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: 0.9032, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -834.864, 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: 0.8358, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.8828, scimark_benchmark: 1253.6042, usercpu_time_millis: 24.982, usercpu_time_millis_testing: 1.557, usercpu_time_millis_training: 23.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.9191, kappa: 0.1578, kb_relative_information_score: -625.3439, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9355, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7952, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.209, root_relative_squared_error: 0.8591, scimark_benchmark: 1244.6, usercpu_time_millis: 12.742, usercpu_time_millis_testing: 1.154, usercpu_time_millis_training: 11.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -920.1214, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9096, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8485, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.8907, scimark_benchmark: 1239.2161, usercpu_time_millis: 11.296, usercpu_time_millis_testing: 0.752, usercpu_time_millis_training: 10.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.9266, kappa: 0.2482, kb_relative_information_score: -649.5305, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.939, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7901, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.8503, scimark_benchmark: 1232.351, usercpu_time_millis: 81.282, usercpu_time_millis_testing: 4.917, usercpu_time_millis_training: 76.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -910.7927, mean_absolute_error: 0.0984, 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: 0.8296, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.8865, scimark_benchmark: 1243.5676, usercpu_time_millis: 114.771, usercpu_time_millis_testing: 5.393, usercpu_time_millis_training: 109.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.9273, kappa: 0.2679, kb_relative_information_score: -558.3325, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9312, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.8451, scimark_benchmark: 1265.0545, usercpu_time_millis: 152.334, usercpu_time_millis_testing: 6.071, usercpu_time_millis_training: 146.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.9063, kb_relative_information_score: -1419.1644, 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: 0.2319, root_relative_squared_error: 0.9535, scimark_benchmark: 1256.9482, usercpu_time_millis: 62.473, usercpu_time_millis_testing: 3.885, usercpu_time_millis_training: 58.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -761.0503, mean_absolute_error: 0.0958, 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: 0.8074, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.212, root_relative_squared_error: 0.8717, scimark_benchmark: 1235.6298, usercpu_time_millis: 54.971, usercpu_time_millis_testing: 3.535, usercpu_time_millis_training: 51.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.9238, kappa: 0.2136, kb_relative_information_score: -663.1516, mean_absolute_error: 0.0942, 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: 0.7941, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.8519, scimark_benchmark: 1246.8135, usercpu_time_millis: 102.254, usercpu_time_millis_testing: 5.843, usercpu_time_millis_training: 96.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9224, kappa: 0.1965, kb_relative_information_score: -676.1729, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9388, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7993, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.8561, scimark_benchmark: 1258.1216, usercpu_time_millis: 62.949, usercpu_time_millis_testing: 3.351, usercpu_time_millis_training: 59.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -725.3156, mean_absolute_error: 0.099, 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: 0.8347, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.8814, scimark_benchmark: 1257.1058, usercpu_time_millis: 59.689, usercpu_time_millis_testing: 5.832, usercpu_time_millis_training: 53.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -629.0869, mean_absolute_error: 0.0932, 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: 0.7857, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.8537, scimark_benchmark: 1244.0122, usercpu_time_millis: 48.212, usercpu_time_millis_testing: 2.987, usercpu_time_millis_training: 45.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.9127, kappa: 0.0778, kb_relative_information_score: -761.8863, 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: 0.8172, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.8685, scimark_benchmark: 1235.1801, usercpu_time_millis: 65.674, usercpu_time_millis_testing: 4.021, usercpu_time_millis_training: 61.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.9197, kappa: 0.1661, kb_relative_information_score: -732.9449, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9337, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.8111, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.8608, scimark_benchmark: 1259.4817, usercpu_time_millis: 27.185, usercpu_time_millis_testing: 2.129, usercpu_time_millis_training: 25.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -837.9863, mean_absolute_error: 0.1, 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: 0.8427, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.8865, scimark_benchmark: 1257.145, usercpu_time_millis: 62.868, usercpu_time_millis_testing: 4.938, usercpu_time_millis_training: 57.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.9063, kb_relative_information_score: -1121.4372, 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: 0.2303, root_relative_squared_error: 0.9468, scimark_benchmark: 1230.7814, usercpu_time_millis: 11.876, usercpu_time_millis_testing: 1.152, usercpu_time_millis_training: 10.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.9181, kappa: 0.1464, kb_relative_information_score: -692.2063, mean_absolute_error: 0.0938, 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: 0.791, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.862, scimark_benchmark: 1253.986, usercpu_time_millis: 22.562, usercpu_time_millis_testing: 1.303, usercpu_time_millis_training: 21.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -693.1561, mean_absolute_error: 0.0954, 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: 0.8045, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.208, root_relative_squared_error: 0.8553, scimark_benchmark: 1246.4903, usercpu_time_millis: 70.199, usercpu_time_millis_testing: 4.283, usercpu_time_millis_training: 65.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.9154, kappa: 0.1097, kb_relative_information_score: -711.8296, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9386, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.7993, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.8648, scimark_benchmark: 1245.2996, usercpu_time_millis: 43.285, usercpu_time_millis_testing: 2.628, usercpu_time_millis_training: 40.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.92, kappa: 0.1676, kb_relative_information_score: -697.3511, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9364, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.8019, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8578, scimark_benchmark: 1252.2648, usercpu_time_millis: 45.515, usercpu_time_millis_testing: 2.623, usercpu_time_millis_training: 42.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.9154, kappa: 0.1097, kb_relative_information_score: -741.9939, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9386, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.814, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.8681, scimark_benchmark: 1250.9486, usercpu_time_millis: 44.234, usercpu_time_millis_testing: 2.801, usercpu_time_millis_training: 41.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.9271, kappa: 0.2632, kb_relative_information_score: -559.5435, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9326, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.205, root_relative_squared_error: 0.843, scimark_benchmark: 1234.5546, usercpu_time_millis: 23.104, usercpu_time_millis_testing: 1.229, usercpu_time_millis_training: 21.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -842.2072, mean_absolute_error: 0.0997, 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: 0.8407, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.8827, scimark_benchmark: 1262.1911, usercpu_time_millis: 23.173, usercpu_time_millis_testing: 1.738, usercpu_time_millis_training: 21.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.9063, kb_relative_information_score: -1105.5103, mean_absolute_error: 0.1074, 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: 0.9052, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.9304, scimark_benchmark: 1259.2839, usercpu_time_millis: 36.881, usercpu_time_millis_testing: 3.34, usercpu_time_millis_training: 33.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -831.9624, mean_absolute_error: 0.0971, 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: 0.8183, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.8791, scimark_benchmark: 1262.4636, usercpu_time_millis: 34.332, usercpu_time_millis_testing: 2.141, usercpu_time_millis_training: 32.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.9063, kb_relative_information_score: -1153.5146, 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: 0.2316, root_relative_squared_error: 0.9521, scimark_benchmark: 1256.8166, usercpu_time_millis: 9.229, usercpu_time_millis_testing: 0.807, usercpu_time_millis_training: 8.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.9063, kb_relative_information_score: -1004.6657, 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: 0.2282, root_relative_squared_error: 0.9384, scimark_benchmark: 1247.593, usercpu_time_millis: 9.831, usercpu_time_millis_testing: 0.934, usercpu_time_millis_training: 8.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.9063, kb_relative_information_score: -1.0659, 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: 1253.5931, usercpu_time_millis: 6.533, usercpu_time_millis_testing: 0.764, usercpu_time_millis_training: 5.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -731.8863, mean_absolute_error: 0.0973, 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: 0.8206, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.8682, scimark_benchmark: 1261.154, usercpu_time_millis: 23.519, usercpu_time_millis_testing: 2.15, usercpu_time_millis_training: 21.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.9063, kb_relative_information_score: -1113.8422, 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: 0.8952, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.9255, scimark_benchmark: 1231.446, usercpu_time_millis: 48.967, usercpu_time_millis_testing: 3.497, usercpu_time_millis_training: 45.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.9063, kb_relative_information_score: -1031.3689, 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: 0.8997, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.9268, scimark_benchmark: 1253.8487, usercpu_time_millis: 45.015, usercpu_time_millis_testing: 5.018, usercpu_time_millis_training: 39.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.9268, kappa: 0.2533, kb_relative_information_score: -560.165, mean_absolute_error: 0.0907, 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: 0.7645, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.8441, scimark_benchmark: 1246.4252, usercpu_time_millis: 92.949, usercpu_time_millis_testing: 5.25, usercpu_time_millis_training: 87.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.9063, kb_relative_information_score: -1299.5733, 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: 0.23, root_relative_squared_error: 0.9458, scimark_benchmark: 1255.6447, usercpu_time_millis: 44.505, usercpu_time_millis_testing: 2.8, usercpu_time_millis_training: 41.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.9191, kappa: 0.1578, kb_relative_information_score: -674.2153, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9355, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.8564, scimark_benchmark: 1249.8733, usercpu_time_millis: 32.795, usercpu_time_millis_testing: 2.681, usercpu_time_millis_training: 30.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -965.5186, mean_absolute_error: 0.1024, 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: 0.8635, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.8995, scimark_benchmark: 1254.4422, usercpu_time_millis: 33.149, usercpu_time_millis_testing: 2.456, usercpu_time_millis_training: 30.693,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.9063, kb_relative_information_score: -973.6337, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8762, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.9073, scimark_benchmark: 1262.7822, usercpu_time_millis: 13.987, usercpu_time_millis_testing: 1.224, usercpu_time_millis_training: 12.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.9261, kappa: 0.241, kb_relative_information_score: -645.7668, mean_absolute_error: 0.0935, 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: 0.7887, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.8498, scimark_benchmark: 1249.2565, usercpu_time_millis: 137.94, usercpu_time_millis_testing: 6.946, usercpu_time_millis_training: 130.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.9082, kappa: 0.0232, kb_relative_information_score: -848.4424, mean_absolute_error: 0.1008, 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: 0.8498, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.8886, scimark_benchmark: 1261.4629, usercpu_time_millis: 20.728, usercpu_time_millis_testing: 1.69, usercpu_time_millis_training: 19.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.9063, kb_relative_information_score: -9.1066, 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: 0.9984, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1243.3356, usercpu_time_millis: 19.81, usercpu_time_millis_testing: 2.036, usercpu_time_millis_training: 17.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.9258, kappa: 0.2392, kb_relative_information_score: -653.2998, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9383, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7839, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.8493, scimark_benchmark: 1254.407, usercpu_time_millis: 116.273, usercpu_time_millis_testing: 4.752, usercpu_time_millis_training: 111.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -825.3303, mean_absolute_error: 0.101, 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: 0.8517, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.8913, scimark_benchmark: 1254.8377, usercpu_time_millis: 15.812, usercpu_time_millis_testing: 1.443, usercpu_time_millis_training: 14.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.9164, kappa: 0.1263, kb_relative_information_score: -669.9144, mean_absolute_error: 0.0943, 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: 0.795, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.8627, scimark_benchmark: 1253.6616, usercpu_time_millis: 35.446, usercpu_time_millis_testing: 2.131, usercpu_time_millis_training: 33.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.9063, kb_relative_information_score: -1193.1655, 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: 0.9328, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.9516, scimark_benchmark: 1249.4038, usercpu_time_millis: 31.728, usercpu_time_millis_testing: 2.852, usercpu_time_millis_training: 28.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.9245, kappa: 0.2267, kb_relative_information_score: -605.3968, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.934, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7792, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.206, root_relative_squared_error: 0.8468, scimark_benchmark: 1263.7222, usercpu_time_millis: 110.252, usercpu_time_millis_testing: 6.07, usercpu_time_millis_training: 104.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.9063, kb_relative_information_score: -1068.5904, mean_absolute_error: 0.1068, 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: 0.9001, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.9279, scimark_benchmark: 1234.8302, usercpu_time_millis: 17.784, usercpu_time_millis_testing: 1.692, usercpu_time_millis_training: 16.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1030.4046, 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: 0.8689, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.9099, scimark_benchmark: 1252.886, usercpu_time_millis: 6.752, usercpu_time_millis_testing: 0.583, usercpu_time_millis_training: 6.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.9238, kappa: 0.2136, kb_relative_information_score: -685.8166, 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: 0.2081, root_relative_squared_error: 0.8556, scimark_benchmark: 1264.4236, usercpu_time_millis: 150.171, usercpu_time_millis_testing: 7.366, usercpu_time_millis_training: 142.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -733.9862, mean_absolute_error: 0.0956, 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: 0.806, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.8696, scimark_benchmark: 1242.8993, usercpu_time_millis: 86.704, usercpu_time_millis_testing: 4.413, usercpu_time_millis_training: 82.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.9202, kappa: 0.1692, kb_relative_information_score: -655.4117, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9394, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.8017, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.858, scimark_benchmark: 1253.9139, usercpu_time_millis: 83.676, usercpu_time_millis_testing: 6.55, usercpu_time_millis_training: 77.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.9272, kappa: 0.2602, kb_relative_information_score: -545.5434, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9357, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7647, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.8415, scimark_benchmark: 1247.965, usercpu_time_millis: 67.758, usercpu_time_millis_testing: 4.833, usercpu_time_millis_training: 62.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -911.6495, mean_absolute_error: 0.1014, 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: 0.855, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.8954, scimark_benchmark: 1254.5144, usercpu_time_millis: 50.238, usercpu_time_millis_testing: 4.005, usercpu_time_millis_training: 46.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.9283, kappa: 0.2781, kb_relative_information_score: -569.89, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9331, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7595, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.8415, scimark_benchmark: 1232.1805, usercpu_time_millis: 161.926, usercpu_time_millis_testing: 7.63, usercpu_time_millis_training: 154.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.9063, kb_relative_information_score: -970.5426, mean_absolute_error: 0.1033, 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: 0.8705, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.9058, scimark_benchmark: 1249.0858, usercpu_time_millis: 45.129, usercpu_time_millis_testing: 4.041, usercpu_time_millis_training: 41.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -897.2873, mean_absolute_error: 0.0994, 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: 0.8384, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.8893, scimark_benchmark: 1254.6053, usercpu_time_millis: 46.652, usercpu_time_millis_testing: 2.929, usercpu_time_millis_training: 43.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -694.423, mean_absolute_error: 0.0973, 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: 0.8202, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.8741, scimark_benchmark: 1256.0359, usercpu_time_millis: 24.044, usercpu_time_millis_testing: 2.121, usercpu_time_millis_training: 21.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.9248, kappa: 0.2284, kb_relative_information_score: -575.8087, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9357, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7723, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.8472, scimark_benchmark: 1253.8391, usercpu_time_millis: 90.666, usercpu_time_millis_testing: 6.019, usercpu_time_millis_training: 84.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.9063, kb_relative_information_score: -1219.3648, 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: 0.9364, scimark_benchmark: 1236.9707, usercpu_time_millis: 7.109, usercpu_time_millis_testing: 0.603, usercpu_time_millis_training: 6.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.9248, kappa: 0.2284, kb_relative_information_score: -741.1206, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9357, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.8507, scimark_benchmark: 1242.6733, usercpu_time_millis: 7.362, usercpu_time_millis_testing: 0.576, usercpu_time_millis_training: 6.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.9189, kappa: 0.1563, kb_relative_information_score: -742.7, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9327, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.8126, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.8656, scimark_benchmark: 1253.0747, usercpu_time_millis: 7.044, usercpu_time_millis_testing: 0.558, usercpu_time_millis_training: 6.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1004.692, 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: 0.8686, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.9068, scimark_benchmark: 1237.1187, usercpu_time_millis: 42.773, usercpu_time_millis_testing: 3.41, usercpu_time_millis_training: 39.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -856.789, mean_absolute_error: 0.0987, 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: 0.8321, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.215, root_relative_squared_error: 0.8838, scimark_benchmark: 1260.4937, usercpu_time_millis: 33.322, usercpu_time_millis_testing: 2.555, usercpu_time_millis_training: 30.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.9063, kb_relative_information_score: -1347.0652, 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: 0.9239, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.9485, scimark_benchmark: 1250.875, usercpu_time_millis: 23.432, usercpu_time_millis_testing: 1.634, usercpu_time_millis_training: 21.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.9255, kappa: 0.2374, kb_relative_information_score: -573.0465, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9365, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7714, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.8479, scimark_benchmark: 1247.774, usercpu_time_millis: 75.857, usercpu_time_millis_testing: 4.385, usercpu_time_millis_training: 71.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.9255, kappa: 0.2374, kb_relative_information_score: -648.6637, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9365, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.785, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.8486, scimark_benchmark: 1254.0078, usercpu_time_millis: 119.835, usercpu_time_millis_testing: 5.589, usercpu_time_millis_training: 114.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -899.8125, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.217, root_relative_squared_error: 0.8922, scimark_benchmark: 1250.3689, usercpu_time_millis: 68.034, usercpu_time_millis_testing: 5.01, usercpu_time_millis_training: 63.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.9063, kb_relative_information_score: -1138.4516, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.933, scimark_benchmark: 1240.0107, usercpu_time_millis: 13.86, usercpu_time_millis_testing: 1.115, usercpu_time_millis_training: 12.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -637.5677, mean_absolute_error: 0.0937, 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: 0.7903, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.8508, scimark_benchmark: 1246.2437, usercpu_time_millis: 103.398, usercpu_time_millis_testing: 6.993, usercpu_time_millis_training: 96.405,

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