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: 0.8797, f_measure: 0.9063, kb_relative_information_score: -1019.2816, mean_absolute_error: 0.1066, 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: 0.8991, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.225, root_relative_squared_error: 0.9251, scimark_benchmark: 1283.5413, usercpu_time_millis: 4.015, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 3.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1019.8895, 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: 0.8576, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.9012, scimark_benchmark: 1273.5474, usercpu_time_millis: 72.112, usercpu_time_millis_testing: 2.803, usercpu_time_millis_training: 69.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -633.2285, mean_absolute_error: 0.0956, 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: 0.8058, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.8657, scimark_benchmark: 1270.8409, usercpu_time_millis: 65.46, usercpu_time_millis_testing: 6.065, usercpu_time_millis_training: 59.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.914, kappa: 0.0967, kb_relative_information_score: -751.5541, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9281, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8115, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.8647, scimark_benchmark: 1286.6853, usercpu_time_millis: 35.249, usercpu_time_millis_testing: 1.877, usercpu_time_millis_training: 33.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -703.7542, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9292, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8084, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.8658, scimark_benchmark: 1278.5974, usercpu_time_millis: 61.064, usercpu_time_millis_testing: 4.372, usercpu_time_millis_training: 56.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.9063, kb_relative_information_score: -991.5568, mean_absolute_error: 0.1059, 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: 0.893, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.9215, scimark_benchmark: 1289.5449, usercpu_time_millis: 30.57, usercpu_time_millis_testing: 2.571, usercpu_time_millis_training: 27.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.9245, kappa: 0.2228, kb_relative_information_score: -650.7102, mean_absolute_error: 0.094, 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: 0.7921, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.207, root_relative_squared_error: 0.8511, scimark_benchmark: 1281.8247, usercpu_time_millis: 123.035, usercpu_time_millis_testing: 6.237, usercpu_time_millis_training: 116.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -618.874, 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: 0.7892, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.852, scimark_benchmark: 1277.2453, usercpu_time_millis: 49.562, usercpu_time_millis_testing: 3.688, usercpu_time_millis_training: 45.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.92, kappa: 0.1676, kb_relative_information_score: -667.0987, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9364, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.8017, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8578, scimark_benchmark: 1255.9732, usercpu_time_millis: 43.79, usercpu_time_millis_testing: 2.915, usercpu_time_millis_training: 40.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.9063, kb_relative_information_score: -1055.8249, mean_absolute_error: 0.1057, 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: 0.8914, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.9222, scimark_benchmark: 1261.4277, usercpu_time_millis: 42.64, usercpu_time_millis_testing: 3.448, usercpu_time_millis_training: 39.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.9238, kappa: 0.2136, kb_relative_information_score: -600.8173, mean_absolute_error: 0.0926, 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: 0.7809, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.8521, scimark_benchmark: 1263.9364, usercpu_time_millis: 36.327, usercpu_time_millis_testing: 2.456, usercpu_time_millis_training: 33.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.9166, kappa: 0.1277, kb_relative_information_score: -686.3195, mean_absolute_error: 0.096, 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: 0.8092, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.8611, scimark_benchmark: 1257.1743, usercpu_time_millis: 26.884, usercpu_time_millis_testing: 2.308, usercpu_time_millis_training: 24.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.9275, kappa: 0.262, kb_relative_information_score: -563.4698, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7651, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.8418, scimark_benchmark: 1266.5459, usercpu_time_millis: 77.887, usercpu_time_millis_testing: 3.887, usercpu_time_millis_training: 74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.9063, kb_relative_information_score: -1012.3629, 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: 0.2308, root_relative_squared_error: 0.9487, scimark_benchmark: 1272.7736, usercpu_time_millis: 10.539, usercpu_time_millis_testing: 1.325, usercpu_time_millis_training: 9.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -988.1366, mean_absolute_error: 0.1005, 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: 0.8476, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.8973, scimark_benchmark: 1282.3809, usercpu_time_millis: 107.176, usercpu_time_millis_testing: 5.385, usercpu_time_millis_training: 101.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -731.5183, mean_absolute_error: 0.0988, 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: 0.8328, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.8786, scimark_benchmark: 1282.4396, usercpu_time_millis: 45.103, usercpu_time_millis_testing: 4.259, usercpu_time_millis_training: 40.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.9063, kb_relative_information_score: -882.1573, 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: 0.8681, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.9034, scimark_benchmark: 1275.9082, usercpu_time_millis: 36.677, usercpu_time_millis_testing: 3.722, usercpu_time_millis_training: 32.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -733.0543, mean_absolute_error: 0.0974, 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: 0.8211, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.874, scimark_benchmark: 1273.4251, usercpu_time_millis: 71.12, usercpu_time_millis_testing: 6.502, usercpu_time_millis_training: 64.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -654.9485, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.8513, scimark_benchmark: 1282.2324, usercpu_time_millis: 23.216, usercpu_time_millis_testing: 1.956, usercpu_time_millis_training: 21.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.9245, kappa: 0.2267, kb_relative_information_score: -612.2348, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.934, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.8501, scimark_benchmark: 1276.532, usercpu_time_millis: 34.208, usercpu_time_millis_testing: 1.919, usercpu_time_millis_training: 32.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.9063, kb_relative_information_score: -1162.5556, 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: 0.9118, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.9371, scimark_benchmark: 1276.4552, usercpu_time_millis: 31.848, usercpu_time_millis_testing: 2.571, usercpu_time_millis_training: 29.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.9063, kb_relative_information_score: -816.525, mean_absolute_error: 0.1016, 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: 0.8566, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.8942, scimark_benchmark: 1245.9367, usercpu_time_millis: 17.947, usercpu_time_millis_testing: 1.765, usercpu_time_millis_training: 16.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.9063, kb_relative_information_score: -1287.1946, 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: 0.9244, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.9486, scimark_benchmark: 1284.4337, usercpu_time_millis: 51.808, usercpu_time_millis_testing: 4.062, usercpu_time_millis_training: 47.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -932.1769, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8435, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.8893, scimark_benchmark: 1281.8477, usercpu_time_millis: 21.814, usercpu_time_millis_testing: 0.968, usercpu_time_millis_training: 20.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.9063, kb_relative_information_score: -910.6464, mean_absolute_error: 0.1027, 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: 0.8661, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.9042, scimark_benchmark: 1271.8243, usercpu_time_millis: 8.796, usercpu_time_millis_testing: 0.838, usercpu_time_millis_training: 7.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8946, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -925.5238, mean_absolute_error: 0.1012, 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: 0.8533, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.894, scimark_benchmark: 1273.4888, usercpu_time_millis: 43.39, usercpu_time_millis_testing: 3.668, usercpu_time_millis_training: 39.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: 1.6585, 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: 1277.6538, usercpu_time_millis: 13.973, usercpu_time_millis_testing: 1.28, usercpu_time_millis_training: 12.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.9063, kb_relative_information_score: -1238.498, 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: 0.9221, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.23, root_relative_squared_error: 0.9455, scimark_benchmark: 1276.2359, usercpu_time_millis: 32.71, usercpu_time_millis_testing: 2.985, usercpu_time_millis_training: 29.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.9106, kappa: 0.0549, kb_relative_information_score: -779.5271, mean_absolute_error: 0.0961, 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: 0.8099, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.8737, scimark_benchmark: 1272.2161, usercpu_time_millis: 30.957, usercpu_time_millis_testing: 2.07, usercpu_time_millis_training: 28.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.9063, kb_relative_information_score: -1314.7329, 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: 0.9207, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.9461, scimark_benchmark: 1271.7284, usercpu_time_millis: 25.81, usercpu_time_millis_testing: 2.181, usercpu_time_millis_training: 23.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.9063, kb_relative_information_score: -1159.9331, 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: 0.2287, root_relative_squared_error: 0.9401, scimark_benchmark: 1269.7098, usercpu_time_millis: 5.828, usercpu_time_millis_testing: 0.505, usercpu_time_millis_training: 5.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -793.8572, mean_absolute_error: 0.0987, 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: 0.8325, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.8787, scimark_benchmark: 1242.6512, usercpu_time_millis: 63.35, usercpu_time_millis_testing: 4.76, usercpu_time_millis_training: 58.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -943.5301, mean_absolute_error: 0.1007, 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: 0.8491, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.8956, scimark_benchmark: 1273.865, usercpu_time_millis: 63.295, usercpu_time_millis_testing: 4.442, usercpu_time_millis_training: 58.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.9063, kb_relative_information_score: -1124.0959, mean_absolute_error: 0.1066, 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: 0.8984, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.9283, scimark_benchmark: 1284.7421, usercpu_time_millis: 43.203, usercpu_time_millis_testing: 3.337, usercpu_time_millis_training: 39.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -755.4347, mean_absolute_error: 0.0968, 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: 0.8165, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.212, root_relative_squared_error: 0.8717, scimark_benchmark: 1283.7309, usercpu_time_millis: 71.464, usercpu_time_millis_testing: 5.081, usercpu_time_millis_training: 66.383,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -694.6243, mean_absolute_error: 0.0957, 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: 0.8067, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.8609, scimark_benchmark: 1270.6529, usercpu_time_millis: 11.896, usercpu_time_millis_testing: 0.78, usercpu_time_millis_training: 11.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -877.5495, mean_absolute_error: 0.1001, 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: 0.8437, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.8897, scimark_benchmark: 1275.5003, usercpu_time_millis: 5.187, usercpu_time_millis_testing: 0.403, usercpu_time_millis_training: 4.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.9274, kappa: 0.265, kb_relative_information_score: -554.2088, mean_absolute_error: 0.0907, 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: 0.7645, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.205, root_relative_squared_error: 0.8428, scimark_benchmark: 1284.1367, usercpu_time_millis: 117.085, usercpu_time_millis_testing: 6.324, usercpu_time_millis_training: 110.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -801.382, mean_absolute_error: 0.0983, 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: 0.8285, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.213, root_relative_squared_error: 0.8758, scimark_benchmark: 1286.0937, usercpu_time_millis: 57.514, usercpu_time_millis_testing: 3.707, usercpu_time_millis_training: 53.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.9281, kappa: 0.2735, kb_relative_information_score: -551.4621, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9346, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.8405, scimark_benchmark: 1286.7122, usercpu_time_millis: 167.984, usercpu_time_millis_testing: 7.538, usercpu_time_millis_training: 160.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.9063, kb_relative_information_score: -1059.2811, mean_absolute_error: 0.1065, 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: 0.8982, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.9257, scimark_benchmark: 1272.3043, usercpu_time_millis: 46.003, usercpu_time_millis_testing: 4.016, usercpu_time_millis_training: 41.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -918.4201, 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: 0.8403, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.8907, scimark_benchmark: 1265.4033, usercpu_time_millis: 45.497, usercpu_time_millis_testing: 2.538, usercpu_time_millis_training: 42.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -796.8561, mean_absolute_error: 0.0978, 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: 0.8243, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.8744, scimark_benchmark: 1281.6421, usercpu_time_millis: 62.859, usercpu_time_millis_testing: 4.044, usercpu_time_millis_training: 58.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -808.2787, 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: 0.8369, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.8818, scimark_benchmark: 1261.8478, usercpu_time_millis: 34.913, usercpu_time_millis_testing: 3.064, usercpu_time_millis_training: 31.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.9261, kappa: 0.241, kb_relative_information_score: -661.3425, mean_absolute_error: 0.0938, 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: 0.7912, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8525, scimark_benchmark: 1269.5033, usercpu_time_millis: 121.96, usercpu_time_millis_testing: 6.013, usercpu_time_millis_training: 115.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.9227, kappa: 0.2026, kb_relative_information_score: -660.9509, mean_absolute_error: 0.0934, 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: 0.7871, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8526, scimark_benchmark: 1287.6235, usercpu_time_millis: 21.651, usercpu_time_millis_testing: 1.299, usercpu_time_millis_training: 20.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -653.8, 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: 0.8141, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.8696, scimark_benchmark: 1234.1971, usercpu_time_millis: 107.22, usercpu_time_millis_testing: 9.962, usercpu_time_millis_training: 97.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.9272, kappa: 0.2602, kb_relative_information_score: -549.1394, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9357, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.8445, scimark_benchmark: 1254.2258, usercpu_time_millis: 159.623, usercpu_time_millis_testing: 8.048, usercpu_time_millis_training: 151.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.92, kappa: 0.1676, kb_relative_information_score: -692.1082, 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: 0.8029, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.8585, scimark_benchmark: 1265.6541, usercpu_time_millis: 59.502, usercpu_time_millis_testing: 3.875, usercpu_time_millis_training: 55.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -1011.6147, mean_absolute_error: 0.1039, 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: 0.876, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.9103, scimark_benchmark: 1250.86, usercpu_time_millis: 12.643, usercpu_time_millis_testing: 1.041, usercpu_time_millis_training: 11.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.9258, kappa: 0.2392, kb_relative_information_score: -617.0835, mean_absolute_error: 0.0927, 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: 0.7816, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.206, root_relative_squared_error: 0.8469, scimark_benchmark: 1272.8181, usercpu_time_millis: 140.188, usercpu_time_millis_testing: 7.022, usercpu_time_millis_training: 133.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1095.9247, mean_absolute_error: 0.1039, 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: 0.8758, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.9147, scimark_benchmark: 1283.8829, usercpu_time_millis: 29.351, usercpu_time_millis_testing: 1.853, usercpu_time_millis_training: 27.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -827.9518, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8375, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.8787, scimark_benchmark: 1263.7586, usercpu_time_millis: 57.441, usercpu_time_millis_testing: 4.474, usercpu_time_millis_training: 52.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.9274, kappa: 0.265, kb_relative_information_score: -574.5231, mean_absolute_error: 0.0907, 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: 0.7649, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.8464, scimark_benchmark: 1269.7885, usercpu_time_millis: 55.828, usercpu_time_millis_testing: 2.637, usercpu_time_millis_training: 53.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.9063, kb_relative_information_score: -1075.3672, mean_absolute_error: 0.1079, 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: 0.9097, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.934, scimark_benchmark: 1282.0709, usercpu_time_millis: 21.132, usercpu_time_millis_testing: 1.939, usercpu_time_millis_training: 19.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -909.3406, mean_absolute_error: 0.1032, 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: 0.8697, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.9026, scimark_benchmark: 1289.0289, usercpu_time_millis: 16.757, usercpu_time_millis_testing: 1.871, usercpu_time_millis_training: 14.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -748.3233, mean_absolute_error: 0.0964, 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: 0.8131, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.8721, scimark_benchmark: 1283.3149, usercpu_time_millis: 65.836, usercpu_time_millis_testing: 4.408, usercpu_time_millis_training: 61.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.9063, kb_relative_information_score: -1146.4416, 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: 0.9256, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.9463, scimark_benchmark: 1264.5439, usercpu_time_millis: 6.548, usercpu_time_millis_testing: 0.644, usercpu_time_millis_training: 5.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, f_measure: 0.9063, kb_relative_information_score: -1041.852, 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: 0.2235, root_relative_squared_error: 0.9188, scimark_benchmark: 1276.4567, usercpu_time_millis: 51.464, usercpu_time_millis_testing: 4.857, usercpu_time_millis_training: 46.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -626.6644, mean_absolute_error: 0.093, 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: 0.7845, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.8558, scimark_benchmark: 1276.5893, usercpu_time_millis: 86.392, usercpu_time_millis_testing: 5.162, usercpu_time_millis_training: 81.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.9172, kappa: 0.1364, kb_relative_information_score: -680.2493, mean_absolute_error: 0.0945, 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: 0.7968, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.8623, scimark_benchmark: 1284.6137, usercpu_time_millis: 23.884, usercpu_time_millis_testing: 1.416, usercpu_time_millis_training: 22.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.9063, kb_relative_information_score: -1352.746, 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: 0.9272, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.9507, scimark_benchmark: 1265.8917, usercpu_time_millis: 22.869, usercpu_time_millis_testing: 1.773, usercpu_time_millis_training: 21.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.9203, kappa: 0.1742, kb_relative_information_score: -661.0059, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9323, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7897, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.8534, scimark_benchmark: 1278.9302, usercpu_time_millis: 19.545, usercpu_time_millis_testing: 1.284, usercpu_time_millis_training: 18.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.9256, kappa: 0.2461, kb_relative_information_score: -580.582, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.931, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7701, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.8482, scimark_benchmark: 1282.3454, usercpu_time_millis: 16.621, usercpu_time_millis_testing: 0.873, usercpu_time_millis_training: 15.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -945.5979, mean_absolute_error: 0.1009, 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: 0.8508, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.8945, scimark_benchmark: 1268.3051, usercpu_time_millis: 15.594, usercpu_time_millis_testing: 1.049, usercpu_time_millis_training: 14.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -928.0054, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.8912, scimark_benchmark: 1282.2359, usercpu_time_millis: 11.472, usercpu_time_millis_testing: 0.796, usercpu_time_millis_training: 10.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.9149, kappa: 0.1071, kb_relative_information_score: -683.1767, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9297, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.797, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.8649, scimark_benchmark: 1237.0963, usercpu_time_millis: 55.586, usercpu_time_millis_testing: 3.159, usercpu_time_millis_training: 52.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.9267, kappa: 0.2565, kb_relative_information_score: -558.4221, mean_absolute_error: 0.091, 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: 0.7673, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.8464, scimark_benchmark: 1255.6233, usercpu_time_millis: 31.512, usercpu_time_millis_testing: 1.931, usercpu_time_millis_training: 29.581,

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

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