OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 54817 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6702, f_measure: 0.6169, kappa: 0.2338, kb_relative_information_score: 48.816, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.617, predictive_accuracy: 0.6169, prior_entropy: 1, recall: 0.6169, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4937, root_relative_squared_error: 0.9874, scimark_benchmark: 1837.799, usercpu_time_millis: 16.315, usercpu_time_millis_testing: 1.387, usercpu_time_millis_training: 14.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6624, f_measure: 0.6144, kappa: 0.2292, kb_relative_information_score: 176.9433, mean_absolute_error: 0.4737, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6149, predictive_accuracy: 0.6146, prior_entropy: 1, recall: 0.6146, relative_absolute_error: 0.9473, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4834, root_relative_squared_error: 0.9667, scimark_benchmark: 1847.0269, usercpu_time_millis: 36.121, usercpu_time_millis_testing: 0.874, usercpu_time_millis_training: 35.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, f_measure: 0.708, kappa: 0.42, kb_relative_information_score: 412.2841, mean_absolute_error: 0.4354, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.716, predictive_accuracy: 0.71, prior_entropy: 1, recall: 0.71, relative_absolute_error: 0.8708, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4505, root_relative_squared_error: 0.9009, scimark_benchmark: 1855.4813, usercpu_time_millis: 46.818, usercpu_time_millis_testing: 0.981, usercpu_time_millis_training: 45.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.8392, kappa: 0.6785, kb_relative_information_score: 1078.7031, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8397, predictive_accuracy: 0.8392, prior_entropy: 1, recall: 0.8392, relative_absolute_error: 0.6321, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.7285, scimark_benchmark: 1848.5692, usercpu_time_millis: 590.93, usercpu_time_millis_testing: 1.322, usercpu_time_millis_training: 589.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1847.8629, usercpu_time_millis: 3.666, usercpu_time_millis_testing: 0.646, usercpu_time_millis_training: 3.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, f_measure: 0.6144, kappa: 0.2292, kb_relative_information_score: 172.1778, mean_absolute_error: 0.4745, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6149, predictive_accuracy: 0.6146, prior_entropy: 1, recall: 0.6146, relative_absolute_error: 0.9489, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4838, root_relative_squared_error: 0.9676, scimark_benchmark: 1767.815, usercpu_time_millis: 8.796, usercpu_time_millis_testing: 0.487, usercpu_time_millis_training: 8.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.7468, kappa: 0.4969, kb_relative_information_score: 629.2981, mean_absolute_error: 0.3972, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7551, predictive_accuracy: 0.7485, prior_entropy: 1, recall: 0.7485, relative_absolute_error: 0.7945, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.425, root_relative_squared_error: 0.8499, scimark_benchmark: 1826.7882, usercpu_time_millis: 925.348, usercpu_time_millis_testing: 1.475, usercpu_time_millis_training: 923.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6722, f_measure: 0.6111, kappa: 0.2223, kb_relative_information_score: 192.4228, mean_absolute_error: 0.4711, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6112, predictive_accuracy: 0.6112, prior_entropy: 1, recall: 0.6112, relative_absolute_error: 0.9421, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.481, root_relative_squared_error: 0.962, scimark_benchmark: 1673.3588, usercpu_time_millis: 47.081, usercpu_time_millis_testing: 0.875, usercpu_time_millis_training: 46.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8311, kappa: 0.6623, kb_relative_information_score: 1031.478, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8315, predictive_accuracy: 0.8312, prior_entropy: 1, recall: 0.8312, relative_absolute_error: 0.649, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.7457, scimark_benchmark: 1806.7994, usercpu_time_millis: 59.722, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 59.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.8669, kappa: 0.7338, kb_relative_information_score: 1180.7046, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.867, predictive_accuracy: 0.8669, prior_entropy: 1, recall: 0.8669, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.6911, scimark_benchmark: 1797.7921, usercpu_time_millis: 281.128, usercpu_time_millis_testing: 1.322, usercpu_time_millis_training: 279.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8403, kappa: 0.6808, kb_relative_information_score: 1050.9363, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8407, predictive_accuracy: 0.8404, prior_entropy: 1, recall: 0.8404, relative_absolute_error: 0.6426, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.7345, scimark_benchmark: 1810.2033, usercpu_time_millis: 442.47, usercpu_time_millis_testing: 1.558, usercpu_time_millis_training: 440.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.8272, kappa: 0.6546, kb_relative_information_score: 889.7031, mean_absolute_error: 0.3523, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8279, predictive_accuracy: 0.8273, prior_entropy: 1, recall: 0.8273, relative_absolute_error: 0.7046, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.7738, scimark_benchmark: 1792.8628, usercpu_time_millis: 500.095, usercpu_time_millis_testing: 1.622, usercpu_time_millis_training: 498.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 1252.5719, mean_absolute_error: 0.2805, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8451, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.6978, scimark_benchmark: 1810.0985, usercpu_time_millis: 508.859, usercpu_time_millis_testing: 0.891, usercpu_time_millis_training: 507.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8546, kappa: 0.7092, kb_relative_information_score: 1251.5238, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8547, predictive_accuracy: 0.8546, prior_entropy: 1, recall: 0.8546, relative_absolute_error: 0.564, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.6855, scimark_benchmark: 1774.7074, usercpu_time_millis: 527.055, usercpu_time_millis_testing: 0.938, usercpu_time_millis_training: 526.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1372.8464, usercpu_time_millis: 2.983, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 2.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, f_measure: 0.7383, kappa: 0.4792, kb_relative_information_score: 563.1961, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7445, predictive_accuracy: 0.7396, prior_entropy: 1, recall: 0.7396, relative_absolute_error: 0.8175, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.8646, scimark_benchmark: 1366.8204, usercpu_time_millis: 26.721, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 26.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6425, f_measure: 0.6165, kappa: 0.2338, kb_relative_information_score: 183.3178, mean_absolute_error: 0.4728, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6175, predictive_accuracy: 0.6169, prior_entropy: 1, recall: 0.6169, relative_absolute_error: 0.9456, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4848, root_relative_squared_error: 0.9695, scimark_benchmark: 1364.9894, usercpu_time_millis: 13.276, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 12.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.7608, kappa: 0.5238, kb_relative_information_score: 535.2983, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7668, predictive_accuracy: 0.7619, prior_entropy: 1, recall: 0.7619, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.8625, scimark_benchmark: 1373.078, usercpu_time_millis: 142.52, usercpu_time_millis_testing: 1.383, usercpu_time_millis_training: 141.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.7381, kappa: 0.4785, kb_relative_information_score: 545.3951, mean_absolute_error: 0.4123, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7435, predictive_accuracy: 0.7392, prior_entropy: 1, recall: 0.7392, relative_absolute_error: 0.8245, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8682, scimark_benchmark: 1368.4171, usercpu_time_millis: 13.727, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 13.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1369.4563, usercpu_time_millis: 4.341, usercpu_time_millis_testing: 0.827, usercpu_time_millis_training: 3.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1363.869, usercpu_time_millis: 2.791, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 2.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8554, kappa: 0.7108, kb_relative_information_score: 1085.9011, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8557, predictive_accuracy: 0.8554, prior_entropy: 1, recall: 0.8554, relative_absolute_error: 0.6326, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7174, scimark_benchmark: 1371.7781, usercpu_time_millis: 280.43, usercpu_time_millis_testing: 0.924, usercpu_time_millis_training: 279.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6591, f_measure: 0.6151, kappa: 0.2308, kb_relative_information_score: 172.7571, mean_absolute_error: 0.4744, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6157, predictive_accuracy: 0.6154, prior_entropy: 1, recall: 0.6154, relative_absolute_error: 0.9487, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9674, scimark_benchmark: 1364.8747, usercpu_time_millis: 52.684, usercpu_time_millis_testing: 0.881, usercpu_time_millis_training: 51.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1372.0197, usercpu_time_millis: 6.126, usercpu_time_millis_testing: 0.901, usercpu_time_millis_training: 5.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6661, f_measure: 0.6167, kappa: 0.2338, kb_relative_information_score: 180.8332, mean_absolute_error: 0.473, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6172, predictive_accuracy: 0.6169, prior_entropy: 1, recall: 0.6169, relative_absolute_error: 0.9461, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.483, root_relative_squared_error: 0.9659, scimark_benchmark: 1370.8849, usercpu_time_millis: 28.239, usercpu_time_millis_testing: 0.651, usercpu_time_millis_training: 27.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.6146, kappa: 0.2292, kb_relative_information_score: 231.0612, mean_absolute_error: 0.4647, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6147, predictive_accuracy: 0.6146, prior_entropy: 1, recall: 0.6146, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4773, root_relative_squared_error: 0.9546, scimark_benchmark: 1371.9018, usercpu_time_millis: 58.551, usercpu_time_millis_testing: 0.708, usercpu_time_millis_training: 57.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.8105, kappa: 0.6215, kb_relative_information_score: 767.089, mean_absolute_error: 0.3749, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8123, predictive_accuracy: 0.8108, prior_entropy: 1, recall: 0.8108, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8037, scimark_benchmark: 1372.1341, usercpu_time_millis: 143.113, usercpu_time_millis_testing: 0.811, usercpu_time_millis_training: 142.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1371.1205, usercpu_time_millis: 4.615, usercpu_time_millis_testing: 0.865, usercpu_time_millis_training: 3.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.6324, kappa: 0.2654, kb_relative_information_score: 88.8425, mean_absolute_error: 0.4875, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6331, predictive_accuracy: 0.6327, prior_entropy: 1, recall: 0.6327, relative_absolute_error: 0.975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4887, root_relative_squared_error: 0.9774, scimark_benchmark: 1366.0243, usercpu_time_millis: 80.902, usercpu_time_millis_testing: 3.741, usercpu_time_millis_training: 77.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8627, kappa: 0.7254, kb_relative_information_score: 1248.0797, mean_absolute_error: 0.2835, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8628, predictive_accuracy: 0.8627, prior_entropy: 1, recall: 0.8627, relative_absolute_error: 0.567, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.6812, scimark_benchmark: 1371.1265, usercpu_time_millis: 491.34, usercpu_time_millis_testing: 0.932, usercpu_time_millis_training: 490.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.825, kappa: 0.65, kb_relative_information_score: 952.3901, mean_absolute_error: 0.3398, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8253, predictive_accuracy: 0.825, prior_entropy: 1, recall: 0.825, relative_absolute_error: 0.6797, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7637, scimark_benchmark: 1370.3398, usercpu_time_millis: 257.005, usercpu_time_millis_testing: 0.507, usercpu_time_millis_training: 256.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1363.4259, usercpu_time_millis: 3.246, usercpu_time_millis_testing: 0.513, usercpu_time_millis_training: 2.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7472, kappa: 0.4962, kb_relative_information_score: 621.8057, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7517, predictive_accuracy: 0.7481, prior_entropy: 1, recall: 0.7481, relative_absolute_error: 0.797, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8497, scimark_benchmark: 1365.075, usercpu_time_millis: 211.562, usercpu_time_millis_testing: 1.21, usercpu_time_millis_training: 210.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.727, kappa: 0.4577, kb_relative_information_score: 525.195, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.735, predictive_accuracy: 0.7288, prior_entropy: 1, recall: 0.7288, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.8746, scimark_benchmark: 1364.4044, usercpu_time_millis: 60.252, usercpu_time_millis_testing: 0.734, usercpu_time_millis_training: 59.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8415, kappa: 0.6831, kb_relative_information_score: 1389.5537, mean_absolute_error: 0.2492, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8416, predictive_accuracy: 0.8415, prior_entropy: 1, recall: 0.8415, relative_absolute_error: 0.4983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6894, scimark_benchmark: 1367.0057, usercpu_time_millis: 266.882, usercpu_time_millis_testing: 0.562, usercpu_time_millis_training: 266.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.8538, kappa: 0.7077, kb_relative_information_score: 1382.8221, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8539, predictive_accuracy: 0.8538, prior_entropy: 1, recall: 0.8538, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.335, root_relative_squared_error: 0.6699, scimark_benchmark: 1363.3287, usercpu_time_millis: 1473.457, usercpu_time_millis_testing: 2.735, usercpu_time_millis_training: 1470.722,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7244, f_measure: 0.667, kappa: 0.34, kb_relative_information_score: 412.7442, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6764, predictive_accuracy: 0.67, prior_entropy: 1, recall: 0.67, relative_absolute_error: 0.8668, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9226, scimark_benchmark: 1738.3614, usercpu_time_millis: 161.639, usercpu_time_millis_testing: 0.914, usercpu_time_millis_training: 160.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.8134, kappa: 0.6269, kb_relative_information_score: 871.5559, mean_absolute_error: 0.3546, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8141, predictive_accuracy: 0.8135, prior_entropy: 1, recall: 0.8135, relative_absolute_error: 0.7092, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.7843, scimark_benchmark: 1828.0166, usercpu_time_millis: 937.444, usercpu_time_millis_testing: 1.819, usercpu_time_millis_training: 935.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.7545, kappa: 0.5115, kb_relative_information_score: 543.0298, mean_absolute_error: 0.4145, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7611, predictive_accuracy: 0.7558, prior_entropy: 1, recall: 0.7558, relative_absolute_error: 0.829, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.8611, scimark_benchmark: 1737.219, usercpu_time_millis: 196.438, usercpu_time_millis_testing: 2.18, usercpu_time_millis_training: 194.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8377, kappa: 0.6754, kb_relative_information_score: 1068.2435, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8379, predictive_accuracy: 0.8377, prior_entropy: 1, recall: 0.8377, relative_absolute_error: 0.6374, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.7282, scimark_benchmark: 1755.0063, usercpu_time_millis: 621.156, usercpu_time_millis_testing: 1.361, usercpu_time_millis_training: 619.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8334, kappa: 0.6669, kb_relative_information_score: 925.7194, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8338, predictive_accuracy: 0.8335, prior_entropy: 1, recall: 0.8335, relative_absolute_error: 0.6927, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7611, scimark_benchmark: 1746.3382, usercpu_time_millis: 657.072, usercpu_time_millis_testing: 2.049, usercpu_time_millis_training: 655.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4505, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1815.8241, usercpu_time_millis: 4.344, usercpu_time_millis_testing: 0.656, usercpu_time_millis_training: 3.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6695, f_measure: 0.6163, kappa: 0.2331, kb_relative_information_score: 183.0737, mean_absolute_error: 0.4726, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6168, predictive_accuracy: 0.6165, prior_entropy: 1, recall: 0.6165, relative_absolute_error: 0.9453, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4823, root_relative_squared_error: 0.9647, scimark_benchmark: 1751.2369, usercpu_time_millis: 10.052, usercpu_time_millis_testing: 0.336, usercpu_time_millis_training: 9.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6497, f_measure: 0.6159, kappa: 0.2323, kb_relative_information_score: 179.6433, mean_absolute_error: 0.4733, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6165, predictive_accuracy: 0.6162, prior_entropy: 1, recall: 0.6162, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4841, root_relative_squared_error: 0.9683, scimark_benchmark: 1743.5203, usercpu_time_millis: 30.456, usercpu_time_millis_testing: 0.524, usercpu_time_millis_training: 29.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.7203, kappa: 0.4438, kb_relative_information_score: 535.0276, mean_absolute_error: 0.4121, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7274, predictive_accuracy: 0.7219, prior_entropy: 1, recall: 0.7219, relative_absolute_error: 0.8243, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8777, scimark_benchmark: 1753.1034, usercpu_time_millis: 71.588, usercpu_time_millis_testing: 0.603, usercpu_time_millis_training: 70.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.731, kappa: 0.4646, kb_relative_information_score: 593.1826, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7367, predictive_accuracy: 0.7323, prior_entropy: 1, recall: 0.7323, relative_absolute_error: 0.8046, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.8618, scimark_benchmark: 1749.461, usercpu_time_millis: 91.533, usercpu_time_millis_testing: 0.621, usercpu_time_millis_training: 90.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 1251.7966, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8453, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.5627, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.6893, scimark_benchmark: 1815.55, usercpu_time_millis: 120.724, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 120.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.7684, kappa: 0.5377, kb_relative_information_score: 701.6735, mean_absolute_error: 0.3844, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7711, predictive_accuracy: 0.7688, prior_entropy: 1, recall: 0.7688, relative_absolute_error: 0.7688, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.831, scimark_benchmark: 1820.5289, usercpu_time_millis: 251.81, usercpu_time_millis_testing: 0.62, usercpu_time_millis_training: 251.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.779, kappa: 0.5592, kb_relative_information_score: 723.9835, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7828, predictive_accuracy: 0.7796, prior_entropy: 1, recall: 0.7796, relative_absolute_error: 0.7623, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8225, scimark_benchmark: 1745.4414, usercpu_time_millis: 419.865, usercpu_time_millis_testing: 1.192, usercpu_time_millis_training: 418.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8388, kappa: 0.6777, kb_relative_information_score: 1029.8928, mean_absolute_error: 0.3258, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8391, predictive_accuracy: 0.8388, prior_entropy: 1, recall: 0.8388, relative_absolute_error: 0.6516, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.7396, scimark_benchmark: 1712.1417, usercpu_time_millis: 449.398, usercpu_time_millis_testing: 0.971, usercpu_time_millis_training: 448.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.7842, kappa: 0.5692, kb_relative_information_score: 743.7156, mean_absolute_error: 0.3776, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.787, predictive_accuracy: 0.7846, prior_entropy: 1, recall: 0.7846, relative_absolute_error: 0.7551, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8179, scimark_benchmark: 1821.149, usercpu_time_millis: 504.255, usercpu_time_millis_testing: 1.094, usercpu_time_millis_training: 503.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.8245, kappa: 0.6492, kb_relative_information_score: 877.3442, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8253, predictive_accuracy: 0.8246, prior_entropy: 1, recall: 0.8246, relative_absolute_error: 0.7099, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.7755, scimark_benchmark: 1817.0717, usercpu_time_millis: 567.543, usercpu_time_millis_testing: 1.809, usercpu_time_millis_training: 565.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1754.5392, usercpu_time_millis: 2.881, usercpu_time_millis_testing: 0.465, usercpu_time_millis_training: 2.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1716.9359, usercpu_time_millis: 5.707, usercpu_time_millis_testing: 0.94, usercpu_time_millis_training: 4.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.8304, kappa: 0.6608, kb_relative_information_score: 1025.2252, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8307, predictive_accuracy: 0.8304, prior_entropy: 1, recall: 0.8304, relative_absolute_error: 0.653, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7428, scimark_benchmark: 1771.2411, usercpu_time_millis: 1458.097, usercpu_time_millis_testing: 1.644, usercpu_time_millis_training: 1456.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.8438, kappa: 0.6877, kb_relative_information_score: 1056.503, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8441, predictive_accuracy: 0.8438, prior_entropy: 1, recall: 0.8438, relative_absolute_error: 0.6427, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7297, scimark_benchmark: 1726.7725, usercpu_time_millis: 2087.325, usercpu_time_millis_testing: 2.979, usercpu_time_millis_training: 2084.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8369, kappa: 0.6738, kb_relative_information_score: 1338.7034, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8371, predictive_accuracy: 0.8369, prior_entropy: 1, recall: 0.8369, relative_absolute_error: 0.5206, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.6972, scimark_benchmark: 1765.2744, usercpu_time_millis: 2368.13, usercpu_time_millis_testing: 2.282, usercpu_time_millis_training: 2365.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.8292, kappa: 0.6585, kb_relative_information_score: 947.7308, mean_absolute_error: 0.3414, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8295, predictive_accuracy: 0.8292, prior_entropy: 1, recall: 0.8292, relative_absolute_error: 0.6829, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.7592, scimark_benchmark: 1812.7181, usercpu_time_millis: 347.71, usercpu_time_millis_testing: 1.289, usercpu_time_millis_training: 346.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8442, kappa: 0.6885, kb_relative_information_score: 937.1485, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8449, predictive_accuracy: 0.8442, prior_entropy: 1, recall: 0.8442, relative_absolute_error: 0.6902, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7529, scimark_benchmark: 1750.0041, usercpu_time_millis: 376.885, usercpu_time_millis_testing: 2.053, usercpu_time_millis_training: 374.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.8581, kappa: 0.7162, kb_relative_information_score: 1363.5215, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8581, predictive_accuracy: 0.8581, prior_entropy: 1, recall: 0.8581, relative_absolute_error: 0.5164, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3323, root_relative_squared_error: 0.6646, scimark_benchmark: 1785.212, usercpu_time_millis: 354.04, usercpu_time_millis_testing: 0.848, usercpu_time_millis_training: 353.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.8404, kappa: 0.6808, kb_relative_information_score: 1148.3715, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8406, predictive_accuracy: 0.8404, prior_entropy: 1, recall: 0.8404, relative_absolute_error: 0.6042, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.7154, scimark_benchmark: 1713.4448, usercpu_time_millis: 491.725, usercpu_time_millis_testing: 0.947, usercpu_time_millis_training: 490.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8346, kappa: 0.6692, kb_relative_information_score: 933.6891, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.835, predictive_accuracy: 0.8346, prior_entropy: 1, recall: 0.8346, relative_absolute_error: 0.6896, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3794, root_relative_squared_error: 0.7587, scimark_benchmark: 1842.8155, usercpu_time_millis: 496.951, usercpu_time_millis_testing: 2.221, usercpu_time_millis_training: 494.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, f_measure: 0.611, kappa: 0.2223, kb_relative_information_score: 155.3651, mean_absolute_error: 0.4771, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6113, predictive_accuracy: 0.6112, prior_entropy: 1, recall: 0.6112, relative_absolute_error: 0.9542, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4842, root_relative_squared_error: 0.9685, scimark_benchmark: 2131.0775, usercpu_time_millis: 11.011, usercpu_time_millis_testing: 0.625, usercpu_time_millis_training: 10.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.613, kappa: 0.2262, kb_relative_information_score: 222.3272, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6132, predictive_accuracy: 0.6131, prior_entropy: 1, recall: 0.6131, relative_absolute_error: 0.9325, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4787, root_relative_squared_error: 0.9573, scimark_benchmark: 1836.2249, usercpu_time_millis: 49.438, usercpu_time_millis_testing: 0.641, usercpu_time_millis_training: 48.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.8357, kappa: 0.6715, kb_relative_information_score: 1061.542, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8361, predictive_accuracy: 0.8358, prior_entropy: 1, recall: 0.8358, relative_absolute_error: 0.6386, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7353, scimark_benchmark: 1768.7387, usercpu_time_millis: 514.688, usercpu_time_millis_testing: 0.618, usercpu_time_millis_training: 514.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5811, f_measure: 0.5591, kappa: 0.1185, kb_relative_information_score: 31.5114, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5593, predictive_accuracy: 0.5592, prior_entropy: 1, recall: 0.5592, relative_absolute_error: 0.9912, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.9931, scimark_benchmark: 1019.9907, usercpu_time_millis: 4.345, usercpu_time_millis_testing: 0.679, usercpu_time_millis_training: 3.666,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs