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: 0.8331, f_measure: 0.9063, kb_relative_information_score: -1373.7218, 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: 0.921, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.9472, scimark_benchmark: 1395.7604, usercpu_time_millis: 9.78, usercpu_time_millis_testing: 0.63, usercpu_time_millis_training: 9.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -898.5982, mean_absolute_error: 0.0981, 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: 0.8274, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8703, scimark_benchmark: 1385.6495, usercpu_time_millis: 18.47, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 18.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.9214, kappa: 0.1854, kb_relative_information_score: -773.7979, mean_absolute_error: 0.0958, 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: 0.8073, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.209, root_relative_squared_error: 0.8591, scimark_benchmark: 1411.2521, usercpu_time_millis: 36.91, usercpu_time_millis_testing: 1.21, usercpu_time_millis_training: 35.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.9063, kb_relative_information_score: -1055.4964, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9309, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.232, root_relative_squared_error: 0.9538, scimark_benchmark: 1426.1125, usercpu_time_millis: 0.83, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.9248, kappa: 0.2284, kb_relative_information_score: -774.4889, mean_absolute_error: 0.0945, 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: 0.7964, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.8548, scimark_benchmark: 1397.9093, usercpu_time_millis: 23.65, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 23.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.9276, kappa: 0.2697, kb_relative_information_score: -806.2073, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9323, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.787, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.209, root_relative_squared_error: 0.8593, scimark_benchmark: 1461.0781, usercpu_time_millis: 37.69, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 37.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9063, kb_relative_information_score: 4.2631, 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: 0.9969, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1421.5612, usercpu_time_millis: 0.96, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 0.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.9261, kappa: 0.2529, kb_relative_information_score: -714.865, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9306, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7801, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.8506, scimark_benchmark: 1414.5314, usercpu_time_millis: 40.94, usercpu_time_millis_testing: 0.7, usercpu_time_millis_training: 40.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -896.8953, 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: 0.8376, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.8879, scimark_benchmark: 1426.9602, usercpu_time_millis: 12.49, usercpu_time_millis_testing: 0.85, usercpu_time_millis_training: 11.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.9063, kb_relative_information_score: -1146.577, 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: 0.9228, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.95, scimark_benchmark: 1473.9806, usercpu_time_millis: 6.02, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 5.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: 3.4202, 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: 0.9975, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1422.1679, usercpu_time_millis: 0.33, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.9063, kb_relative_information_score: -1225.1603, mean_absolute_error: 0.1087, 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: 0.9163, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.9431, scimark_benchmark: 1381.8607, usercpu_time_millis: 7.35, usercpu_time_millis_testing: 0.52, usercpu_time_millis_training: 6.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -959.2355, mean_absolute_error: 0.1006, 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: 0.8485, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.8935, scimark_benchmark: 1477.1343, usercpu_time_millis: 18.22, usercpu_time_millis_testing: 0.86, usercpu_time_millis_training: 17.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9063, kb_relative_information_score: 3.1021, 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: 0.9975, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1424.9841, usercpu_time_millis: 2.71, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 2.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.9239, kappa: 0.227, kb_relative_information_score: -826.7492, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9279, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7948, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.86, scimark_benchmark: 1517.0306, usercpu_time_millis: 168.74, usercpu_time_millis_testing: 1.61, usercpu_time_millis_training: 167.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.9176, kappa: 0.149, kb_relative_information_score: -787.1338, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9222, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.7945, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.8744, scimark_benchmark: 1444.3728, usercpu_time_millis: 100.41, usercpu_time_millis_testing: 1.19, usercpu_time_millis_training: 99.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.9246, kappa: 0.2473, kb_relative_information_score: -654.5889, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9239, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.762, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.8533, scimark_benchmark: 1374.5866, usercpu_time_millis: 89.88, usercpu_time_millis_testing: 1.56, usercpu_time_millis_training: 88.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.9293, kappa: 0.299, kb_relative_information_score: -626.0594, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9306, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7568, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.8532, scimark_benchmark: 1387.6205, usercpu_time_millis: 9.65, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 9.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.9063, kb_relative_information_score: -1042.3657, 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: 0.232, root_relative_squared_error: 0.9541, scimark_benchmark: 1382.6718, usercpu_time_millis: 2.28, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 2.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.9267, kappa: 0.2643, kb_relative_information_score: -722.2642, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9292, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7745, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.864, scimark_benchmark: 1427.9053, usercpu_time_millis: 65.8, usercpu_time_millis_testing: 0.72, usercpu_time_millis_training: 65.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.9063, kb_relative_information_score: -1272.2095, mean_absolute_error: 0.11, 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: 0.9276, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.9495, scimark_benchmark: 1393.8975, usercpu_time_millis: 5.82, usercpu_time_millis_testing: 0.56, usercpu_time_millis_training: 5.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.9063, kb_relative_information_score: -1348.2198, 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: 0.902, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.9323, scimark_benchmark: 1413.2397, usercpu_time_millis: 69.73, usercpu_time_millis_testing: 1.03, usercpu_time_millis_training: 68.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.9172, kappa: 0.1364, kb_relative_information_score: -876.7424, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9304, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.829, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8705, scimark_benchmark: 1368.1503, usercpu_time_millis: 7.76, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 7.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.9063, kb_relative_information_score: -1463.174, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.9441, scimark_benchmark: 1402.4182, usercpu_time_millis: 14.42, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 14.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.9131, kappa: 0.0861, kb_relative_information_score: -1059.3686, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9263, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8604, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.8872, scimark_benchmark: 1448.3251, usercpu_time_millis: 28.59, usercpu_time_millis_testing: 1.08, usercpu_time_millis_training: 27.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.9181, kappa: 0.1464, kb_relative_information_score: -811.2456, mean_absolute_error: 0.0958, 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: 0.8077, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.212, root_relative_squared_error: 0.8718, scimark_benchmark: 1426.8144, usercpu_time_millis: 37.06, usercpu_time_millis_testing: 0.62, usercpu_time_millis_training: 36.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1031.0858, mean_absolute_error: 0.1018, 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: 0.8587, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.9034, scimark_benchmark: 1358.8674, usercpu_time_millis: 6.29, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 5.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.9284, kappa: 0.2754, kb_relative_information_score: -810.1399, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9359, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7936, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.8567, scimark_benchmark: 1450.0799, usercpu_time_millis: 167.51, usercpu_time_millis_testing: 1.3, usercpu_time_millis_training: 166.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.9063, kb_relative_information_score: -1389.7198, 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: 0.9173, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.9449, scimark_benchmark: 1428.1596, usercpu_time_millis: 20.08, usercpu_time_millis_testing: 0.88, usercpu_time_millis_training: 19.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -837.5658, mean_absolute_error: 0.0961, 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: 0.8101, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.8637, scimark_benchmark: 1374.6284, usercpu_time_millis: 44.13, usercpu_time_millis_testing: 0.69, usercpu_time_millis_training: 43.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: 4.4192, 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: 1441.5823, usercpu_time_millis: 4.11, usercpu_time_millis_testing: 0.62, usercpu_time_millis_training: 3.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.9245, kappa: 0.2228, kb_relative_information_score: -779.6562, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9387, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.8067, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.857, scimark_benchmark: 1396.7193, usercpu_time_millis: 30.9, usercpu_time_millis_testing: 0.94, usercpu_time_millis_training: 29.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.927, kappa: 0.2734, kb_relative_information_score: -808.9359, mean_absolute_error: 0.0931, 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: 0.7846, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.8766, scimark_benchmark: 1406.6189, usercpu_time_millis: 101.04, usercpu_time_millis_testing: 0.61, usercpu_time_millis_training: 100.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -951.8274, 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: 0.8317, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.8852, scimark_benchmark: 1414.5669, usercpu_time_millis: 13.8, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 13.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.9063, kb_relative_information_score: 3.6744, 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: 1360.4405, usercpu_time_millis: 3.3, usercpu_time_millis_testing: 0.53, usercpu_time_millis_training: 2.77,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -876.8579, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9347, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.8177, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.868, scimark_benchmark: 1449.9554, usercpu_time_millis: 36.2, usercpu_time_millis_testing: 0.59, usercpu_time_millis_training: 35.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.9063, kb_relative_information_score: -1471.8027, 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: 0.9225, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.9501, scimark_benchmark: 1312.2961, usercpu_time_millis: 19.59, usercpu_time_millis_testing: 1.02, usercpu_time_millis_training: 18.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.9063, kb_relative_information_score: -1135.1203, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8693, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.9104, scimark_benchmark: 1365.3431, usercpu_time_millis: 14.41, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 14.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -670.9001, mean_absolute_error: 0.0954, 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: 0.804, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8578, scimark_benchmark: 1368.5781, usercpu_time_millis: 12.11, usercpu_time_millis_testing: 1.02, usercpu_time_millis_training: 11.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.9144, kappa: 0.1046, kb_relative_information_score: -804.388, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9232, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.8752, scimark_benchmark: 1410.862, usercpu_time_millis: 0.85, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 0.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.9267, kappa: 0.2565, kb_relative_information_score: -785.0653, mean_absolute_error: 0.0929, 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: 0.7833, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.8547, scimark_benchmark: 1847.8629, usercpu_time_millis: 162.99, usercpu_time_millis_testing: 1.462, usercpu_time_millis_training: 161.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.9255, kappa: 0.2409, kb_relative_information_score: -803.6488, mean_absolute_error: 0.0936, 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: 0.7893, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8573, scimark_benchmark: 1839.7252, usercpu_time_millis: 72.36, usercpu_time_millis_testing: 0.603, usercpu_time_millis_training: 71.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.9063, kb_relative_information_score: -1302.6497, 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: 0.9301, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.957, scimark_benchmark: 2128.2277, usercpu_time_millis: 16.073, usercpu_time_millis_testing: 0.703, usercpu_time_millis_training: 15.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.9245, kappa: 0.2228, kb_relative_information_score: -727.4844, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9387, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.859, scimark_benchmark: 2084.3532, usercpu_time_millis: 27.414, usercpu_time_millis_testing: 1.118, usercpu_time_millis_training: 26.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -1245.8311, mean_absolute_error: 0.1049, 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: 0.8844, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.9123, scimark_benchmark: 1834.8102, usercpu_time_millis: 42.442, usercpu_time_millis_testing: 0.972, usercpu_time_millis_training: 41.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.9063, kb_relative_information_score: -1169.9292, mean_absolute_error: 0.1051, 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: 0.8865, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.9185, scimark_benchmark: 1748.3914, usercpu_time_millis: 3.287, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 3.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -933.456, mean_absolute_error: 0.1006, 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: 0.8483, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.8903, scimark_benchmark: 1985.8414, usercpu_time_millis: 5.287, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 4.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.9252, kappa: 0.2476, kb_relative_information_score: -727.716, mean_absolute_error: 0.0928, 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: 0.7821, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8525, scimark_benchmark: 1836.3978, usercpu_time_millis: 39.074, usercpu_time_millis_testing: 0.585, usercpu_time_millis_training: 38.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -1068.1986, mean_absolute_error: 0.1006, 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: 0.8485, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.8952, scimark_benchmark: 1857.184, usercpu_time_millis: 97.687, usercpu_time_millis_testing: 0.826, usercpu_time_millis_training: 96.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.9235, kappa: 0.2119, kb_relative_information_score: -821.6833, mean_absolute_error: 0.0955, 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: 0.8049, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.8605, scimark_benchmark: 1841.5344, usercpu_time_millis: 37.761, usercpu_time_millis_testing: 0.541, usercpu_time_millis_training: 37.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.9063, kb_relative_information_score: -6.2806, 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: 1711.1583, usercpu_time_millis: 3.819, usercpu_time_millis_testing: 0.534, usercpu_time_millis_training: 3.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9063, kb_relative_information_score: 3.9657, 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: 0.9964, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1851.3287, usercpu_time_millis: 1.161, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.9063, kb_relative_information_score: -990.4538, mean_absolute_error: 0.1102, 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: 0.9287, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.953, scimark_benchmark: 2142.0157, usercpu_time_millis: 7.681, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 7.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.9063, kb_relative_information_score: -1257.4548, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9029, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.932, scimark_benchmark: 1826.09, usercpu_time_millis: 3.175, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 3.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: 2.979, 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: 0.9975, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1832.6873, usercpu_time_millis: 3.824, usercpu_time_millis_testing: 0.586, usercpu_time_millis_training: 3.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.9263, kappa: 0.2463, kb_relative_information_score: -581.4281, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7739, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.8473, scimark_benchmark: 1732.1062, usercpu_time_millis: 24.444, usercpu_time_millis_testing: 1.379, usercpu_time_millis_training: 23.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1075.7883, 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: 0.8713, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.9111, scimark_benchmark: 2143.1163, usercpu_time_millis: 12.506, usercpu_time_millis_testing: 0.941, usercpu_time_millis_training: 11.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -889.6492, mean_absolute_error: 0.1022, 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: 0.8618, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.9012, scimark_benchmark: 1871.2001, usercpu_time_millis: 7.694, usercpu_time_millis_testing: 0.964, usercpu_time_millis_training: 6.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -809.6016, mean_absolute_error: 0.0986, 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: 0.8314, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.8785, scimark_benchmark: 1855.2567, usercpu_time_millis: 1.775, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 1.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.9209, kappa: 0.2053, kb_relative_information_score: -782.8973, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9191, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.7847, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.8781, scimark_benchmark: 1872.4881, usercpu_time_millis: 89.59, usercpu_time_millis_testing: 1.054, usercpu_time_millis_training: 88.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.925, kappa: 0.2302, kb_relative_information_score: -615.7854, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9375, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7869, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.8538, scimark_benchmark: 1868.7112, usercpu_time_millis: 16.914, usercpu_time_millis_testing: 0.947, usercpu_time_millis_training: 15.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.9248, kappa: 0.2408, kb_relative_information_score: -678.8324, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9276, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7739, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.8604, scimark_benchmark: 1742.0962, usercpu_time_millis: 62.843, usercpu_time_millis_testing: 1.43, usercpu_time_millis_training: 61.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.9063, kb_relative_information_score: -1280.9645, mean_absolute_error: 0.1105, 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: 0.9315, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.9519, scimark_benchmark: 1740.277, usercpu_time_millis: 2.348, usercpu_time_millis_testing: 0.198, usercpu_time_millis_training: 2.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.9063, kb_relative_information_score: -1569.2491, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9214, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.9504, scimark_benchmark: 1745.7125, usercpu_time_millis: 53.478, usercpu_time_millis_testing: 0.511, usercpu_time_millis_training: 52.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.9082, kappa: 0.0232, kb_relative_information_score: -1095.2308, mean_absolute_error: 0.1033, 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: 0.8711, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.22, root_relative_squared_error: 0.9044, scimark_benchmark: 1868.6447, usercpu_time_millis: 19.567, usercpu_time_millis_testing: 0.859, usercpu_time_millis_training: 18.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.9063, kb_relative_information_score: -900.5899, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8694, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.9048, scimark_benchmark: 1843.5802, usercpu_time_millis: 6.936, usercpu_time_millis_testing: 0.672, usercpu_time_millis_training: 6.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -890.376, mean_absolute_error: 0.0974, 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: 0.8208, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.8779, scimark_benchmark: 1859.4881, usercpu_time_millis: 27.358, usercpu_time_millis_testing: 0.578, usercpu_time_millis_training: 26.78,

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