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: 0.9135, f_measure: 0.9189, kappa: 0.1563, kb_relative_information_score: -664.5397, mean_absolute_error: 0.0951, 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: 0.8015, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8574, scimark_benchmark: 1274.4596, usercpu_time_millis: 69.925, usercpu_time_millis_testing: 5.565, usercpu_time_millis_training: 64.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -800.0096, mean_absolute_error: 0.0972, 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: 0.8191, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.8734, scimark_benchmark: 1254.8211, usercpu_time_millis: 78.966, usercpu_time_millis_testing: 4.905, usercpu_time_millis_training: 74.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -808.2621, mean_absolute_error: 0.0985, 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: 0.8301, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.214, root_relative_squared_error: 0.8799, scimark_benchmark: 1269.3143, usercpu_time_millis: 48.421, usercpu_time_millis_testing: 3.312, usercpu_time_millis_training: 45.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.9063, kb_relative_information_score: -1050.5116, mean_absolute_error: 0.1039, 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: 0.8759, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.9121, scimark_benchmark: 1267.6465, usercpu_time_millis: 19.373, usercpu_time_millis_testing: 1.282, usercpu_time_millis_training: 18.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -835.8902, 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: 0.8327, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.8814, scimark_benchmark: 1255.7414, usercpu_time_millis: 61.526, usercpu_time_millis_testing: 3.566, usercpu_time_millis_training: 57.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.9063, kb_relative_information_score: -1026.7386, mean_absolute_error: 0.1049, 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: 0.8845, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.9167, scimark_benchmark: 1271.1529, usercpu_time_millis: 56.054, usercpu_time_millis_testing: 4.699, usercpu_time_millis_training: 51.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -649.922, mean_absolute_error: 0.096, 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: 0.8097, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.211, root_relative_squared_error: 0.8673, scimark_benchmark: 1263.4274, usercpu_time_millis: 52.2, usercpu_time_millis_testing: 4.902, usercpu_time_millis_training: 47.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.9063, kb_relative_information_score: -1076.7447, 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: 0.2239, root_relative_squared_error: 0.9204, scimark_benchmark: 1251.6747, usercpu_time_millis: 33.525, usercpu_time_millis_testing: 2.831, usercpu_time_millis_training: 30.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, f_measure: 0.9063, kb_relative_information_score: -996.236, 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: 0.2228, root_relative_squared_error: 0.916, scimark_benchmark: 1244.6714, usercpu_time_millis: 17.57, usercpu_time_millis_testing: 1.559, usercpu_time_millis_training: 16.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.9259, kappa: 0.2479, kb_relative_information_score: -641.9361, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9322, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7635, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.8584, scimark_benchmark: 1264.8696, usercpu_time_millis: 3.61, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 3.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.9063, kb_relative_information_score: -1017.3984, mean_absolute_error: 0.1104, 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: 0.9306, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.9479, scimark_benchmark: 1259.1094, usercpu_time_millis: 21.814, usercpu_time_millis_testing: 2.372, usercpu_time_millis_training: 19.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.9063, kb_relative_information_score: -1180.0806, mean_absolute_error: 0.1087, 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: 0.9163, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.9407, scimark_benchmark: 1269.9011, usercpu_time_millis: 35.893, usercpu_time_millis_testing: 3.58, usercpu_time_millis_training: 32.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -746.011, 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: 0.8332, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.8784, scimark_benchmark: 1272.0046, usercpu_time_millis: 70.956, usercpu_time_millis_testing: 5.79, usercpu_time_millis_training: 65.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.9063, kb_relative_information_score: -977.0218, mean_absolute_error: 0.1121, 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: 0.9448, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.233, root_relative_squared_error: 0.9579, scimark_benchmark: 1267.8609, usercpu_time_millis: 13.893, usercpu_time_millis_testing: 1.571, usercpu_time_millis_training: 12.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.9261, kappa: 0.241, kb_relative_information_score: -639.1258, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9401, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7873, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.8496, scimark_benchmark: 1258.1111, usercpu_time_millis: 145.924, usercpu_time_millis_testing: 6.555, usercpu_time_millis_training: 139.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -810.3461, 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: 0.8397, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.8828, scimark_benchmark: 1270.4464, usercpu_time_millis: 46.715, usercpu_time_millis_testing: 3.967, usercpu_time_millis_training: 42.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1020.4183, mean_absolute_error: 0.1029, 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: 0.8675, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.9076, scimark_benchmark: 1261.6867, usercpu_time_millis: 44.343, usercpu_time_millis_testing: 3.641, usercpu_time_millis_training: 40.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.9063, kb_relative_information_score: -1116.3653, mean_absolute_error: 0.1093, 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: 0.9219, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.9438, scimark_benchmark: 1263.6683, usercpu_time_millis: 28.523, usercpu_time_millis_testing: 2.887, usercpu_time_millis_training: 25.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1041.0263, mean_absolute_error: 0.1026, 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: 0.8651, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.9064, scimark_benchmark: 1269.4559, usercpu_time_millis: 39.563, usercpu_time_millis_testing: 2.608, usercpu_time_millis_training: 36.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -712.0901, mean_absolute_error: 0.0952, 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: 0.8027, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.8624, scimark_benchmark: 1269.5274, usercpu_time_millis: 45.231, usercpu_time_millis_testing: 2.098, usercpu_time_millis_training: 43.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.9243, kappa: 0.2211, kb_relative_information_score: -605.4422, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9367, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7777, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.207, root_relative_squared_error: 0.8511, scimark_benchmark: 1263.3673, usercpu_time_millis: 43.073, usercpu_time_millis_testing: 2.845, usercpu_time_millis_training: 40.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.9063, kb_relative_information_score: -1107.4656, mean_absolute_error: 0.1073, 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: 0.9045, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.9318, scimark_benchmark: 1252.8087, usercpu_time_millis: 42.727, usercpu_time_millis_testing: 3.907, usercpu_time_millis_training: 38.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.9269, kappa: 0.2583, kb_relative_information_score: -569.9868, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9343, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7639, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.8464, scimark_benchmark: 1249.5762, usercpu_time_millis: 13.4, usercpu_time_millis_testing: 0.942, usercpu_time_millis_training: 12.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.92, kappa: 0.1676, kb_relative_information_score: -606.4811, mean_absolute_error: 0.0938, 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: 0.7911, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8555, scimark_benchmark: 1254.9069, usercpu_time_millis: 28.098, usercpu_time_millis_testing: 2.301, usercpu_time_millis_training: 25.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -686.6748, mean_absolute_error: 0.0958, 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: 0.8075, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.8619, scimark_benchmark: 1267.056, usercpu_time_millis: 10.958, usercpu_time_millis_testing: 0.773, usercpu_time_millis_training: 10.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -794.3919, mean_absolute_error: 0.0965, 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: 0.8132, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.8752, scimark_benchmark: 1272.0001, usercpu_time_millis: 21.569, usercpu_time_millis_testing: 1.042, usercpu_time_millis_training: 20.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -907.043, mean_absolute_error: 0.1007, 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: 0.8488, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.217, root_relative_squared_error: 0.8922, scimark_benchmark: 1266.6785, usercpu_time_millis: 3.558, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 3.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.9136, kappa: 0.0885, kb_relative_information_score: -717.7518, mean_absolute_error: 0.0948, 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: 0.7993, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.8666, scimark_benchmark: 1273.7736, usercpu_time_millis: 105.844, usercpu_time_millis_testing: 5.08, usercpu_time_millis_training: 100.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.9253, kappa: 0.2356, kb_relative_information_score: -624.3004, mean_absolute_error: 0.0922, 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: 0.7776, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.8547, scimark_benchmark: 1271.3796, usercpu_time_millis: 125.007, usercpu_time_millis_testing: 5.105, usercpu_time_millis_training: 119.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -815.2339, mean_absolute_error: 0.1007, 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: 0.849, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.8878, scimark_benchmark: 1251.3091, usercpu_time_millis: 39.642, usercpu_time_millis_testing: 3.431, usercpu_time_millis_training: 36.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -744.0335, mean_absolute_error: 0.0962, 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: 0.8107, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8703, scimark_benchmark: 1278.8212, usercpu_time_millis: 63.089, usercpu_time_millis_testing: 3.69, usercpu_time_millis_training: 59.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -748.9904, mean_absolute_error: 0.0994, 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: 0.838, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.8813, scimark_benchmark: 1276.0014, usercpu_time_millis: 62.454, usercpu_time_millis_testing: 5.688, usercpu_time_millis_training: 56.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -864.3981, 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: 0.8329, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.8843, scimark_benchmark: 1271.5394, usercpu_time_millis: 74.355, usercpu_time_millis_testing: 4.007, usercpu_time_millis_training: 70.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.9142, kappa: 0.0979, kb_relative_information_score: -677.2394, mean_absolute_error: 0.0954, 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: 0.8046, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.865, scimark_benchmark: 1265.3277, usercpu_time_millis: 24.508, usercpu_time_millis_testing: 1.882, usercpu_time_millis_training: 22.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.9142, kappa: 0.0979, kb_relative_information_score: -686.6105, mean_absolute_error: 0.0959, 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: 0.8084, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.866, scimark_benchmark: 1261.4942, usercpu_time_millis: 22.152, usercpu_time_millis_testing: 1.947, usercpu_time_millis_training: 20.205,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -788.6244, 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: 0.8282, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.213, root_relative_squared_error: 0.8758, scimark_benchmark: 1260.7657, usercpu_time_millis: 62.782, usercpu_time_millis_testing: 5.552, usercpu_time_millis_training: 57.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -679.1305, mean_absolute_error: 0.0975, 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: 0.8221, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.8738, scimark_benchmark: 1265.7294, usercpu_time_millis: 62.199, usercpu_time_millis_testing: 6.378, usercpu_time_millis_training: 55.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.9063, kb_relative_information_score: -737.1991, mean_absolute_error: 0.0995, 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: 0.8392, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.8853, scimark_benchmark: 1261.0992, usercpu_time_millis: 41.971, usercpu_time_millis_testing: 4.076, usercpu_time_millis_training: 37.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.9272, kappa: 0.2602, kb_relative_information_score: -565.2441, mean_absolute_error: 0.0911, 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: 0.7683, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.8448, scimark_benchmark: 1263.9319, usercpu_time_millis: 29.711, usercpu_time_millis_testing: 1.931, usercpu_time_millis_training: 27.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.9063, kb_relative_information_score: -1068.0409, mean_absolute_error: 0.1071, 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: 0.903, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.9298, scimark_benchmark: 1253.7211, usercpu_time_millis: 27.024, usercpu_time_millis_testing: 2.372, usercpu_time_millis_training: 24.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -809.0369, mean_absolute_error: 0.0997, 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: 0.8405, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.882, scimark_benchmark: 1267.3917, usercpu_time_millis: 52.589, usercpu_time_millis_testing: 4.983, usercpu_time_millis_training: 47.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.9063, kb_relative_information_score: -1349.9333, mean_absolute_error: 0.1093, 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: 0.9219, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.9471, scimark_benchmark: 1229.777, usercpu_time_millis: 19.214, usercpu_time_millis_testing: 1.081, usercpu_time_millis_training: 18.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.9063, kb_relative_information_score: -1148.5708, 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: 0.9065, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.9341, scimark_benchmark: 1248.2714, usercpu_time_millis: 47.85, usercpu_time_millis_testing: 4.729, usercpu_time_millis_training: 43.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.926, kappa: 0.2445, kb_relative_information_score: -625.2405, mean_absolute_error: 0.0926, 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: 0.7807, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.206, root_relative_squared_error: 0.8469, scimark_benchmark: 1266.2181, usercpu_time_millis: 86.663, usercpu_time_millis_testing: 4.193, usercpu_time_millis_training: 82.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.9271, kappa: 0.2552, kb_relative_information_score: -550.2184, mean_absolute_error: 0.0906, 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: 0.764, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.205, root_relative_squared_error: 0.8428, scimark_benchmark: 1256.0021, usercpu_time_millis: 163.857, usercpu_time_millis_testing: 9.52, usercpu_time_millis_training: 154.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.9063, kb_relative_information_score: -855.6722, mean_absolute_error: 0.1131, 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: 0.9537, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.9634, scimark_benchmark: 1241.4595, usercpu_time_millis: 26.582, usercpu_time_millis_testing: 2.985, usercpu_time_millis_training: 23.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.9063, kb_relative_information_score: -1031.193, 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: 0.9095, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.9338, scimark_benchmark: 1249.2745, usercpu_time_millis: 24.996, usercpu_time_millis_testing: 2.935, usercpu_time_millis_training: 22.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.9063, kb_relative_information_score: -1032.0572, mean_absolute_error: 0.1101, 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: 0.928, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.9443, scimark_benchmark: 1259.5787, usercpu_time_millis: 10.889, usercpu_time_millis_testing: 1.081, usercpu_time_millis_training: 9.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.9106, kappa: 0.0549, kb_relative_information_score: -810.6214, mean_absolute_error: 0.0991, 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: 0.8358, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.8764, scimark_benchmark: 1242.9355, usercpu_time_millis: 62.35, usercpu_time_millis_testing: 4.715, usercpu_time_millis_training: 57.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -1021.7163, mean_absolute_error: 0.1019, 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: 0.8591, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.899, scimark_benchmark: 1267.892, usercpu_time_millis: 6.523, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 6.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -904.3192, 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: 0.8506, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.8919, scimark_benchmark: 1252.4778, usercpu_time_millis: 49.363, usercpu_time_millis_testing: 3.693, usercpu_time_millis_training: 45.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.9063, kb_relative_information_score: -1.292, mean_absolute_error: 0.1184, 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: 0.9979, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1258.5797, usercpu_time_millis: 24.335, usercpu_time_millis_testing: 2.706, usercpu_time_millis_training: 21.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -709.951, 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: 0.8225, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.213, root_relative_squared_error: 0.8756, scimark_benchmark: 1231.0508, usercpu_time_millis: 21.858, usercpu_time_millis_testing: 2.519, usercpu_time_millis_training: 19.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -722.0091, mean_absolute_error: 0.0963, 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: 0.8123, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.8689, scimark_benchmark: 1262.5034, usercpu_time_millis: 46.306, usercpu_time_millis_testing: 2.903, usercpu_time_millis_training: 43.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.9268, kappa: 0.2613, kb_relative_information_score: -535.4212, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9315, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7532, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.8403, scimark_benchmark: 1261.8746, usercpu_time_millis: 29.205, usercpu_time_millis_testing: 1.501, usercpu_time_millis_training: 27.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.9262, kappa: 0.2497, kb_relative_information_score: -578.278, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9335, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7699, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.8466, scimark_benchmark: 1244.2453, usercpu_time_millis: 40.718, usercpu_time_millis_testing: 2.687, usercpu_time_millis_training: 38.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -694.3814, mean_absolute_error: 0.0945, 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: 0.7968, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8578, scimark_benchmark: 1249.0101, usercpu_time_millis: 23.412, usercpu_time_millis_testing: 1.112, usercpu_time_millis_training: 22.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.9219, kappa: 0.1932, kb_relative_information_score: -640.9842, mean_absolute_error: 0.0939, 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: 0.7918, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.8521, scimark_benchmark: 1255.139, usercpu_time_millis: 133.935, usercpu_time_millis_testing: 8.304, usercpu_time_millis_training: 125.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1015.1584, 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: 0.8657, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.9043, scimark_benchmark: 1249.9949, usercpu_time_millis: 66.824, usercpu_time_millis_testing: 4.487, usercpu_time_millis_training: 62.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.9063, kb_relative_information_score: -1006.1253, mean_absolute_error: 0.1038, 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: 0.8753, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.9118, scimark_benchmark: 1258.1644, usercpu_time_millis: 18.94, usercpu_time_millis_testing: 1.558, usercpu_time_millis_training: 17.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -872.4358, mean_absolute_error: 0.0991, 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: 0.8355, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.8806, scimark_benchmark: 1262.1741, usercpu_time_millis: 5.643, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 5.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -881.7187, 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: 0.8354, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.8842, scimark_benchmark: 1250.5145, usercpu_time_millis: 9.735, usercpu_time_millis_testing: 0.535, usercpu_time_millis_training: 9.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.9164, kappa: 0.1263, kb_relative_information_score: -950.3734, mean_absolute_error: 0.0966, 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: 0.8145, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.8902, scimark_benchmark: 1249.0665, usercpu_time_millis: 3.501, usercpu_time_millis_testing: 0.691, usercpu_time_millis_training: 2.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.9184, kappa: 0.1533, kb_relative_information_score: -801.0695, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9279, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.8032, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.8792, scimark_benchmark: 1259.9338, usercpu_time_millis: 3.205, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 2.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.9262, kappa: 0.2497, kb_relative_information_score: -608.5089, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9335, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7791, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.8465, scimark_benchmark: 1249.3759, usercpu_time_millis: 43.648, usercpu_time_millis_testing: 2.451, usercpu_time_millis_training: 41.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.9253, kappa: 0.232, kb_relative_information_score: -685.9252, mean_absolute_error: 0.0946, 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: 0.7977, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8525, scimark_benchmark: 1263.9025, usercpu_time_millis: 83.568, usercpu_time_millis_testing: 4.487, usercpu_time_millis_training: 79.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.9063, kb_relative_information_score: -1228.5729, mean_absolute_error: 0.1087, 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: 0.9165, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.229, root_relative_squared_error: 0.9415, scimark_benchmark: 1257.0636, usercpu_time_millis: 32.308, usercpu_time_millis_testing: 2.774, usercpu_time_millis_training: 29.534,

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