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: 0.8686, f_measure: 0.9122, kappa: 0.0755, kb_relative_information_score: -1099.2446, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9243, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.8589, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.8933, scimark_benchmark: 1851.8567, usercpu_time_millis: 3.788, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 3.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.9063, kb_relative_information_score: -760.4624, mean_absolute_error: 0.1138, 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: 0.9595, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.9678, scimark_benchmark: 1835.1671, usercpu_time_millis: 4.47, usercpu_time_millis_testing: 0.71, usercpu_time_millis_training: 3.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -685.3608, mean_absolute_error: 0.097, 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: 0.818, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.871, scimark_benchmark: 1770.9279, usercpu_time_millis: 2.703, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 2.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.9063, kb_relative_information_score: -1400.4063, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9255, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.9511, scimark_benchmark: 1843.1989, usercpu_time_millis: 5.409, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 5.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1038.2387, mean_absolute_error: 0.1033, 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: 0.8708, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.9091, scimark_benchmark: 1839.4069, usercpu_time_millis: 3.458, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 3.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.9227, kappa: 0.2026, kb_relative_information_score: -863.2332, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9351, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.8121, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.8686, scimark_benchmark: 1845.7061, usercpu_time_millis: 115.655, usercpu_time_millis_testing: 1.429, usercpu_time_millis_training: 114.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.925, kappa: 0.2339, kb_relative_information_score: -808.1831, mean_absolute_error: 0.0939, 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: 0.7917, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.8607, scimark_benchmark: 1844.1673, usercpu_time_millis: 81.979, usercpu_time_millis_testing: 0.928, usercpu_time_millis_training: 81.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.927, kappa: 0.2734, kb_relative_information_score: -631.6005, mean_absolute_error: 0.0903, 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: 0.7612, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8525, scimark_benchmark: 1851.8567, usercpu_time_millis: 77.561, usercpu_time_millis_testing: 1.897, usercpu_time_millis_training: 75.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.9239, kappa: 0.2232, kb_relative_information_score: -838.6911, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9309, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.8006, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.8654, scimark_benchmark: 1855.4813, usercpu_time_millis: 73.626, usercpu_time_millis_testing: 0.886, usercpu_time_millis_training: 72.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8243, f_measure: 0.9063, kb_relative_information_score: -1570.8957, 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: 0.9222, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.951, scimark_benchmark: 1853.9849, usercpu_time_millis: 49.178, usercpu_time_millis_testing: 0.998, usercpu_time_millis_training: 48.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -959.2686, mean_absolute_error: 0.0993, 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: 0.8371, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.8872, scimark_benchmark: 1851.3986, usercpu_time_millis: 39.515, usercpu_time_millis_testing: 0.953, usercpu_time_millis_training: 38.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.9059, kappa: -0.0016, kb_relative_information_score: -1873.709, mean_absolute_error: 0.1105, 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: 0.9318, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2351, root_relative_squared_error: 0.9666, scimark_benchmark: 1852.7764, usercpu_time_millis: 35.416, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 34.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.9272, kappa: 0.2752, kb_relative_information_score: -581.1213, mean_absolute_error: 0.0897, 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: 0.7567, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.206, root_relative_squared_error: 0.8469, scimark_benchmark: 1904.1644, usercpu_time_millis: 36.239, usercpu_time_millis_testing: 1.311, usercpu_time_millis_training: 34.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1126.6629, mean_absolute_error: 0.1031, 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: 0.8693, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.9093, scimark_benchmark: 1842.6679, usercpu_time_millis: 29.675, usercpu_time_millis_testing: 0.878, usercpu_time_millis_training: 28.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.9232, kappa: 0.2143, kb_relative_information_score: -769.3324, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.93, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7974, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.8651, scimark_benchmark: 1854.1194, usercpu_time_millis: 30.227, usercpu_time_millis_testing: 0.508, usercpu_time_millis_training: 29.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -904.8649, mean_absolute_error: 0.0984, 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: 0.83, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.8804, scimark_benchmark: 1836.0792, usercpu_time_millis: 27.984, usercpu_time_millis_testing: 1.053, usercpu_time_millis_training: 26.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.9138, kappa: 0.0955, kb_relative_information_score: -986.4941, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9245, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8426, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.8803, scimark_benchmark: 1855.5541, usercpu_time_millis: 25.217, usercpu_time_millis_testing: 0.596, usercpu_time_millis_training: 24.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -699.5511, mean_absolute_error: 0.0958, 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: 0.8076, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.8609, scimark_benchmark: 1839.0605, usercpu_time_millis: 19.887, usercpu_time_millis_testing: 1.927, usercpu_time_millis_training: 17.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.9104, kappa: 0.0538, kb_relative_information_score: -1194.0764, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9188, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8817, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.9071, scimark_benchmark: 1856.0123, usercpu_time_millis: 25.89, usercpu_time_millis_testing: 0.694, usercpu_time_millis_training: 25.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.9271, kappa: 0.2552, kb_relative_information_score: -547.5821, mean_absolute_error: 0.0905, 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: 0.763, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.8426, scimark_benchmark: 1836.6101, usercpu_time_millis: 13.035, usercpu_time_millis_testing: 1.034, usercpu_time_millis_training: 12.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -846.0098, mean_absolute_error: 0.0977, 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: 0.824, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.8694, scimark_benchmark: 1839.5885, usercpu_time_millis: 10.881, usercpu_time_millis_testing: 0.549, usercpu_time_millis_training: 10.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.9063, kb_relative_information_score: -1462.3513, 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: 0.9226, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.9495, scimark_benchmark: 1853.9121, usercpu_time_millis: 11.942, usercpu_time_millis_testing: 0.649, usercpu_time_millis_training: 11.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.9136, kappa: 0.0885, kb_relative_information_score: -703.1371, mean_absolute_error: 0.0976, 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: 0.823, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.8714, scimark_benchmark: 1844.2371, usercpu_time_millis: 8.016, usercpu_time_millis_testing: 0.851, usercpu_time_millis_training: 7.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.9164, kappa: 0.1263, kb_relative_information_score: -872.5934, mean_absolute_error: 0.098, 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: 0.8264, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.8734, scimark_benchmark: 1902.596, usercpu_time_millis: 8.881, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 8.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.9229, kappa: 0.2085, kb_relative_information_score: -750.6463, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9323, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7934, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.8601, scimark_benchmark: 1853.454, usercpu_time_millis: 5.889, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 5.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.9238, kappa: 0.2136, kb_relative_information_score: -669.5662, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.938, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7936, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.8599, scimark_benchmark: 1854.9533, usercpu_time_millis: 6.495, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 6.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -1190.3472, mean_absolute_error: 0.1087, 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: 0.9167, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.9402, scimark_benchmark: 1844.2371, usercpu_time_millis: 1.715, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 1.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -823.1157, mean_absolute_error: 0.0977, 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: 0.8237, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.8695, scimark_benchmark: 1903.8433, usercpu_time_millis: 5.835, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 5.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.9247, kappa: 0.2321, kb_relative_information_score: -622.8969, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9318, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7734, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8522, scimark_benchmark: 1836.0792, usercpu_time_millis: 3.045, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 2.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -1059.7239, 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: 0.8491, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.218, root_relative_squared_error: 0.8961, scimark_benchmark: 1859.1356, usercpu_time_millis: 2.207, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 2.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: 0.9718, 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: 0.9973, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1846.6923, usercpu_time_millis: 1.835, usercpu_time_millis_testing: 0.242, usercpu_time_millis_training: 1.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -747.3161, mean_absolute_error: 0.0975, 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: 0.8217, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.8755, scimark_benchmark: 1835.1658, usercpu_time_millis: 1.353, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 1.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.9241, kappa: 0.2287, kb_relative_information_score: -813.383, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9292, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8703, scimark_benchmark: 1834.1823, usercpu_time_millis: 2.497, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 2.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9063, kb_relative_information_score: 4.8028, mean_absolute_error: 0.1181, 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: 0.9954, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1855.4813, usercpu_time_millis: 0.908, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 0.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: 1.1657, 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: 0.9974, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1899.2345, usercpu_time_millis: 2.019, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 1.743,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.9242, kappa: 0.225, kb_relative_information_score: -728.4431, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9324, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7922, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8571, scimark_benchmark: 1852.0126, usercpu_time_millis: 55.527, usercpu_time_millis_testing: 1.877, usercpu_time_millis_training: 53.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.9235, kappa: 0.2119, kb_relative_information_score: -838.1719, mean_absolute_error: 0.0953, 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: 0.8032, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.21, root_relative_squared_error: 0.8635, scimark_benchmark: 1897.2761, usercpu_time_millis: 50.791, usercpu_time_millis_testing: 0.531, usercpu_time_millis_training: 50.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.9247, kappa: 0.2321, kb_relative_information_score: -807.2729, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9318, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7954, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.859, scimark_benchmark: 1815.0712, usercpu_time_millis: 40.554, usercpu_time_millis_testing: 0.604, usercpu_time_millis_training: 39.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -900.6471, mean_absolute_error: 0.0978, 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: 0.8246, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.8808, scimark_benchmark: 1813.8969, usercpu_time_millis: 37.621, usercpu_time_millis_testing: 0.724, usercpu_time_millis_training: 36.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.9295, kappa: 0.2968, kb_relative_information_score: -691.9705, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9324, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7697, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.209, root_relative_squared_error: 0.8594, scimark_benchmark: 1815.5992, usercpu_time_millis: 33.139, usercpu_time_millis_testing: 0.494, usercpu_time_millis_training: 32.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.9255, kappa: 0.2493, kb_relative_information_score: -719.0223, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9285, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7752, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.209, root_relative_squared_error: 0.8594, scimark_benchmark: 1902.5426, usercpu_time_millis: 35.388, usercpu_time_millis_testing: 0.578, usercpu_time_millis_training: 34.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.9181, kappa: 0.1464, kb_relative_information_score: -875.008, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9316, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.8734, scimark_benchmark: 1818.9456, usercpu_time_millis: 26.167, usercpu_time_millis_testing: 0.479, usercpu_time_millis_training: 25.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.9265, kappa: 0.2595, kb_relative_information_score: -680.654, mean_absolute_error: 0.0916, 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: 0.772, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8541, scimark_benchmark: 1821.405, usercpu_time_millis: 24.539, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 24.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1124.0281, 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: 0.8588, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.9099, scimark_benchmark: 1852.9259, usercpu_time_millis: 19.611, usercpu_time_millis_testing: 0.453, usercpu_time_millis_training: 19.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.9149, kappa: 0.1071, kb_relative_information_score: -824.0838, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9297, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.8307, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.8762, scimark_benchmark: 1853.9121, usercpu_time_millis: 16.937, usercpu_time_millis_testing: 1.027, usercpu_time_millis_training: 15.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, f_measure: 0.9063, kb_relative_information_score: -1341.9179, mean_absolute_error: 0.107, 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: 0.9024, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.9326, scimark_benchmark: 1818.4176, usercpu_time_millis: 18.753, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 18.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -950.7908, mean_absolute_error: 0.1005, 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: 0.8473, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.8874, scimark_benchmark: 1818.4874, usercpu_time_millis: 19.616, usercpu_time_millis_testing: 0.934, usercpu_time_millis_training: 18.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.9267, kappa: 0.2565, kb_relative_information_score: -752.5665, mean_absolute_error: 0.0931, 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: 0.7851, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.8537, scimark_benchmark: 1816.6404, usercpu_time_millis: 19.957, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 19.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1147.2052, 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: 0.8653, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.9139, scimark_benchmark: 1900.0256, usercpu_time_millis: 17.541, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 17.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -921.7195, mean_absolute_error: 0.0998, 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: 0.841, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.886, scimark_benchmark: 1858.6775, usercpu_time_millis: 11.376, usercpu_time_millis_testing: 0.624, usercpu_time_millis_training: 10.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.9063, kb_relative_information_score: -1298.1359, 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: 0.9261, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.9491, scimark_benchmark: 1815.5992, usercpu_time_millis: 9.07, usercpu_time_millis_testing: 0.857, usercpu_time_millis_training: 8.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.9169, kappa: 0.1291, kb_relative_information_score: -696.2726, mean_absolute_error: 0.0959, 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: 0.8089, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.862, scimark_benchmark: 1821.4062, usercpu_time_millis: 8.25, usercpu_time_millis_testing: 0.898, usercpu_time_millis_training: 7.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.9142, kappa: 0.0979, kb_relative_information_score: -673.055, mean_absolute_error: 0.0958, 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: 0.8075, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.8647, scimark_benchmark: 1822.8493, usercpu_time_millis: 8.215, usercpu_time_millis_testing: 0.901, usercpu_time_millis_training: 7.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -979.9487, mean_absolute_error: 0.0995, 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: 0.8389, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.215, root_relative_squared_error: 0.884, scimark_benchmark: 1904.3941, usercpu_time_millis: 8.976, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 8.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: 1.6905, 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: 0.9981, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1850.2875, usercpu_time_millis: 3.432, usercpu_time_millis_testing: 0.478, usercpu_time_millis_training: 2.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: 3.6415, 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: 0.9973, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1820.5148, usercpu_time_millis: 4.211, usercpu_time_millis_testing: 0.638, usercpu_time_millis_training: 3.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.9063, kb_relative_information_score: 3.7556, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1850.8185, usercpu_time_millis: 3.864, usercpu_time_millis_testing: 0.614, usercpu_time_millis_training: 3.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.9255, kappa: 0.2409, kb_relative_information_score: -804.1313, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9327, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7956, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.8682, scimark_benchmark: 1900.5536, usercpu_time_millis: 5.742, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 5.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9063, kb_relative_information_score: 2.534, 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: 0.9967, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1849.8294, usercpu_time_millis: 1.553, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 1.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.9063, kb_relative_information_score: -1237.458, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8816, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.9194, scimark_benchmark: 1818.9456, usercpu_time_millis: 2.113, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 2.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.9063, kb_relative_information_score: -1422.4977, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.9549, scimark_benchmark: 1823.4294, usercpu_time_millis: 1.129, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 1.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.9177, kappa: 0.1543, kb_relative_information_score: -852.9534, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9191, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.215, root_relative_squared_error: 0.8839, scimark_benchmark: 1856.7109, usercpu_time_millis: 150.403, usercpu_time_millis_testing: 1.364, usercpu_time_millis_training: 149.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.9069, kappa: 0.01, kb_relative_information_score: -1052.2518, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8991, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8373, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.22, root_relative_squared_error: 0.9046, scimark_benchmark: 1853.5148, usercpu_time_millis: 97.998, usercpu_time_millis_testing: 1.047, usercpu_time_millis_training: 96.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.9299, kappa: 0.3028, kb_relative_information_score: -771.6351, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9323, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7757, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.8643, scimark_benchmark: 1852.4707, usercpu_time_millis: 90.71, usercpu_time_millis_testing: 0.977, usercpu_time_millis_training: 89.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.927, kappa: 0.2661, kb_relative_information_score: -718.6609, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9302, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7739, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8575, scimark_benchmark: 1851.8567, usercpu_time_millis: 61.579, usercpu_time_millis_testing: 0.981, usercpu_time_millis_training: 60.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -1123.372, mean_absolute_error: 0.1022, 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: 0.8613, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.9, scimark_benchmark: 1850.8185, usercpu_time_millis: 46.687, usercpu_time_millis_testing: 0.587, usercpu_time_millis_training: 46.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -977.5335, mean_absolute_error: 0.0992, 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: 0.836, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.8865, scimark_benchmark: 1853.9121, usercpu_time_millis: 47.677, usercpu_time_millis_testing: 1.081, usercpu_time_millis_training: 46.596,

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