OpenML
Supervised Classification on ozone-level-8hr

Supervised Classification on ozone-level-8hr

Task 145855 Supervised Classification ozone-level-8hr 90654 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.9276, kappa: 0.2697, kb_relative_information_score: -669.9014, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9323, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7685, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.8545, scimark_benchmark: 1378.7998, usercpu_time_millis: 18.462, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 18.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.9267, kappa: 0.2565, kb_relative_information_score: -785.66, mean_absolute_error: 0.0937, 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: 0.7898, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.208, root_relative_squared_error: 0.855, scimark_benchmark: 1380.816, usercpu_time_millis: 69.32, usercpu_time_millis_testing: 0.765, usercpu_time_millis_training: 68.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.9063, kb_relative_information_score: -1324.9696, 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: 0.9323, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.9556, scimark_benchmark: 1375.2944, usercpu_time_millis: 4.505, usercpu_time_millis_testing: 0.437, usercpu_time_millis_training: 4.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.9264, kappa: 0.2625, kb_relative_information_score: -609.7415, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9282, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7632, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8528, scimark_benchmark: 1377.4867, usercpu_time_millis: 26.752, usercpu_time_millis_testing: 0.74, usercpu_time_millis_training: 26.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.9063, kb_relative_information_score: -1595.2093, 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: 0.9259, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.9549, scimark_benchmark: 1381.515, usercpu_time_millis: 1.601, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 1.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.9063, kb_relative_information_score: 3.9257, 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: 0.9971, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1386.512, usercpu_time_millis: 2.719, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 2.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.9106, kappa: 0.0549, kb_relative_information_score: -853.9321, mean_absolute_error: 0.0964, 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: 0.8132, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.8802, scimark_benchmark: 1379.8673, usercpu_time_millis: 13.624, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 13.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.9063, kb_relative_information_score: -1188.1177, mean_absolute_error: 0.1061, 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: 0.8949, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.9257, scimark_benchmark: 1377.5081, usercpu_time_millis: 5.819, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 5.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.9265, kappa: 0.2595, kb_relative_information_score: -809.3419, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9304, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7897, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.8582, scimark_benchmark: 1383.6468, usercpu_time_millis: 121.159, usercpu_time_millis_testing: 0.948, usercpu_time_millis_training: 120.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -887.131, mean_absolute_error: 0.0974, 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: 0.8215, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.8713, scimark_benchmark: 1384.3136, usercpu_time_millis: 60.099, usercpu_time_millis_testing: 0.929, usercpu_time_millis_training: 59.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.9211, kappa: 0.1838, kb_relative_information_score: -833.9001, mean_absolute_error: 0.0964, 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: 0.8131, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.8623, scimark_benchmark: 1381.8261, usercpu_time_millis: 19.386, usercpu_time_millis_testing: 0.486, usercpu_time_millis_training: 18.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.9063, kb_relative_information_score: -1201.3109, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9177, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.9454, scimark_benchmark: 1376.7283, usercpu_time_millis: 22.222, usercpu_time_millis_testing: 0.732, usercpu_time_millis_training: 21.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1050.0639, 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: 0.8661, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.9067, scimark_benchmark: 1373.7431, usercpu_time_millis: 3.925, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 3.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1082.2975, mean_absolute_error: 0.1013, 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: 0.8538, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.9035, scimark_benchmark: 1380.8394, usercpu_time_millis: 34.251, usercpu_time_millis_testing: 0.549, usercpu_time_millis_training: 33.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.9115, kappa: 0.0658, kb_relative_information_score: -646.3156, mean_absolute_error: 0.0959, 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: 0.8085, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.8653, scimark_benchmark: 1376.388, usercpu_time_millis: 12.093, usercpu_time_millis_testing: 1.2, usercpu_time_millis_training: 10.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -1018.9738, 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: 0.8408, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.217, root_relative_squared_error: 0.8923, scimark_benchmark: 1373.5333, usercpu_time_millis: 71.405, usercpu_time_millis_testing: 0.905, usercpu_time_millis_training: 70.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1153.9279, 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: 0.8674, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.9071, scimark_benchmark: 1374.8847, usercpu_time_millis: 40.324, usercpu_time_millis_testing: 0.455, usercpu_time_millis_training: 39.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.9265, kappa: 0.2595, kb_relative_information_score: -811.1419, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9304, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7858, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.8611, scimark_benchmark: 1376.4776, usercpu_time_millis: 39.67, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 39.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.9063, kb_relative_information_score: 4.715, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1374.6322, usercpu_time_millis: 3.435, usercpu_time_millis_testing: 0.572, usercpu_time_millis_training: 2.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.9063, kb_relative_information_score: -1561.5964, 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: 0.9193, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.231, root_relative_squared_error: 0.9497, scimark_benchmark: 1371.3609, usercpu_time_millis: 28.698, usercpu_time_millis_testing: 0.634, usercpu_time_millis_training: 28.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.925, kappa: 0.2339, kb_relative_information_score: -847.7473, mean_absolute_error: 0.0951, 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: 0.8019, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.8581, scimark_benchmark: 1361.6472, usercpu_time_millis: 7.186, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 7.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.9063, kb_relative_information_score: -1387.0784, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9182, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.9424, scimark_benchmark: 1369.9089, usercpu_time_millis: 1.087, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.9258, kappa: 0.2511, kb_relative_information_score: -591.8305, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9295, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7625, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.8486, scimark_benchmark: 1375.4806, usercpu_time_millis: 57.99, usercpu_time_millis_testing: 1.583, usercpu_time_millis_training: 56.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, f_measure: 0.9063, kb_relative_information_score: -913.0118, 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: 0.9309, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.9542, scimark_benchmark: 1379.434, usercpu_time_millis: 12.954, usercpu_time_millis_testing: 0.723, usercpu_time_millis_training: 12.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.9252, kappa: 0.2476, kb_relative_information_score: -713.0668, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9274, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.778, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.8639, scimark_benchmark: 1381.3114, usercpu_time_millis: 2.685, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 2.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.9296, kappa: 0.3108, kb_relative_information_score: -688.2428, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9286, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7619, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.21, root_relative_squared_error: 0.8635, scimark_benchmark: 1377.8813, usercpu_time_millis: 60.195, usercpu_time_millis_testing: 0.762, usercpu_time_millis_training: 59.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.9063, kb_relative_information_score: -1256.4929, 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: 0.2296, root_relative_squared_error: 0.9442, scimark_benchmark: 1375.0324, usercpu_time_millis: 5.906, usercpu_time_millis_testing: 0.517, usercpu_time_millis_training: 5.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.9244, kappa: 0.2304, kb_relative_information_score: -771.4521, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9305, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7886, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8572, scimark_benchmark: 1370.9773, usercpu_time_millis: 72.654, usercpu_time_millis_testing: 0.844, usercpu_time_millis_training: 71.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.9244, kappa: 0.2304, kb_relative_information_score: -808.9227, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9305, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.791, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.8579, scimark_benchmark: 1375.3522, usercpu_time_millis: 138.891, usercpu_time_millis_testing: 0.867, usercpu_time_millis_training: 138.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.9063, kb_relative_information_score: -1582.0776, 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: 0.9214, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.9512, scimark_benchmark: 1378.6296, usercpu_time_millis: 58.927, usercpu_time_millis_testing: 0.631, usercpu_time_millis_training: 58.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.9227, kappa: 0.2069, kb_relative_information_score: -685.5403, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9306, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7807, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.8638, scimark_benchmark: 1383.8812, usercpu_time_millis: 42.588, usercpu_time_millis_testing: 0.929, usercpu_time_millis_training: 41.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.9063, kb_relative_information_score: -1356.5838, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9099, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.934, scimark_benchmark: 1380.9439, usercpu_time_millis: 32.041, usercpu_time_millis_testing: 0.746, usercpu_time_millis_training: 31.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.9169, kappa: 0.1291, kb_relative_information_score: -694.845, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.936, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.8098, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.8598, scimark_benchmark: 1380.0165, usercpu_time_millis: 10.428, usercpu_time_millis_testing: 0.993, usercpu_time_millis_training: 9.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.9157, kappa: 0.1175, kb_relative_information_score: -674.7189, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9311, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.8009, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.8624, scimark_benchmark: 1375.8975, usercpu_time_millis: 7.945, usercpu_time_millis_testing: 0.629, usercpu_time_millis_training: 7.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.9235, kappa: 0.2119, kb_relative_information_score: -739.2621, mean_absolute_error: 0.0951, 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: 0.8016, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8557, scimark_benchmark: 1367.5929, usercpu_time_millis: 27.172, usercpu_time_millis_testing: 1, usercpu_time_millis_training: 26.172,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.925, kappa: 0.2339, kb_relative_information_score: -713.8634, mean_absolute_error: 0.0936, 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: 0.789, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.8536, scimark_benchmark: 1377.7188, usercpu_time_millis: 27.254, usercpu_time_millis_testing: 0.541, usercpu_time_millis_training: 26.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.9157, kappa: 0.1175, kb_relative_information_score: -792.0781, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9311, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.8735, scimark_benchmark: 1378.3216, usercpu_time_millis: 27.662, usercpu_time_millis_testing: 0.503, usercpu_time_millis_training: 27.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.9237, kappa: 0.2176, kb_relative_information_score: -799.2834, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9331, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.8678, scimark_benchmark: 1379.5845, usercpu_time_millis: 27.081, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 26.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -1064.7882, mean_absolute_error: 0.1012, 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: 0.8536, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.8934, scimark_benchmark: 1395.5471, usercpu_time_millis: 71.846, usercpu_time_millis_testing: 0.877, usercpu_time_millis_training: 70.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.9267, kappa: 0.2565, kb_relative_information_score: -643.0073, mean_absolute_error: 0.092, 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: 0.7759, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.8436, scimark_benchmark: 1378.1563, usercpu_time_millis: 39.542, usercpu_time_millis_testing: 1.132, usercpu_time_millis_training: 38.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.9063, kb_relative_information_score: -1094.3919, 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: 0.9334, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.9535, scimark_benchmark: 1374.0823, usercpu_time_millis: 2.774, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 2.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.9267, kappa: 0.2565, kb_relative_information_score: -765.2174, mean_absolute_error: 0.0933, 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: 0.7866, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.8547, scimark_benchmark: 1374.0403, usercpu_time_millis: 29.406, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 29.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.9262, kappa: 0.2497, kb_relative_information_score: -647.0358, mean_absolute_error: 0.0925, 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: 0.7801, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.8461, scimark_benchmark: 1373.1678, usercpu_time_millis: 43.378, usercpu_time_millis_testing: 1.548, usercpu_time_millis_training: 41.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.9063, kb_relative_information_score: -1403.7561, mean_absolute_error: 0.1067, 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: 0.8999, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.9359, scimark_benchmark: 1383.5967, usercpu_time_millis: 16.841, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 16.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.9131, kappa: 0.0861, kb_relative_information_score: -1123.4964, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9263, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8677, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.218, root_relative_squared_error: 0.8963, scimark_benchmark: 1375.7842, usercpu_time_millis: 5.931, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 5.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.9194, kappa: 0.1593, kb_relative_information_score: -657.5143, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9386, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7943, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.8606, scimark_benchmark: 1385.3373, usercpu_time_millis: 1.879, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 1.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.9254, kappa: 0.2443, kb_relative_information_score: -775.1703, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9298, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7856, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.8561, scimark_benchmark: 1370.6549, usercpu_time_millis: 74.379, usercpu_time_millis_testing: 0.635, usercpu_time_millis_training: 73.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: -0.9381, 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: 1377.3322, usercpu_time_millis: 3.135, usercpu_time_millis_testing: 0.425, usercpu_time_millis_training: 2.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.9243, kappa: 0.2211, kb_relative_information_score: -640.6592, mean_absolute_error: 0.0932, 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: 0.7854, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.8483, scimark_benchmark: 1369.0179, usercpu_time_millis: 21.024, usercpu_time_millis_testing: 1.181, usercpu_time_millis_training: 19.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.9265, kappa: 0.2595, kb_relative_information_score: -619.8456, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9304, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.8521, scimark_benchmark: 1373.0131, usercpu_time_millis: 15.524, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 15.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.9259, kappa: 0.2479, kb_relative_information_score: -590.5466, mean_absolute_error: 0.0913, 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: 0.7701, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.8445, scimark_benchmark: 1375.1603, usercpu_time_millis: 7.329, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 6.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.9063, kb_relative_information_score: -1137.2826, mean_absolute_error: 0.1057, 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: 0.8908, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.9241, scimark_benchmark: 1378.8451, usercpu_time_millis: 6.936, usercpu_time_millis_testing: 0.464, usercpu_time_millis_training: 6.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9268, kappa: 0.2533, kb_relative_information_score: -658.502, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9364, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7843, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.8521, scimark_benchmark: 1371.1676, usercpu_time_millis: 27.609, usercpu_time_millis_testing: 0.774, usercpu_time_millis_training: 26.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1748.4265, mean_absolute_error: 0.11, 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: 0.9271, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.9607, scimark_benchmark: 1374.3545, usercpu_time_millis: 21.063, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 20.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -1096.9084, mean_absolute_error: 0.1037, 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: 0.8745, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.9011, scimark_benchmark: 1371.2077, usercpu_time_millis: 16.449, usercpu_time_millis_testing: 0.831, usercpu_time_millis_training: 15.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.9234, kappa: 0.2159, kb_relative_information_score: -864.1749, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9315, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.8631, scimark_benchmark: 1374.3403, usercpu_time_millis: 8.376, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 8.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.9063, kb_relative_information_score: -1410.1174, 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: 0.9031, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.9357, scimark_benchmark: 1371.3987, usercpu_time_millis: 7.524, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 7.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -993.3834, mean_absolute_error: 0.1008, 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: 0.8501, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.8912, scimark_benchmark: 1371.5254, usercpu_time_millis: 1.394, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 1.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.9063, kb_relative_information_score: -1520.1194, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9223, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.9517, scimark_benchmark: 1373.8917, usercpu_time_millis: 1.881, usercpu_time_millis_testing: 0.221, usercpu_time_millis_training: 1.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.9257, kappa: 0.2427, kb_relative_information_score: -728.7618, mean_absolute_error: 0.0937, 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: 0.7899, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.853, scimark_benchmark: 1706.154, usercpu_time_millis: 15.458, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 15.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.9082, kappa: 0.0232, kb_relative_information_score: -1305.7551, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9415, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.926, scimark_benchmark: 1749.2737, usercpu_time_millis: 13.248, usercpu_time_millis_testing: 0.45, usercpu_time_millis_training: 12.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.9281, kappa: 0.3017, kb_relative_information_score: -823.7661, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9256, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.7749, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.8929, scimark_benchmark: 1370.2526, usercpu_time_millis: 230.539, usercpu_time_millis_testing: 2.049, usercpu_time_millis_training: 228.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.9253, kappa: 0.232, kb_relative_information_score: -808.0557, mean_absolute_error: 0.0955, 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: 0.8054, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.8565, scimark_benchmark: 1370.7152, usercpu_time_millis: 47.043, usercpu_time_millis_testing: 1.203, usercpu_time_millis_training: 45.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.929, kappa: 0.2863, kb_relative_information_score: -803.3784, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9339, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7868, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.8565, scimark_benchmark: 1368.8094, usercpu_time_millis: 94.931, usercpu_time_millis_testing: 0.639, usercpu_time_millis_training: 94.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.9127, kappa: 0.0778, kb_relative_information_score: -951.2462, mean_absolute_error: 0.0978, 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: 0.825, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.8814, scimark_benchmark: 1373.2316, usercpu_time_millis: 178.367, usercpu_time_millis_testing: 1.438, usercpu_time_millis_training: 176.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.9308, kappa: 0.3221, kb_relative_information_score: -728.3643, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9306, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7625, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.8645, scimark_benchmark: 1349.8305, usercpu_time_millis: 64.715, usercpu_time_millis_testing: 0.617, usercpu_time_millis_training: 64.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.9059, kappa: -0.0016, kb_relative_information_score: -1033.8145, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9361, prior_entropy: 0.3411, recall: 0.9361, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.9032, scimark_benchmark: 1370.7733, usercpu_time_millis: 92.682, usercpu_time_millis_testing: 1.28, usercpu_time_millis_training: 91.402,

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