OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31592 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9056, kappa: 0.7661, kb_relative_information_score: 21159.8955, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9055, predictive_accuracy: 0.9068, prior_entropy: 0.863, recall: 0.9068, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2667, root_relative_squared_error: 0.5904, scimark_benchmark: 1855.0232, usercpu_time_millis: 423.41, usercpu_time_millis_testing: 4.055, usercpu_time_millis_training: 419.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9574, kappa: 0.8955, kb_relative_information_score: 28140.3933, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9574, predictive_accuracy: 0.9575, prior_entropy: 0.863, recall: 0.9575, relative_absolute_error: 0.1939, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.4021, scimark_benchmark: 1848.321, usercpu_time_millis: 462.56, usercpu_time_millis_testing: 5.993, usercpu_time_millis_training: 456.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9476, kappa: 0.8711, kb_relative_information_score: 26893.7189, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9475, predictive_accuracy: 0.9477, prior_entropy: 0.863, recall: 0.9477, relative_absolute_error: 0.2296, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.4485, scimark_benchmark: 1842.0729, usercpu_time_millis: 478.543, usercpu_time_millis_testing: 3.035, usercpu_time_millis_training: 475.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.941, kappa: 0.8543, kb_relative_information_score: 26190.4008, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.941, predictive_accuracy: 0.9414, prior_entropy: 0.863, recall: 0.9414, relative_absolute_error: 0.2484, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.4686, scimark_benchmark: 1852.9259, usercpu_time_millis: 1316.443, usercpu_time_millis_testing: 6.159, usercpu_time_millis_training: 1310.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9316, kappa: 0.8298, kb_relative_information_score: 24968.337, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9326, predictive_accuracy: 0.9328, prior_entropy: 0.863, recall: 0.9328, relative_absolute_error: 0.2889, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.4975, scimark_benchmark: 1853.9121, usercpu_time_millis: 1181.894, usercpu_time_millis_testing: 9.357, usercpu_time_millis_training: 1172.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.922, kappa: 0.8044, kb_relative_information_score: 24664.7532, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9255, predictive_accuracy: 0.9243, prior_entropy: 0.863, recall: 0.9243, relative_absolute_error: 0.2955, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.5096, scimark_benchmark: 1851.8567, usercpu_time_millis: 1635.255, usercpu_time_millis_testing: 11.452, usercpu_time_millis_training: 1623.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9163, kappa: 0.7894, kb_relative_information_score: 24321.0429, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9215, predictive_accuracy: 0.9193, prior_entropy: 0.863, recall: 0.9193, relative_absolute_error: 0.3059, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2351, root_relative_squared_error: 0.5204, scimark_benchmark: 1845.2509, usercpu_time_millis: 1719.999, usercpu_time_millis_testing: 9.193, usercpu_time_millis_training: 1710.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9161, kappa: 0.7888, kb_relative_information_score: 24419.0205, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9212, predictive_accuracy: 0.919, prior_entropy: 0.863, recall: 0.919, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.5208, scimark_benchmark: 1850.8706, usercpu_time_millis: 1793.519, usercpu_time_millis_testing: 9.91, usercpu_time_millis_training: 1783.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9224, kappa: 0.8057, kb_relative_information_score: 24729.4364, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9255, predictive_accuracy: 0.9246, prior_entropy: 0.863, recall: 0.9246, relative_absolute_error: 0.2904, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.231, root_relative_squared_error: 0.5113, scimark_benchmark: 1850.8706, usercpu_time_millis: 1770.072, usercpu_time_millis_testing: 7.337, usercpu_time_millis_training: 1762.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9169, kappa: 0.791, kb_relative_information_score: 24234.7981, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9222, predictive_accuracy: 0.9199, prior_entropy: 0.863, recall: 0.9199, relative_absolute_error: 0.3104, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.52, scimark_benchmark: 1831.7154, usercpu_time_millis: 1799.843, usercpu_time_millis_testing: 12.302, usercpu_time_millis_training: 1787.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9316, kappa: 0.8302, kb_relative_information_score: 25192.4386, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9323, predictive_accuracy: 0.9327, prior_entropy: 0.863, recall: 0.9327, relative_absolute_error: 0.2731, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.5019, scimark_benchmark: 1853.9121, usercpu_time_millis: 1735.584, usercpu_time_millis_testing: 6.616, usercpu_time_millis_training: 1728.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9371, kappa: 0.8442, kb_relative_information_score: 26058.7922, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9374, predictive_accuracy: 0.9378, prior_entropy: 0.863, recall: 0.9378, relative_absolute_error: 0.2525, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.4721, scimark_benchmark: 1847.3406, usercpu_time_millis: 541.927, usercpu_time_millis_testing: 2.744, usercpu_time_millis_training: 539.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.8677, kappa: 0.677, kb_relative_information_score: 16668.7275, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8682, predictive_accuracy: 0.8673, prior_entropy: 0.863, recall: 0.8673, relative_absolute_error: 0.5346, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6825, scimark_benchmark: 1833.6579, usercpu_time_millis: 535.899, usercpu_time_millis_testing: 10.427, usercpu_time_millis_training: 525.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9132, kappa: 0.7846, kb_relative_information_score: 23024.3075, mean_absolute_error: 0.1425, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9135, predictive_accuracy: 0.9145, prior_entropy: 0.863, recall: 0.9145, relative_absolute_error: 0.3492, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2442, root_relative_squared_error: 0.5407, scimark_benchmark: 1853.9121, usercpu_time_millis: 574.642, usercpu_time_millis_testing: 3.051, usercpu_time_millis_training: 571.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9284, kappa: 0.8213, kb_relative_information_score: 24997.9194, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9302, predictive_accuracy: 0.93, prior_entropy: 0.863, recall: 0.93, relative_absolute_error: 0.2858, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.5005, scimark_benchmark: 1848.3223, usercpu_time_millis: 615.943, usercpu_time_millis_testing: 4.899, usercpu_time_millis_training: 611.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9373, kappa: 0.845, kb_relative_information_score: 25588.8622, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9375, predictive_accuracy: 0.938, prior_entropy: 0.863, recall: 0.938, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.4792, scimark_benchmark: 1845.3208, usercpu_time_millis: 607.097, usercpu_time_millis_testing: 6.355, usercpu_time_millis_training: 600.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9486, kappa: 0.8731, kb_relative_information_score: 26214.5562, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9486, predictive_accuracy: 0.949, prior_entropy: 0.863, recall: 0.949, relative_absolute_error: 0.2579, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4461, scimark_benchmark: 1841.6847, usercpu_time_millis: 525.762, usercpu_time_millis_testing: 16.599, usercpu_time_millis_training: 509.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9478, kappa: 0.8715, kb_relative_information_score: 26955.2675, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9477, predictive_accuracy: 0.948, prior_entropy: 0.863, recall: 0.948, relative_absolute_error: 0.2293, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.4442, scimark_benchmark: 1851.8567, usercpu_time_millis: 511.015, usercpu_time_millis_testing: 7.296, usercpu_time_millis_training: 503.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9424, kappa: 0.858, kb_relative_information_score: 26321.2612, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9424, predictive_accuracy: 0.9428, prior_entropy: 0.863, recall: 0.9428, relative_absolute_error: 0.2459, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.4629, scimark_benchmark: 1849.3014, usercpu_time_millis: 669.066, usercpu_time_millis_testing: 7.772, usercpu_time_millis_training: 661.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9017, kappa: 0.7566, kb_relative_information_score: 19512.4288, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9014, predictive_accuracy: 0.9027, prior_entropy: 0.863, recall: 0.9027, relative_absolute_error: 0.4477, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2788, root_relative_squared_error: 0.6172, scimark_benchmark: 1731.9012, usercpu_time_millis: 807.397, usercpu_time_millis_testing: 9.555, usercpu_time_millis_training: 797.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9351, kappa: 0.8388, kb_relative_information_score: 25464.6261, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9357, predictive_accuracy: 0.936, prior_entropy: 0.863, recall: 0.936, relative_absolute_error: 0.2697, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.4904, scimark_benchmark: 1835.5512, usercpu_time_millis: 602.062, usercpu_time_millis_testing: 6.556, usercpu_time_millis_training: 595.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9333, kappa: 0.8345, kb_relative_information_score: 24999.3085, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9339, predictive_accuracy: 0.9343, prior_entropy: 0.863, recall: 0.9343, relative_absolute_error: 0.2898, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.493, scimark_benchmark: 1849.7595, usercpu_time_millis: 621.618, usercpu_time_millis_testing: 11.71, usercpu_time_millis_training: 609.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9336, kappa: 0.8353, kb_relative_information_score: 25352.5452, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9342, predictive_accuracy: 0.9346, prior_entropy: 0.863, recall: 0.9346, relative_absolute_error: 0.2692, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.4967, scimark_benchmark: 1844.2676, usercpu_time_millis: 802.507, usercpu_time_millis_testing: 3.577, usercpu_time_millis_training: 798.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9333, kappa: 0.8345, kb_relative_information_score: 25108.9645, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9338, predictive_accuracy: 0.9343, prior_entropy: 0.863, recall: 0.9343, relative_absolute_error: 0.2856, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.4921, scimark_benchmark: 1843.1261, usercpu_time_millis: 803.122, usercpu_time_millis_testing: 10.195, usercpu_time_millis_training: 792.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9169, kappa: 0.7912, kb_relative_information_score: 23962.8727, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9215, predictive_accuracy: 0.9197, prior_entropy: 0.863, recall: 0.9197, relative_absolute_error: 0.3201, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.5241, scimark_benchmark: 1846.6923, usercpu_time_millis: 918.855, usercpu_time_millis_testing: 6.213, usercpu_time_millis_training: 912.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.8739, kappa: 0.6801, kb_relative_information_score: 12651.4452, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8831, predictive_accuracy: 0.8805, prior_entropy: 0.863, recall: 0.8805, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.7278, scimark_benchmark: 1850.9434, usercpu_time_millis: 16.214, usercpu_time_millis_testing: 1.3, usercpu_time_millis_training: 14.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -9.6989, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1846.7651, usercpu_time_millis: 22.371, usercpu_time_millis_testing: 3.38, usercpu_time_millis_training: 18.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 3.816, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1840.7617, usercpu_time_millis: 12.808, usercpu_time_millis_testing: 0.773, usercpu_time_millis_training: 12.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -6.4428, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1851.8567, usercpu_time_millis: 29.279, usercpu_time_millis_testing: 4.641, usercpu_time_millis_training: 24.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 1.6911, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1847.2541, usercpu_time_millis: 12.663, usercpu_time_millis_testing: 0.582, usercpu_time_millis_training: 12.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9231, kappa: 0.8076, kb_relative_information_score: 23051.7896, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9259, predictive_accuracy: 0.9252, prior_entropy: 0.863, recall: 0.9252, relative_absolute_error: 0.3597, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.5229, scimark_benchmark: 1849.3014, usercpu_time_millis: 46.896, usercpu_time_millis_testing: 1.322, usercpu_time_millis_training: 45.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -8.5756, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1850.9434, usercpu_time_millis: 43.254, usercpu_time_millis_testing: 5.436, usercpu_time_millis_training: 37.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9504, kappa: 0.8781, kb_relative_information_score: 27192.7468, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9503, predictive_accuracy: 0.9506, prior_entropy: 0.863, recall: 0.9506, relative_absolute_error: 0.2224, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.436, scimark_benchmark: 1849.8294, usercpu_time_millis: 54.144, usercpu_time_millis_testing: 1.072, usercpu_time_millis_training: 53.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.5418, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1811.7508, usercpu_time_millis: 32.066, usercpu_time_millis_testing: 1.91, usercpu_time_millis_training: 30.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -6.1146, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1852.4008, usercpu_time_millis: 33.918, usercpu_time_millis_testing: 3.999, usercpu_time_millis_training: 29.919,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9633, kappa: 0.91, kb_relative_information_score: 29173.2074, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9633, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.1626, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3719, scimark_benchmark: 1847.3406, usercpu_time_millis: 17.676, usercpu_time_millis_testing: 0.842, usercpu_time_millis_training: 16.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.0272, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1849.6041, usercpu_time_millis: 40.67, usercpu_time_millis_testing: 2.459, usercpu_time_millis_training: 38.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -4.0203, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1854.568, usercpu_time_millis: 23.79, usercpu_time_millis_testing: 3.816, usercpu_time_millis_training: 19.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.8907, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1849.3742, usercpu_time_millis: 54.945, usercpu_time_millis_testing: 7.77, usercpu_time_millis_training: 47.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9169, kappa: 0.7912, kb_relative_information_score: 22413.4821, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9215, predictive_accuracy: 0.9197, prior_entropy: 0.863, recall: 0.9197, relative_absolute_error: 0.3775, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.5388, scimark_benchmark: 1829.1648, usercpu_time_millis: 85.868, usercpu_time_millis_testing: 2.349, usercpu_time_millis_training: 83.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.8708, kappa: 0.6831, kb_relative_information_score: 15408.8716, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8707, predictive_accuracy: 0.8709, prior_entropy: 0.863, recall: 0.8709, relative_absolute_error: 0.58, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.6842, scimark_benchmark: 1845.2509, usercpu_time_millis: 71.519, usercpu_time_millis_testing: 3.926, usercpu_time_millis_training: 67.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8587, kappa: 0.6532, kb_relative_information_score: 15126.3082, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8585, predictive_accuracy: 0.8589, prior_entropy: 0.863, recall: 0.8589, relative_absolute_error: 0.5903, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.7314, scimark_benchmark: 1846.2342, usercpu_time_millis: 75.689, usercpu_time_millis_testing: 2.656, usercpu_time_millis_training: 73.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9551, kappa: 0.8898, kb_relative_information_score: 27963.6581, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.955, predictive_accuracy: 0.9551, prior_entropy: 0.863, recall: 0.9551, relative_absolute_error: 0.1974, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.4135, scimark_benchmark: 1853.454, usercpu_time_millis: 72.013, usercpu_time_millis_testing: 0.782, usercpu_time_millis_training: 71.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.8593, kappa: 0.6544, kb_relative_information_score: 15359.5715, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.859, predictive_accuracy: 0.8597, prior_entropy: 0.863, recall: 0.8597, relative_absolute_error: 0.584, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.7222, scimark_benchmark: 1852.9988, usercpu_time_millis: 102.195, usercpu_time_millis_testing: 5.155, usercpu_time_millis_training: 97.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.8992, kappa: 0.7485, kb_relative_information_score: 15135.1285, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9002, predictive_accuracy: 0.9014, prior_entropy: 0.863, recall: 0.9014, relative_absolute_error: 0.5958, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3051, root_relative_squared_error: 0.6753, scimark_benchmark: 1853.9849, usercpu_time_millis: 120.278, usercpu_time_millis_testing: 9.505, usercpu_time_millis_training: 110.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.8681, kappa: 0.6787, kb_relative_information_score: 17218.8966, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8691, predictive_accuracy: 0.8673, prior_entropy: 0.863, recall: 0.8673, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.6832, scimark_benchmark: 1834.7707, usercpu_time_millis: 108.047, usercpu_time_millis_testing: 1.134, usercpu_time_millis_training: 106.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9248, kappa: 0.8124, kb_relative_information_score: 21572.3069, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9265, predictive_accuracy: 0.9264, prior_entropy: 0.863, recall: 0.9264, relative_absolute_error: 0.4079, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2459, root_relative_squared_error: 0.5444, scimark_benchmark: 1851.4233, usercpu_time_millis: 157.945, usercpu_time_millis_testing: 6.444, usercpu_time_millis_training: 151.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9643, kappa: 0.9123, kb_relative_information_score: 29059.4825, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9642, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.1672, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.3713, scimark_benchmark: 1848.7762, usercpu_time_millis: 146.636, usercpu_time_millis_testing: 2.564, usercpu_time_millis_training: 144.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9278, kappa: 0.8206, kb_relative_information_score: 25043.9324, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9285, predictive_accuracy: 0.929, prior_entropy: 0.863, recall: 0.929, relative_absolute_error: 0.275, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.5107, scimark_benchmark: 1825.7178, usercpu_time_millis: 1352.26, usercpu_time_millis_testing: 3.665, usercpu_time_millis_training: 1348.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.8825, kappa: 0.7124, kb_relative_information_score: 18819.753, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8826, predictive_accuracy: 0.8823, prior_entropy: 0.863, recall: 0.8823, relative_absolute_error: 0.4653, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2868, root_relative_squared_error: 0.6349, scimark_benchmark: 1853.9121, usercpu_time_millis: 1398.957, usercpu_time_millis_testing: 8.186, usercpu_time_millis_training: 1390.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9113, kappa: 0.7799, kb_relative_information_score: 22488.4566, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9115, predictive_accuracy: 0.9125, prior_entropy: 0.863, recall: 0.9125, relative_absolute_error: 0.3687, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5501, scimark_benchmark: 1800.9866, usercpu_time_millis: 1233.345, usercpu_time_millis_testing: 8.466, usercpu_time_millis_training: 1224.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9162, kappa: 0.7892, kb_relative_information_score: 24164.2686, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9215, predictive_accuracy: 0.9192, prior_entropy: 0.863, recall: 0.9192, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.5237, scimark_benchmark: 1834.1671, usercpu_time_millis: 1513.76, usercpu_time_millis_testing: 8.739, usercpu_time_millis_training: 1505.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.867, kappa: 0.6755, kb_relative_information_score: 17106.1166, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8677, predictive_accuracy: 0.8664, prior_entropy: 0.863, recall: 0.8664, relative_absolute_error: 0.5173, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.6834, scimark_benchmark: 1825.7178, usercpu_time_millis: 556.727, usercpu_time_millis_testing: 8.543, usercpu_time_millis_training: 548.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9261, kappa: 0.8152, kb_relative_information_score: 24949.3627, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9284, predictive_accuracy: 0.9279, prior_entropy: 0.863, recall: 0.9279, relative_absolute_error: 0.2818, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.508, scimark_benchmark: 1856.0123, usercpu_time_millis: 574.124, usercpu_time_millis_testing: 2.733, usercpu_time_millis_training: 571.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9517, kappa: 0.8815, kb_relative_information_score: 27783.319, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9516, predictive_accuracy: 0.9517, prior_entropy: 0.863, recall: 0.9517, relative_absolute_error: 0.2019, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.4249, scimark_benchmark: 1850.2875, usercpu_time_millis: 878.431, usercpu_time_millis_testing: 2.413, usercpu_time_millis_training: 876.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9104, kappa: 0.7776, kb_relative_information_score: 22669.0955, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9106, predictive_accuracy: 0.9117, prior_entropy: 0.863, recall: 0.9117, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.5567, scimark_benchmark: 1726.5817, usercpu_time_millis: 868.43, usercpu_time_millis_testing: 7.222, usercpu_time_millis_training: 861.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9411, kappa: 0.8546, kb_relative_information_score: 26335.7348, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.941, predictive_accuracy: 0.9415, prior_entropy: 0.863, recall: 0.9415, relative_absolute_error: 0.2432, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4671, scimark_benchmark: 1843.1261, usercpu_time_millis: 822.787, usercpu_time_millis_testing: 3.269, usercpu_time_millis_training: 819.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9473, kappa: 0.8702, kb_relative_information_score: 26462.2138, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9473, predictive_accuracy: 0.9476, prior_entropy: 0.863, recall: 0.9476, relative_absolute_error: 0.2467, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.4468, scimark_benchmark: 1832.0698, usercpu_time_millis: 536.939, usercpu_time_millis_testing: 9.704, usercpu_time_millis_training: 527.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.8698, kappa: 0.6826, kb_relative_information_score: 17423.6277, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8706, predictive_accuracy: 0.8692, prior_entropy: 0.863, recall: 0.8692, relative_absolute_error: 0.5094, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.671, scimark_benchmark: 1853.3841, usercpu_time_millis: 778.176, usercpu_time_millis_testing: 8.361, usercpu_time_millis_training: 769.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.8599, kappa: 0.663, kb_relative_information_score: 17284.6515, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8641, predictive_accuracy: 0.8578, prior_entropy: 0.863, recall: 0.8578, relative_absolute_error: 0.503, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.313, root_relative_squared_error: 0.6929, scimark_benchmark: 1854.568, usercpu_time_millis: 578.153, usercpu_time_millis_testing: 3.287, usercpu_time_millis_training: 574.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9148, kappa: 0.7859, kb_relative_information_score: 24007.8089, mean_absolute_error: 0.1283, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9193, predictive_accuracy: 0.9177, prior_entropy: 0.863, recall: 0.9177, relative_absolute_error: 0.3144, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.5295, scimark_benchmark: 1824.8044, usercpu_time_millis: 834.594, usercpu_time_millis_testing: 5.567, usercpu_time_millis_training: 829.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9102, kappa: 0.7769, kb_relative_information_score: 21783.0728, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9105, predictive_accuracy: 0.9116, prior_entropy: 0.863, recall: 0.9116, relative_absolute_error: 0.3924, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2565, root_relative_squared_error: 0.5679, scimark_benchmark: 1847.8791, usercpu_time_millis: 721.72, usercpu_time_millis_testing: 9.186, usercpu_time_millis_training: 712.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9296, kappa: 0.8244, kb_relative_information_score: 25062.5867, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9314, predictive_accuracy: 0.9311, prior_entropy: 0.863, recall: 0.9311, relative_absolute_error: 0.2818, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.5013, scimark_benchmark: 1807.998, usercpu_time_millis: 931.399, usercpu_time_millis_testing: 9.414, usercpu_time_millis_training: 921.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9138, kappa: 0.7859, kb_relative_information_score: 22741.2274, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9141, predictive_accuracy: 0.9151, prior_entropy: 0.863, recall: 0.9151, relative_absolute_error: 0.362, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.5421, scimark_benchmark: 1812.2788, usercpu_time_millis: 1006.128, usercpu_time_millis_testing: 11.293, usercpu_time_millis_training: 994.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9172, kappa: 0.7918, kb_relative_information_score: 24346.1959, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9222, predictive_accuracy: 0.9201, prior_entropy: 0.863, recall: 0.9201, relative_absolute_error: 0.3063, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.234, root_relative_squared_error: 0.518, scimark_benchmark: 1849.8294, usercpu_time_millis: 1003.42, usercpu_time_millis_testing: 6.22, usercpu_time_millis_training: 997.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9146, kappa: 0.785, kb_relative_information_score: 24342.6345, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.92, predictive_accuracy: 0.9177, prior_entropy: 0.863, recall: 0.9177, relative_absolute_error: 0.3002, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.5303, scimark_benchmark: 1850.2875, usercpu_time_millis: 1007.176, usercpu_time_millis_testing: 3.091, usercpu_time_millis_training: 1004.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9305, kappa: 0.8268, kb_relative_information_score: 24978.517, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9319, predictive_accuracy: 0.9318, prior_entropy: 0.863, recall: 0.9318, relative_absolute_error: 0.2876, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.4988, scimark_benchmark: 1852.3877, usercpu_time_millis: 1000.331, usercpu_time_millis_testing: 11.09, usercpu_time_millis_training: 989.241,

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