Task
Supervised Classification on 2dplanes

Supervised Classification on 2dplanes

Task 3593 Supervised Classification 2dplanes 374 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.6561, kappa: 0.3122, kb_relative_information_score: 5983.6589, mean_absolute_error: 0.4382, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.6561, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.8764, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Problem getting URL, status 404: https://www.openml.org/data/v1/download/4643415/Run_1847375_description.xml?api_key=48830dd663e41d5cb689016a072e6ec1
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Problem getting URL, status 404: https://www.openml.org/data/v1/download/4643325/Run_1847330_description.xml?api_key=48830dd663e41d5cb689016a072e6ec1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9306, kappa: 0.8611, kb_relative_information_score: 35105.9745, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9308, predictive_accuracy: 0.9306, prior_entropy: 1, recall: 0.9306, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3343, kb_relative_information_score: 71.8169, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.2509, predictive_accuracy: 0.5009, prior_entropy: 1, recall: 0.5009, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7065, root_relative_squared_error: 1.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9306, kappa: 0.8611, kb_relative_information_score: 35105.9745, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9308, predictive_accuracy: 0.9306, prior_entropy: 1, recall: 0.9306, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3343, kb_relative_information_score: 71.8169, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.2509, predictive_accuracy: 0.5009, prior_entropy: 1, recall: 0.5009, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7065, root_relative_squared_error: 1.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9306, kappa: 0.8611, kb_relative_information_score: 35105.9745, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9308, predictive_accuracy: 0.9306, prior_entropy: 1, recall: 0.9306, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3343, kb_relative_information_score: 71.8169, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.2509, predictive_accuracy: 0.5009, prior_entropy: 1, recall: 0.5009, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7065, root_relative_squared_error: 1.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9306, kappa: 0.8611, kb_relative_information_score: 35105.9745, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9308, predictive_accuracy: 0.9306, prior_entropy: 1, recall: 0.9306, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3343, kb_relative_information_score: 71.8169, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.2509, predictive_accuracy: 0.5009, prior_entropy: 1, recall: 0.5009, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7065, root_relative_squared_error: 1.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.9077, kappa: 0.8155, kb_relative_information_score: 33131.7456, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.908, predictive_accuracy: 0.9077, prior_entropy: 1, recall: 0.9077, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.5803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.7495, kappa: 0.4989, kb_relative_information_score: 20339.9081, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.7495, predictive_accuracy: 0.7495, prior_entropy: 1, recall: 0.7495, relative_absolute_error: 0.5011, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0011, scimark_benchmark: 1697.6783, usercpu_time_millis: 191125, usercpu_time_millis_testing: 53187.5, usercpu_time_millis_training: 137937.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9306, kappa: 0.8613, kb_relative_information_score: 35111.9745, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9308, predictive_accuracy: 0.9306, prior_entropy: 1, recall: 0.9306, relative_absolute_error: 0.1387, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.5268, scimark_benchmark: 1862.8608, usercpu_time_millis: 107687.5, usercpu_time_millis_testing: 35515.625, usercpu_time_millis_training: 72171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.7495, kappa: 0.4989, kb_relative_information_score: 20339.9081, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.7495, predictive_accuracy: 0.7495, prior_entropy: 1, recall: 0.7495, relative_absolute_error: 0.5011, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0011, scimark_benchmark: 1648.7993, usercpu_time_millis: 295040, usercpu_time_millis_testing: 97940, usercpu_time_millis_training: 197100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9306, kappa: 0.8613, kb_relative_information_score: 35111.9745, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9308, predictive_accuracy: 0.9306, prior_entropy: 1, recall: 0.9306, relative_absolute_error: 0.1387, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.5268, scimark_benchmark: 1395.8129, usercpu_time_millis: 133050, usercpu_time_millis_testing: 38480, usercpu_time_millis_training: 94570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.8684, kappa: 0.7392, kb_relative_information_score: 25437.5627, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8828, predictive_accuracy: 0.8696, prior_entropy: 1, recall: 0.8696, relative_absolute_error: 0.4086, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.6512, scimark_benchmark: 1918.4916, usercpu_time_millis: 113640.625, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 113609.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8672, kappa: 0.7362, kb_relative_information_score: 28880.3597, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8782, predictive_accuracy: 0.8681, prior_entropy: 1, recall: 0.8681, relative_absolute_error: 0.2984, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.346, root_relative_squared_error: 0.6921, scimark_benchmark: 1918.4916, usercpu_time_millis: 115359.375, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 115328.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.8352, kappa: 0.6705, kb_relative_information_score: 27333.9395, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8353, predictive_accuracy: 0.8352, prior_entropy: 1, recall: 0.8352, relative_absolute_error: 0.3295, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8118, scimark_benchmark: 1827.4462, usercpu_time_millis: 148781.25, usercpu_time_millis_testing: 63406.25, usercpu_time_millis_training: 85375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.8356, kappa: 0.6712, kb_relative_information_score: 27361.9397, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8356, predictive_accuracy: 0.8356, prior_entropy: 1, recall: 0.8356, relative_absolute_error: 0.3288, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.811, scimark_benchmark: 1827.4462, usercpu_time_millis: 147921.875, usercpu_time_millis_testing: 39046.875, usercpu_time_millis_training: 108875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.93, kappa: 0.86, kb_relative_information_score: 33354.8526, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9301, predictive_accuracy: 0.93, prior_entropy: 1, recall: 0.93, relative_absolute_error: 0.1948, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.4437, scimark_benchmark: 1421.7217, usercpu_time_millis: 44360, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 44280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8672, kappa: 0.7362, kb_relative_information_score: 28880.3597, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8782, predictive_accuracy: 0.8681, prior_entropy: 1, recall: 0.8681, relative_absolute_error: 0.2984, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.346, root_relative_squared_error: 0.6921, scimark_benchmark: 1871.4229, usercpu_time_millis: 11546.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 11531.25,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.6561, kappa: 0.3122, kb_relative_information_score: 5983.6589, mean_absolute_error: 0.4382, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.6561, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.8764, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9244, scimark_benchmark: 1227.8182, usercpu_time_millis: 740, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.6561, kappa: 0.3122, kb_relative_information_score: 5983.6589, mean_absolute_error: 0.4382, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.6561, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.8764, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9244, scimark_benchmark: 1304.3695, usercpu_time_millis: 760, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.8355, kappa: 0.671, kb_relative_information_score: 27355.9396, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8355, predictive_accuracy: 0.8355, prior_entropy: 1, recall: 0.8355, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8112, scimark_benchmark: 1618.1738, usercpu_time_millis: 190546.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 190515.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.8343, kappa: 0.6687, kb_relative_information_score: 27259.9392, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8348, predictive_accuracy: 0.8343, prior_entropy: 1, recall: 0.8343, relative_absolute_error: 0.3313, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8141, scimark_benchmark: 1618.1738, usercpu_time_millis: 2953.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 2937.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.8684, kappa: 0.7391, kb_relative_information_score: 25427.6328, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8826, predictive_accuracy: 0.8695, prior_entropy: 1, recall: 0.8695, relative_absolute_error: 0.4089, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.6512, scimark_benchmark: 1744.8652, usercpu_time_millis: 10921.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 10890.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8373, kappa: 0.6746, kb_relative_information_score: 23044.7672, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8373, predictive_accuracy: 0.8373, prior_entropy: 1, recall: 0.8373, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6805, scimark_benchmark: 1744.8652, usercpu_time_millis: 1109.375, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 1062.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9153, kappa: 0.8306, kb_relative_information_score: 32577.7798, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9155, predictive_accuracy: 0.9153, prior_entropy: 1, recall: 0.9153, relative_absolute_error: 0.2079, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2672, root_relative_squared_error: 0.5345, scimark_benchmark: 1744.8652, usercpu_time_millis: 112375, usercpu_time_millis_testing: 112140.625, usercpu_time_millis_training: 234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.8509, kappa: 0.7018, kb_relative_information_score: 24006.419, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8509, predictive_accuracy: 0.8509, prior_entropy: 1, recall: 0.8509, relative_absolute_error: 0.4366, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.6608, scimark_benchmark: 1744.8652, usercpu_time_millis: 10187.5, usercpu_time_millis_testing: 109.375, usercpu_time_millis_training: 10078.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.9305, kappa: 0.8611, kb_relative_information_score: 32121.6236, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9314, predictive_accuracy: 0.9306, prior_entropy: 1, recall: 0.9306, relative_absolute_error: 0.236, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2454, root_relative_squared_error: 0.4909, scimark_benchmark: 1744.8652, usercpu_time_millis: 3500, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 3484.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9311, kappa: 0.8621, kb_relative_information_score: 33646.2637, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9311, predictive_accuracy: 0.9311, prior_entropy: 1, recall: 0.9311, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.4442, scimark_benchmark: 1744.8652, usercpu_time_millis: 500, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 484.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9202, kappa: 0.8404, kb_relative_information_score: 33308.1804, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9202, predictive_accuracy: 0.9202, prior_entropy: 1, recall: 0.9202, relative_absolute_error: 0.1886, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.4842, scimark_benchmark: 1744.8652, usercpu_time_millis: 15984.375, usercpu_time_millis_testing: 2359.375, usercpu_time_millis_training: 13625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9299, kappa: 0.8598, kb_relative_information_score: 33494.7734, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9301, predictive_accuracy: 0.9299, prior_entropy: 1, recall: 0.9299, relative_absolute_error: 0.189, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.4434, scimark_benchmark: 1744.8652, usercpu_time_millis: 875, usercpu_time_millis_testing: 93.75, usercpu_time_millis_training: 781.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9305, kappa: 0.8609, kb_relative_information_score: 33561.0471, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9305, predictive_accuracy: 0.9305, prior_entropy: 1, recall: 0.9305, relative_absolute_error: 0.189, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.4494, scimark_benchmark: 1744.8652, usercpu_time_millis: 4375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 4359.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.6561, kappa: 0.3122, kb_relative_information_score: 5983.6589, mean_absolute_error: 0.4382, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.6561, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.8764, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9244, scimark_benchmark: 1744.8652, usercpu_time_millis: 531.25, usercpu_time_millis_testing: 156.25, usercpu_time_millis_training: 375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.8355, kappa: 0.671, kb_relative_information_score: 27355.9396, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8355, predictive_accuracy: 0.8355, prior_entropy: 1, recall: 0.8355, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8112, scimark_benchmark: 1744.8652, usercpu_time_millis: 304765.625, usercpu_time_millis_testing: 78.125, usercpu_time_millis_training: 304687.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9193, kappa: 0.8387, kb_relative_information_score: 32308.3614, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9195, predictive_accuracy: 0.9193, prior_entropy: 1, recall: 0.9193, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.4724, scimark_benchmark: 1838.8826, usercpu_time_millis: 1060.8068, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 1045.2067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9304, kappa: 0.8608, kb_relative_information_score: 33557.6591, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9304, predictive_accuracy: 0.9304, prior_entropy: 1, recall: 0.9304, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.4496, scimark_benchmark: 1838.8826, usercpu_time_millis: 2106.0135, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 2090.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9188, kappa: 0.8376, kb_relative_information_score: 32557.2346, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9188, predictive_accuracy: 0.9188, prior_entropy: 1, recall: 0.9188, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.4679, scimark_benchmark: 1838.8826, usercpu_time_millis: 9547.2612, usercpu_time_millis_testing: 1294.8083, usercpu_time_millis_training: 8252.4529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9201, kappa: 0.8401, kb_relative_information_score: 33312.3311, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9201, predictive_accuracy: 0.9201, prior_entropy: 1, recall: 0.9201, relative_absolute_error: 0.1886, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.242, root_relative_squared_error: 0.4841, scimark_benchmark: 1838.8826, usercpu_time_millis: 11232.072, usercpu_time_millis_testing: 1294.8083, usercpu_time_millis_training: 9937.2637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9191, kappa: 0.8383, kb_relative_information_score: 32554.4709, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9191, predictive_accuracy: 0.9191, prior_entropy: 1, recall: 0.9191, relative_absolute_error: 0.2116, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.4678, scimark_benchmark: 1838.8826, usercpu_time_millis: 77860.0991, usercpu_time_millis_testing: 77594.8974, usercpu_time_millis_training: 265.2017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9153, kappa: 0.8306, kb_relative_information_score: 32577.7798, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9155, predictive_accuracy: 0.9153, prior_entropy: 1, recall: 0.9153, relative_absolute_error: 0.2079, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2672, root_relative_squared_error: 0.5345, scimark_benchmark: 1838.8826, usercpu_time_millis: 92336.9919, usercpu_time_millis_testing: 92336.9919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7143, f_measure: 0.6519, kappa: 0.3037, kb_relative_information_score: 5736.842, mean_absolute_error: 0.4409, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.6519, predictive_accuracy: 0.6519, prior_entropy: 1, recall: 0.6519, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.464, root_relative_squared_error: 0.9281, scimark_benchmark: 1838.8826, usercpu_time_millis: 374.4024, usercpu_time_millis_testing: 93.6006, usercpu_time_millis_training: 280.8018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.6561, kappa: 0.3122, kb_relative_information_score: 5983.6589, mean_absolute_error: 0.4382, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.6561, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.8764, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9244, scimark_benchmark: 1838.8826, usercpu_time_millis: 187.2012, usercpu_time_millis_testing: 124.8008, usercpu_time_millis_training: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3343, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.2509, predictive_accuracy: 0.5009, prior_entropy: 1, recall: 0.5009, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1838.8826, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.9314, kappa: 0.8627, kb_relative_information_score: 35171.9748, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9314, predictive_accuracy: 0.9314, prior_entropy: 1, recall: 0.9314, relative_absolute_error: 0.1373, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.262, root_relative_squared_error: 0.524, usercpu_time_millis: 15749.84, usercpu_time_millis_testing: 4688.897, usercpu_time_millis_training: 11060.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.9198, kappa: 0.8395, kb_relative_information_score: 34225.9706, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9198, predictive_accuracy: 0.9198, prior_entropy: 1, recall: 0.9198, relative_absolute_error: 0.1605, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2833, root_relative_squared_error: 0.5665, usercpu_time_millis: 6008.746, usercpu_time_millis_testing: 1792.955, usercpu_time_millis_training: 4215.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.8965, kappa: 0.7931, kb_relative_information_score: 32331.962, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8965, predictive_accuracy: 0.8965, prior_entropy: 1, recall: 0.8965, relative_absolute_error: 0.2069, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.6433, usercpu_time_millis: 115.718, usercpu_time_millis_testing: 1.281, usercpu_time_millis_training: 114.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.9314, kappa: 0.8627, kb_relative_information_score: 35171.9748, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9314, predictive_accuracy: 0.9314, prior_entropy: 1, recall: 0.9314, relative_absolute_error: 0.1373, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.262, root_relative_squared_error: 0.524, usercpu_time_millis: 7.695, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 7.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.9304, kappa: 0.8609, kb_relative_information_score: 35095.9745, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9304, predictive_accuracy: 0.9304, prior_entropy: 1, recall: 0.9304, relative_absolute_error: 0.1391, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.5275, usercpu_time_millis: 537.477, usercpu_time_millis_testing: 12.73, usercpu_time_millis_training: 524.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.8332, kappa: 0.6664, kb_relative_information_score: 27167.9388, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8332, predictive_accuracy: 0.8332, prior_entropy: 1, recall: 0.8332, relative_absolute_error: 0.3336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8168, usercpu_time_millis: 10.468, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 10.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.8333, kappa: 0.6667, kb_relative_information_score: 27179.9389, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8334, predictive_accuracy: 0.8334, prior_entropy: 1, recall: 0.8334, relative_absolute_error: 0.3333, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8165, usercpu_time_millis: 6.094, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 5.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.8655, kappa: 0.732, kb_relative_information_score: 29845.9508, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8714, predictive_accuracy: 0.866, prior_entropy: 1, recall: 0.866, relative_absolute_error: 0.2679, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.366, root_relative_squared_error: 0.732, usercpu_time_millis: 10.667, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 10.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.929, kappa: 0.858, kb_relative_information_score: 34977.9739, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.929, predictive_accuracy: 0.929, prior_entropy: 1, recall: 0.929, relative_absolute_error: 0.142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.533, usercpu_time_millis: 2.098, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 2.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.9208, kappa: 0.8416, kb_relative_information_score: 34311.9709, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9208, predictive_accuracy: 0.9208, prior_entropy: 1, recall: 0.9208, relative_absolute_error: 0.1584, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.5628, usercpu_time_millis: 117.317, usercpu_time_millis_testing: 1.033, usercpu_time_millis_training: 116.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8967, kappa: 0.7935, kb_relative_information_score: 32347.9621, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8968, predictive_accuracy: 0.8967, prior_entropy: 1, recall: 0.8967, relative_absolute_error: 0.2065, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.6427, usercpu_time_millis: 262.152, usercpu_time_millis_testing: 2.14, usercpu_time_millis_training: 260.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.9317, kappa: 0.8634, kb_relative_information_score: 35197.9749, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9317, predictive_accuracy: 0.9317, prior_entropy: 1, recall: 0.9317, relative_absolute_error: 0.1366, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2614, root_relative_squared_error: 0.5227, usercpu_time_millis: 246.653, usercpu_time_millis_testing: 8.483, usercpu_time_millis_training: 238.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8798, kappa: 0.7598, kb_relative_information_score: 30975.9559, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8808, predictive_accuracy: 0.8799, prior_entropy: 1, recall: 0.8799, relative_absolute_error: 0.2402, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.6931, usercpu_time_millis: 1781.195, usercpu_time_millis_testing: 0.217, usercpu_time_millis_training: 1780.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.9316, kappa: 0.8632, kb_relative_information_score: 35189.9749, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9316, predictive_accuracy: 0.9316, prior_entropy: 1, recall: 0.9316, relative_absolute_error: 0.1368, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.5231, usercpu_time_millis: 358.342, usercpu_time_millis_testing: 2.776, usercpu_time_millis_training: 355.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8967, kappa: 0.7935, kb_relative_information_score: 32347.9621, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8968, predictive_accuracy: 0.8967, prior_entropy: 1, recall: 0.8967, relative_absolute_error: 0.2065, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.6427, usercpu_time_millis: 4.451, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 4.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.8379, kappa: 0.6759, kb_relative_information_score: 27553.9405, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8379, predictive_accuracy: 0.8379, prior_entropy: 1, recall: 0.8379, relative_absolute_error: 0.3241, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8051, usercpu_time_millis: 7.834, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 7.77,

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