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: 0.9005, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -889.6082, mean_absolute_error: 0.1006, 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: 0.8483, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.8908, scimark_benchmark: 1280.5162, usercpu_time_millis: 67.268, usercpu_time_millis_testing: 5.16, usercpu_time_millis_training: 62.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -853.3176, 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: 0.8362, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.8849, scimark_benchmark: 1255.8425, usercpu_time_millis: 57.057, usercpu_time_millis_testing: 3.887, usercpu_time_millis_training: 53.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.9214, kappa: 0.1854, kb_relative_information_score: -683.1729, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9356, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.8034, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8578, scimark_benchmark: 1253.6475, usercpu_time_millis: 26.354, usercpu_time_millis_testing: 1.826, usercpu_time_millis_training: 24.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -795.4454, mean_absolute_error: 0.1001, 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: 0.8443, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.8827, scimark_benchmark: 1277.5029, usercpu_time_millis: 18.073, usercpu_time_millis_testing: 1.675, usercpu_time_millis_training: 16.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.9063, kb_relative_information_score: -1131.7104, mean_absolute_error: 0.1079, 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: 0.9099, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.9359, scimark_benchmark: 1267.3759, usercpu_time_millis: 40.737, usercpu_time_millis_testing: 3.205, usercpu_time_millis_training: 37.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, f_measure: 0.9063, kb_relative_information_score: -954.2381, mean_absolute_error: 0.1124, 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: 0.9472, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.9603, scimark_benchmark: 1274.9948, usercpu_time_millis: 4.237, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 3.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.9063, kb_relative_information_score: 3.3052, 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: 0.9976, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1275.9384, usercpu_time_millis: 22.652, usercpu_time_millis_testing: 2.417, usercpu_time_millis_training: 20.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.916, kappa: 0.1188, kb_relative_information_score: -651.232, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9349, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.8009, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.862, scimark_benchmark: 1278.4315, usercpu_time_millis: 18.083, usercpu_time_millis_testing: 1.607, usercpu_time_millis_training: 16.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.9245, kappa: 0.2228, kb_relative_information_score: -656.3037, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9387, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.207, root_relative_squared_error: 0.8512, scimark_benchmark: 1260.8492, usercpu_time_millis: 10.517, usercpu_time_millis_testing: 0.589, usercpu_time_millis_training: 9.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.9082, kappa: 0.0232, kb_relative_information_score: -819.1922, mean_absolute_error: 0.1003, 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: 0.8457, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.8854, scimark_benchmark: 1270.8457, usercpu_time_millis: 9.426, usercpu_time_millis_testing: 0.888, usercpu_time_millis_training: 8.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.9063, kb_relative_information_score: -1114.2131, mean_absolute_error: 0.1046, 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: 0.8815, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.9174, scimark_benchmark: 1254.1945, usercpu_time_millis: 73.69, usercpu_time_millis_testing: 3.084, usercpu_time_millis_training: 70.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.9232, kappa: 0.2102, kb_relative_information_score: -665.4908, mean_absolute_error: 0.0934, 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: 0.7878, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.8602, scimark_benchmark: 1253.8946, usercpu_time_millis: 159.543, usercpu_time_millis_testing: 6.635, usercpu_time_millis_training: 152.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -769.1989, mean_absolute_error: 0.0995, 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: 0.8388, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.8842, scimark_benchmark: 1285.6709, usercpu_time_millis: 57.508, usercpu_time_millis_testing: 5.322, usercpu_time_millis_training: 52.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1043.3881, mean_absolute_error: 0.1027, 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: 0.8659, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.9067, scimark_benchmark: 1285.1608, usercpu_time_millis: 59.539, usercpu_time_millis_testing: 2.832, usercpu_time_millis_training: 56.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.9063, kb_relative_information_score: -1365.4158, mean_absolute_error: 0.1094, 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: 0.922, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.9478, scimark_benchmark: 1250.6301, usercpu_time_millis: 52.17, usercpu_time_millis_testing: 3.228, usercpu_time_millis_training: 48.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -939.5543, mean_absolute_error: 0.1015, 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: 0.8555, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.8948, scimark_benchmark: 1258.6364, usercpu_time_millis: 43.655, usercpu_time_millis_testing: 3.089, usercpu_time_millis_training: 40.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.9211, kappa: 0.1838, kb_relative_information_score: -605.2214, mean_absolute_error: 0.0934, 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: 0.7875, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.8532, scimark_benchmark: 1234.1628, usercpu_time_millis: 89.387, usercpu_time_millis_testing: 7.273, usercpu_time_millis_training: 82.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.9286, kappa: 0.28, kb_relative_information_score: -549.7141, mean_absolute_error: 0.0896, 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: 0.7552, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.8419, scimark_benchmark: 1257.7475, usercpu_time_millis: 94.808, usercpu_time_millis_testing: 5.15, usercpu_time_millis_training: 89.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -919.3697, mean_absolute_error: 0.0988, 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: 0.8331, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.216, root_relative_squared_error: 0.8879, scimark_benchmark: 1269.1034, usercpu_time_millis: 32.178, usercpu_time_millis_testing: 1.483, usercpu_time_millis_training: 30.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -749.7149, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9345, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.8146, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.8647, scimark_benchmark: 1270.1116, usercpu_time_millis: 32.09, usercpu_time_millis_testing: 1.898, usercpu_time_millis_training: 30.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -798.286, mean_absolute_error: 0.0987, 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: 0.8318, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.8744, scimark_benchmark: 1281.5156, usercpu_time_millis: 29.76, usercpu_time_millis_testing: 2.191, usercpu_time_millis_training: 27.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.9271, kappa: 0.2632, kb_relative_information_score: -596.5067, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9326, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7661, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.8497, scimark_benchmark: 1287.2754, usercpu_time_millis: 116.881, usercpu_time_millis_testing: 5.499, usercpu_time_millis_training: 111.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.9063, kb_relative_information_score: 4.653, mean_absolute_error: 0.1182, 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: 0.9966, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1259.7331, usercpu_time_millis: 17.483, usercpu_time_millis_testing: 2.085, usercpu_time_millis_training: 15.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -908.4829, mean_absolute_error: 0.0996, 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: 0.8401, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.8858, scimark_benchmark: 1287.5854, usercpu_time_millis: 73.337, usercpu_time_millis_testing: 4.317, usercpu_time_millis_training: 69.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.9063, kb_relative_information_score: -1018.631, mean_absolute_error: 0.1102, 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: 0.9289, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.9475, scimark_benchmark: 1273.1391, usercpu_time_millis: 7.677, usercpu_time_millis_testing: 0.686, usercpu_time_millis_training: 6.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.9268, kappa: 0.2533, kb_relative_information_score: -642.2515, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9364, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7843, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.8477, scimark_benchmark: 1270.4888, usercpu_time_millis: 104.253, usercpu_time_millis_testing: 4.839, usercpu_time_millis_training: 99.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.9063, kb_relative_information_score: -1142.3934, mean_absolute_error: 0.1111, 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: 0.9367, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.9534, scimark_benchmark: 1260.7855, usercpu_time_millis: 3.556, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 3.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.9191, kappa: 0.1578, kb_relative_information_score: -655.0694, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9355, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7901, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.209, root_relative_squared_error: 0.8594, scimark_benchmark: 1250.3924, usercpu_time_millis: 47.333, usercpu_time_millis_testing: 3.701, usercpu_time_millis_training: 43.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.9142, kappa: 0.0979, kb_relative_information_score: -684.1085, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9324, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.8066, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.8654, scimark_benchmark: 1266.3568, usercpu_time_millis: 75.582, usercpu_time_millis_testing: 6.99, usercpu_time_millis_training: 68.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -786.9502, mean_absolute_error: 0.0982, 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: 0.8283, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.8749, scimark_benchmark: 1261.1393, usercpu_time_millis: 71.824, usercpu_time_millis_testing: 5.25, usercpu_time_millis_training: 66.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.9063, kb_relative_information_score: -1060.3433, 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: 0.8826, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.9141, scimark_benchmark: 1274.3143, usercpu_time_millis: 44.698, usercpu_time_millis_testing: 3.456, usercpu_time_millis_training: 41.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -914.3205, mean_absolute_error: 0.1006, 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: 0.8478, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.215, root_relative_squared_error: 0.884, scimark_benchmark: 1292.1381, usercpu_time_millis: 3.45, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 3.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.9166, kappa: 0.1277, kb_relative_information_score: -717.6176, mean_absolute_error: 0.0967, 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: 0.8152, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.862, scimark_benchmark: 1271.8892, usercpu_time_millis: 45.568, usercpu_time_millis_testing: 3.758, usercpu_time_millis_training: 41.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.9063, kb_relative_information_score: -1104.7407, mean_absolute_error: 0.106, 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: 0.8936, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.9243, scimark_benchmark: 1255.639, usercpu_time_millis: 45.44, usercpu_time_millis_testing: 3.544, usercpu_time_millis_training: 41.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.9101, kappa: 0.0458, kb_relative_information_score: -748.519, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9422, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.8316, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.874, scimark_benchmark: 1289.8097, usercpu_time_millis: 42.658, usercpu_time_millis_testing: 3.797, usercpu_time_millis_training: 38.861,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.9142, kappa: 0.0979, kb_relative_information_score: -749.3335, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9324, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.823, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.8694, scimark_benchmark: 1260.9522, usercpu_time_millis: 62.864, usercpu_time_millis_testing: 4.549, usercpu_time_millis_training: 58.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -724.2131, mean_absolute_error: 0.097, 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: 0.8175, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.8668, scimark_benchmark: 1262.5545, usercpu_time_millis: 60.809, usercpu_time_millis_testing: 4.641, usercpu_time_millis_training: 56.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -805.0542, mean_absolute_error: 0.098, 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: 0.826, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.8743, scimark_benchmark: 1253.3573, usercpu_time_millis: 62.088, usercpu_time_millis_testing: 3.962, usercpu_time_millis_training: 58.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -809.9452, mean_absolute_error: 0.0965, 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: 0.8138, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.8764, scimark_benchmark: 1285.4508, usercpu_time_millis: 102.941, usercpu_time_millis_testing: 5.944, usercpu_time_millis_training: 96.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.9169, kappa: 0.1291, kb_relative_information_score: -774.1885, mean_absolute_error: 0.0975, 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: 0.8218, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.8642, scimark_benchmark: 1278.5454, usercpu_time_millis: 50.448, usercpu_time_millis_testing: 3.064, usercpu_time_millis_training: 47.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -926.2879, mean_absolute_error: 0.1017, 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: 0.8574, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.8997, scimark_benchmark: 1280.6792, usercpu_time_millis: 35.72, usercpu_time_millis_testing: 3.288, usercpu_time_millis_training: 32.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.9063, kb_relative_information_score: -1196.8186, mean_absolute_error: 0.1075, 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: 0.9066, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.9348, scimark_benchmark: 1287.0298, usercpu_time_millis: 30.613, usercpu_time_millis_testing: 2.195, usercpu_time_millis_training: 28.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.9245, kappa: 0.2228, kb_relative_information_score: -651.9694, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9387, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7896, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.8499, scimark_benchmark: 1257.8165, usercpu_time_millis: 23.298, usercpu_time_millis_testing: 1.431, usercpu_time_millis_training: 21.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.9197, kappa: 0.1661, kb_relative_information_score: -690.7958, mean_absolute_error: 0.0946, 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: 0.7977, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.8567, scimark_benchmark: 1262.0336, usercpu_time_millis: 18.226, usercpu_time_millis_testing: 1.099, usercpu_time_millis_training: 17.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.9063, kb_relative_information_score: -1079.8594, mean_absolute_error: 0.1051, 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: 0.8862, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.224, root_relative_squared_error: 0.9209, scimark_benchmark: 1279.8001, usercpu_time_millis: 9.112, usercpu_time_millis_testing: 0.738, usercpu_time_millis_training: 8.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.9263, kappa: 0.2463, kb_relative_information_score: -562.0666, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7702, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.845, scimark_benchmark: 1281.7658, usercpu_time_millis: 151.205, usercpu_time_millis_testing: 10.957, usercpu_time_millis_training: 140.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -1010.3273, mean_absolute_error: 0.1037, 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: 0.8744, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.9076, scimark_benchmark: 1273.5582, usercpu_time_millis: 51.411, usercpu_time_millis_testing: 4.549, usercpu_time_millis_training: 46.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.9063, kb_relative_information_score: -836.4658, mean_absolute_error: 0.1024, 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: 0.8635, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.8986, scimark_benchmark: 1285.0499, usercpu_time_millis: 47.172, usercpu_time_millis_testing: 5.468, usercpu_time_millis_training: 41.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -786.0916, mean_absolute_error: 0.0992, 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: 0.8367, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.213, root_relative_squared_error: 0.8759, scimark_benchmark: 1268.1798, usercpu_time_millis: 44.994, usercpu_time_millis_testing: 4.097, usercpu_time_millis_training: 40.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -891.293, mean_absolute_error: 0.0989, 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: 0.8342, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.215, root_relative_squared_error: 0.8839, scimark_benchmark: 1272.3837, usercpu_time_millis: 96.537, usercpu_time_millis_testing: 4.089, usercpu_time_millis_training: 92.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -664.2086, mean_absolute_error: 0.0939, 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: 0.792, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.86, scimark_benchmark: 1256.4103, usercpu_time_millis: 23.885, usercpu_time_millis_testing: 1.764, usercpu_time_millis_training: 22.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.9063, kb_relative_information_score: 4.7328, mean_absolute_error: 0.1182, 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: 0.9962, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1278.9378, usercpu_time_millis: 11.12, usercpu_time_millis_testing: 1.352, usercpu_time_millis_training: 9.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -811.6181, mean_absolute_error: 0.0982, 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: 0.8281, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.877, scimark_benchmark: 1263.7741, usercpu_time_millis: 9.427, usercpu_time_millis_testing: 0.628, usercpu_time_millis_training: 8.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -755.2334, mean_absolute_error: 0.0976, 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: 0.823, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.8769, scimark_benchmark: 1278.9982, usercpu_time_millis: 6.685, usercpu_time_millis_testing: 0.56, usercpu_time_millis_training: 6.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.9115, kappa: 0.0658, kb_relative_information_score: -651.0608, mean_absolute_error: 0.0963, 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: 0.8116, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.8673, scimark_benchmark: 1276.0958, usercpu_time_millis: 98.178, usercpu_time_millis_testing: 9.106, usercpu_time_millis_training: 89.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.9063, kb_relative_information_score: -911.6857, mean_absolute_error: 0.1032, 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: 0.8704, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.905, scimark_benchmark: 1282.9453, usercpu_time_millis: 61.897, usercpu_time_millis_testing: 5.319, usercpu_time_millis_training: 56.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -861.3088, mean_absolute_error: 0.0995, 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: 0.8391, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.8871, scimark_benchmark: 1284.1048, usercpu_time_millis: 3.16, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 2.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -908.2665, mean_absolute_error: 0.0999, 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: 0.8422, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.8884, scimark_benchmark: 1243.6344, usercpu_time_millis: 57.029, usercpu_time_millis_testing: 3.562, usercpu_time_millis_training: 53.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.9189, kappa: 0.1563, kb_relative_information_score: -712.3286, mean_absolute_error: 0.096, 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: 0.8096, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.8597, scimark_benchmark: 1268.2414, usercpu_time_millis: 52.474, usercpu_time_millis_testing: 4.331, usercpu_time_millis_training: 48.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.916, kappa: 0.1188, kb_relative_information_score: -742.5953, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9349, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.8079, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.8645, scimark_benchmark: 1256.8484, usercpu_time_millis: 127.757, usercpu_time_millis_testing: 6.044, usercpu_time_millis_training: 121.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.9151, kappa: 0.1084, kb_relative_information_score: -714.5485, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9338, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.8116, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.8626, scimark_benchmark: 1266.8883, usercpu_time_millis: 84.58, usercpu_time_millis_testing: 5.469, usercpu_time_millis_training: 79.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -823.9453, mean_absolute_error: 0.1003, 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: 0.8454, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.8833, scimark_benchmark: 1249.3084, usercpu_time_millis: 24.129, usercpu_time_millis_testing: 2.157, usercpu_time_millis_training: 21.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1094.9035, mean_absolute_error: 0.103, 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: 0.8683, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.9113, scimark_benchmark: 1267.0059, usercpu_time_millis: 87.182, usercpu_time_millis_testing: 4.599, usercpu_time_millis_training: 82.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -691.2694, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9345, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.8069, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.8595, scimark_benchmark: 1279.6919, usercpu_time_millis: 17.913, usercpu_time_millis_testing: 1.322, usercpu_time_millis_training: 16.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.92, kappa: 0.1676, kb_relative_information_score: -625.3418, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9364, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7948, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8556, scimark_benchmark: 1278.3164, usercpu_time_millis: 82.572, usercpu_time_millis_testing: 7.051, usercpu_time_millis_training: 75.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.9272, kappa: 0.2602, kb_relative_information_score: -568.2607, mean_absolute_error: 0.0909, 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: 0.7667, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.8455, scimark_benchmark: 1275.7744, usercpu_time_millis: 84.621, usercpu_time_millis_testing: 4.525, usercpu_time_millis_training: 80.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.9268, kappa: 0.2533, kb_relative_information_score: -632.717, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9364, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.206, root_relative_squared_error: 0.8468, scimark_benchmark: 1279.6648, usercpu_time_millis: 192.14, usercpu_time_millis_testing: 7.657, usercpu_time_millis_training: 184.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.9063, kb_relative_information_score: -1014.1091, mean_absolute_error: 0.1041, 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: 0.8773, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.222, root_relative_squared_error: 0.9127, scimark_benchmark: 1251.3939, usercpu_time_millis: 5.566, usercpu_time_millis_testing: 0.53, usercpu_time_millis_training: 5.036,

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