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: 0.9, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -854.9963, 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: 0.8393, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.8816, scimark_benchmark: 1260.2102, usercpu_time_millis: 44.196, usercpu_time_millis_testing: 3.061, usercpu_time_millis_training: 41.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -957.448, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8425, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.8927, scimark_benchmark: 1262.0856, usercpu_time_millis: 39.787, usercpu_time_millis_testing: 2.015, usercpu_time_millis_training: 37.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.9164, kappa: 0.1263, kb_relative_information_score: -694.08, mean_absolute_error: 0.0945, 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: 0.7965, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.8637, scimark_benchmark: 1265.4515, usercpu_time_millis: 36.381, usercpu_time_millis_testing: 2.658, usercpu_time_millis_training: 33.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -747.5405, mean_absolute_error: 0.0985, 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: 0.8307, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.8733, scimark_benchmark: 1267.4282, usercpu_time_millis: 34.866, usercpu_time_millis_testing: 3.195, usercpu_time_millis_training: 31.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.9238, kappa: 0.2136, kb_relative_information_score: -662.4889, mean_absolute_error: 0.0943, 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: 0.7954, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8525, scimark_benchmark: 1249.2528, usercpu_time_millis: 119.95, usercpu_time_millis_testing: 7.009, usercpu_time_millis_training: 112.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -841.7419, mean_absolute_error: 0.101, 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: 0.8513, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.8933, scimark_benchmark: 1266.4099, usercpu_time_millis: 28.338, usercpu_time_millis_testing: 2.813, usercpu_time_millis_training: 25.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.9253, kappa: 0.2356, kb_relative_information_score: -603.9133, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9348, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.773, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.8475, scimark_benchmark: 1271.0819, usercpu_time_millis: 19.708, usercpu_time_millis_testing: 1.043, usercpu_time_millis_training: 18.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -962.2343, mean_absolute_error: 0.1029, 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: 0.8679, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.8985, scimark_benchmark: 1259.2314, usercpu_time_millis: 19.767, usercpu_time_millis_testing: 1.554, usercpu_time_millis_training: 18.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1025.4781, mean_absolute_error: 0.1034, 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: 0.8717, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.909, scimark_benchmark: 1274.2805, usercpu_time_millis: 17.35, usercpu_time_millis_testing: 1.106, usercpu_time_millis_training: 16.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.9063, kb_relative_information_score: -1194.5577, mean_absolute_error: 0.1088, 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: 0.9171, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.229, root_relative_squared_error: 0.9417, scimark_benchmark: 1254.3089, usercpu_time_millis: 15.873, usercpu_time_millis_testing: 1.452, usercpu_time_millis_training: 14.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.9063, kb_relative_information_score: -962.946, mean_absolute_error: 0.1037, 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: 0.8747, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.9058, scimark_benchmark: 1273.5857, usercpu_time_millis: 9.659, usercpu_time_millis_testing: 0.913, usercpu_time_millis_training: 8.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8836, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1080.7245, mean_absolute_error: 0.1053, 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: 0.8876, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.9197, scimark_benchmark: 1262.0162, usercpu_time_millis: 8.431, usercpu_time_millis_testing: 0.554, usercpu_time_millis_training: 7.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -655.5812, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9292, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8099, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.8668, scimark_benchmark: 1273.0389, usercpu_time_millis: 70.147, usercpu_time_millis_testing: 6.224, usercpu_time_millis_training: 63.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.9289, kappa: 0.2819, kb_relative_information_score: -549.482, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9354, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7595, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.84, scimark_benchmark: 1267.3633, usercpu_time_millis: 161.018, usercpu_time_millis_testing: 9.475, usercpu_time_millis_training: 151.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.9235, kappa: 0.2119, kb_relative_information_score: -641.6782, mean_absolute_error: 0.0935, 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: 0.7886, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.85, scimark_benchmark: 1257.4268, usercpu_time_millis: 81.388, usercpu_time_millis_testing: 4.768, usercpu_time_millis_training: 76.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1085.384, 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: 0.8695, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.911, scimark_benchmark: 1254.972, usercpu_time_millis: 52.421, usercpu_time_millis_testing: 3.424, usercpu_time_millis_training: 48.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -628.0127, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9364, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.791, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.8515, scimark_benchmark: 1270.2497, usercpu_time_millis: 35.238, usercpu_time_millis_testing: 2.432, usercpu_time_millis_training: 32.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -758.7532, 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: 0.8292, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.8746, scimark_benchmark: 1262.0246, usercpu_time_millis: 43.81, usercpu_time_millis_testing: 3.695, usercpu_time_millis_training: 40.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.9127, kappa: 0.0778, kb_relative_information_score: -702.6479, mean_absolute_error: 0.0969, 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: 0.817, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.8667, scimark_benchmark: 1276.3125, usercpu_time_millis: 39.82, usercpu_time_millis_testing: 4.093, usercpu_time_millis_training: 35.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.9063, kb_relative_information_score: -1015.633, 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: 0.9236, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.943, scimark_benchmark: 1272.7049, usercpu_time_millis: 36.349, usercpu_time_millis_testing: 3.955, usercpu_time_millis_training: 32.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.9258, kappa: 0.2511, kb_relative_information_score: -600.0087, mean_absolute_error: 0.0906, 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: 0.764, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.8455, scimark_benchmark: 1279.0192, usercpu_time_millis: 19.153, usercpu_time_millis_testing: 0.986, usercpu_time_millis_training: 18.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.9063, kb_relative_information_score: -997.973, 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: 0.9353, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.9517, scimark_benchmark: 1273.0363, usercpu_time_millis: 8.883, usercpu_time_millis_testing: 0.868, usercpu_time_millis_training: 8.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.9271, kappa: 0.2552, kb_relative_information_score: -633.4051, mean_absolute_error: 0.0926, 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: 0.7806, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.8461, scimark_benchmark: 1260.0867, usercpu_time_millis: 103.623, usercpu_time_millis_testing: 4.555, usercpu_time_millis_training: 99.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -797.7273, mean_absolute_error: 0.0981, 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: 0.8269, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.8737, scimark_benchmark: 1273.3765, usercpu_time_millis: 53.92, usercpu_time_millis_testing: 3.472, usercpu_time_millis_training: 50.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.9238, kappa: 0.2136, kb_relative_information_score: -676.518, mean_absolute_error: 0.0943, 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: 0.7947, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8526, scimark_benchmark: 1263.7799, usercpu_time_millis: 44.005, usercpu_time_millis_testing: 2.781, usercpu_time_millis_training: 41.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, f_measure: 0.9063, kb_relative_information_score: -954.8009, mean_absolute_error: 0.105, 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: 0.8852, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.223, root_relative_squared_error: 0.9167, scimark_benchmark: 1262.4532, usercpu_time_millis: 12.554, usercpu_time_millis_testing: 1.465, usercpu_time_millis_training: 11.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.9063, kb_relative_information_score: -856.3646, mean_absolute_error: 0.1028, 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: 0.8667, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.22, root_relative_squared_error: 0.9044, scimark_benchmark: 1274.372, usercpu_time_millis: 7.734, usercpu_time_millis_testing: 0.702, usercpu_time_millis_training: 7.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.9063, kb_relative_information_score: -1106.125, mean_absolute_error: 0.105, 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: 0.8853, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.9186, scimark_benchmark: 1274.8029, usercpu_time_millis: 59.647, usercpu_time_millis_testing: 3.538, usercpu_time_millis_training: 56.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.9063, kb_relative_information_score: -917.277, mean_absolute_error: 0.1037, 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: 0.874, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.9081, scimark_benchmark: 1263.4907, usercpu_time_millis: 54.986, usercpu_time_millis_testing: 5.216, usercpu_time_millis_training: 49.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.9063, kb_relative_information_score: -1329.6819, mean_absolute_error: 0.1086, 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: 0.9154, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.9426, scimark_benchmark: 1263.1538, usercpu_time_millis: 8.597, usercpu_time_millis_testing: 0.543, usercpu_time_millis_training: 8.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.9082, kappa: 0.0232, kb_relative_information_score: -680.8819, mean_absolute_error: 0.0977, 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: 0.8237, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.8754, scimark_benchmark: 1276.6707, usercpu_time_millis: 50.76, usercpu_time_millis_testing: 4.926, usercpu_time_millis_training: 45.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.9063, kb_relative_information_score: -1007.0204, mean_absolute_error: 0.106, 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: 0.8935, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.9223, scimark_benchmark: 1233.7325, usercpu_time_millis: 47.764, usercpu_time_millis_testing: 4.663, usercpu_time_millis_training: 43.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.9211, kappa: 0.1838, kb_relative_information_score: -673.4273, mean_absolute_error: 0.0941, 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: 0.7931, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8527, scimark_benchmark: 1256.7503, usercpu_time_millis: 40.665, usercpu_time_millis_testing: 2.446, usercpu_time_millis_training: 38.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.9063, kb_relative_information_score: -1098.7309, 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: 0.9115, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.9366, scimark_benchmark: 1256.3063, usercpu_time_millis: 39.289, usercpu_time_millis_testing: 3.699, usercpu_time_millis_training: 35.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.9063, kb_relative_information_score: -901.3718, mean_absolute_error: 0.1037, 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: 0.8744, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.9073, scimark_benchmark: 1272.746, usercpu_time_millis: 37.537, usercpu_time_millis_testing: 3.501, usercpu_time_millis_training: 34.036,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.9063, kb_relative_information_score: -939.6252, mean_absolute_error: 0.1108, 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: 0.9337, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.953, scimark_benchmark: 1264.5442, usercpu_time_millis: 10.482, usercpu_time_millis_testing: 1.053, usercpu_time_millis_training: 9.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.9195, kappa: 0.1646, kb_relative_information_score: -671.9108, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9313, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.7894, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.8613, scimark_benchmark: 1265.1327, usercpu_time_millis: 128.077, usercpu_time_millis_testing: 6.168, usercpu_time_millis_training: 121.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8276, f_measure: 0.9063, kb_relative_information_score: -1165.6862, 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: 0.9299, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.9514, scimark_benchmark: 1254.4089, usercpu_time_millis: 31.951, usercpu_time_millis_testing: 2.812, usercpu_time_millis_training: 29.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -880.1287, mean_absolute_error: 0.1019, 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: 0.8587, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.8944, scimark_benchmark: 1277.721, usercpu_time_millis: 13.396, usercpu_time_millis_testing: 1.117, usercpu_time_millis_training: 12.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.9063, kb_relative_information_score: -1109.8034, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8951, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.9241, scimark_benchmark: 1243.7075, usercpu_time_millis: 43.142, usercpu_time_millis_testing: 3.602, usercpu_time_millis_training: 39.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.9063, kb_relative_information_score: -1082.5251, mean_absolute_error: 0.1077, 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: 0.9077, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.227, root_relative_squared_error: 0.9333, scimark_benchmark: 1265.9493, usercpu_time_millis: 46.747, usercpu_time_millis_testing: 3.889, usercpu_time_millis_training: 42.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.9142, kappa: 0.0979, kb_relative_information_score: -813.4782, 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: 0.8074, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.8836, scimark_benchmark: 1273.3399, usercpu_time_millis: 3.379, usercpu_time_millis_testing: 0.256, usercpu_time_millis_training: 3.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.9063, kb_relative_information_score: -1105.0325, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8922, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.9231, scimark_benchmark: 1270.0671, usercpu_time_millis: 23.014, usercpu_time_millis_testing: 1.673, usercpu_time_millis_training: 21.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.9063, kb_relative_information_score: -980.5478, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8754, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.221, root_relative_squared_error: 0.9086, scimark_benchmark: 1249.5972, usercpu_time_millis: 18.57, usercpu_time_millis_testing: 1.66, usercpu_time_millis_training: 16.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.9283, kappa: 0.2781, kb_relative_information_score: -547.9801, mean_absolute_error: 0.0898, 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: 0.7574, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.8432, scimark_benchmark: 1279.119, usercpu_time_millis: 123.458, usercpu_time_millis_testing: 5.433, usercpu_time_millis_training: 118.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -963.5596, 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: 0.8475, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.8955, scimark_benchmark: 1270.0166, usercpu_time_millis: 73.82, usercpu_time_millis_testing: 4.996, usercpu_time_millis_training: 68.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.9063, kb_relative_information_score: -1179.3613, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.9437, scimark_benchmark: 1271.6175, usercpu_time_millis: 14.77, usercpu_time_millis_testing: 1.237, usercpu_time_millis_training: 13.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -860.2118, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8351, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.214, root_relative_squared_error: 0.88, scimark_benchmark: 1249.9992, usercpu_time_millis: 13.233, usercpu_time_millis_testing: 0.883, usercpu_time_millis_training: 12.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.9063, kb_relative_information_score: -878.3089, mean_absolute_error: 0.1129, 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: 0.9515, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.9628, scimark_benchmark: 1268.3953, usercpu_time_millis: 7.318, usercpu_time_millis_testing: 0.755, usercpu_time_millis_training: 6.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.9262, kappa: 0.2497, kb_relative_information_score: -583.7953, mean_absolute_error: 0.0916, 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: 0.7723, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.8443, scimark_benchmark: 1271.2592, usercpu_time_millis: 65.277, usercpu_time_millis_testing: 3.27, usercpu_time_millis_training: 62.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -890.2309, 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: 0.2173, root_relative_squared_error: 0.8935, scimark_benchmark: 1250.6584, usercpu_time_millis: 62.131, usercpu_time_millis_testing: 5.154, usercpu_time_millis_training: 56.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1038.5336, mean_absolute_error: 0.103, 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: 0.8681, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.9071, scimark_benchmark: 1272.7124, usercpu_time_millis: 57.285, usercpu_time_millis_testing: 3.905, usercpu_time_millis_training: 53.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.9214, kappa: 0.1854, kb_relative_information_score: -680.0668, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9356, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.8014, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.8562, scimark_benchmark: 1267.6437, usercpu_time_millis: 43.389, usercpu_time_millis_testing: 2.864, usercpu_time_millis_training: 40.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -627.4046, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.792, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8524, scimark_benchmark: 1257.8098, usercpu_time_millis: 100.714, usercpu_time_millis_testing: 5.991, usercpu_time_millis_training: 94.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.9133, kappa: 0.0873, kb_relative_information_score: -703.3191, mean_absolute_error: 0.0951, 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: 0.8016, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.8658, scimark_benchmark: 1249.788, usercpu_time_millis: 96.588, usercpu_time_millis_testing: 5.339, usercpu_time_millis_training: 91.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.9133, kappa: 0.0873, kb_relative_information_score: -608.2791, mean_absolute_error: 0.095, 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: 0.8013, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.863, scimark_benchmark: 1266.483, usercpu_time_millis: 34.73, usercpu_time_millis_testing: 2.944, usercpu_time_millis_training: 31.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -814.0541, mean_absolute_error: 0.0993, 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: 0.8368, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.8761, scimark_benchmark: 1253.1819, usercpu_time_millis: 19.912, usercpu_time_millis_testing: 1.568, usercpu_time_millis_training: 18.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.9261, kappa: 0.241, kb_relative_information_score: -655.2892, mean_absolute_error: 0.0937, 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: 0.7902, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.8516, scimark_benchmark: 1268.5352, usercpu_time_millis: 92.987, usercpu_time_millis_testing: 4.569, usercpu_time_millis_training: 88.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -941.2584, mean_absolute_error: 0.0997, 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: 0.8408, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.8926, scimark_benchmark: 1248.2132, usercpu_time_millis: 31.845, usercpu_time_millis_testing: 1.822, usercpu_time_millis_training: 30.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.9063, kb_relative_information_score: -1258.5876, mean_absolute_error: 0.1086, 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: 0.9157, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.229, root_relative_squared_error: 0.9416, scimark_benchmark: 1261.0817, usercpu_time_millis: 11.519, usercpu_time_millis_testing: 0.824, usercpu_time_millis_training: 10.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.9063, kb_relative_information_score: -1142.3718, mean_absolute_error: 0.1086, 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: 0.9155, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.9395, scimark_benchmark: 1274.843, usercpu_time_millis: 9.827, usercpu_time_millis_testing: 0.825, usercpu_time_millis_training: 9.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.9082, kappa: 0.0232, kb_relative_information_score: -969.3359, mean_absolute_error: 0.1023, 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: 0.8626, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.9011, scimark_benchmark: 1271.9223, usercpu_time_millis: 6.605, usercpu_time_millis_testing: 0.536, usercpu_time_millis_training: 6.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.9063, kb_relative_information_score: -1392.3783, 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: 0.232, root_relative_squared_error: 0.9538, scimark_benchmark: 1262.7487, usercpu_time_millis: 44.273, usercpu_time_millis_testing: 3.503, usercpu_time_millis_training: 40.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1038.4455, 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: 0.8655, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.9068, scimark_benchmark: 1277.4737, usercpu_time_millis: 64.341, usercpu_time_millis_testing: 3.973, usercpu_time_millis_training: 60.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -775.6081, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9292, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8172, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.8696, scimark_benchmark: 1274.539, usercpu_time_millis: 33.934, usercpu_time_millis_testing: 1.849, usercpu_time_millis_training: 32.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -759.1136, mean_absolute_error: 0.0961, 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: 0.8105, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.8713, scimark_benchmark: 1273.1626, usercpu_time_millis: 32.906, usercpu_time_millis_testing: 1.963, usercpu_time_millis_training: 30.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.9063, kb_relative_information_score: -1068.4954, mean_absolute_error: 0.106, 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: 0.8939, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.9218, scimark_benchmark: 1272.4168, usercpu_time_millis: 18.022, usercpu_time_millis_testing: 1.573, usercpu_time_millis_training: 16.449,

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