OpenML
Supervised Classification on ozone-level-8hr

Supervised Classification on ozone-level-8hr

Task 145855 Supervised Classification ozone-level-8hr 90654 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.9211, kappa: 0.1838, kb_relative_information_score: -708.6411, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9333, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7896, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.865, scimark_benchmark: 1250.883, usercpu_time_millis: 105.813, usercpu_time_millis_testing: 4.154, usercpu_time_millis_training: 101.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.9115, kappa: 0.0658, kb_relative_information_score: -743.8265, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9271, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.8708, scimark_benchmark: 1229.8325, usercpu_time_millis: 70.522, usercpu_time_millis_testing: 6.116, usercpu_time_millis_training: 64.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.9063, kb_relative_information_score: -1177.2, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.9378, scimark_benchmark: 1231.1856, usercpu_time_millis: 33.436, usercpu_time_millis_testing: 2.528, usercpu_time_millis_training: 30.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.9286, kappa: 0.28, kb_relative_information_score: -549.0292, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9342, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.758, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.841, scimark_benchmark: 1224.969, usercpu_time_millis: 186.586, usercpu_time_millis_testing: 8.531, usercpu_time_millis_training: 178.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.9232, kappa: 0.2102, kb_relative_information_score: -564.2496, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.934, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7742, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.8476, scimark_benchmark: 1241.1867, usercpu_time_millis: 124.568, usercpu_time_millis_testing: 9.167, usercpu_time_millis_training: 115.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.9063, kb_relative_information_score: -1190.9695, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.933, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.9531, scimark_benchmark: 1257.1935, usercpu_time_millis: 8.639, usercpu_time_millis_testing: 0.755, usercpu_time_millis_training: 7.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.9149, kappa: 0.1071, kb_relative_information_score: -614.867, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9297, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.7976, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.8626, scimark_benchmark: 1258.2013, usercpu_time_millis: 70.453, usercpu_time_millis_testing: 6.68, usercpu_time_millis_training: 63.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -849.8535, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9412, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8451, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.8859, scimark_benchmark: 1257.4445, usercpu_time_millis: 4.456, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 4.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.9266, kappa: 0.2482, kb_relative_information_score: -621.8815, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.939, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7789, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.8438, scimark_benchmark: 1264.0394, usercpu_time_millis: 108.889, usercpu_time_millis_testing: 4.486, usercpu_time_millis_training: 104.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.9258, kappa: 0.2392, kb_relative_information_score: -678.2894, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9383, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.792, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.8534, scimark_benchmark: 1259.5165, usercpu_time_millis: 106.549, usercpu_time_millis_testing: 4.517, usercpu_time_millis_training: 102.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -794.7988, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9296, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.8262, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.213, root_relative_squared_error: 0.8758, scimark_benchmark: 1259.946, usercpu_time_millis: 52.799, usercpu_time_millis_testing: 4.087, usercpu_time_millis_training: 48.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.9197, kappa: 0.1661, kb_relative_information_score: -695.2027, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9337, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8572, scimark_benchmark: 1239.57, usercpu_time_millis: 34.401, usercpu_time_millis_testing: 1.987, usercpu_time_millis_training: 32.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.9197, kappa: 0.1661, kb_relative_information_score: -627.4483, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9337, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.856, scimark_benchmark: 1255.6108, usercpu_time_millis: 79.04, usercpu_time_millis_testing: 6.193, usercpu_time_millis_training: 72.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.9086, kappa: 0.0317, kb_relative_information_score: -1080.6749, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9102, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8593, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.9059, scimark_benchmark: 1246.8609, usercpu_time_millis: 2.108, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 1.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.9063, kb_relative_information_score: 1.8386, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1256.3636, usercpu_time_millis: 15.684, usercpu_time_millis_testing: 1.857, usercpu_time_millis_training: 13.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.9164, kappa: 0.1263, kb_relative_information_score: -710.4324, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9291, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.8651, scimark_benchmark: 1241.7133, usercpu_time_millis: 104.148, usercpu_time_millis_testing: 4.449, usercpu_time_millis_training: 99.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.9253, kappa: 0.2356, kb_relative_information_score: -598.9147, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9348, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.8505, scimark_benchmark: 1237.3769, usercpu_time_millis: 104.316, usercpu_time_millis_testing: 5.107, usercpu_time_millis_training: 99.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.9063, kb_relative_information_score: -961.5985, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8715, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.9076, scimark_benchmark: 1251.8825, usercpu_time_millis: 7.254, usercpu_time_millis_testing: 0.624, usercpu_time_millis_training: 6.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.9208, kappa: 0.1773, kb_relative_information_score: -640.8472, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7973, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8556, scimark_benchmark: 1239.0094, usercpu_time_millis: 99.554, usercpu_time_millis_testing: 7.586, usercpu_time_millis_training: 91.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.9082, kappa: 0.0232, kb_relative_information_score: -834.279, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9415, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8403, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.8789, scimark_benchmark: 1247.2899, usercpu_time_millis: 31.001, usercpu_time_millis_testing: 2.792, usercpu_time_millis_training: 28.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -803.4247, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.8781, scimark_benchmark: 1261.3429, usercpu_time_millis: 16.014, usercpu_time_millis_testing: 0.948, usercpu_time_millis_training: 15.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.9258, kappa: 0.2392, kb_relative_information_score: -591.9242, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9383, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.8507, scimark_benchmark: 1244.4717, usercpu_time_millis: 105.015, usercpu_time_millis_testing: 5.527, usercpu_time_millis_training: 99.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.9063, kb_relative_information_score: -1203.1442, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9184, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.942, scimark_benchmark: 1237.0132, usercpu_time_millis: 5.05, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 4.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.9166, kappa: 0.1277, kb_relative_information_score: -695.713, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9323, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.8095, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.8626, scimark_benchmark: 1247.8091, usercpu_time_millis: 51.72, usercpu_time_millis_testing: 3.494, usercpu_time_millis_training: 48.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -860.9532, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8352, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.8831, scimark_benchmark: 1250.8582, usercpu_time_millis: 84.728, usercpu_time_millis_testing: 5.328, usercpu_time_millis_training: 79.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -905.9992, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8368, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.216, root_relative_squared_error: 0.8881, scimark_benchmark: 1230.5263, usercpu_time_millis: 80.598, usercpu_time_millis_testing: 4.983, usercpu_time_millis_training: 75.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9186, kappa: 0.1493, kb_relative_information_score: -640.6037, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9378, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.8002, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.8611, scimark_benchmark: 1233.4443, usercpu_time_millis: 20.928, usercpu_time_millis_testing: 1.733, usercpu_time_millis_training: 19.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -919.9346, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.851, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.8932, scimark_benchmark: 1256.6262, usercpu_time_millis: 29.438, usercpu_time_millis_testing: 2.05, usercpu_time_millis_training: 27.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.9219, kappa: 0.1932, kb_relative_information_score: -740.5995, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9342, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7977, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.8663, scimark_benchmark: 1254.9654, usercpu_time_millis: 3.625, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 3.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.9063, kb_relative_information_score: -1019.4535, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9261, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.9448, scimark_benchmark: 1252.3912, usercpu_time_millis: 33.983, usercpu_time_millis_testing: 3.545, usercpu_time_millis_training: 30.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.9169, kappa: 0.1291, kb_relative_information_score: -660.5647, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.936, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.8018, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.8602, scimark_benchmark: 1254.7374, usercpu_time_millis: 32.475, usercpu_time_millis_testing: 2.751, usercpu_time_millis_training: 29.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1033.2374, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8545, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.9036, scimark_benchmark: 1261.7588, usercpu_time_millis: 13.741, usercpu_time_millis_testing: 0.937, usercpu_time_millis_training: 12.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -632.2246, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9347, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7979, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.8565, scimark_benchmark: 1237.2969, usercpu_time_millis: 85.957, usercpu_time_millis_testing: 6.033, usercpu_time_millis_training: 79.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.9189, kappa: 0.1563, kb_relative_information_score: -711.3864, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9327, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.8059, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.8608, scimark_benchmark: 1252.2836, usercpu_time_millis: 15.723, usercpu_time_millis_testing: 1.281, usercpu_time_millis_training: 14.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.9063, kb_relative_information_score: -1180.3103, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9173, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.9419, scimark_benchmark: 1249.6546, usercpu_time_millis: 10.518, usercpu_time_millis_testing: 0.957, usercpu_time_millis_training: 9.561,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.9255, kappa: 0.2374, kb_relative_information_score: -575.1466, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9365, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7723, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.8465, scimark_benchmark: 1249.2332, usercpu_time_millis: 87.891, usercpu_time_millis_testing: 5.551, usercpu_time_millis_training: 82.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.9063, kb_relative_information_score: -1033.018, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8831, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.9172, scimark_benchmark: 1252.706, usercpu_time_millis: 30.301, usercpu_time_millis_testing: 3.004, usercpu_time_millis_training: 27.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.925, kappa: 0.2339, kb_relative_information_score: -615.7136, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9333, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.8516, scimark_benchmark: 1245.5256, usercpu_time_millis: 74.841, usercpu_time_millis_testing: 4.009, usercpu_time_millis_training: 70.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -758.4633, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.932, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.8233, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.8734, scimark_benchmark: 1265.2529, usercpu_time_millis: 47.175, usercpu_time_millis_testing: 3.787, usercpu_time_millis_training: 43.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.9248, kappa: 0.2284, kb_relative_information_score: -650.535, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9357, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7887, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.852, scimark_benchmark: 1264.1052, usercpu_time_millis: 44.96, usercpu_time_millis_testing: 2.329, usercpu_time_millis_training: 42.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -896.793, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.8872, scimark_benchmark: 1250.2702, usercpu_time_millis: 16.641, usercpu_time_millis_testing: 1.341, usercpu_time_millis_training: 15.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -1015.3572, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9412, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8686, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.9052, scimark_benchmark: 1245.9212, usercpu_time_millis: 42.638, usercpu_time_millis_testing: 2.779, usercpu_time_millis_training: 39.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -771.8416, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9292, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.813, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.8695, scimark_benchmark: 1223.4418, usercpu_time_millis: 15.443, usercpu_time_millis_testing: 0.824, usercpu_time_millis_training: 14.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.9227, kappa: 0.2026, kb_relative_information_score: -640.9643, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9351, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7904, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.207, root_relative_squared_error: 0.8511, scimark_benchmark: 1245.4298, usercpu_time_millis: 76.551, usercpu_time_millis_testing: 4.835, usercpu_time_millis_training: 71.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.9166, kappa: 0.1277, kb_relative_information_score: -691.4286, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9323, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.803, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.8614, scimark_benchmark: 1262.7087, usercpu_time_millis: 14.861, usercpu_time_millis_testing: 0.86, usercpu_time_millis_training: 14.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.9149, kappa: 0.1071, kb_relative_information_score: -707.5056, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9297, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.8662, scimark_benchmark: 1265.0602, usercpu_time_millis: 66.664, usercpu_time_millis_testing: 4.414, usercpu_time_millis_training: 62.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.9063, kb_relative_information_score: -822.4795, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8532, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.8938, scimark_benchmark: 1257.0125, usercpu_time_millis: 61.488, usercpu_time_millis_testing: 5.629, usercpu_time_millis_training: 55.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1005.1574, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.9123, scimark_benchmark: 1256.4864, usercpu_time_millis: 14.542, usercpu_time_millis_testing: 1.232, usercpu_time_millis_training: 13.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.9287, kappa: 0.2773, kb_relative_information_score: -572.2068, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9451, prior_entropy: 0.3411, recall: 0.9451, relative_absolute_error: 0.7671, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.205, root_relative_squared_error: 0.843, scimark_benchmark: 1241.2841, usercpu_time_millis: 119.298, usercpu_time_millis_testing: 6.566, usercpu_time_millis_training: 112.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.9166, kappa: 0.1277, kb_relative_information_score: -700.555, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9323, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.8083, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.21, root_relative_squared_error: 0.8633, scimark_benchmark: 1250.9276, usercpu_time_millis: 47.909, usercpu_time_millis_testing: 3.443, usercpu_time_millis_training: 44.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.9133, kappa: 0.0873, kb_relative_information_score: -687.3157, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.931, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8072, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.8657, scimark_benchmark: 1247.6493, usercpu_time_millis: 80.822, usercpu_time_millis_testing: 5.223, usercpu_time_millis_training: 75.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.9287, kappa: 0.2844, kb_relative_information_score: -561.9121, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9328, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.759, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.8414, scimark_benchmark: 1224.9763, usercpu_time_millis: 66.854, usercpu_time_millis_testing: 3.239, usercpu_time_millis_training: 63.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.9127, kappa: 0.0778, kb_relative_information_score: -734.4004, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9354, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.8693, scimark_benchmark: 1254.319, usercpu_time_millis: 81.514, usercpu_time_millis_testing: 4.713, usercpu_time_millis_training: 76.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.9245, kappa: 0.2391, kb_relative_information_score: -932.3672, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9265, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.7988, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.8802, scimark_benchmark: 1252.5747, usercpu_time_millis: 2.793, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 2.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -965.7589, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9096, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8532, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.898, scimark_benchmark: 1244.4223, usercpu_time_millis: 70.804, usercpu_time_millis_testing: 4.657, usercpu_time_millis_training: 66.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -738.6422, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.8711, scimark_benchmark: 1251.8748, usercpu_time_millis: 68.172, usercpu_time_millis_testing: 4.718, usercpu_time_millis_training: 63.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -667.5723, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9335, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.8041, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8577, scimark_benchmark: 1237.3312, usercpu_time_millis: 47.841, usercpu_time_millis_testing: 3.25, usercpu_time_millis_training: 44.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.9181, kappa: 0.1464, kb_relative_information_score: -702.9559, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9316, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.8618, scimark_benchmark: 1231.5556, usercpu_time_millis: 36.451, usercpu_time_millis_testing: 3.07, usercpu_time_millis_training: 33.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -665.1255, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7931, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8541, scimark_benchmark: 1257.9765, usercpu_time_millis: 40.069, usercpu_time_millis_testing: 2.577, usercpu_time_millis_training: 37.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.9133, kappa: 0.0873, kb_relative_information_score: -747.1636, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.931, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8177, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.8689, scimark_benchmark: 1238.7121, usercpu_time_millis: 12.281, usercpu_time_millis_testing: 0.828, usercpu_time_millis_training: 11.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -830.6558, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9412, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8479, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.8833, scimark_benchmark: 1247.6823, usercpu_time_millis: 33.329, usercpu_time_millis_testing: 3.262, usercpu_time_millis_training: 30.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -839.9651, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8349, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.8814, scimark_benchmark: 1264.7248, usercpu_time_millis: 77.802, usercpu_time_millis_testing: 5.557, usercpu_time_millis_training: 72.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.9063, kb_relative_information_score: -623.3694, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9664, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.9737, scimark_benchmark: 1259.4726, usercpu_time_millis: 16.603, usercpu_time_millis_testing: 1.889, usercpu_time_millis_training: 14.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.9063, kb_relative_information_score: -967.472, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8811, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.9142, scimark_benchmark: 1258.2246, usercpu_time_millis: 13.345, usercpu_time_millis_testing: 1.447, usercpu_time_millis_training: 11.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.9106, kappa: 0.0549, kb_relative_information_score: -795.8205, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9245, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.8744, scimark_benchmark: 1250.7702, usercpu_time_millis: 5.719, usercpu_time_millis_testing: 0.454, usercpu_time_millis_training: 5.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.9272, kappa: 0.2602, kb_relative_information_score: -633.5426, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9357, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.779, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.8458, scimark_benchmark: 1215.8543, usercpu_time_millis: 90.26, usercpu_time_millis_testing: 3.826, usercpu_time_millis_training: 86.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -662.9058, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7965, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8526, scimark_benchmark: 1250.6352, usercpu_time_millis: 74.571, usercpu_time_millis_testing: 4.072, usercpu_time_millis_training: 70.499,

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