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: 0.9162, f_measure: 0.9211, kappa: 0.1838, kb_relative_information_score: -626.294, mean_absolute_error: 0.0939, 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: 0.7921, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8538, scimark_benchmark: 1273.4991, usercpu_time_millis: 14.718, usercpu_time_millis_testing: 0.967, usercpu_time_millis_training: 13.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.9133, kappa: 0.0873, kb_relative_information_score: -806.4537, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.931, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.8736, scimark_benchmark: 1264.6937, usercpu_time_millis: 34.64, usercpu_time_millis_testing: 2.766, usercpu_time_millis_training: 31.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.9266, kappa: 0.2482, kb_relative_information_score: -646.1529, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.939, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7847, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.8483, scimark_benchmark: 1266.8578, usercpu_time_millis: 21.906, usercpu_time_millis_testing: 1.19, usercpu_time_millis_training: 20.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -973.555, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9096, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8532, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.896, scimark_benchmark: 1275.9125, usercpu_time_millis: 8.837, usercpu_time_millis_testing: 0.509, usercpu_time_millis_training: 8.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.9063, kb_relative_information_score: -1088.1271, 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: 0.9044, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.931, scimark_benchmark: 1274.3358, usercpu_time_millis: 9.803, usercpu_time_millis_testing: 1.042, usercpu_time_millis_training: 8.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.9063, kb_relative_information_score: -1115.6388, 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: 0.8866, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.9172, scimark_benchmark: 1269.9326, usercpu_time_millis: 4.848, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 4.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -743.0694, mean_absolute_error: 0.0968, 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: 0.8161, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.8699, scimark_benchmark: 1268.6232, usercpu_time_millis: 78.68, usercpu_time_millis_testing: 5.11, usercpu_time_millis_training: 73.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.9283, kappa: 0.2781, kb_relative_information_score: -555.3726, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9331, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7594, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.8417, scimark_benchmark: 1268.7886, usercpu_time_millis: 139.156, usercpu_time_millis_testing: 5.866, usercpu_time_millis_training: 133.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.9255, kappa: 0.2374, kb_relative_information_score: -629.1109, mean_absolute_error: 0.0927, 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: 0.7813, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.206, root_relative_squared_error: 0.8469, scimark_benchmark: 1270.8863, usercpu_time_millis: 123.867, usercpu_time_millis_testing: 5.337, usercpu_time_millis_training: 118.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -929.6568, mean_absolute_error: 0.1019, 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: 0.859, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.9, scimark_benchmark: 1284.3686, usercpu_time_millis: 66.631, usercpu_time_millis_testing: 6.309, usercpu_time_millis_training: 60.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.9151, kappa: 0.1084, kb_relative_information_score: -658.7062, mean_absolute_error: 0.0956, 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: 0.8056, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.21, root_relative_squared_error: 0.8632, scimark_benchmark: 1275.9489, usercpu_time_millis: 96.436, usercpu_time_millis_testing: 7.728, usercpu_time_millis_training: 88.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.9133, kappa: 0.0873, kb_relative_information_score: -642.102, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.931, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8053, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.865, scimark_benchmark: 1267.0288, usercpu_time_millis: 25.529, usercpu_time_millis_testing: 2.273, usercpu_time_millis_training: 23.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.9133, kappa: 0.0873, kb_relative_information_score: -629.9199, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.931, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8039, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.8644, scimark_benchmark: 1275.7897, usercpu_time_millis: 108.6, usercpu_time_millis_testing: 10.511, usercpu_time_millis_training: 98.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1112.7583, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8761, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.9161, scimark_benchmark: 1266.7794, usercpu_time_millis: 20.662, usercpu_time_millis_testing: 1.177, usercpu_time_millis_training: 19.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.9271, kappa: 0.2552, kb_relative_information_score: -634.1229, mean_absolute_error: 0.0925, 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: 0.78, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.206, root_relative_squared_error: 0.847, scimark_benchmark: 1274.3109, usercpu_time_millis: 130.342, usercpu_time_millis_testing: 5.028, usercpu_time_millis_training: 125.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -655.7152, mean_absolute_error: 0.0949, 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: 0.8002, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8573, scimark_benchmark: 1262.5283, usercpu_time_millis: 13.827, usercpu_time_millis_testing: 0.882, usercpu_time_millis_training: 12.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.9063, kb_relative_information_score: -1250.725, 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: 0.906, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.9362, scimark_benchmark: 1256.7507, usercpu_time_millis: 4.222, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 3.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -898.6927, mean_absolute_error: 0.1005, 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: 0.8474, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.217, root_relative_squared_error: 0.8923, scimark_benchmark: 1257.4145, usercpu_time_millis: 45.248, usercpu_time_millis_testing: 3.227, usercpu_time_millis_training: 42.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.9063, kb_relative_information_score: -885.4734, mean_absolute_error: 0.1031, 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: 0.869, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.9032, scimark_benchmark: 1262.4498, usercpu_time_millis: 43.009, usercpu_time_millis_testing: 4.443, usercpu_time_millis_training: 38.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.9106, kappa: 0.0549, kb_relative_information_score: -732.1201, mean_absolute_error: 0.0979, 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: 0.8252, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8705, scimark_benchmark: 1260.9778, usercpu_time_millis: 67.942, usercpu_time_millis_testing: 6.261, usercpu_time_millis_training: 61.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -977.2044, mean_absolute_error: 0.1001, 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: 0.8438, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.8952, scimark_benchmark: 1268.1626, usercpu_time_millis: 110.777, usercpu_time_millis_testing: 6.015, usercpu_time_millis_training: 104.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -976.6378, mean_absolute_error: 0.1024, 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: 0.8632, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.9043, scimark_benchmark: 1270.4486, usercpu_time_millis: 56.819, usercpu_time_millis_testing: 5.815, usercpu_time_millis_training: 51.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -964.7286, mean_absolute_error: 0.1005, 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: 0.8474, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.8929, scimark_benchmark: 1275.5231, usercpu_time_millis: 55.615, usercpu_time_millis_testing: 2.307, usercpu_time_millis_training: 53.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.92, kappa: 0.1727, kb_relative_information_score: -654.2731, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9302, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.7898, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8527, scimark_benchmark: 1260.4103, usercpu_time_millis: 19.328, usercpu_time_millis_testing: 1.371, usercpu_time_millis_training: 17.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.9063, kb_relative_information_score: -814.6582, mean_absolute_error: 0.1016, 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: 0.8565, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.8939, scimark_benchmark: 1274.665, usercpu_time_millis: 38.174, usercpu_time_millis_testing: 4.186, usercpu_time_millis_training: 33.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -726.5554, mean_absolute_error: 0.0978, 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: 0.8246, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.8744, scimark_benchmark: 1269.2845, usercpu_time_millis: 48.841, usercpu_time_millis_testing: 4.37, usercpu_time_millis_training: 44.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.9063, kb_relative_information_score: -1068.7344, 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: 0.93, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.231, root_relative_squared_error: 0.9499, scimark_benchmark: 1274.486, usercpu_time_millis: 27.332, usercpu_time_millis_testing: 3.45, usercpu_time_millis_training: 23.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.9248, kappa: 0.2284, kb_relative_information_score: -593.4024, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9357, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7786, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.8492, scimark_benchmark: 1262.5399, usercpu_time_millis: 96.284, usercpu_time_millis_testing: 6.044, usercpu_time_millis_training: 90.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.9189, kappa: 0.1563, kb_relative_information_score: -698.2355, mean_absolute_error: 0.0958, 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: 0.8074, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.209, root_relative_squared_error: 0.8591, scimark_benchmark: 1264.1017, usercpu_time_millis: 92.281, usercpu_time_millis_testing: 6.116, usercpu_time_millis_training: 86.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.9063, kb_relative_information_score: -1027.0833, mean_absolute_error: 0.1081, 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: 0.9114, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.9347, scimark_benchmark: 1267.966, usercpu_time_millis: 29.628, usercpu_time_millis_testing: 3.507, usercpu_time_millis_training: 26.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.9063, kb_relative_information_score: -1036.0664, 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: 0.9218, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.229, root_relative_squared_error: 0.9417, scimark_benchmark: 1265.8755, usercpu_time_millis: 26.169, usercpu_time_millis_testing: 3.034, usercpu_time_millis_training: 23.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.9127, kappa: 0.0778, kb_relative_information_score: -749.8879, mean_absolute_error: 0.0976, 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: 0.823, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8704, scimark_benchmark: 1267.1497, usercpu_time_millis: 77.763, usercpu_time_millis_testing: 5.893, usercpu_time_millis_training: 71.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -725.9682, mean_absolute_error: 0.098, 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: 0.826, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.8711, scimark_benchmark: 1260.6301, usercpu_time_millis: 57.72, usercpu_time_millis_testing: 4.831, usercpu_time_millis_training: 52.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.928, kappa: 0.2688, kb_relative_information_score: -568.1599, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9365, 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: 0.2055, root_relative_squared_error: 0.845, scimark_benchmark: 1261.7388, usercpu_time_millis: 55.104, usercpu_time_millis_testing: 2.551, usercpu_time_millis_training: 52.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -905.2251, 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: 0.8391, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.8864, scimark_benchmark: 1276.1655, usercpu_time_millis: 82.493, usercpu_time_millis_testing: 4.521, usercpu_time_millis_training: 77.972,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -801.882, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8222, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.8751, scimark_benchmark: 1263.1519, usercpu_time_millis: 23.561, usercpu_time_millis_testing: 1.462, usercpu_time_millis_training: 22.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1069.6946, mean_absolute_error: 0.1035, 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: 0.8722, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.9101, scimark_benchmark: 1266.863, usercpu_time_millis: 80.211, usercpu_time_millis_testing: 3.769, usercpu_time_millis_training: 76.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.9063, kb_relative_information_score: -1023.1548, 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: 0.8776, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.9123, scimark_benchmark: 1256.0782, usercpu_time_millis: 60.638, usercpu_time_millis_testing: 4.888, usercpu_time_millis_training: 55.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -960.0558, mean_absolute_error: 0.1003, 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: 0.8454, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.8935, scimark_benchmark: 1256.3883, usercpu_time_millis: 4.106, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 3.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.9255, kappa: 0.2374, kb_relative_information_score: -613.372, mean_absolute_error: 0.0929, 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: 0.7833, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.8486, scimark_benchmark: 1246.1333, usercpu_time_millis: 125.279, usercpu_time_millis_testing: 7.184, usercpu_time_millis_training: 118.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.9063, kb_relative_information_score: -1046.8421, mean_absolute_error: 0.1096, 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: 0.924, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.9477, scimark_benchmark: 1250.2583, usercpu_time_millis: 23.447, usercpu_time_millis_testing: 2.168, usercpu_time_millis_training: 21.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.9063, kb_relative_information_score: -1255.2763, mean_absolute_error: 0.1097, 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: 0.9249, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.9476, scimark_benchmark: 1272.0801, usercpu_time_millis: 9.742, usercpu_time_millis_testing: 0.827, usercpu_time_millis_training: 8.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.9267, kappa: 0.2565, kb_relative_information_score: -615.2108, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.933, 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: 0.2058, root_relative_squared_error: 0.8462, scimark_benchmark: 1258.75, usercpu_time_millis: 24.661, usercpu_time_millis_testing: 1.614, usercpu_time_millis_training: 23.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -835.9951, mean_absolute_error: 0.0979, 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: 0.8254, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.8805, scimark_benchmark: 1245.2542, usercpu_time_millis: 62.983, usercpu_time_millis_testing: 3.365, usercpu_time_millis_training: 59.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -883.6796, mean_absolute_error: 0.1004, 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: 0.8467, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.8913, scimark_benchmark: 1268.0134, usercpu_time_millis: 62.796, usercpu_time_millis_testing: 4.877, usercpu_time_millis_training: 57.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.9261, kappa: 0.241, kb_relative_information_score: -610.7503, mean_absolute_error: 0.0926, 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: 0.7803, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8524, scimark_benchmark: 1269.4236, usercpu_time_millis: 127.396, usercpu_time_millis_testing: 6.596, usercpu_time_millis_training: 120.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.9245, kappa: 0.2228, kb_relative_information_score: -675.5288, mean_absolute_error: 0.0941, 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: 0.7931, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.8548, scimark_benchmark: 1255.7861, usercpu_time_millis: 122.783, usercpu_time_millis_testing: 5.129, usercpu_time_millis_training: 117.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -907.9192, mean_absolute_error: 0.1004, 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: 0.8463, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.8887, scimark_benchmark: 1263.2421, usercpu_time_millis: 11.182, usercpu_time_millis_testing: 0.787, usercpu_time_millis_training: 10.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.9177, kappa: 0.1393, kb_relative_information_score: -655.5274, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9369, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.8018, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8574, scimark_benchmark: 1259.4768, usercpu_time_millis: 63.761, usercpu_time_millis_testing: 5.323, usercpu_time_millis_training: 58.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -661.5125, mean_absolute_error: 0.0965, 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: 0.8133, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.8701, scimark_benchmark: 1261.8606, usercpu_time_millis: 106.063, usercpu_time_millis_testing: 9.678, usercpu_time_millis_training: 96.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.9177, kappa: 0.1393, kb_relative_information_score: -709.3737, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9369, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.8627, scimark_benchmark: 1257.7659, usercpu_time_millis: 18.731, usercpu_time_millis_testing: 1.622, usercpu_time_millis_training: 17.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.9208, kappa: 0.1822, kb_relative_information_score: -690.7025, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9312, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7904, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.8533, scimark_benchmark: 1258.9379, usercpu_time_millis: 8.331, usercpu_time_millis_testing: 0.472, usercpu_time_millis_training: 7.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.925, kappa: 0.2339, kb_relative_information_score: -621.8528, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9333, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.845, scimark_benchmark: 1272.0647, usercpu_time_millis: 90.619, usercpu_time_millis_testing: 3.698, usercpu_time_millis_training: 86.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.9063, kb_relative_information_score: -1441.881, mean_absolute_error: 0.1109, 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: 0.9348, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.956, scimark_benchmark: 1256.852, usercpu_time_millis: 2.795, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 2.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.9142, kappa: 0.0979, kb_relative_information_score: -789.4111, mean_absolute_error: 0.098, 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: 0.8264, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.8708, scimark_benchmark: 1263.7173, usercpu_time_millis: 36.514, usercpu_time_millis_testing: 2.662, usercpu_time_millis_training: 33.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.916, kappa: 0.1188, kb_relative_information_score: -686.1156, 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: 0.808, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.8643, scimark_benchmark: 1266.2771, usercpu_time_millis: 78.311, usercpu_time_millis_testing: 5.377, usercpu_time_millis_training: 72.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -718.4458, mean_absolute_error: 0.0953, 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: 0.8038, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.8586, scimark_benchmark: 1270.9219, usercpu_time_millis: 29.13, usercpu_time_millis_testing: 1.636, usercpu_time_millis_training: 27.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -901.1413, mean_absolute_error: 0.101, 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: 0.8513, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.8865, scimark_benchmark: 1261.6795, usercpu_time_millis: 25.349, usercpu_time_millis_testing: 1.868, usercpu_time_millis_training: 23.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -772.2964, mean_absolute_error: 0.0961, 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: 0.8102, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.8727, scimark_benchmark: 1259.5811, usercpu_time_millis: 116.349, usercpu_time_millis_testing: 5.69, usercpu_time_millis_training: 110.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.9063, kb_relative_information_score: -1055.2255, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.9529, scimark_benchmark: 1263.989, usercpu_time_millis: 5.35, usercpu_time_millis_testing: 0.488, usercpu_time_millis_training: 4.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.9063, kb_relative_information_score: -1028.9058, mean_absolute_error: 0.109, 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: 0.9187, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.9388, scimark_benchmark: 1246.4814, usercpu_time_millis: 2.45, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 2.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -668.8402, 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: 0.8194, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.8725, scimark_benchmark: 1255.1782, usercpu_time_millis: 41.439, usercpu_time_millis_testing: 3.774, usercpu_time_millis_training: 37.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.9063, kb_relative_information_score: -1149.7334, mean_absolute_error: 0.1066, 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: 0.8988, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.9296, scimark_benchmark: 1250.2994, usercpu_time_millis: 34.399, usercpu_time_millis_testing: 2.602, usercpu_time_millis_training: 31.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -795.0579, mean_absolute_error: 0.1004, 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: 0.8465, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.887, scimark_benchmark: 1264.1868, usercpu_time_millis: 25.924, usercpu_time_millis_testing: 2.354, usercpu_time_millis_training: 23.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.9063, kb_relative_information_score: -728.8618, mean_absolute_error: 0.1139, 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: 0.9607, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.9694, scimark_benchmark: 1257.7163, usercpu_time_millis: 24.991, usercpu_time_millis_testing: 3.221, usercpu_time_millis_training: 21.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -655.1055, mean_absolute_error: 0.0967, 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: 0.8151, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.212, root_relative_squared_error: 0.8716, scimark_benchmark: 1251.4681, usercpu_time_millis: 87.097, usercpu_time_millis_testing: 8.725, usercpu_time_millis_training: 78.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.92, kappa: 0.1676, kb_relative_information_score: -710.594, mean_absolute_error: 0.0958, 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: 0.8076, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8573, scimark_benchmark: 1268.7642, usercpu_time_millis: 64.191, usercpu_time_millis_testing: 4.42, usercpu_time_millis_training: 59.771,

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