544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.7868, kappa: 0.5699, kb_relative_information_score: 1268.4432, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.787, predictive_accuracy: 0.7873, prior_entropy: 0.9948, recall: 0.7873, relative_absolute_error: 0.7005, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.7979, scimark_benchmark: 1846.6923, usercpu_time_millis: 95.472, usercpu_time_millis_testing: 1.661, usercpu_time_millis_training: 93.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.3024, 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: 0.9999, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1841.6688, usercpu_time_millis: 5.227, usercpu_time_millis_testing: 0.783, usercpu_time_millis_training: 4.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.2731, 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: 1840.3077, usercpu_time_millis: 5.359, usercpu_time_millis_testing: 0.687, usercpu_time_millis_training: 4.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3813, kb_relative_information_score: -0.0086, 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: 1844.3569, usercpu_time_millis: 9.928, usercpu_time_millis_testing: 1.55, usercpu_time_millis_training: 8.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8082, kappa: 0.6132, kb_relative_information_score: 1642.9834, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8084, predictive_accuracy: 0.8086, prior_entropy: 0.9948, recall: 0.8086, relative_absolute_error: 0.5961, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.375, root_relative_squared_error: 0.7527, scimark_benchmark: 1833.6579, usercpu_time_millis: 673.999, usercpu_time_millis_testing: 1.221, usercpu_time_millis_training: 672.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.7915, kappa: 0.5795, kb_relative_information_score: 1428.7871, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7919, predictive_accuracy: 0.7921, prior_entropy: 0.9948, recall: 0.7921, relative_absolute_error: 0.6554, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.7844, scimark_benchmark: 1793.2549, usercpu_time_millis: 686.285, usercpu_time_millis_testing: 1.915, usercpu_time_millis_training: 684.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.7526, kappa: 0.5008, kb_relative_information_score: 1128.2647, mean_absolute_error: 0.3666, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7539, predictive_accuracy: 0.7539, prior_entropy: 0.9948, recall: 0.7539, relative_absolute_error: 0.7384, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.838, scimark_benchmark: 1853.9121, usercpu_time_millis: 717.177, usercpu_time_millis_testing: 1.769, usercpu_time_millis_training: 715.408,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.8024, kappa: 0.6016, kb_relative_information_score: 1757.7677, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8025, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.5589, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.7559, scimark_benchmark: 1845.6391, usercpu_time_millis: 3786.574, usercpu_time_millis_testing: 2.276, usercpu_time_millis_training: 3784.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.7725, kappa: 0.5408, kb_relative_information_score: 1397.0542, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.774, predictive_accuracy: 0.7737, prior_entropy: 0.9948, recall: 0.7737, relative_absolute_error: 0.6612, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8007, scimark_benchmark: 1716.0929, usercpu_time_millis: 3924.556, usercpu_time_millis_testing: 2.507, usercpu_time_millis_training: 3922.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.798, kappa: 0.5926, kb_relative_information_score: 1606.9494, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7982, predictive_accuracy: 0.7985, prior_entropy: 0.9948, recall: 0.7985, relative_absolute_error: 0.6054, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.7621, scimark_benchmark: 1849.3742, usercpu_time_millis: 4284.862, usercpu_time_millis_testing: 3.353, usercpu_time_millis_training: 4281.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.8031, kappa: 0.6027, kb_relative_information_score: 1534.4892, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8034, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7632, scimark_benchmark: 1792.0193, usercpu_time_millis: 1909.679, usercpu_time_millis_testing: 3.964, usercpu_time_millis_training: 1905.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.7956, kappa: 0.5879, kb_relative_information_score: 1793.1651, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7955, predictive_accuracy: 0.7958, prior_entropy: 0.9948, recall: 0.7958, relative_absolute_error: 0.5446, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7681, scimark_benchmark: 1837.1955, usercpu_time_millis: 10605.765, usercpu_time_millis_testing: 3.957, usercpu_time_millis_training: 10601.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.7977, kappa: 0.592, kb_relative_information_score: 1772.42, mean_absolute_error: 0.2738, 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: 0.5515, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.7696, scimark_benchmark: 1798.0499, usercpu_time_millis: 13633.966, usercpu_time_millis_testing: 3.689, usercpu_time_millis_training: 13630.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.7989, kappa: 0.5946, kb_relative_information_score: 1757.7191, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.799, predictive_accuracy: 0.7993, prior_entropy: 0.9948, recall: 0.7993, relative_absolute_error: 0.5579, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.7589, scimark_benchmark: 1743.1611, usercpu_time_millis: 8632.15, usercpu_time_millis_testing: 2.245, usercpu_time_millis_training: 8629.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.7812, kappa: 0.5586, kb_relative_information_score: 1469.5054, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7818, predictive_accuracy: 0.7819, prior_entropy: 0.9948, recall: 0.7819, relative_absolute_error: 0.6415, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7884, scimark_benchmark: 1842.6679, usercpu_time_millis: 5888.717, usercpu_time_millis_testing: 3.069, usercpu_time_millis_training: 5885.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.7981, kappa: 0.5927, kb_relative_information_score: 1400.0444, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7982, predictive_accuracy: 0.7985, prior_entropy: 0.9948, recall: 0.7985, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.7795, scimark_benchmark: 1840.3077, usercpu_time_millis: 1027.192, usercpu_time_millis_testing: 4.324, usercpu_time_millis_training: 1022.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.8001, kappa: 0.5967, kb_relative_information_score: 1570.8869, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8005, predictive_accuracy: 0.8006, prior_entropy: 0.9948, recall: 0.8006, relative_absolute_error: 0.6158, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3821, root_relative_squared_error: 0.7668, scimark_benchmark: 1849.8662, usercpu_time_millis: 5251.61, usercpu_time_millis_testing: 3.296, usercpu_time_millis_training: 5248.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.7911, kappa: 0.5787, kb_relative_information_score: 1542.9702, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7913, predictive_accuracy: 0.7915, prior_entropy: 0.9948, recall: 0.7915, relative_absolute_error: 0.6226, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.773, scimark_benchmark: 1843.903, usercpu_time_millis: 1558.783, usercpu_time_millis_testing: 1.359, usercpu_time_millis_training: 1557.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.7822, kappa: 0.5606, kb_relative_information_score: 1362.5561, mean_absolute_error: 0.3341, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7825, predictive_accuracy: 0.7827, prior_entropy: 0.9948, recall: 0.7827, relative_absolute_error: 0.673, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.7961, scimark_benchmark: 1739.8502, usercpu_time_millis: 1002.85, usercpu_time_millis_testing: 2.116, usercpu_time_millis_training: 1000.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.7799, kappa: 0.5559, kb_relative_information_score: 1375.9568, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.781, predictive_accuracy: 0.7809, prior_entropy: 0.9948, recall: 0.7809, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8012, scimark_benchmark: 1852.4707, usercpu_time_millis: 1587.105, usercpu_time_millis_testing: 1.41, usercpu_time_millis_training: 1585.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.8006, kappa: 0.5979, kb_relative_information_score: 1737.4078, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8006, predictive_accuracy: 0.8009, prior_entropy: 0.9948, recall: 0.8009, relative_absolute_error: 0.5639, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7627, scimark_benchmark: 1730.591, usercpu_time_millis: 11538.71, usercpu_time_millis_testing: 3.704, usercpu_time_millis_training: 11535.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.7841, kappa: 0.5645, kb_relative_information_score: 1478.6192, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7848, predictive_accuracy: 0.7849, prior_entropy: 0.9948, recall: 0.7849, relative_absolute_error: 0.639, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.392, root_relative_squared_error: 0.7868, scimark_benchmark: 1735.1328, usercpu_time_millis: 6651.84, usercpu_time_millis_testing: 3.771, usercpu_time_millis_training: 6648.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.8031, kappa: 0.6029, kb_relative_information_score: 1680.1309, mean_absolute_error: 0.2898, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8033, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.5838, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7552, scimark_benchmark: 1730.1287, usercpu_time_millis: 5743.587, usercpu_time_millis_testing: 3.853, usercpu_time_millis_training: 5739.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7913, kappa: 0.579, kb_relative_information_score: 1491.528, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7916, predictive_accuracy: 0.7918, prior_entropy: 0.9948, recall: 0.7918, relative_absolute_error: 0.6374, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3885, root_relative_squared_error: 0.7798, scimark_benchmark: 1725.9148, usercpu_time_millis: 5096.326, usercpu_time_millis_testing: 4.065, usercpu_time_millis_training: 5092.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.7642, kappa: 0.5242, kb_relative_information_score: 1261.4518, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7645, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.698, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8154, scimark_benchmark: 1803.2035, usercpu_time_millis: 13.324, usercpu_time_millis_testing: 0.696, usercpu_time_millis_training: 12.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 911.5394, mean_absolute_error: 0.3952, 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: 0.7961, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.8778, scimark_benchmark: 1794.4769, usercpu_time_millis: 64.601, usercpu_time_millis_testing: 0.983, usercpu_time_millis_training: 63.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.1237, 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: 808.8198, usercpu_time_millis: 17.473, usercpu_time_millis_testing: 2.066, usercpu_time_millis_training: 15.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.7532, kappa: 0.502, kb_relative_information_score: 1108.48, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.755, predictive_accuracy: 0.7547, prior_entropy: 0.9948, recall: 0.7547, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8354, scimark_benchmark: 1806.5935, usercpu_time_millis: 119.348, usercpu_time_millis_testing: 0.774, usercpu_time_millis_training: 118.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.8057, kappa: 0.6081, kb_relative_information_score: 1611.3996, mean_absolute_error: 0.3004, 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: 0.6052, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7571, scimark_benchmark: 1710.3034, usercpu_time_millis: 6458.679, usercpu_time_millis_testing: 5.444, usercpu_time_millis_training: 6453.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.804, kappa: 0.6048, kb_relative_information_score: 1748.3627, mean_absolute_error: 0.2787, 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: 0.5614, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7574, scimark_benchmark: 1729.3292, usercpu_time_millis: 669.79, usercpu_time_millis_testing: 1.166, usercpu_time_millis_training: 668.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.7532, kappa: 0.502, kb_relative_information_score: 1036.8997, mean_absolute_error: 0.3791, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7557, predictive_accuracy: 0.755, prior_entropy: 0.9948, recall: 0.755, relative_absolute_error: 0.7636, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8433, scimark_benchmark: 1729.728, usercpu_time_millis: 740.727, usercpu_time_millis_testing: 1.986, usercpu_time_millis_training: 738.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.7824, kappa: 0.5609, kb_relative_information_score: 1342.5649, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7833, predictive_accuracy: 0.7833, prior_entropy: 0.9948, recall: 0.7833, relative_absolute_error: 0.6787, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.7964, scimark_benchmark: 1742.9721, usercpu_time_millis: 97.341, usercpu_time_millis_testing: 0.767, usercpu_time_millis_training: 96.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.747, kappa: 0.49, kb_relative_information_score: 1210.9551, mean_absolute_error: 0.3544, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7522, predictive_accuracy: 0.7499, prior_entropy: 0.9948, recall: 0.7499, relative_absolute_error: 0.7139, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8411, scimark_benchmark: 1739.0425, usercpu_time_millis: 225.944, usercpu_time_millis_testing: 0.764, usercpu_time_millis_training: 225.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7902, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 953.5189, mean_absolute_error: 0.3896, 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: 0.7849, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.8767, scimark_benchmark: 1725.3223, usercpu_time_millis: 222.048, usercpu_time_millis_testing: 1.214, usercpu_time_millis_training: 220.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.7537, kappa: 0.503, kb_relative_information_score: 1036.7942, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7563, predictive_accuracy: 0.7555, prior_entropy: 0.9948, recall: 0.7555, relative_absolute_error: 0.7635, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8421, scimark_benchmark: 1743.8719, usercpu_time_millis: 266.903, usercpu_time_millis_testing: 1.506, usercpu_time_millis_training: 265.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.8108, kappa: 0.6184, kb_relative_information_score: 1597.8999, mean_absolute_error: 0.3028, 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: 0.6099, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7536, scimark_benchmark: 2077.879, usercpu_time_millis: 1159.909, usercpu_time_millis_testing: 2.211, usercpu_time_millis_training: 1157.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.3411, 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: 0.9999, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1735.5975, usercpu_time_millis: 4.667, usercpu_time_millis_testing: 0.685, usercpu_time_millis_training: 3.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: -0.0076, 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: 1736.9559, usercpu_time_millis: 9.882, usercpu_time_millis_testing: 1.751, usercpu_time_millis_training: 8.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.7371, kappa: 0.471, kb_relative_information_score: 802.8479, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7375, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8237, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.8737, scimark_benchmark: 1735.537, usercpu_time_millis: 87.507, usercpu_time_millis_testing: 0.92, usercpu_time_millis_training: 86.587,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

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