OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9368 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.7968, kappa: 0.5901, kb_relative_information_score: 1491.4839, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7973, predictive_accuracy: 0.7974, prior_entropy: 0.9948, recall: 0.7974, relative_absolute_error: 0.6387, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.7739, scimark_benchmark: 1836.6789, usercpu_time_millis: 1995.475, usercpu_time_millis_testing: 3.238, usercpu_time_millis_training: 1992.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.8025, kappa: 0.6017, kb_relative_information_score: 1446.7185, mean_absolute_error: 0.3238, 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: 0.6522, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7734, scimark_benchmark: 788.5077, usercpu_time_millis: 1514.274, usercpu_time_millis_testing: 6.426, usercpu_time_millis_training: 1507.848,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.7716, kappa: 0.5392, kb_relative_information_score: 1233.6926, mean_absolute_error: 0.3514, 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: 0.7078, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8127, scimark_benchmark: 1835.0844, usercpu_time_millis: 745.915, usercpu_time_millis_testing: 2.529, usercpu_time_millis_training: 743.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7894, kappa: 0.5753, kb_relative_information_score: 1438.9397, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7897, predictive_accuracy: 0.7899, prior_entropy: 0.9948, recall: 0.7899, relative_absolute_error: 0.6516, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7883, scimark_benchmark: 1833.1413, usercpu_time_millis: 688.451, usercpu_time_millis_testing: 1.376, usercpu_time_millis_training: 687.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8068, kappa: 0.6104, kb_relative_information_score: 1682.8334, mean_absolute_error: 0.2894, 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: 0.583, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7554, scimark_benchmark: 1828.6642, usercpu_time_millis: 6597.826, usercpu_time_millis_testing: 2.606, usercpu_time_millis_training: 6595.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.737, kappa: 0.4713, kb_relative_information_score: 931.4185, mean_absolute_error: 0.3926, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.738, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.7908, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8674, scimark_benchmark: 1836.2249, usercpu_time_millis: 371.143, usercpu_time_millis_testing: 1.826, usercpu_time_millis_training: 369.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.7555, kappa: 0.5066, kb_relative_information_score: 1180.9, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.757, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.723, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8297, scimark_benchmark: 1847.4089, usercpu_time_millis: 189.173, usercpu_time_millis_testing: 0.832, usercpu_time_millis_training: 188.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.0242, 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: 1832.6873, usercpu_time_millis: 8.321, usercpu_time_millis_testing: 1.302, usercpu_time_millis_training: 7.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.1789, 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: 1826.5537, usercpu_time_millis: 5.456, usercpu_time_millis_testing: 0.79, usercpu_time_millis_training: 4.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.8001, kappa: 0.5968, kb_relative_information_score: 1587.4441, mean_absolute_error: 0.3033, 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: 0.611, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.7642, scimark_benchmark: 1833.1413, usercpu_time_millis: 5232.598, usercpu_time_millis_testing: 2.995, usercpu_time_millis_training: 5229.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.7767, kappa: 0.5496, kb_relative_information_score: 1386.6114, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7772, predictive_accuracy: 0.7774, prior_entropy: 0.9948, recall: 0.7774, relative_absolute_error: 0.6644, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8013, scimark_benchmark: 1839.7252, usercpu_time_millis: 3606.252, usercpu_time_millis_testing: 3.093, usercpu_time_millis_training: 3603.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8023, kappa: 0.6012, kb_relative_information_score: 1613.9606, mean_absolute_error: 0.2994, 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: 0.6031, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.7624, scimark_benchmark: 1831.5961, usercpu_time_millis: 1341.131, usercpu_time_millis_testing: 1.408, usercpu_time_millis_training: 1339.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.755, kappa: 0.5058, kb_relative_information_score: 1247.4015, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7584, predictive_accuracy: 0.7571, prior_entropy: 0.9948, recall: 0.7571, relative_absolute_error: 0.7035, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8239, scimark_benchmark: 1833.2039, usercpu_time_millis: 993.007, usercpu_time_millis_testing: 1.326, usercpu_time_millis_training: 991.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 933.0728, mean_absolute_error: 0.3924, 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: 0.7904, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8761, scimark_benchmark: 783.9583, usercpu_time_millis: 315.95, usercpu_time_millis_testing: 2.379, usercpu_time_millis_training: 313.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.7741, kappa: 0.5442, kb_relative_information_score: 1393.7493, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7745, predictive_accuracy: 0.7747, prior_entropy: 0.9948, recall: 0.7747, relative_absolute_error: 0.661, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4008, root_relative_squared_error: 0.8045, scimark_benchmark: 1840.3077, usercpu_time_millis: 59.061, usercpu_time_millis_testing: 0.698, usercpu_time_millis_training: 58.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.2036, 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: 1828.6642, usercpu_time_millis: 4.648, usercpu_time_millis_testing: 0.691, usercpu_time_millis_training: 3.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.7964, kappa: 0.5895, kb_relative_information_score: 1791.2299, mean_absolute_error: 0.2711, 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: 0.5461, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.766, scimark_benchmark: 1852.7668, usercpu_time_millis: 11806.98, usercpu_time_millis_testing: 3.77, usercpu_time_millis_training: 11803.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.7945, kappa: 0.5858, kb_relative_information_score: 1798.499, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7945, predictive_accuracy: 0.7947, prior_entropy: 0.9948, recall: 0.7947, relative_absolute_error: 0.5423, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7722, scimark_benchmark: 1830.7073, usercpu_time_millis: 9743.246, usercpu_time_millis_testing: 3.691, usercpu_time_millis_training: 9739.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.7854, kappa: 0.5671, kb_relative_information_score: 1444.1962, mean_absolute_error: 0.3224, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7857, predictive_accuracy: 0.7859, prior_entropy: 0.9948, recall: 0.7859, relative_absolute_error: 0.6494, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.7886, scimark_benchmark: 1855.4813, usercpu_time_millis: 6808.95, usercpu_time_millis_testing: 4.163, usercpu_time_millis_training: 6804.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.7926, kappa: 0.5817, kb_relative_information_score: 1544.0648, mean_absolute_error: 0.3091, 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: 0.6227, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7733, scimark_benchmark: 1847.6517, usercpu_time_millis: 6708.183, usercpu_time_millis_testing: 4.479, usercpu_time_millis_training: 6703.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8047, kappa: 0.606, kb_relative_information_score: 1659.7793, mean_absolute_error: 0.2929, 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: 0.5901, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7561, scimark_benchmark: 1787.343, usercpu_time_millis: 7059.565, usercpu_time_millis_testing: 4.04, usercpu_time_millis_training: 7055.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.7932, kappa: 0.5828, kb_relative_information_score: 1513.5745, mean_absolute_error: 0.3125, 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: 0.6294, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.7802, scimark_benchmark: 1764.6447, usercpu_time_millis: 5514.527, usercpu_time_millis_testing: 2.738, usercpu_time_millis_training: 5511.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.8017, kappa: 0.6, kb_relative_information_score: 1606.7087, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8021, predictive_accuracy: 0.8022, prior_entropy: 0.9948, recall: 0.8022, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.7622, scimark_benchmark: 1770.8688, usercpu_time_millis: 5295.076, usercpu_time_millis_testing: 3.476, usercpu_time_millis_training: 5291.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8098, kappa: 0.6163, kb_relative_information_score: 1665.9497, mean_absolute_error: 0.2925, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.81, predictive_accuracy: 0.8102, prior_entropy: 0.9948, recall: 0.8102, relative_absolute_error: 0.5892, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7513, scimark_benchmark: 1790.1606, usercpu_time_millis: 4858.802, usercpu_time_millis_testing: 4.827, usercpu_time_millis_training: 4853.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8484, f_measure: 0.7805, kappa: 0.5572, kb_relative_information_score: 1411.7572, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7814, predictive_accuracy: 0.7814, prior_entropy: 0.9948, recall: 0.7814, relative_absolute_error: 0.6574, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.796, scimark_benchmark: 1791.0784, usercpu_time_millis: 4349.146, usercpu_time_millis_testing: 2.2, usercpu_time_millis_training: 4346.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.7795, kappa: 0.5551, kb_relative_information_score: 1425.1419, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7802, predictive_accuracy: 0.7803, prior_entropy: 0.9948, recall: 0.7803, relative_absolute_error: 0.6533, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.7953, scimark_benchmark: 1712.4849, usercpu_time_millis: 5449.192, usercpu_time_millis_testing: 2.457, usercpu_time_millis_training: 5446.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.806, kappa: 0.6088, kb_relative_information_score: 1598.0807, mean_absolute_error: 0.3025, 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: 0.6094, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.377, root_relative_squared_error: 0.7566, scimark_benchmark: 1848.2615, usercpu_time_millis: 4794.492, usercpu_time_millis_testing: 6.693, usercpu_time_millis_training: 4787.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.8052, kappa: 0.6071, kb_relative_information_score: 1675.6437, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8055, predictive_accuracy: 0.8057, prior_entropy: 0.9948, recall: 0.8057, relative_absolute_error: 0.5853, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7556, scimark_benchmark: 1833.1413, usercpu_time_millis: 4835.567, usercpu_time_millis_testing: 2.646, usercpu_time_millis_training: 4832.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.802, kappa: 0.6007, kb_relative_information_score: 1648.848, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8023, predictive_accuracy: 0.8025, prior_entropy: 0.9948, recall: 0.8025, relative_absolute_error: 0.5929, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7571, scimark_benchmark: 1834.2992, usercpu_time_millis: 4751.287, usercpu_time_millis_testing: 4.106, usercpu_time_millis_training: 4747.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.7742, kappa: 0.5444, kb_relative_information_score: 1436.7195, mean_absolute_error: 0.3227, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7754, predictive_accuracy: 0.7753, prior_entropy: 0.9948, recall: 0.7753, relative_absolute_error: 0.65, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.7963, scimark_benchmark: 1835.6541, usercpu_time_millis: 7497.77, usercpu_time_millis_testing: 3.565, usercpu_time_millis_training: 7494.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.7911, kappa: 0.5787, kb_relative_information_score: 1466.0708, mean_absolute_error: 0.3196, 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: 0.6439, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.7823, scimark_benchmark: 1833.2854, usercpu_time_millis: 4346.657, usercpu_time_millis_testing: 2.837, usercpu_time_millis_training: 4343.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.7768, kappa: 0.5495, kb_relative_information_score: 1362.2773, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7783, predictive_accuracy: 0.7779, prior_entropy: 0.9948, recall: 0.7779, relative_absolute_error: 0.6696, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8059, scimark_benchmark: 1756.4418, usercpu_time_millis: 3901.567, usercpu_time_millis_testing: 1.951, usercpu_time_millis_training: 3899.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.8093, kappa: 0.6154, kb_relative_information_score: 1672.3401, mean_absolute_error: 0.2916, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8095, predictive_accuracy: 0.8097, prior_entropy: 0.9948, recall: 0.8097, relative_absolute_error: 0.5874, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7495, scimark_benchmark: 1855.0232, usercpu_time_millis: 2441.464, usercpu_time_millis_testing: 2.853, usercpu_time_millis_training: 2438.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.7834, kappa: 0.563, kb_relative_information_score: 1345.8045, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7844, predictive_accuracy: 0.7843, prior_entropy: 0.9948, recall: 0.7843, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.7986, scimark_benchmark: 1797.051, usercpu_time_millis: 1521.367, usercpu_time_millis_testing: 2.779, usercpu_time_millis_training: 1518.588,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.8092, kappa: 0.6151, kb_relative_information_score: 1650.4487, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8096, predictive_accuracy: 0.8097, prior_entropy: 0.9948, recall: 0.8097, relative_absolute_error: 0.5936, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7539, scimark_benchmark: 1805.8981, usercpu_time_millis: 2464.699, usercpu_time_millis_testing: 2.609, usercpu_time_millis_training: 2462.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7537, kappa: 0.5031, kb_relative_information_score: 946.6143, mean_absolute_error: 0.3897, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7538, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.7851, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.8459, scimark_benchmark: 1834.6918, usercpu_time_millis: 37.289, usercpu_time_millis_testing: 1.11, usercpu_time_millis_training: 36.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.7489, kappa: 0.4938, kb_relative_information_score: 1088.1361, mean_absolute_error: 0.3719, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7488, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.7492, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.42, root_relative_squared_error: 0.843, scimark_benchmark: 1836.6789, usercpu_time_millis: 62.176, usercpu_time_millis_testing: 0.775, usercpu_time_millis_training: 61.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.7364, kappa: 0.4699, kb_relative_information_score: 744.1432, mean_absolute_error: 0.4161, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7372, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.8382, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4403, root_relative_squared_error: 0.8838, scimark_benchmark: 1833.9117, usercpu_time_millis: 33.718, usercpu_time_millis_testing: 0.743, usercpu_time_millis_training: 32.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.7868, kappa: 0.5699, kb_relative_information_score: 1203.7273, mean_absolute_error: 0.3563, 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: 0.7178, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8064, scimark_benchmark: 1836.7572, usercpu_time_millis: 359.517, usercpu_time_millis_testing: 4.463, usercpu_time_millis_training: 355.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.7897, kappa: 0.5757, kb_relative_information_score: 1410.492, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.79, predictive_accuracy: 0.7902, prior_entropy: 0.9948, recall: 0.7902, relative_absolute_error: 0.6604, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7865, scimark_benchmark: 1830.2533, usercpu_time_millis: 673.161, usercpu_time_millis_testing: 2.286, usercpu_time_millis_training: 670.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.7542, kappa: 0.5039, kb_relative_information_score: 997.31, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7551, predictive_accuracy: 0.7553, prior_entropy: 0.9948, recall: 0.7553, relative_absolute_error: 0.7735, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8438, scimark_benchmark: 1834.2992, usercpu_time_millis: 221.368, usercpu_time_millis_testing: 1.836, usercpu_time_millis_training: 219.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.7938, kappa: 0.5842, kb_relative_information_score: 1238.3364, mean_absolute_error: 0.352, 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: 0.709, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.7985, scimark_benchmark: 1835.2001, usercpu_time_millis: 238.332, usercpu_time_millis_testing: 3.856, usercpu_time_millis_training: 234.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.7776, kappa: 0.5514, kb_relative_information_score: 1267.6379, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7779, predictive_accuracy: 0.7782, prior_entropy: 0.9948, recall: 0.7782, relative_absolute_error: 0.6992, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.8037, scimark_benchmark: 1839.7911, usercpu_time_millis: 223.845, usercpu_time_millis_testing: 1.72, usercpu_time_millis_training: 222.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7852, f_measure: 0.7367, kappa: 0.4707, kb_relative_information_score: 731.701, mean_absolute_error: 0.4176, 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: 0.8411, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.8868, scimark_benchmark: 1830.3118, usercpu_time_millis: 130.991, usercpu_time_millis_testing: 1.16, usercpu_time_millis_training: 129.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.809, kappa: 0.6147, kb_relative_information_score: 1608.4236, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8092, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.6063, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.376, root_relative_squared_error: 0.7547, scimark_benchmark: 1831.1542, usercpu_time_millis: 429.363, usercpu_time_millis_testing: 1.494, usercpu_time_millis_training: 427.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7708, kappa: 0.5376, kb_relative_information_score: 1248.1528, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7713, predictive_accuracy: 0.7715, prior_entropy: 0.9948, recall: 0.7715, relative_absolute_error: 0.7029, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8167, scimark_benchmark: 1749.9329, usercpu_time_millis: 572.205, usercpu_time_millis_testing: 1.704, usercpu_time_millis_training: 570.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.8047, kappa: 0.6065, kb_relative_information_score: 1475.8403, mean_absolute_error: 0.3201, 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: 0.6448, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.7633, scimark_benchmark: 1812.8426, usercpu_time_millis: 84.924, usercpu_time_millis_testing: 2.127, usercpu_time_millis_training: 82.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.7461, kappa: 0.4878, kb_relative_information_score: 872.4692, mean_absolute_error: 0.399, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7463, predictive_accuracy: 0.7467, prior_entropy: 0.9948, recall: 0.7467, relative_absolute_error: 0.8038, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8574, scimark_benchmark: 1827.2523, usercpu_time_millis: 9.701, usercpu_time_millis_testing: 0.708, usercpu_time_millis_training: 8.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.8094, kappa: 0.6156, kb_relative_information_score: 1723.0682, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8094, predictive_accuracy: 0.8097, prior_entropy: 0.9948, recall: 0.8097, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7484, scimark_benchmark: 1744.9297, usercpu_time_millis: 4358.844, usercpu_time_millis_testing: 4.015, usercpu_time_millis_training: 4354.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7771, kappa: 0.5502, kb_relative_information_score: 1375.5381, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7784, predictive_accuracy: 0.7782, prior_entropy: 0.9948, recall: 0.7782, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.8041, scimark_benchmark: 1787.198, usercpu_time_millis: 2682.076, usercpu_time_millis_testing: 2.051, usercpu_time_millis_training: 2680.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.794, kappa: 0.5843, kb_relative_information_score: 1485.3345, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7943, predictive_accuracy: 0.7945, prior_entropy: 0.9948, recall: 0.7945, relative_absolute_error: 0.6397, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.778, scimark_benchmark: 1816.1663, usercpu_time_millis: 2712.434, usercpu_time_millis_testing: 3.477, usercpu_time_millis_training: 2708.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8582, f_measure: 0.7913, kappa: 0.5791, kb_relative_information_score: 1454.7577, mean_absolute_error: 0.3213, 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: 0.6473, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.7837, scimark_benchmark: 1774.0433, usercpu_time_millis: 2590.206, usercpu_time_millis_testing: 3.605, usercpu_time_millis_training: 2586.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.7966, kappa: 0.5897, kb_relative_information_score: 1405.5302, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7966, predictive_accuracy: 0.7969, prior_entropy: 0.9948, recall: 0.7969, relative_absolute_error: 0.6622, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7834, scimark_benchmark: 1796.7155, usercpu_time_millis: 1663.124, usercpu_time_millis_testing: 3.693, usercpu_time_millis_training: 1659.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.7405, kappa: 0.4765, kb_relative_information_score: 648.1519, mean_absolute_error: 0.4272, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7406, predictive_accuracy: 0.7411, prior_entropy: 0.9948, recall: 0.7411, relative_absolute_error: 0.8604, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.8914, scimark_benchmark: 1831.767, usercpu_time_millis: 83.546, usercpu_time_millis_testing: 1.432, usercpu_time_millis_training: 82.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.7452, kappa: 0.4857, kb_relative_information_score: 748.1469, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7464, predictive_accuracy: 0.7465, prior_entropy: 0.9948, recall: 0.7465, relative_absolute_error: 0.8364, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.8768, scimark_benchmark: 1831.767, usercpu_time_millis: 50.704, usercpu_time_millis_testing: 0.927, usercpu_time_millis_training: 49.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.7952, kappa: 0.587, kb_relative_information_score: 1434.3021, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7953, predictive_accuracy: 0.7955, prior_entropy: 0.9948, recall: 0.7955, relative_absolute_error: 0.6541, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7813, scimark_benchmark: 1784.9811, usercpu_time_millis: 747.433, usercpu_time_millis_testing: 1.893, usercpu_time_millis_training: 745.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.7921, kappa: 0.5806, kb_relative_information_score: 1461.8965, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7924, predictive_accuracy: 0.7926, prior_entropy: 0.9948, recall: 0.7926, relative_absolute_error: 0.6456, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.784, scimark_benchmark: 1848.7762, usercpu_time_millis: 821.077, usercpu_time_millis_testing: 1.747, usercpu_time_millis_training: 819.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.1183, 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: 1797.6922, usercpu_time_millis: 8.652, usercpu_time_millis_testing: 1.426, usercpu_time_millis_training: 7.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.1872, 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: 1767.06, usercpu_time_millis: 5.572, usercpu_time_millis_testing: 0.832, usercpu_time_millis_training: 4.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.7495, kappa: 0.4944, kb_relative_information_score: 1008.9731, mean_absolute_error: 0.3828, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7507, predictive_accuracy: 0.7507, prior_entropy: 0.9948, recall: 0.7507, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8477, scimark_benchmark: 1852.355, usercpu_time_millis: 896.066, usercpu_time_millis_testing: 2.141, usercpu_time_millis_training: 893.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7907, kappa: 0.5779, kb_relative_information_score: 1526.3184, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7911, predictive_accuracy: 0.7913, prior_entropy: 0.9948, recall: 0.7913, relative_absolute_error: 0.626, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.779, scimark_benchmark: 1896.9574, usercpu_time_millis: 2341.791, usercpu_time_millis_testing: 1.499, usercpu_time_millis_training: 2340.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 963.1721, mean_absolute_error: 0.3883, 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: 0.7822, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8807, scimark_benchmark: 2032.8771, usercpu_time_millis: 196.79, usercpu_time_millis_testing: 0.958, usercpu_time_millis_training: 195.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0982, 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: 1898.6685, usercpu_time_millis: 6.021, usercpu_time_millis_testing: 0.78, usercpu_time_millis_training: 5.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.7514, kappa: 0.4985, kb_relative_information_score: 1252.8163, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7551, predictive_accuracy: 0.7537, prior_entropy: 0.9948, recall: 0.7537, relative_absolute_error: 0.7017, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8314, scimark_benchmark: 1730.2409, usercpu_time_millis: 2709.234, usercpu_time_millis_testing: 2.329, usercpu_time_millis_training: 2706.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.806, kappa: 0.6087, kb_relative_information_score: 1615.0745, mean_absolute_error: 0.3, 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: 0.6043, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7568, scimark_benchmark: 1826.9539, usercpu_time_millis: 2558.462, usercpu_time_millis_testing: 3.212, usercpu_time_millis_training: 2555.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.7661, kappa: 0.5281, kb_relative_information_score: 1340.3895, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7686, predictive_accuracy: 0.7678, prior_entropy: 0.9948, recall: 0.7678, relative_absolute_error: 0.6765, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8096, scimark_benchmark: 1851.8567, usercpu_time_millis: 2291.492, usercpu_time_millis_testing: 1.776, usercpu_time_millis_training: 2289.716,

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