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: 0.878, f_measure: 0.9063, kb_relative_information_score: -1043.5005, mean_absolute_error: 0.1077, 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: 0.9084, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.9329, scimark_benchmark: 1272.405, usercpu_time_millis: 33.748, usercpu_time_millis_testing: 3.588, usercpu_time_millis_training: 30.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -656.4916, mean_absolute_error: 0.0965, 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: 0.8132, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.8695, scimark_benchmark: 1263.7285, usercpu_time_millis: 108.217, usercpu_time_millis_testing: 9.053, usercpu_time_millis_training: 99.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -795.0399, mean_absolute_error: 0.099, 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: 0.8348, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.8816, scimark_benchmark: 1244.694, usercpu_time_millis: 24.681, usercpu_time_millis_testing: 1.942, usercpu_time_millis_training: 22.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.9127, kappa: 0.0778, kb_relative_information_score: -763.6669, mean_absolute_error: 0.0963, 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: 0.8121, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.8681, scimark_benchmark: 1251.8892, usercpu_time_millis: 114.366, usercpu_time_millis_testing: 5.291, usercpu_time_millis_training: 109.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.925, kappa: 0.2302, kb_relative_information_score: -641.9828, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9375, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7831, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.8482, scimark_benchmark: 1262.3198, usercpu_time_millis: 51.43, usercpu_time_millis_testing: 2.587, usercpu_time_millis_training: 48.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.9127, kappa: 0.0778, kb_relative_information_score: -718.137, mean_absolute_error: 0.0951, 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: 0.8018, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.8669, scimark_benchmark: 1272.2951, usercpu_time_millis: 51.633, usercpu_time_millis_testing: 3.26, usercpu_time_millis_training: 48.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -893.3365, mean_absolute_error: 0.1016, 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: 0.8562, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.8953, scimark_benchmark: 1250.7902, usercpu_time_millis: 31.597, usercpu_time_millis_testing: 2.69, usercpu_time_millis_training: 28.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -745.0083, mean_absolute_error: 0.0959, 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: 0.8084, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.87, scimark_benchmark: 1270.0967, usercpu_time_millis: 45.384, usercpu_time_millis_testing: 3.124, usercpu_time_millis_training: 42.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -641.9175, mean_absolute_error: 0.0947, 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: 0.7984, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.8623, scimark_benchmark: 1271.3252, usercpu_time_millis: 34.501, usercpu_time_millis_testing: 3.092, usercpu_time_millis_training: 31.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.9238, kappa: 0.2136, kb_relative_information_score: -652.068, 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: 0.789, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.8596, scimark_benchmark: 1263.7783, usercpu_time_millis: 13.075, usercpu_time_millis_testing: 0.655, usercpu_time_millis_training: 12.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -910.0064, 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: 0.8459, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.8914, scimark_benchmark: 1268.9382, usercpu_time_millis: 23.974, usercpu_time_millis_testing: 1.844, usercpu_time_millis_training: 22.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.9063, kb_relative_information_score: -1129.715, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9006, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.9302, scimark_benchmark: 1259.6795, usercpu_time_millis: 20.363, usercpu_time_millis_testing: 1.721, usercpu_time_millis_training: 18.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.924, kappa: 0.2194, kb_relative_information_score: -606.66, mean_absolute_error: 0.0925, 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: 0.7795, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.207, root_relative_squared_error: 0.851, scimark_benchmark: 1274.4555, usercpu_time_millis: 66.613, usercpu_time_millis_testing: 3.411, usercpu_time_millis_training: 63.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.9127, kappa: 0.0778, kb_relative_information_score: -725.1714, 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: 0.8041, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.211, root_relative_squared_error: 0.8676, scimark_benchmark: 1252.126, usercpu_time_millis: 72.025, usercpu_time_millis_testing: 4.635, usercpu_time_millis_training: 67.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.9214, kappa: 0.1854, kb_relative_information_score: -658.1869, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9356, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.795, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.854, scimark_benchmark: 1275.2449, usercpu_time_millis: 42.194, usercpu_time_millis_testing: 2.799, usercpu_time_millis_training: 39.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -674.9969, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9347, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7999, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8574, scimark_benchmark: 1245.5969, usercpu_time_millis: 86.756, usercpu_time_millis_testing: 5.276, usercpu_time_millis_training: 81.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.9237, kappa: 0.2176, kb_relative_information_score: -653.0585, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9331, 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: 0.2077, root_relative_squared_error: 0.8539, scimark_benchmark: 1275.9004, usercpu_time_millis: 32.872, usercpu_time_millis_testing: 1.532, usercpu_time_millis_training: 31.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.9216, kappa: 0.187, kb_relative_information_score: -653.59, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.938, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7953, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.8535, scimark_benchmark: 1242.4016, usercpu_time_millis: 122.713, usercpu_time_millis_testing: 7.616, usercpu_time_millis_training: 115.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.9133, kappa: 0.0873, kb_relative_information_score: -706.2426, mean_absolute_error: 0.0952, 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: 0.8022, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.8667, scimark_benchmark: 1262.6146, usercpu_time_millis: 73.498, usercpu_time_millis_testing: 4.322, usercpu_time_millis_training: 69.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -680.3119, mean_absolute_error: 0.0959, 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: 0.8084, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.8603, scimark_benchmark: 1233.8884, usercpu_time_millis: 73.418, usercpu_time_millis_testing: 5.122, usercpu_time_millis_training: 68.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -810.0122, 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: 0.8257, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.875, scimark_benchmark: 1265.0669, usercpu_time_millis: 29.908, usercpu_time_millis_testing: 1.879, usercpu_time_millis_training: 28.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.9115, kappa: 0.0658, kb_relative_information_score: -791.3819, mean_absolute_error: 0.0983, 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: 0.8285, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.8723, scimark_benchmark: 1271.0263, usercpu_time_millis: 14.634, usercpu_time_millis_testing: 1.022, usercpu_time_millis_training: 13.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.9063, kb_relative_information_score: -923.6169, mean_absolute_error: 0.1043, 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: 0.879, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.9109, scimark_benchmark: 1251.4949, usercpu_time_millis: 51.031, usercpu_time_millis_testing: 5.066, usercpu_time_millis_training: 45.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1044.1597, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8687, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.9072, scimark_benchmark: 1274.1296, usercpu_time_millis: 67.451, usercpu_time_millis_testing: 4.101, usercpu_time_millis_training: 63.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.9063, kb_relative_information_score: -1080.445, 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: 0.9143, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.9388, scimark_benchmark: 1268.7265, usercpu_time_millis: 6.671, usercpu_time_millis_testing: 0.603, usercpu_time_millis_training: 6.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8047, f_measure: 0.9223, kappa: 0.2133, kb_relative_information_score: -1074.3891, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9237, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.7674, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.9214, scimark_benchmark: 1260.6645, usercpu_time_millis: 2.069, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 1.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -875.5934, mean_absolute_error: 0.1008, 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: 0.8501, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.8937, scimark_benchmark: 1269.2047, usercpu_time_millis: 37.488, usercpu_time_millis_testing: 3.179, usercpu_time_millis_training: 34.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.925, kappa: 0.2302, kb_relative_information_score: -642.5803, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9375, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.788, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.8513, scimark_benchmark: 1250.7883, usercpu_time_millis: 58.891, usercpu_time_millis_testing: 3.197, usercpu_time_millis_training: 55.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.9255, kappa: 0.2409, kb_relative_information_score: -576.5355, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9327, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.8458, scimark_benchmark: 1258.7166, usercpu_time_millis: 125.2, usercpu_time_millis_testing: 5.756, usercpu_time_millis_training: 119.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.9063, kb_relative_information_score: -1147.4948, 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: 0.9313, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.9513, scimark_benchmark: 1247.0313, usercpu_time_millis: 9.121, usercpu_time_millis_testing: 0.838, usercpu_time_millis_training: 8.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.9063, kb_relative_information_score: -1010.7549, mean_absolute_error: 0.1095, 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: 0.9234, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.9423, scimark_benchmark: 1249.1923, usercpu_time_millis: 26.097, usercpu_time_millis_testing: 2.85, usercpu_time_millis_training: 23.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.9271, kappa: 0.2632, kb_relative_information_score: -536.016, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9326, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7591, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.8413, scimark_benchmark: 1276.622, usercpu_time_millis: 80.154, usercpu_time_millis_testing: 4.256, usercpu_time_millis_training: 75.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.9263, kappa: 0.2463, kb_relative_information_score: -634.8037, mean_absolute_error: 0.093, 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: 0.7845, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.8486, scimark_benchmark: 1265.8654, usercpu_time_millis: 42.794, usercpu_time_millis_testing: 2.383, usercpu_time_millis_training: 40.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -800.4763, mean_absolute_error: 0.0982, 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: 0.8277, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.8753, scimark_benchmark: 1236.1212, usercpu_time_millis: 32.231, usercpu_time_millis_testing: 2.31, usercpu_time_millis_training: 29.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -905.1879, mean_absolute_error: 0.0974, 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: 0.8214, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.8816, scimark_benchmark: 1267.295, usercpu_time_millis: 3.533, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 3.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.9063, kb_relative_information_score: -841.746, mean_absolute_error: 0.1129, 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: 0.9518, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.9635, scimark_benchmark: 1256.8911, usercpu_time_millis: 24.696, usercpu_time_millis_testing: 2.724, usercpu_time_millis_training: 21.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -981.7801, mean_absolute_error: 0.1014, 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: 0.855, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.219, root_relative_squared_error: 0.9003, scimark_benchmark: 1251.0549, usercpu_time_millis: 48.101, usercpu_time_millis_testing: 3.645, usercpu_time_millis_training: 44.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.9245, kappa: 0.2228, kb_relative_information_score: -681.1591, mean_absolute_error: 0.0941, 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: 0.7933, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.208, root_relative_squared_error: 0.8551, scimark_benchmark: 1273.5714, usercpu_time_millis: 157.433, usercpu_time_millis_testing: 6.099, usercpu_time_millis_training: 151.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.9166, kappa: 0.1277, kb_relative_information_score: -735.5538, mean_absolute_error: 0.097, 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: 0.8178, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.866, scimark_benchmark: 1246.489, usercpu_time_millis: 57.49, usercpu_time_millis_testing: 3.856, usercpu_time_millis_training: 53.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -801.4593, mean_absolute_error: 0.1002, 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: 0.845, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.216, root_relative_squared_error: 0.8881, scimark_benchmark: 1271.6347, usercpu_time_millis: 38.499, usercpu_time_millis_testing: 4.31, usercpu_time_millis_training: 34.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.914, kappa: 0.0967, kb_relative_information_score: -721.3488, mean_absolute_error: 0.096, 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: 0.809, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.8632, scimark_benchmark: 1245.9497, usercpu_time_millis: 28.964, usercpu_time_millis_testing: 1.621, usercpu_time_millis_training: 27.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -911.9986, mean_absolute_error: 0.1013, 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: 0.8537, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.897, scimark_benchmark: 1245.8511, usercpu_time_millis: 62.985, usercpu_time_millis_testing: 5.314, usercpu_time_millis_training: 57.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.9063, kb_relative_information_score: -1087.5791, 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: 0.9179, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.9398, scimark_benchmark: 1274.504, usercpu_time_millis: 36.994, usercpu_time_millis_testing: 3.399, usercpu_time_millis_training: 33.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -835.5089, 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: 0.8324, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.8784, scimark_benchmark: 1263.1329, usercpu_time_millis: 59.168, usercpu_time_millis_testing: 3.497, usercpu_time_millis_training: 55.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -958.1909, mean_absolute_error: 0.1021, 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: 0.8609, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.9021, scimark_benchmark: 1269.0387, usercpu_time_millis: 43.527, usercpu_time_millis_testing: 3.796, usercpu_time_millis_training: 39.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.925, kappa: 0.2339, kb_relative_information_score: -635.4998, 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: 0.7768, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.8461, scimark_benchmark: 1249.5591, usercpu_time_millis: 44.625, usercpu_time_millis_testing: 1.938, usercpu_time_millis_training: 42.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.9063, kb_relative_information_score: -1080.9239, mean_absolute_error: 0.1055, 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: 0.8897, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.9194, scimark_benchmark: 1264.3499, usercpu_time_millis: 35.121, usercpu_time_millis_testing: 2.624, usercpu_time_millis_training: 32.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -867.1125, 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: 0.84, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.8896, scimark_benchmark: 1255.1804, usercpu_time_millis: 9.13, usercpu_time_millis_testing: 0.729, usercpu_time_millis_training: 8.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -697.0115, 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: 0.8035, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.8643, scimark_benchmark: 1267.5386, usercpu_time_millis: 106.298, usercpu_time_millis_testing: 5.675, usercpu_time_millis_training: 100.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.9063, kb_relative_information_score: -884.4054, mean_absolute_error: 0.1128, 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: 0.9506, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.234, root_relative_squared_error: 0.9619, scimark_benchmark: 1264.1316, usercpu_time_millis: 13.077, usercpu_time_millis_testing: 1.242, usercpu_time_millis_training: 11.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.9245, kappa: 0.2267, kb_relative_information_score: -600.5258, mean_absolute_error: 0.0922, 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: 0.7772, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.8537, scimark_benchmark: 1255.0425, usercpu_time_millis: 10.412, usercpu_time_millis_testing: 0.52, usercpu_time_millis_training: 9.892,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.9063, kb_relative_information_score: -1288.0222, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9162, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.9445, scimark_benchmark: 1255.6976, usercpu_time_millis: 2.025, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 1.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.9157, kappa: 0.1175, kb_relative_information_score: -716.5467, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9311, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.8183, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.8637, scimark_benchmark: 1272.9072, usercpu_time_millis: 69.043, usercpu_time_millis_testing: 5.983, usercpu_time_millis_training: 63.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.9235, kappa: 0.2119, kb_relative_information_score: -660.637, mean_absolute_error: 0.0945, 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: 0.7968, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.8546, scimark_benchmark: 1258.3734, usercpu_time_millis: 50.891, usercpu_time_millis_testing: 3.168, usercpu_time_millis_training: 47.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.9238, kappa: 0.2136, kb_relative_information_score: -661.8512, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.938, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7952, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8539, scimark_benchmark: 1262.2221, usercpu_time_millis: 60.898, usercpu_time_millis_testing: 3.696, usercpu_time_millis_training: 57.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.9063, kb_relative_information_score: -1077.2952, 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: 0.882, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.9141, scimark_benchmark: 1248.2251, usercpu_time_millis: 55.053, usercpu_time_millis_testing: 3.879, usercpu_time_millis_training: 51.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.9063, kb_relative_information_score: -1230.8562, 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: 0.9281, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.9508, scimark_benchmark: 1273.2738, usercpu_time_millis: 37.012, usercpu_time_millis_testing: 3.009, usercpu_time_millis_training: 34.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9235, kappa: 0.2119, kb_relative_information_score: -673.3091, mean_absolute_error: 0.0945, 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: 0.7968, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.8536, scimark_benchmark: 1270.7906, usercpu_time_millis: 46.381, usercpu_time_millis_testing: 2.876, usercpu_time_millis_training: 43.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -676.0532, mean_absolute_error: 0.0961, 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: 0.8099, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.8638, scimark_benchmark: 1267.776, usercpu_time_millis: 29.078, usercpu_time_millis_testing: 2.397, usercpu_time_millis_training: 26.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.9208, kappa: 0.1773, kb_relative_information_score: -731.3271, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.8082, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.862, scimark_benchmark: 1259.1152, usercpu_time_millis: 30.629, usercpu_time_millis_testing: 1.874, usercpu_time_millis_training: 28.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.9111, kappa: 0.057, kb_relative_information_score: -824.8057, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9426, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8417, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.8777, scimark_benchmark: 1268.8771, usercpu_time_millis: 36.599, usercpu_time_millis_testing: 3.145, usercpu_time_millis_training: 33.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1061.0808, 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: 0.8709, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.9093, scimark_benchmark: 1259.0447, usercpu_time_millis: 34.767, usercpu_time_millis_testing: 1.91, usercpu_time_millis_training: 32.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.9191, kappa: 0.1578, kb_relative_information_score: -722.8076, mean_absolute_error: 0.0961, 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: 0.8105, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.8623, scimark_benchmark: 1268.7411, usercpu_time_millis: 88.677, usercpu_time_millis_testing: 5.427, usercpu_time_millis_training: 83.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.9063, kb_relative_information_score: -1393.1535, 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: 0.9293, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.9537, scimark_benchmark: 1251.7442, usercpu_time_millis: 13.101, usercpu_time_millis_testing: 0.858, usercpu_time_millis_training: 12.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -855.5293, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8403, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.8774, scimark_benchmark: 1242.3314, usercpu_time_millis: 8.922, usercpu_time_millis_testing: 0.768, usercpu_time_millis_training: 8.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -753.0034, mean_absolute_error: 0.0984, 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: 0.8292, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.8711, scimark_benchmark: 1266.5526, usercpu_time_millis: 55.321, usercpu_time_millis_testing: 4.796, usercpu_time_millis_training: 50.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -635.7406, mean_absolute_error: 0.0939, 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: 0.792, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.8566, scimark_benchmark: 1258.4031, usercpu_time_millis: 41.275, usercpu_time_millis_testing: 2.937, usercpu_time_millis_training: 38.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.9197, kappa: 0.1661, kb_relative_information_score: -699.3208, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9337, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.8076, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.861, scimark_benchmark: 1249.2594, usercpu_time_millis: 38.746, usercpu_time_millis_testing: 2.378, usercpu_time_millis_training: 36.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.9269, kappa: 0.2583, kb_relative_information_score: -606.9869, mean_absolute_error: 0.0921, 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: 0.7766, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.8453, scimark_benchmark: 1255.8944, usercpu_time_millis: 93.443, usercpu_time_millis_testing: 4.984, usercpu_time_millis_training: 88.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -655.8601, mean_absolute_error: 0.0951, 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: 0.802, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.858, scimark_benchmark: 1259.4188, usercpu_time_millis: 89.509, usercpu_time_millis_testing: 7.105, usercpu_time_millis_training: 82.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.925, kappa: 0.2302, kb_relative_information_score: -605.6153, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9375, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7851, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.8537, scimark_benchmark: 1251.2037, usercpu_time_millis: 32.048, usercpu_time_millis_testing: 1.858, usercpu_time_millis_training: 30.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, f_measure: 0.9063, kb_relative_information_score: -1110.1459, mean_absolute_error: 0.1049, 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: 0.8842, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.9186, scimark_benchmark: 1266.7756, usercpu_time_millis: 62.497, usercpu_time_millis_testing: 3.829, usercpu_time_millis_training: 58.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.9245, kappa: 0.2228, kb_relative_information_score: -684.039, mean_absolute_error: 0.0946, 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: 0.7977, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8571, scimark_benchmark: 1253.9117, usercpu_time_millis: 82.698, usercpu_time_millis_testing: 4.129, usercpu_time_millis_training: 78.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.9274, kappa: 0.265, kb_relative_information_score: -571.1875, mean_absolute_error: 0.091, 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: 0.767, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.8472, scimark_benchmark: 1270.8373, usercpu_time_millis: 141.549, usercpu_time_millis_testing: 7.248, usercpu_time_millis_training: 134.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.9263, kappa: 0.2463, kb_relative_information_score: -634.7867, mean_absolute_error: 0.0923, 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: 0.778, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.8435, scimark_benchmark: 1266.8186, usercpu_time_millis: 130.096, usercpu_time_millis_testing: 5.606, usercpu_time_millis_training: 124.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.9063, kb_relative_information_score: -1108.7173, 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: 0.891, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.9196, scimark_benchmark: 1271.1248, usercpu_time_millis: 14.694, usercpu_time_millis_testing: 1.051, usercpu_time_millis_training: 13.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -905.154, mean_absolute_error: 0.1002, 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: 0.8449, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.8914, scimark_benchmark: 1250.0084, usercpu_time_millis: 40.95, usercpu_time_millis_testing: 2.844, usercpu_time_millis_training: 38.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -851.4902, mean_absolute_error: 0.099, 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: 0.8347, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.882, scimark_benchmark: 1253.2376, usercpu_time_millis: 10.942, usercpu_time_millis_testing: 0.732, usercpu_time_millis_training: 10.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.9063, kb_relative_information_score: -1050.7748, mean_absolute_error: 0.1048, 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: 0.8839, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.9172, scimark_benchmark: 1268.4343, usercpu_time_millis: 57.159, usercpu_time_millis_testing: 4.712, usercpu_time_millis_training: 52.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.9063, kb_relative_information_score: -644.5223, mean_absolute_error: 0.1145, 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: 0.965, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.9725, scimark_benchmark: 1253.4157, usercpu_time_millis: 23.527, usercpu_time_millis_testing: 3.36, usercpu_time_millis_training: 20.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -805.4231, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8323, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.8784, scimark_benchmark: 1266.6188, usercpu_time_millis: 48.159, usercpu_time_millis_testing: 3.378, usercpu_time_millis_training: 44.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.9238, kappa: 0.2136, kb_relative_information_score: -648.6414, 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: 0.7891, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.8517, scimark_benchmark: 1244.0163, usercpu_time_millis: 113.353, usercpu_time_millis_testing: 5.511, usercpu_time_millis_training: 107.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -713.77, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9345, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.8041, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.8621, scimark_benchmark: 1254.3218, usercpu_time_millis: 133.561, usercpu_time_millis_testing: 6.255, usercpu_time_millis_training: 127.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -849.8276, mean_absolute_error: 0.1009, 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: 0.8508, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.8886, scimark_benchmark: 1266.0149, usercpu_time_millis: 12.169, usercpu_time_millis_testing: 1.011, usercpu_time_millis_training: 11.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.9248, kappa: 0.2246, kb_relative_information_score: -699.4763, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9409, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7927, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.8489, scimark_benchmark: 1272.6318, usercpu_time_millis: 7.124, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 6.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.9248, kappa: 0.2284, kb_relative_information_score: -612.8038, mean_absolute_error: 0.0924, 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: 0.7789, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.8546, scimark_benchmark: 1249.9648, usercpu_time_millis: 82.485, usercpu_time_millis_testing: 3.862, usercpu_time_millis_training: 78.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -614.3202, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9347, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.208, root_relative_squared_error: 0.8552, scimark_benchmark: 1266.149, usercpu_time_millis: 114.441, usercpu_time_millis_testing: 8.437, usercpu_time_millis_training: 106.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -971.542, mean_absolute_error: 0.1013, 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: 0.8541, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.8972, scimark_benchmark: 1247.6432, usercpu_time_millis: 55.364, usercpu_time_millis_testing: 3.119, usercpu_time_millis_training: 52.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.9214, kappa: 0.1854, kb_relative_information_score: -617.5429, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9356, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7874, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.8547, scimark_benchmark: 1268.1326, usercpu_time_millis: 45.221, usercpu_time_millis_testing: 3.291, usercpu_time_millis_training: 41.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.9271, kappa: 0.2552, kb_relative_information_score: -620.3792, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.938, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7751, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.8449, scimark_benchmark: 1243.8902, usercpu_time_millis: 98.889, usercpu_time_millis_testing: 3.628, usercpu_time_millis_training: 95.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.9115, kappa: 0.0658, kb_relative_information_score: -666.0249, mean_absolute_error: 0.0965, 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: 0.8134, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.8697, scimark_benchmark: 1243.6223, usercpu_time_millis: 71.087, usercpu_time_millis_testing: 6.692, usercpu_time_millis_training: 64.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.9063, kb_relative_information_score: -1301.6818, 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: 0.924, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.9481, scimark_benchmark: 1247.7233, usercpu_time_millis: 32.666, usercpu_time_millis_testing: 2.264, usercpu_time_millis_training: 30.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.9224, kappa: 0.2009, kb_relative_information_score: -577.7713, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9331, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, 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: 1241.4866, usercpu_time_millis: 35.345, usercpu_time_millis_testing: 2.547, usercpu_time_millis_training: 32.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.9063, kb_relative_information_score: -1142.0408, mean_absolute_error: 0.1069, 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: 0.9009, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.9299, scimark_benchmark: 1241.6157, usercpu_time_millis: 35.684, usercpu_time_millis_testing: 2.447, usercpu_time_millis_training: 33.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.9063, kb_relative_information_score: -1166.3532, 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: 0.9143, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.9398, scimark_benchmark: 1272.0904, usercpu_time_millis: 4.713, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 4.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.928, kappa: 0.2762, kb_relative_information_score: -566.3911, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.932, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7574, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.8432, scimark_benchmark: 1259.2209, usercpu_time_millis: 132.285, usercpu_time_millis_testing: 4.857, usercpu_time_millis_training: 127.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.9169, kappa: 0.1291, kb_relative_information_score: -727.8616, mean_absolute_error: 0.0959, 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: 0.8085, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.8641, scimark_benchmark: 1273.9474, usercpu_time_millis: 46.266, usercpu_time_millis_testing: 2.44, usercpu_time_millis_training: 43.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -909.8997, mean_absolute_error: 0.0999, 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: 0.8425, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.8904, scimark_benchmark: 1265.1536, usercpu_time_millis: 12.968, usercpu_time_millis_testing: 0.832, usercpu_time_millis_training: 12.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -798.24, mean_absolute_error: 0.1006, 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: 0.8485, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.8853, scimark_benchmark: 1270.578, usercpu_time_millis: 25.635, usercpu_time_millis_testing: 2.747, usercpu_time_millis_training: 22.888,

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