Task
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: 0.8389, f_measure: 0.9063, kb_relative_information_score: -1240.8559, mean_absolute_error: 0.1092, 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: 0.9211, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.9451, scimark_benchmark: 1257.0898, usercpu_time_millis: 42.384, usercpu_time_millis_testing: 3.258, usercpu_time_millis_training: 39.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.9189, kappa: 0.1563, kb_relative_information_score: -686.3574, mean_absolute_error: 0.0954, 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: 0.8042, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.8611, scimark_benchmark: 1241.5461, usercpu_time_millis: 26.929, usercpu_time_millis_testing: 1.769, usercpu_time_millis_training: 25.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.9162, kappa: 0.1202, kb_relative_information_score: -602.8959, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9394, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.8587, scimark_benchmark: 1257.4466, usercpu_time_millis: 21.882, usercpu_time_millis_testing: 1.874, usercpu_time_millis_training: 20.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.9289, kappa: 0.2819, kb_relative_information_score: -545.049, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9354, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.8403, scimark_benchmark: 1248.8297, usercpu_time_millis: 158.963, usercpu_time_millis_testing: 8.129, usercpu_time_millis_training: 150.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.9063, kb_relative_information_score: -1041.6386, 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: 0.2217, root_relative_squared_error: 0.9117, scimark_benchmark: 1272.2427, usercpu_time_millis: 15.229, usercpu_time_millis_testing: 1.082, usercpu_time_millis_training: 14.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.9277, kappa: 0.2744, kb_relative_information_score: -567.4079, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.931, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.759, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.8435, scimark_benchmark: 1250.4627, usercpu_time_millis: 175.123, usercpu_time_millis_testing: 6.683, usercpu_time_millis_training: 168.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.9238, kappa: 0.2136, kb_relative_information_score: -603.2087, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.938, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7864, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.8514, scimark_benchmark: 1259.7034, usercpu_time_millis: 81.2, usercpu_time_millis_testing: 5.565, usercpu_time_millis_training: 75.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.9063, kb_relative_information_score: -1395.0525, 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: 0.9255, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.9502, scimark_benchmark: 1263.9894, usercpu_time_millis: 48.263, usercpu_time_millis_testing: 3.124, usercpu_time_millis_training: 45.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.92, kappa: 0.1676, kb_relative_information_score: -602.0702, mean_absolute_error: 0.0936, 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: 0.789, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.855, scimark_benchmark: 1240.9076, usercpu_time_millis: 67.974, usercpu_time_millis_testing: 5.391, usercpu_time_millis_training: 62.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.9214, kappa: 0.1854, kb_relative_information_score: -642.6996, mean_absolute_error: 0.0939, 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: 0.7919, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8525, scimark_benchmark: 1236.3477, usercpu_time_millis: 112.928, usercpu_time_millis_testing: 7.389, usercpu_time_millis_training: 105.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.9115, kappa: 0.0658, kb_relative_information_score: -728.2795, mean_absolute_error: 0.0969, 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: 0.8172, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.8666, scimark_benchmark: 1267.2467, usercpu_time_millis: 58.856, usercpu_time_millis_testing: 4.138, usercpu_time_millis_training: 54.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.9268, kappa: 0.2533, kb_relative_information_score: -631.3185, mean_absolute_error: 0.0923, 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: 0.7783, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.8446, scimark_benchmark: 1270.8191, usercpu_time_millis: 183.494, usercpu_time_millis_testing: 7.163, usercpu_time_millis_training: 176.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -632.733, mean_absolute_error: 0.0934, 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: 0.7875, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8555, scimark_benchmark: 1249.725, usercpu_time_millis: 55.854, usercpu_time_millis_testing: 3.156, usercpu_time_millis_training: 52.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -793.7218, mean_absolute_error: 0.0971, 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: 0.8188, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.8728, scimark_benchmark: 1264.4702, usercpu_time_millis: 54.031, usercpu_time_millis_testing: 2.459, usercpu_time_millis_training: 51.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.9219, kappa: 0.1932, kb_relative_information_score: -678.3116, mean_absolute_error: 0.0948, 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: 0.799, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.8548, scimark_benchmark: 1224.2433, usercpu_time_millis: 26.499, usercpu_time_millis_testing: 1.365, usercpu_time_millis_training: 25.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -601.3906, mean_absolute_error: 0.0931, 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: 0.7852, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.852, scimark_benchmark: 1272.3499, usercpu_time_millis: 109.076, usercpu_time_millis_testing: 7.408, usercpu_time_millis_training: 101.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.9063, kb_relative_information_score: -1089.3996, mean_absolute_error: 0.1052, 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: 0.8873, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.9194, scimark_benchmark: 1258.1531, usercpu_time_millis: 28.606, usercpu_time_millis_testing: 1.992, usercpu_time_millis_training: 26.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.9136, kappa: 0.0885, kb_relative_information_score: -803.1573, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9366, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.8309, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.875, scimark_benchmark: 1248.9885, usercpu_time_millis: 12.339, usercpu_time_millis_testing: 0.976, usercpu_time_millis_training: 11.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.9063, kb_relative_information_score: -1117.1615, mean_absolute_error: 0.1103, 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: 0.9302, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.948, scimark_benchmark: 1243.8631, usercpu_time_millis: 5.23, usercpu_time_millis_testing: 0.624, usercpu_time_millis_training: 4.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -705.1842, mean_absolute_error: 0.0983, 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: 0.8286, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.8777, scimark_benchmark: 1271.6156, usercpu_time_millis: 57.897, usercpu_time_millis_testing: 5.174, usercpu_time_millis_training: 52.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.9149, kappa: 0.1071, kb_relative_information_score: -746.6722, mean_absolute_error: 0.097, 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: 0.8178, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.8671, scimark_benchmark: 1270.2864, usercpu_time_millis: 57.533, usercpu_time_millis_testing: 4.116, usercpu_time_millis_training: 53.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.9063, kb_relative_information_score: -1129.5577, mean_absolute_error: 0.1099, 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: 0.9268, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.9471, scimark_benchmark: 1267.5342, usercpu_time_millis: 31.241, usercpu_time_millis_testing: 3.308, usercpu_time_millis_training: 27.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.925, kappa: 0.2302, kb_relative_information_score: -626.8555, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9375, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7856, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.8488, scimark_benchmark: 1258.1632, usercpu_time_millis: 128.694, usercpu_time_millis_testing: 6.286, usercpu_time_millis_training: 122.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.9245, kappa: 0.2228, kb_relative_information_score: -665.2093, mean_absolute_error: 0.0938, 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: 0.7909, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.8494, scimark_benchmark: 1260.6127, usercpu_time_millis: 59.588, usercpu_time_millis_testing: 3.233, usercpu_time_millis_training: 56.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -809.0002, mean_absolute_error: 0.0994, 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: 0.8378, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.883, scimark_benchmark: 1254.7037, usercpu_time_millis: 57.022, usercpu_time_millis_testing: 4.565, usercpu_time_millis_training: 52.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.9063, kb_relative_information_score: -1070.3486, mean_absolute_error: 0.1058, 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: 0.8919, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.9231, scimark_benchmark: 1248.8696, usercpu_time_millis: 51.511, usercpu_time_millis_testing: 4.294, usercpu_time_millis_training: 47.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -668.564, mean_absolute_error: 0.0946, 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: 0.7975, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8539, scimark_benchmark: 1225.2685, usercpu_time_millis: 20.206, usercpu_time_millis_testing: 1.12, usercpu_time_millis_training: 19.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1054.5684, mean_absolute_error: 0.1038, 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: 0.875, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.9113, scimark_benchmark: 1256.1936, usercpu_time_millis: 45.485, usercpu_time_millis_testing: 3.237, usercpu_time_millis_training: 42.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.9063, kb_relative_information_score: -1121.9606, mean_absolute_error: 0.1099, 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: 0.9266, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.9485, scimark_benchmark: 1262.8691, usercpu_time_millis: 25.654, usercpu_time_millis_testing: 2.675, usercpu_time_millis_training: 22.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -692.974, mean_absolute_error: 0.0974, 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: 0.8211, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.8722, scimark_benchmark: 1260.7138, usercpu_time_millis: 23.992, usercpu_time_millis_testing: 2.223, usercpu_time_millis_training: 21.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.9063, kb_relative_information_score: -1168.5733, mean_absolute_error: 0.1112, 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: 0.9378, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.9551, scimark_benchmark: 1270.9903, usercpu_time_millis: 35.858, usercpu_time_millis_testing: 3.342, usercpu_time_millis_training: 32.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.9253, kappa: 0.232, kb_relative_information_score: -672.1493, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9394, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7937, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8538, scimark_benchmark: 1272.039, usercpu_time_millis: 57.879, usercpu_time_millis_testing: 2.947, usercpu_time_millis_training: 54.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -731.5139, mean_absolute_error: 0.0995, 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: 0.839, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.215, root_relative_squared_error: 0.8841, scimark_benchmark: 1262.4434, usercpu_time_millis: 53.899, usercpu_time_millis_testing: 4.981, usercpu_time_millis_training: 48.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.9063, kb_relative_information_score: -998.386, mean_absolute_error: 0.1062, 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: 0.8954, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.9239, scimark_benchmark: 1269.0978, usercpu_time_millis: 48.602, usercpu_time_millis_testing: 4.516, usercpu_time_millis_training: 44.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -903.9723, mean_absolute_error: 0.1008, 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: 0.8502, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.8904, scimark_benchmark: 1266.5446, usercpu_time_millis: 50.341, usercpu_time_millis_testing: 3.741, usercpu_time_millis_training: 46.6,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.92, kappa: 0.1676, kb_relative_information_score: -696.8486, mean_absolute_error: 0.0954, 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: 0.8046, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.8599, scimark_benchmark: 1246.6502, usercpu_time_millis: 9.9, usercpu_time_millis_testing: 0.82, usercpu_time_millis_training: 9.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.9214, kappa: 0.1854, kb_relative_information_score: -611.6744, mean_absolute_error: 0.0928, 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: 0.7825, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.207, root_relative_squared_error: 0.8513, scimark_benchmark: 1268.2513, usercpu_time_millis: 20.495, usercpu_time_millis_testing: 2.214, usercpu_time_millis_training: 18.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.9127, kappa: 0.0778, kb_relative_information_score: -698.2975, mean_absolute_error: 0.0968, 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: 0.8163, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.8673, scimark_benchmark: 1250.1921, usercpu_time_millis: 42.03, usercpu_time_millis_testing: 3.977, usercpu_time_millis_training: 38.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8545, f_measure: 0.9063, kb_relative_information_score: -1016.1151, mean_absolute_error: 0.1106, 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: 0.9329, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.9495, scimark_benchmark: 1261.8695, usercpu_time_millis: 10.24, usercpu_time_millis_testing: 1.053, usercpu_time_millis_training: 9.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -967.2636, mean_absolute_error: 0.1, 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: 0.8431, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.218, root_relative_squared_error: 0.8962, scimark_benchmark: 1265.4684, usercpu_time_millis: 5.416, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 5.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -887.8173, 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: 0.8423, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.8871, scimark_benchmark: 1257.7694, usercpu_time_millis: 20.092, usercpu_time_millis_testing: 1.298, usercpu_time_millis_training: 18.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -800.449, mean_absolute_error: 0.1, 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: 0.843, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.8856, scimark_benchmark: 1267.8125, usercpu_time_millis: 17.135, usercpu_time_millis_testing: 1.755, usercpu_time_millis_training: 15.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.9063, kb_relative_information_score: -1033.9926, mean_absolute_error: 0.1116, 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: 0.9405, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.9569, scimark_benchmark: 1251.0557, usercpu_time_millis: 15.046, usercpu_time_millis_testing: 1.466, usercpu_time_millis_training: 13.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -910.1038, mean_absolute_error: 0.1028, 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: 0.8671, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.9049, scimark_benchmark: 1269.4134, usercpu_time_millis: 14.223, usercpu_time_millis_testing: 1.445, usercpu_time_millis_training: 12.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.9271, kappa: 0.2632, kb_relative_information_score: -641.7882, mean_absolute_error: 0.092, 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: 0.7759, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.8497, scimark_benchmark: 1261.8978, usercpu_time_millis: 11.265, usercpu_time_millis_testing: 0.717, usercpu_time_millis_training: 10.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.9127, kappa: 0.0778, kb_relative_information_score: -731.6907, mean_absolute_error: 0.0949, 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: 0.8002, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.211, root_relative_squared_error: 0.8674, scimark_benchmark: 1261.6666, usercpu_time_millis: 76.287, usercpu_time_millis_testing: 3.46, usercpu_time_millis_training: 72.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.9275, kappa: 0.277, kb_relative_information_score: -740.3677, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.929, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7615, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.863, scimark_benchmark: 1272.9284, usercpu_time_millis: 3.99, usercpu_time_millis_testing: 0.414, usercpu_time_millis_training: 3.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.926, kappa: 0.2445, kb_relative_information_score: -642.3568, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9356, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7785, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.8455, scimark_benchmark: 1274.7276, usercpu_time_millis: 66.323, usercpu_time_millis_testing: 2.669, usercpu_time_millis_training: 63.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.9208, kappa: 0.1773, kb_relative_information_score: -632.5173, mean_absolute_error: 0.0934, 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: 0.7875, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.8564, scimark_benchmark: 1274.9665, usercpu_time_millis: 63.751, usercpu_time_millis_testing: 4.239, usercpu_time_millis_training: 59.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.9255, kappa: 0.2374, kb_relative_information_score: -627.1441, mean_absolute_error: 0.0928, 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: 0.7827, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.8483, scimark_benchmark: 1259.2387, usercpu_time_millis: 56.021, usercpu_time_millis_testing: 2.855, usercpu_time_millis_training: 53.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.9257, kappa: 0.2427, kb_relative_information_score: -624.2577, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9341, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.8458, scimark_benchmark: 1266.653, usercpu_time_millis: 125.82, usercpu_time_millis_testing: 5.187, usercpu_time_millis_training: 120.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.9235, kappa: 0.2119, kb_relative_information_score: -646.9914, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9359, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7868, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.8496, scimark_benchmark: 1275.2803, usercpu_time_millis: 51.545, usercpu_time_millis_testing: 2.586, usercpu_time_millis_training: 48.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.925, kappa: 0.2339, kb_relative_information_score: -642.5001, mean_absolute_error: 0.093, 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: 0.7838, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.206, root_relative_squared_error: 0.8468, scimark_benchmark: 1246.6952, usercpu_time_millis: 111.776, usercpu_time_millis_testing: 5.626, usercpu_time_millis_training: 106.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -766.1379, mean_absolute_error: 0.1, 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: 0.843, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.8859, scimark_benchmark: 1254.6779, usercpu_time_millis: 37.18, usercpu_time_millis_testing: 3.599, usercpu_time_millis_training: 33.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.9197, kappa: 0.1661, kb_relative_information_score: -625.8247, mean_absolute_error: 0.0942, 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: 0.7945, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.857, scimark_benchmark: 1264.657, usercpu_time_millis: 102.786, usercpu_time_millis_testing: 8.182, usercpu_time_millis_training: 94.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -907.6283, mean_absolute_error: 0.1008, 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: 0.8496, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.217, root_relative_squared_error: 0.8922, scimark_benchmark: 1259.7696, usercpu_time_millis: 28.469, usercpu_time_millis_testing: 2.32, usercpu_time_millis_training: 26.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -710.6565, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9339, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8084, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.8688, scimark_benchmark: 1234.6522, usercpu_time_millis: 91.285, usercpu_time_millis_testing: 6.731, usercpu_time_millis_training: 84.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: 3.7831, 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: 0.9972, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1262.0185, usercpu_time_millis: 20.014, usercpu_time_millis_testing: 2.529, usercpu_time_millis_training: 17.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.9286, kappa: 0.28, kb_relative_information_score: -561.0236, mean_absolute_error: 0.0904, 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: 0.7624, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.8417, scimark_benchmark: 1250.7122, usercpu_time_millis: 157.071, usercpu_time_millis_testing: 7.031, usercpu_time_millis_training: 150.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -699.257, mean_absolute_error: 0.0965, 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: 0.814, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.8692, scimark_benchmark: 1275.6682, usercpu_time_millis: 13.471, usercpu_time_millis_testing: 1.186, usercpu_time_millis_training: 12.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.9271, kappa: 0.2552, kb_relative_information_score: -568.4848, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.938, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7695, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.8441, scimark_benchmark: 1266.512, usercpu_time_millis: 144.956, usercpu_time_millis_testing: 8.636, usercpu_time_millis_training: 136.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.9235, kappa: 0.2119, kb_relative_information_score: -631.4641, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9359, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7845, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.8489, scimark_benchmark: 1259.2383, usercpu_time_millis: 100.274, usercpu_time_millis_testing: 5.37, usercpu_time_millis_training: 94.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.9063, kb_relative_information_score: -1169.025, mean_absolute_error: 0.1064, 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: 0.8972, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.226, root_relative_squared_error: 0.9293, scimark_benchmark: 1264.1641, usercpu_time_millis: 40.647, usercpu_time_millis_testing: 2.665, usercpu_time_millis_training: 37.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.9214, kappa: 0.1854, kb_relative_information_score: -643.6234, mean_absolute_error: 0.0939, 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: 0.7916, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.8501, scimark_benchmark: 1268.8375, usercpu_time_millis: 99.767, usercpu_time_millis_testing: 6.424, usercpu_time_millis_training: 93.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.9063, kb_relative_information_score: -1202.4551, mean_absolute_error: 0.1068, 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: 0.9005, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.9309, scimark_benchmark: 1256.7521, usercpu_time_millis: 97.364, usercpu_time_millis_testing: 4.552, usercpu_time_millis_training: 92.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.9063, kb_relative_information_score: -1138.8824, mean_absolute_error: 0.1055, 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: 0.8897, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.9228, scimark_benchmark: 1243.6758, usercpu_time_millis: 76.398, usercpu_time_millis_testing: 4.11, usercpu_time_millis_training: 72.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.9265, kappa: 0.2515, kb_relative_information_score: -570.7787, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9349, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7686, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.8451, scimark_benchmark: 1268.2429, usercpu_time_millis: 87.013, usercpu_time_millis_testing: 5.398, usercpu_time_millis_training: 81.615,

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