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: 0.8761, f_measure: 0.9063, kb_relative_information_score: -1082.9718, mean_absolute_error: 0.1054, 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: 0.8888, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.9199, scimark_benchmark: 1267.8286, usercpu_time_millis: 2.772, usercpu_time_millis_testing: 0.377, usercpu_time_millis_training: 2.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.9063, kb_relative_information_score: -1118.6305, 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: 0.2311, root_relative_squared_error: 0.9501, scimark_benchmark: 1276.0844, usercpu_time_millis: 36.166, usercpu_time_millis_testing: 3.53, usercpu_time_millis_training: 32.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.9092, kappa: 0.0346, kb_relative_information_score: -688.6969, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9419, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.212, root_relative_squared_error: 0.8715, scimark_benchmark: 1270.2417, usercpu_time_millis: 33.867, usercpu_time_millis_testing: 2.874, usercpu_time_millis_training: 30.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.9063, kb_relative_information_score: -985.5455, mean_absolute_error: 0.103, 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: 0.8682, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.905, scimark_benchmark: 1264.1731, usercpu_time_millis: 28.119, usercpu_time_millis_testing: 2.123, usercpu_time_millis_training: 25.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1010.2486, mean_absolute_error: 0.1023, 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: 0.8622, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.904, scimark_benchmark: 1260.9754, usercpu_time_millis: 27.693, usercpu_time_millis_testing: 1.933, usercpu_time_millis_training: 25.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.9235, kappa: 0.2119, kb_relative_information_score: -635.6438, mean_absolute_error: 0.0939, 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: 0.7921, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.8503, scimark_benchmark: 1271.5995, usercpu_time_millis: 101.595, usercpu_time_millis_testing: 6.542, usercpu_time_millis_training: 95.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.9238, kappa: 0.2136, kb_relative_information_score: -650.8638, mean_absolute_error: 0.0936, 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: 0.7895, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.8503, scimark_benchmark: 1263.4092, usercpu_time_millis: 75.314, usercpu_time_millis_testing: 3.749, usercpu_time_millis_training: 71.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.9155, kappa: 0.1161, kb_relative_information_score: -718.6353, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9277, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.8096, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.8621, scimark_benchmark: 1263.3695, usercpu_time_millis: 14.409, usercpu_time_millis_testing: 0.923, usercpu_time_millis_training: 13.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.9133, kappa: 0.0873, kb_relative_information_score: -666.5226, mean_absolute_error: 0.0958, 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: 0.808, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.8617, scimark_benchmark: 1278.4887, usercpu_time_millis: 93.913, usercpu_time_millis_testing: 8.453, usercpu_time_millis_training: 85.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.9219, kappa: 0.1932, kb_relative_information_score: -648.0084, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9342, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7908, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.207, root_relative_squared_error: 0.8512, scimark_benchmark: 1275.983, usercpu_time_millis: 67.086, usercpu_time_millis_testing: 4.337, usercpu_time_millis_training: 62.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.9247, kappa: 0.2321, kb_relative_information_score: -923.6867, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9318, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.8748, scimark_benchmark: 1258.3533, usercpu_time_millis: 2.849, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 2.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.9191, kappa: 0.1578, kb_relative_information_score: -632.9385, mean_absolute_error: 0.0942, 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: 0.794, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.208, root_relative_squared_error: 0.8554, scimark_benchmark: 1254.6214, usercpu_time_millis: 136.796, usercpu_time_millis_testing: 10.174, usercpu_time_millis_training: 126.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.9253, kappa: 0.232, kb_relative_information_score: -639.9761, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9394, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7866, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.8478, scimark_benchmark: 1263.0023, usercpu_time_millis: 105.236, usercpu_time_millis_testing: 6.318, usercpu_time_millis_training: 98.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.9263, kappa: 0.2463, kb_relative_information_score: -585.9459, mean_absolute_error: 0.0922, 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: 0.7773, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.8477, scimark_benchmark: 1271.5779, usercpu_time_millis: 35.614, usercpu_time_millis_testing: 2.397, usercpu_time_millis_training: 33.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.9063, kb_relative_information_score: -1009.5367, 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: 0.8933, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.9218, scimark_benchmark: 1262.3456, usercpu_time_millis: 44.773, usercpu_time_millis_testing: 4.48, usercpu_time_millis_training: 40.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -865.7774, mean_absolute_error: 0.0974, 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: 0.821, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.8808, scimark_benchmark: 1253.9387, usercpu_time_millis: 19.66, usercpu_time_millis_testing: 0.833, usercpu_time_millis_training: 18.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.9274, kappa: 0.265, kb_relative_information_score: -590.1008, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9338, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7687, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.8449, scimark_benchmark: 1253.2098, usercpu_time_millis: 40.928, usercpu_time_millis_testing: 2.462, usercpu_time_millis_training: 38.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: -5.592, 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: 1263.7093, usercpu_time_millis: 8.843, usercpu_time_millis_testing: 1.087, usercpu_time_millis_training: 7.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.9253, kappa: 0.232, kb_relative_information_score: -628.3111, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9394, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.781, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.8453, scimark_benchmark: 1257.6407, usercpu_time_millis: 174.202, usercpu_time_millis_testing: 8.135, usercpu_time_millis_training: 166.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.9181, kappa: 0.1464, kb_relative_information_score: -591.305, mean_absolute_error: 0.094, 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: 0.7923, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.8611, scimark_benchmark: 1273.1369, usercpu_time_millis: 26.914, usercpu_time_millis_testing: 2.389, usercpu_time_millis_training: 24.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.9063, kb_relative_information_score: -1088.2329, mean_absolute_error: 0.1078, 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: 0.9085, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.935, scimark_benchmark: 1276.7069, usercpu_time_millis: 12.249, usercpu_time_millis_testing: 1.288, usercpu_time_millis_training: 10.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.9245, kappa: 0.2228, kb_relative_information_score: -641.1044, mean_absolute_error: 0.0936, 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: 0.789, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.85, scimark_benchmark: 1270.9044, usercpu_time_millis: 115.484, usercpu_time_millis_testing: 5.341, usercpu_time_millis_training: 110.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.9269, kappa: 0.2583, kb_relative_information_score: -582.2524, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9343, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.8441, scimark_benchmark: 1284.3557, usercpu_time_millis: 167.975, usercpu_time_millis_testing: 7.199, usercpu_time_millis_training: 160.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -701.7573, mean_absolute_error: 0.0965, 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: 0.8133, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.8622, scimark_benchmark: 1259.8802, usercpu_time_millis: 43.962, usercpu_time_millis_testing: 3.4, usercpu_time_millis_training: 40.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.9269, kappa: 0.2583, kb_relative_information_score: -579.9337, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9343, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, 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: 1262.5252, usercpu_time_millis: 39.306, usercpu_time_millis_testing: 2.346, usercpu_time_millis_training: 36.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.9063, kb_relative_information_score: -998.4, mean_absolute_error: 0.1114, 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: 0.9396, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.9543, scimark_benchmark: 1276.7883, usercpu_time_millis: 19.895, usercpu_time_millis_testing: 2.303, usercpu_time_millis_training: 17.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.9106, kappa: 0.0549, kb_relative_information_score: -855.6264, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9245, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.844, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.8773, scimark_benchmark: 1276.8502, usercpu_time_millis: 35.626, usercpu_time_millis_testing: 2.66, usercpu_time_millis_training: 32.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.9063, kb_relative_information_score: -1081.0905, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.9157, scimark_benchmark: 1243.5851, usercpu_time_millis: 29.482, usercpu_time_millis_testing: 2.082, usercpu_time_millis_training: 27.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.9248, kappa: 0.2284, kb_relative_information_score: -598.4567, mean_absolute_error: 0.0927, 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: 0.7816, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.8489, scimark_benchmark: 1266.1324, usercpu_time_millis: 121.664, usercpu_time_millis_testing: 6.953, usercpu_time_millis_training: 114.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.9063, kb_relative_information_score: -1398.5971, 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: 0.2321, root_relative_squared_error: 0.9541, scimark_benchmark: 1271.8007, usercpu_time_millis: 21.894, usercpu_time_millis_testing: 1.523, usercpu_time_millis_training: 20.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.9082, kappa: 0.0232, kb_relative_information_score: -939.0898, mean_absolute_error: 0.1, 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: 0.8435, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.8979, scimark_benchmark: 1273.1627, usercpu_time_millis: 2.257, usercpu_time_millis_testing: 0.205, usercpu_time_millis_training: 2.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1008.7587, mean_absolute_error: 0.1017, 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: 0.8575, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.8998, scimark_benchmark: 1261.4765, usercpu_time_millis: 56.635, usercpu_time_millis_testing: 3.191, usercpu_time_millis_training: 53.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.9164, kappa: 0.1263, kb_relative_information_score: -699.7732, mean_absolute_error: 0.0955, 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: 0.805, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.8643, scimark_benchmark: 1254.9086, usercpu_time_millis: 71.987, usercpu_time_millis_testing: 4.43, usercpu_time_millis_training: 67.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -641.2739, mean_absolute_error: 0.0936, 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: 0.7893, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.8503, scimark_benchmark: 1282.347, usercpu_time_millis: 96.178, usercpu_time_millis_testing: 5.416, usercpu_time_millis_training: 90.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -777.1865, mean_absolute_error: 0.0996, 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: 0.8394, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.8802, scimark_benchmark: 1267.4453, usercpu_time_millis: 30.856, usercpu_time_millis_testing: 2.827, usercpu_time_millis_training: 28.029,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -912.5885, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8404, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.216, root_relative_squared_error: 0.888, scimark_benchmark: 1260.4236, usercpu_time_millis: 114.475, usercpu_time_millis_testing: 5.365, usercpu_time_millis_training: 109.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.9151, kappa: 0.1084, kb_relative_information_score: -723.6455, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9338, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.8126, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.8643, scimark_benchmark: 1273.0732, usercpu_time_millis: 57.716, usercpu_time_millis_testing: 4.179, usercpu_time_millis_training: 53.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -873.2597, mean_absolute_error: 0.102, 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: 0.8599, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.9002, scimark_benchmark: 1279.2802, usercpu_time_millis: 10.867, usercpu_time_millis_testing: 0.975, usercpu_time_millis_training: 9.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9239, kappa: 0.227, kb_relative_information_score: -613.1712, mean_absolute_error: 0.0916, 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: 0.7721, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.852, scimark_benchmark: 1250.5501, usercpu_time_millis: 102.062, usercpu_time_millis_testing: 4.535, usercpu_time_millis_training: 97.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.9189, kappa: 0.1563, kb_relative_information_score: -649.6579, mean_absolute_error: 0.0946, 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: 0.7973, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8556, scimark_benchmark: 1258.8976, usercpu_time_millis: 19.018, usercpu_time_millis_testing: 1.51, usercpu_time_millis_training: 17.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.9269, kappa: 0.2583, kb_relative_information_score: -569.6607, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9343, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7619, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.8433, scimark_benchmark: 1255.9261, usercpu_time_millis: 36.777, usercpu_time_millis_testing: 1.912, usercpu_time_millis_training: 34.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -851.9278, mean_absolute_error: 0.0982, 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: 0.8281, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.8787, scimark_benchmark: 1259.4561, usercpu_time_millis: 124.134, usercpu_time_millis_testing: 6.2, usercpu_time_millis_training: 117.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.9063, kb_relative_information_score: -1371.7691, 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: 0.9288, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.9505, scimark_benchmark: 1253.8492, usercpu_time_millis: 6.903, usercpu_time_millis_testing: 0.498, usercpu_time_millis_training: 6.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.9063, kb_relative_information_score: -1203.9927, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9254, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.9475, scimark_benchmark: 1271.4152, usercpu_time_millis: 25.533, usercpu_time_millis_testing: 2.441, usercpu_time_millis_training: 23.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -934.0991, mean_absolute_error: 0.1006, 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: 0.8477, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.8946, scimark_benchmark: 1275.2979, usercpu_time_millis: 30.428, usercpu_time_millis_testing: 2.655, usercpu_time_millis_training: 27.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.9063, kb_relative_information_score: -1197.9298, mean_absolute_error: 0.1091, 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: 0.9201, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.9419, scimark_benchmark: 1247.6322, usercpu_time_millis: 4.756, usercpu_time_millis_testing: 0.541, usercpu_time_millis_training: 4.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -786.4907, mean_absolute_error: 0.0981, 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: 0.8267, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.8749, scimark_benchmark: 1272.3995, usercpu_time_millis: 67.577, usercpu_time_millis_testing: 4.886, usercpu_time_millis_training: 62.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.9063, kb_relative_information_score: -1126.9801, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9337, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.9511, scimark_benchmark: 1271.4592, usercpu_time_millis: 7.419, usercpu_time_millis_testing: 0.625, usercpu_time_millis_training: 6.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.9063, kb_relative_information_score: -1025.0219, 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: 0.9051, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.9295, scimark_benchmark: 1248.16, usercpu_time_millis: 4.778, usercpu_time_millis_testing: 0.478, usercpu_time_millis_training: 4.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -725.6361, mean_absolute_error: 0.0953, 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: 0.8036, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.864, scimark_benchmark: 1251.8689, usercpu_time_millis: 6.146, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 5.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.9063, kb_relative_information_score: -1270.9031, mean_absolute_error: 0.1083, 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: 0.9131, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.9407, scimark_benchmark: 1274.2567, usercpu_time_millis: 33.612, usercpu_time_millis_testing: 2.578, usercpu_time_millis_training: 31.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -736.5865, mean_absolute_error: 0.0992, 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: 0.8366, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.8826, scimark_benchmark: 1256.7041, usercpu_time_millis: 70.712, usercpu_time_millis_testing: 6.22, usercpu_time_millis_training: 64.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.9133, kappa: 0.0873, kb_relative_information_score: -708.3026, mean_absolute_error: 0.0965, 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: 0.8138, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.8653, scimark_benchmark: 1255.8226, usercpu_time_millis: 70.961, usercpu_time_millis_testing: 5.077, usercpu_time_millis_training: 65.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.9063, kb_relative_information_score: -1125.9155, 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: 0.9046, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.9316, scimark_benchmark: 1250.8349, usercpu_time_millis: 19.128, usercpu_time_millis_testing: 1.845, usercpu_time_millis_training: 17.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.9286, kappa: 0.28, kb_relative_information_score: -541.9197, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9342, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.84, scimark_benchmark: 1268.4744, usercpu_time_millis: 197.981, usercpu_time_millis_testing: 8.656, usercpu_time_millis_training: 189.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.925, kappa: 0.2339, kb_relative_information_score: -649.6897, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9333, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7766, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8541, scimark_benchmark: 1267.7355, usercpu_time_millis: 5.577, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 5.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -670.613, mean_absolute_error: 0.0968, 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: 0.8158, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.8699, scimark_benchmark: 1271.0341, usercpu_time_millis: 22.257, usercpu_time_millis_testing: 1.954, usercpu_time_millis_training: 20.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1011.5986, mean_absolute_error: 0.1032, 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: 0.8699, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.9064, scimark_benchmark: 1259.8438, usercpu_time_millis: 48.973, usercpu_time_millis_testing: 3.44, usercpu_time_millis_training: 45.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1001.8459, mean_absolute_error: 0.1025, 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: 0.864, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.9052, scimark_benchmark: 1260.3563, usercpu_time_millis: 46.834, usercpu_time_millis_testing: 3.742, usercpu_time_millis_training: 43.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.9063, kb_relative_information_score: -1078.3206, mean_absolute_error: 0.1084, 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: 0.9138, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.228, root_relative_squared_error: 0.9374, scimark_benchmark: 1254.5111, usercpu_time_millis: 36.915, usercpu_time_millis_testing: 3.682, usercpu_time_millis_training: 33.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: -3.2542, 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: 0.9966, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1253.9332, usercpu_time_millis: 5.007, usercpu_time_millis_testing: 0.499, usercpu_time_millis_training: 4.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.9063, kb_relative_information_score: -1071.1823, 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: 0.2234, root_relative_squared_error: 0.9185, scimark_benchmark: 1269.1181, usercpu_time_millis: 32.066, usercpu_time_millis_testing: 2.447, usercpu_time_millis_training: 29.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -602.6195, mean_absolute_error: 0.0938, 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: 0.7908, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8557, scimark_benchmark: 1253.9253, usercpu_time_millis: 27.091, usercpu_time_millis_testing: 2.161, usercpu_time_millis_training: 24.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -757.4631, mean_absolute_error: 0.0969, 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: 0.8169, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8703, scimark_benchmark: 1272.2898, usercpu_time_millis: 71.273, usercpu_time_millis_testing: 4.264, usercpu_time_millis_training: 67.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.926, kappa: 0.2445, kb_relative_information_score: -605.0253, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9356, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.8489, scimark_benchmark: 1275.5936, usercpu_time_millis: 143.543, usercpu_time_millis_testing: 7.312, usercpu_time_millis_training: 136.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.926, kappa: 0.2445, kb_relative_information_score: -558.2592, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9356, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.768, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.8436, scimark_benchmark: 1272.8867, usercpu_time_millis: 138.873, usercpu_time_millis_testing: 8.91, usercpu_time_millis_training: 129.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -881.9037, mean_absolute_error: 0.0996, 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: 0.8398, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.215, root_relative_squared_error: 0.884, scimark_benchmark: 1269.6828, usercpu_time_millis: 51.425, usercpu_time_millis_testing: 2.978, usercpu_time_millis_training: 48.447,

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