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: 0.8249, f_measure: 0.9063, kb_relative_information_score: -1216.0206, 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: 0.9305, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.9521, scimark_benchmark: 1247.9788, usercpu_time_millis: 17.222, usercpu_time_millis_testing: 1.394, usercpu_time_millis_training: 15.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.9063, kb_relative_information_score: -950.6728, 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: 0.2315, root_relative_squared_error: 0.9517, scimark_benchmark: 1254.8782, usercpu_time_millis: 13.297, usercpu_time_millis_testing: 1.399, usercpu_time_millis_training: 11.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.9172, kappa: 0.1364, kb_relative_information_score: -673.4101, mean_absolute_error: 0.0956, 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: 0.8062, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8578, scimark_benchmark: 1265.1007, usercpu_time_millis: 81.7, usercpu_time_millis_testing: 5.369, usercpu_time_millis_training: 76.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -684.8583, mean_absolute_error: 0.0971, 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: 0.8185, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8705, scimark_benchmark: 1275.3254, usercpu_time_millis: 74.644, usercpu_time_millis_testing: 6.344, usercpu_time_millis_training: 68.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.9258, kappa: 0.2392, kb_relative_information_score: -666.2205, mean_absolute_error: 0.094, 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: 0.7926, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8525, scimark_benchmark: 1275.4513, usercpu_time_millis: 53.504, usercpu_time_millis_testing: 3.092, usercpu_time_millis_training: 50.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -695.624, mean_absolute_error: 0.0953, 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: 0.8033, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.8599, scimark_benchmark: 1251.9569, usercpu_time_millis: 67.21, usercpu_time_millis_testing: 3.562, usercpu_time_millis_training: 63.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -795.9533, mean_absolute_error: 0.0979, 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: 0.8256, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.8748, scimark_benchmark: 1274.1247, usercpu_time_millis: 92.382, usercpu_time_millis_testing: 5.92, usercpu_time_millis_training: 86.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -787.8813, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8414, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.882, scimark_benchmark: 1275.6318, usercpu_time_millis: 16.893, usercpu_time_millis_testing: 1.457, usercpu_time_millis_training: 15.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1031.1575, 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: 0.8707, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.9084, scimark_benchmark: 1277.0222, usercpu_time_millis: 35.17, usercpu_time_millis_testing: 2.402, usercpu_time_millis_training: 32.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1087.2079, mean_absolute_error: 0.1043, 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: 0.8792, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.9156, scimark_benchmark: 1252.2195, usercpu_time_millis: 77.585, usercpu_time_millis_testing: 3.673, usercpu_time_millis_training: 73.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.9063, kb_relative_information_score: -1150.3863, 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: 0.9196, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.9426, scimark_benchmark: 1260.618, usercpu_time_millis: 28.999, usercpu_time_millis_testing: 2.593, usercpu_time_millis_training: 26.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.9261, kappa: 0.241, kb_relative_information_score: -638.9148, mean_absolute_error: 0.0932, 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: 0.7856, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.8496, scimark_benchmark: 1269.9147, usercpu_time_millis: 101.736, usercpu_time_millis_testing: 4.347, usercpu_time_millis_training: 97.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.9248, kappa: 0.2284, kb_relative_information_score: -626.5515, mean_absolute_error: 0.0932, 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: 0.7855, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.8493, scimark_benchmark: 1264.0926, usercpu_time_millis: 57.708, usercpu_time_millis_testing: 3.044, usercpu_time_millis_training: 54.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -797.3273, mean_absolute_error: 0.0996, 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: 0.8397, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.8864, scimark_benchmark: 1266.4055, usercpu_time_millis: 56.783, usercpu_time_millis_testing: 5.093, usercpu_time_millis_training: 51.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.92, kappa: 0.1676, kb_relative_information_score: -670.2338, mean_absolute_error: 0.0952, 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: 0.8024, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.8624, scimark_benchmark: 1262.3022, usercpu_time_millis: 8.281, usercpu_time_millis_testing: 0.723, usercpu_time_millis_training: 7.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.9109, kappa: 0.0626, kb_relative_information_score: -1014.3289, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9141, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8291, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.9161, scimark_benchmark: 1268.503, usercpu_time_millis: 2.063, usercpu_time_millis_testing: 0.348, usercpu_time_millis_training: 1.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.924, kappa: 0.2194, kb_relative_information_score: -589.7713, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9349, 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: 0.2062, root_relative_squared_error: 0.8478, scimark_benchmark: 1255.4642, usercpu_time_millis: 38.447, usercpu_time_millis_testing: 2.804, usercpu_time_millis_training: 35.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.9063, kb_relative_information_score: -1111.6293, 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: 0.9086, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.9348, scimark_benchmark: 1274.5371, usercpu_time_millis: 28.533, usercpu_time_millis_testing: 3.091, usercpu_time_millis_training: 25.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -787.154, mean_absolute_error: 0.0966, 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: 0.8142, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8706, scimark_benchmark: 1262.5307, usercpu_time_millis: 105.734, usercpu_time_millis_testing: 4.623, usercpu_time_millis_training: 101.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8579, f_measure: 0.9063, kb_relative_information_score: -1222.1337, mean_absolute_error: 0.1089, 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: 0.9185, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.9427, scimark_benchmark: 1246.4774, usercpu_time_millis: 47.819, usercpu_time_millis_testing: 3.947, usercpu_time_millis_training: 43.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -773.9322, mean_absolute_error: 0.0966, 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: 0.8142, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8706, scimark_benchmark: 1243.6734, usercpu_time_millis: 36.663, usercpu_time_millis_testing: 1.822, usercpu_time_millis_training: 34.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.9262, kappa: 0.2497, kb_relative_information_score: -622.0384, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9335, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7754, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.8443, scimark_benchmark: 1250.823, usercpu_time_millis: 33.611, usercpu_time_millis_testing: 1.422, usercpu_time_millis_training: 32.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.9082, kappa: 0.0232, kb_relative_information_score: -906.5765, mean_absolute_error: 0.1012, 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: 0.853, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.8872, scimark_benchmark: 1265.4186, usercpu_time_millis: 59.535, usercpu_time_millis_testing: 4.471, usercpu_time_millis_training: 55.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.9136, kappa: 0.0885, kb_relative_information_score: -849.9764, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9366, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.8186, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.8726, scimark_benchmark: 1259.8061, usercpu_time_millis: 3.907, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 3.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.9276, kappa: 0.2697, kb_relative_information_score: -542.5781, mean_absolute_error: 0.0899, 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: 0.7578, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.8404, scimark_benchmark: 1251.7822, usercpu_time_millis: 110.625, usercpu_time_millis_testing: 5.861, usercpu_time_millis_training: 104.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -773.0862, mean_absolute_error: 0.0992, 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: 0.8365, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.8835, scimark_benchmark: 1271.2271, usercpu_time_millis: 24.583, usercpu_time_millis_testing: 2.236, usercpu_time_millis_training: 22.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.9063, kb_relative_information_score: -1263.2458, 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: 0.9196, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.9451, scimark_benchmark: 1246.9551, usercpu_time_millis: 10.432, usercpu_time_millis_testing: 0.701, usercpu_time_millis_training: 9.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.9063, kb_relative_information_score: -1204.8364, 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: 0.9057, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.9346, scimark_benchmark: 1244.1125, usercpu_time_millis: 62.801, usercpu_time_millis_testing: 4.371, usercpu_time_millis_training: 58.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.9133, kappa: 0.0873, kb_relative_information_score: -726.1612, mean_absolute_error: 0.097, 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: 0.8177, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.8667, scimark_benchmark: 1277.9987, usercpu_time_millis: 26.333, usercpu_time_millis_testing: 2.229, usercpu_time_millis_training: 24.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, f_measure: 0.9063, kb_relative_information_score: -946.8277, 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: 0.8856, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.9141, scimark_benchmark: 1276.2015, usercpu_time_millis: 15.865, usercpu_time_millis_testing: 1.531, usercpu_time_millis_training: 14.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.9115, kappa: 0.0658, kb_relative_information_score: -673.1205, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9271, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.815, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.8678, scimark_benchmark: 1267.857, usercpu_time_millis: 106.424, usercpu_time_millis_testing: 9.228, usercpu_time_millis_training: 97.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -784.4166, mean_absolute_error: 0.0976, 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: 0.8228, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.8779, scimark_benchmark: 1265.6122, usercpu_time_millis: 34.752, usercpu_time_millis_testing: 2.82, usercpu_time_millis_training: 31.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.9257, kappa: 0.2427, kb_relative_information_score: -584.7589, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9341, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7702, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.8466, scimark_benchmark: 1246.1193, usercpu_time_millis: 32.733, usercpu_time_millis_testing: 1.87, usercpu_time_millis_training: 30.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.9248, kappa: 0.2284, kb_relative_information_score: -616.3801, 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: 0.7824, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.8475, scimark_benchmark: 1273.6726, usercpu_time_millis: 59.322, usercpu_time_millis_testing: 3.32, usercpu_time_millis_training: 56.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.9063, kb_relative_information_score: -1226.948, 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: 0.2302, root_relative_squared_error: 0.9463, scimark_benchmark: 1267.0014, usercpu_time_millis: 20.779, usercpu_time_millis_testing: 1.714, usercpu_time_millis_training: 19.065,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.9227, kappa: 0.2026, kb_relative_information_score: -690.8974, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9351, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.8008, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8577, scimark_benchmark: 1254.068, usercpu_time_millis: 18.584, usercpu_time_millis_testing: 1.01, usercpu_time_millis_training: 17.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.9166, kappa: 0.1277, kb_relative_information_score: -702.8573, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9323, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.8138, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.862, scimark_benchmark: 1272.6796, usercpu_time_millis: 47.14, usercpu_time_millis_testing: 3.804, usercpu_time_millis_training: 43.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.9154, kappa: 0.1097, kb_relative_information_score: -699.89, 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: 0.7992, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.865, scimark_benchmark: 1269.5059, usercpu_time_millis: 47.609, usercpu_time_millis_testing: 2.658, usercpu_time_millis_training: 44.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.9063, kb_relative_information_score: -1023.4529, 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: 0.8998, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.9265, scimark_benchmark: 1250.8523, usercpu_time_millis: 14.673, usercpu_time_millis_testing: 1.402, usercpu_time_millis_training: 13.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -750.2105, mean_absolute_error: 0.0991, 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: 0.8352, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.878, scimark_benchmark: 1269.074, usercpu_time_millis: 44.727, usercpu_time_millis_testing: 4.517, usercpu_time_millis_training: 40.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.9063, kb_relative_information_score: -1117.6788, 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: 0.9053, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.9324, scimark_benchmark: 1264.78, usercpu_time_millis: 41.643, usercpu_time_millis_testing: 3.245, usercpu_time_millis_training: 38.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.9082, kappa: 0.0232, kb_relative_information_score: -700.2239, mean_absolute_error: 0.0982, 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: 0.8275, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.8766, scimark_benchmark: 1262.5586, usercpu_time_millis: 39.133, usercpu_time_millis_testing: 3.763, usercpu_time_millis_training: 35.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.9227, kappa: 0.2026, kb_relative_information_score: -651.7344, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9351, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7914, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8522, scimark_benchmark: 1273.1099, usercpu_time_millis: 40.115, usercpu_time_millis_testing: 2.545, usercpu_time_millis_training: 37.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.9169, kappa: 0.1291, kb_relative_information_score: -849.3808, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.936, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.8365, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.8712, scimark_benchmark: 1268.9318, usercpu_time_millis: 22.689, usercpu_time_millis_testing: 1.814, usercpu_time_millis_training: 20.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -638.409, mean_absolute_error: 0.0943, 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: 0.795, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.8531, scimark_benchmark: 1245.4824, usercpu_time_millis: 70.9, usercpu_time_millis_testing: 4.571, usercpu_time_millis_training: 66.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -759.2936, mean_absolute_error: 0.0973, 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: 0.8204, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.874, scimark_benchmark: 1273.2319, usercpu_time_millis: 22.834, usercpu_time_millis_testing: 1.792, usercpu_time_millis_training: 21.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.9127, kappa: 0.0778, kb_relative_information_score: -737.2625, mean_absolute_error: 0.0972, 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: 0.8192, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.8683, scimark_benchmark: 1274.0357, usercpu_time_millis: 75.386, usercpu_time_millis_testing: 5.825, usercpu_time_millis_training: 69.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.9082, kappa: 0.0232, kb_relative_information_score: -893.9163, mean_absolute_error: 0.101, 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: 0.8513, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.8875, scimark_benchmark: 1267.9629, usercpu_time_millis: 58.776, usercpu_time_millis_testing: 4.389, usercpu_time_millis_training: 54.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.9063, kb_relative_information_score: -1321.7364, 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: 0.9294, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.9515, scimark_benchmark: 1238.2723, usercpu_time_millis: 35.282, usercpu_time_millis_testing: 2.774, usercpu_time_millis_training: 32.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.926, kappa: 0.2445, kb_relative_information_score: -574.5333, mean_absolute_error: 0.0915, 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: 0.7715, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.206, root_relative_squared_error: 0.8469, scimark_benchmark: 1263.5261, usercpu_time_millis: 44.401, usercpu_time_millis_testing: 2.918, usercpu_time_millis_training: 41.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, f_measure: 0.9063, kb_relative_information_score: -1212.7402, 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: 0.9113, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.228, root_relative_squared_error: 0.9374, scimark_benchmark: 1245.982, usercpu_time_millis: 21.183, usercpu_time_millis_testing: 1.724, usercpu_time_millis_training: 19.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.9063, kb_relative_information_score: -846.8584, mean_absolute_error: 0.1021, 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: 0.861, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.8985, scimark_benchmark: 1265.2981, usercpu_time_millis: 19.942, usercpu_time_millis_testing: 1.861, usercpu_time_millis_training: 18.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.9255, kappa: 0.2374, kb_relative_information_score: -647.9711, mean_absolute_error: 0.0929, 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: 0.7835, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.8467, scimark_benchmark: 1267.2856, usercpu_time_millis: 39.004, usercpu_time_millis_testing: 2.209, usercpu_time_millis_training: 36.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.9063, kb_relative_information_score: -1128.0332, mean_absolute_error: 0.1101, 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: 0.9284, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.948, scimark_benchmark: 1257.9765, usercpu_time_millis: 33.998, usercpu_time_millis_testing: 3.156, usercpu_time_millis_training: 30.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.9063, kb_relative_information_score: -1151.1671, mean_absolute_error: 0.1063, 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: 0.8963, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.9284, scimark_benchmark: 1270.7476, usercpu_time_millis: 25.314, usercpu_time_millis_testing: 2.167, usercpu_time_millis_training: 23.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.9063, kb_relative_information_score: -1176.0364, 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: 0.8998, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.9312, scimark_benchmark: 1254.0289, usercpu_time_millis: 24.267, usercpu_time_millis_testing: 1.552, usercpu_time_millis_training: 22.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -756.0897, mean_absolute_error: 0.097, 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: 0.8182, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.8627, scimark_benchmark: 1272.1714, usercpu_time_millis: 20.321, usercpu_time_millis_testing: 1.413, usercpu_time_millis_training: 18.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -812.5402, mean_absolute_error: 0.099, 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: 0.8343, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.876, scimark_benchmark: 1255.789, usercpu_time_millis: 19.382, usercpu_time_millis_testing: 1.382, usercpu_time_millis_training: 18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.9063, kb_relative_information_score: -1028.5854, 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: 0.9031, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.9274, scimark_benchmark: 1245.3884, usercpu_time_millis: 19.555, usercpu_time_millis_testing: 2.051, usercpu_time_millis_training: 17.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -818.2805, mean_absolute_error: 0.0989, 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: 0.834, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.8772, scimark_benchmark: 1261.1621, usercpu_time_millis: 14.175, usercpu_time_millis_testing: 1.343, usercpu_time_millis_training: 12.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.9063, kb_relative_information_score: -1141.2888, 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: 0.9296, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.9489, scimark_benchmark: 1262.4005, usercpu_time_millis: 10.899, usercpu_time_millis_testing: 1.168, usercpu_time_millis_training: 9.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.9234, kappa: 0.2159, kb_relative_information_score: -651.4981, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9315, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7801, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.8584, scimark_benchmark: 1255.6293, usercpu_time_millis: 102.871, usercpu_time_millis_testing: 4.417, usercpu_time_millis_training: 98.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -933.9902, mean_absolute_error: 0.1004, 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: 0.8464, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.217, root_relative_squared_error: 0.8922, scimark_benchmark: 1267.292, usercpu_time_millis: 42.299, usercpu_time_millis_testing: 2.448, usercpu_time_millis_training: 39.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -889.6106, 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: 0.8317, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.8853, scimark_benchmark: 1258.9583, usercpu_time_millis: 99.938, usercpu_time_millis_testing: 4.505, usercpu_time_millis_training: 95.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -826.0261, 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: 0.8275, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.8775, scimark_benchmark: 1254.6636, usercpu_time_millis: 96.261, usercpu_time_millis_testing: 5.405, usercpu_time_millis_training: 90.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8582, f_measure: 0.9063, kb_relative_information_score: -1003.1109, 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: 0.9388, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.9537, scimark_benchmark: 1257.5189, usercpu_time_millis: 33.994, usercpu_time_millis_testing: 3.828, usercpu_time_millis_training: 30.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.9127, kappa: 0.0778, kb_relative_information_score: -641.6015, mean_absolute_error: 0.0954, 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: 0.8043, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.8665, scimark_benchmark: 1268.882, usercpu_time_millis: 17.218, usercpu_time_millis_testing: 1.711, usercpu_time_millis_training: 15.507,

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