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: 0.8822, f_measure: 0.9063, kb_relative_information_score: -1034.7931, 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: 0.8819, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.915, scimark_benchmark: 1268.5885, usercpu_time_millis: 33.885, usercpu_time_millis_testing: 3.035, usercpu_time_millis_training: 30.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.9208, kappa: 0.1773, kb_relative_information_score: -629.8375, mean_absolute_error: 0.0942, 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: 0.7938, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.8537, scimark_benchmark: 1239.3311, usercpu_time_millis: 79.408, usercpu_time_millis_testing: 5.591, usercpu_time_millis_training: 73.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.9115, kappa: 0.0658, kb_relative_information_score: -653.3546, mean_absolute_error: 0.0957, 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: 0.8072, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.8657, scimark_benchmark: 1247.8119, usercpu_time_millis: 83.067, usercpu_time_millis_testing: 6.893, usercpu_time_millis_training: 76.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.9063, kb_relative_information_score: -1344.7917, mean_absolute_error: 0.1099, 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: 0.9263, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.9493, scimark_benchmark: 1256.0322, usercpu_time_millis: 20.61, usercpu_time_millis_testing: 1.467, usercpu_time_millis_training: 19.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.9063, kb_relative_information_score: -1170.6076, mean_absolute_error: 0.1111, 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: 0.9368, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.9553, scimark_benchmark: 1254.1123, usercpu_time_millis: 24.169, usercpu_time_millis_testing: 2.482, usercpu_time_millis_training: 21.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.9238, kappa: 0.2136, kb_relative_information_score: -648.796, mean_absolute_error: 0.0939, 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: 0.7914, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.8506, scimark_benchmark: 1272.7097, usercpu_time_millis: 97.864, usercpu_time_millis_testing: 5.937, usercpu_time_millis_training: 91.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.9224, kappa: 0.2009, kb_relative_information_score: -611.3697, mean_absolute_error: 0.0927, 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: 0.7816, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.8529, scimark_benchmark: 1249.4639, usercpu_time_millis: 12.459, usercpu_time_millis_testing: 0.651, usercpu_time_millis_training: 11.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.9232, kappa: 0.2102, kb_relative_information_score: -632.9687, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.934, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7857, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.8484, scimark_benchmark: 1251.8778, usercpu_time_millis: 144.928, usercpu_time_millis_testing: 7.827, usercpu_time_millis_training: 137.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.9063, kb_relative_information_score: -1298.0749, 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: 0.9233, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.947, scimark_benchmark: 1275.8363, usercpu_time_millis: 27.186, usercpu_time_millis_testing: 2.202, usercpu_time_millis_training: 24.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.9063, kb_relative_information_score: -1254.1329, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.9442, scimark_benchmark: 1261.8192, usercpu_time_millis: 38.666, usercpu_time_millis_testing: 3.298, usercpu_time_millis_training: 35.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -883.5382, mean_absolute_error: 0.1028, 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: 0.8663, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.9018, scimark_benchmark: 1270.0593, usercpu_time_millis: 49.339, usercpu_time_millis_testing: 4.732, usercpu_time_millis_training: 44.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1017.0069, 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: 0.902, scimark_benchmark: 1271.3983, usercpu_time_millis: 55.603, usercpu_time_millis_testing: 2.83, usercpu_time_millis_training: 52.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -665.6676, mean_absolute_error: 0.0964, 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: 0.8123, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.8685, scimark_benchmark: 1240.5271, usercpu_time_millis: 102.855, usercpu_time_millis_testing: 9.563, usercpu_time_millis_training: 93.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -748.6967, mean_absolute_error: 0.096, 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: 0.8096, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.8699, scimark_benchmark: 1247.1622, usercpu_time_millis: 28.681, usercpu_time_millis_testing: 1.551, usercpu_time_millis_training: 27.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.9063, kb_relative_information_score: -1125.4418, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.902, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.9307, scimark_benchmark: 1247.5583, usercpu_time_millis: 46.199, usercpu_time_millis_testing: 4.138, usercpu_time_millis_training: 42.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.9194, kappa: 0.1593, kb_relative_information_score: -691.9069, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9386, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.8023, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.8599, scimark_benchmark: 1266.0059, usercpu_time_millis: 53.291, usercpu_time_millis_testing: 3.008, usercpu_time_millis_training: 50.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -869.8185, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8417, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.8846, scimark_benchmark: 1261.5908, usercpu_time_millis: 62.483, usercpu_time_millis_testing: 4.228, usercpu_time_millis_training: 58.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -621.0002, mean_absolute_error: 0.0932, 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: 0.786, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8541, scimark_benchmark: 1254.4016, usercpu_time_millis: 83.445, usercpu_time_millis_testing: 4.63, usercpu_time_millis_training: 78.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.9178, kappa: 0.145, kb_relative_information_score: -713.664, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.929, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.7921, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.8657, scimark_benchmark: 1276.5356, usercpu_time_millis: 166.241, usercpu_time_millis_testing: 7.395, usercpu_time_millis_training: 158.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: -0.8557, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1247.3757, usercpu_time_millis: 9.544, usercpu_time_millis_testing: 0.95, usercpu_time_millis_training: 8.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.9063, kb_relative_information_score: -1043.2206, mean_absolute_error: 0.1047, 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: 0.8824, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.223, root_relative_squared_error: 0.9167, scimark_benchmark: 1270.6471, usercpu_time_millis: 6.826, usercpu_time_millis_testing: 0.536, usercpu_time_millis_training: 6.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.925, kappa: 0.2302, kb_relative_information_score: -603.4878, mean_absolute_error: 0.0926, 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: 0.7809, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.8465, scimark_benchmark: 1264.6974, usercpu_time_millis: 101.166, usercpu_time_millis_testing: 6.307, usercpu_time_millis_training: 94.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.9063, kb_relative_information_score: -1044.8225, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9043, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.9295, scimark_benchmark: 1275.6376, usercpu_time_millis: 39.002, usercpu_time_millis_testing: 3.396, usercpu_time_millis_training: 35.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.9063, kb_relative_information_score: -1064.4908, mean_absolute_error: 0.1037, 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: 0.8743, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.9111, scimark_benchmark: 1266.242, usercpu_time_millis: 45.686, usercpu_time_millis_testing: 2.684, usercpu_time_millis_training: 43.002,
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: 0.9135, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -674.309, mean_absolute_error: 0.097, 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: 0.8179, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.8697, scimark_benchmark: 1264.9128, usercpu_time_millis: 101.046, usercpu_time_millis_testing: 8.729, usercpu_time_millis_training: 92.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.9142, kappa: 0.0979, kb_relative_information_score: -605.31, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9324, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.861, scimark_benchmark: 1261.9674, usercpu_time_millis: 110.955, usercpu_time_millis_testing: 10.06, usercpu_time_millis_training: 100.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -791.3722, mean_absolute_error: 0.0967, 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: 0.815, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8704, scimark_benchmark: 1269.8742, usercpu_time_millis: 155.231, usercpu_time_millis_testing: 6.331, usercpu_time_millis_training: 148.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -762.7775, mean_absolute_error: 0.0969, 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: 0.817, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.8763, scimark_benchmark: 1272.8602, usercpu_time_millis: 6.597, usercpu_time_millis_testing: 0.58, usercpu_time_millis_training: 6.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.9149, kappa: 0.1071, kb_relative_information_score: -728.0886, mean_absolute_error: 0.0969, 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: 0.8167, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.8657, scimark_benchmark: 1268.7763, usercpu_time_millis: 17.941, usercpu_time_millis_testing: 1.507, usercpu_time_millis_training: 16.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1066.7757, mean_absolute_error: 0.1045, 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: 0.881, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.9157, scimark_benchmark: 1258.7903, usercpu_time_millis: 35.859, usercpu_time_millis_testing: 2.31, usercpu_time_millis_training: 33.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -748.1543, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9296, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.212, root_relative_squared_error: 0.8717, scimark_benchmark: 1259.1628, usercpu_time_millis: 76.094, usercpu_time_millis_testing: 5.119, usercpu_time_millis_training: 70.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.9258, kappa: 0.2392, kb_relative_information_score: -664.9313, mean_absolute_error: 0.0937, 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: 0.7903, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8522, scimark_benchmark: 1233.4253, usercpu_time_millis: 90.732, usercpu_time_millis_testing: 3.937, usercpu_time_millis_training: 86.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -759.1326, 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: 0.8322, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.8763, scimark_benchmark: 1271.5821, usercpu_time_millis: 29.874, usercpu_time_millis_testing: 2.514, usercpu_time_millis_training: 27.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.9063, kb_relative_information_score: -810.5718, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8612, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.8967, scimark_benchmark: 1254.3207, usercpu_time_millis: 31.466, usercpu_time_millis_testing: 3.078, usercpu_time_millis_training: 28.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -835.9856, mean_absolute_error: 0.0989, 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: 0.8338, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.8776, scimark_benchmark: 1265.832, usercpu_time_millis: 72.611, usercpu_time_millis_testing: 5.091, usercpu_time_millis_training: 67.52,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -646.385, mean_absolute_error: 0.0944, 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: 0.796, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.209, root_relative_squared_error: 0.8592, scimark_benchmark: 1252.1447, usercpu_time_millis: 39.694, usercpu_time_millis_testing: 2.557, usercpu_time_millis_training: 37.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -857.0028, mean_absolute_error: 0.1013, 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: 0.854, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.8957, scimark_benchmark: 1264.5089, usercpu_time_millis: 59.25, usercpu_time_millis_testing: 5.922, usercpu_time_millis_training: 53.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.9063, kb_relative_information_score: -1226.8163, 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: 0.9205, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.9434, scimark_benchmark: 1254.1196, usercpu_time_millis: 16.125, usercpu_time_millis_testing: 1.415, usercpu_time_millis_training: 14.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.9258, kappa: 0.2392, kb_relative_information_score: -593.2121, mean_absolute_error: 0.0923, 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: 0.7781, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.8475, scimark_benchmark: 1265.1106, usercpu_time_millis: 81.683, usercpu_time_millis_testing: 4.592, usercpu_time_millis_training: 77.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.9271, kappa: 0.2552, kb_relative_information_score: -569.8428, mean_absolute_error: 0.0912, 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: 0.7689, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.8457, scimark_benchmark: 1272.9954, usercpu_time_millis: 37.96, usercpu_time_millis_testing: 2.046, usercpu_time_millis_training: 35.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.9063, kb_relative_information_score: -1076.141, 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: 0.8859, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.9182, scimark_benchmark: 1257.5874, usercpu_time_millis: 23.153, usercpu_time_millis_testing: 1.701, usercpu_time_millis_training: 21.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.924, kappa: 0.2194, kb_relative_information_score: -586.3028, mean_absolute_error: 0.0923, 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: 0.7778, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.206, root_relative_squared_error: 0.847, scimark_benchmark: 1255.1538, usercpu_time_millis: 125.044, usercpu_time_millis_testing: 7.387, usercpu_time_millis_training: 117.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.92, kappa: 0.1676, kb_relative_information_score: -638.5538, mean_absolute_error: 0.0945, 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: 0.7965, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.8567, scimark_benchmark: 1272.4835, usercpu_time_millis: 40.804, usercpu_time_millis_testing: 3.141, usercpu_time_millis_training: 37.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.9063, kb_relative_information_score: -1285.0134, 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: 0.9219, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.947, scimark_benchmark: 1270.5835, usercpu_time_millis: 42.981, usercpu_time_millis_testing: 3.262, usercpu_time_millis_training: 39.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.9253, kappa: 0.232, kb_relative_information_score: -642.1214, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9394, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.8491, scimark_benchmark: 1250.7548, usercpu_time_millis: 133.415, usercpu_time_millis_testing: 7.345, usercpu_time_millis_training: 126.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.9254, kappa: 0.2443, kb_relative_information_score: -560.7868, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9298, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.8444, scimark_benchmark: 1275.9361, usercpu_time_millis: 122.133, usercpu_time_millis_testing: 6.008, usercpu_time_millis_training: 116.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.9063, kb_relative_information_score: -984.4707, mean_absolute_error: 0.1119, 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: 0.9436, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.9575, scimark_benchmark: 1269.3342, usercpu_time_millis: 7.076, usercpu_time_millis_testing: 0.675, usercpu_time_millis_training: 6.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.9063, kb_relative_information_score: -1214.7148, 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: 0.9205, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.9438, scimark_benchmark: 1270.4307, usercpu_time_millis: 46.705, usercpu_time_millis_testing: 3.874, usercpu_time_millis_training: 42.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.9197, kappa: 0.1661, kb_relative_information_score: -654.4635, mean_absolute_error: 0.0946, 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: 0.7977, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8524, scimark_benchmark: 1267.1941, usercpu_time_millis: 32.9, usercpu_time_millis_testing: 2.195, usercpu_time_millis_training: 30.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.9088, kappa: 0.0327, kb_relative_information_score: -1104.5047, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9166, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8448, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.8986, scimark_benchmark: 1272.7432, usercpu_time_millis: 3.508, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 3.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.9063, kb_relative_information_score: -1083.3819, mean_absolute_error: 0.1061, 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: 0.8941, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.9226, scimark_benchmark: 1246.7552, usercpu_time_millis: 11.65, usercpu_time_millis_testing: 1.014, usercpu_time_millis_training: 10.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.9063, kb_relative_information_score: -1243.4844, 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: 0.2281, root_relative_squared_error: 0.9378, scimark_benchmark: 1273.0887, usercpu_time_millis: 44.579, usercpu_time_millis_testing: 2.984, usercpu_time_millis_training: 41.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.9063, kb_relative_information_score: -1103.135, 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: 0.8912, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.9222, scimark_benchmark: 1251.7835, usercpu_time_millis: 7.819, usercpu_time_millis_testing: 0.541, usercpu_time_millis_training: 7.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.9063, kb_relative_information_score: -1171.8092, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9019, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.9315, scimark_benchmark: 1270.4764, usercpu_time_millis: 17.648, usercpu_time_millis_testing: 0.984, usercpu_time_millis_training: 16.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.9208, kappa: 0.1822, kb_relative_information_score: -645.0055, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9312, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7878, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.207, root_relative_squared_error: 0.8513, scimark_benchmark: 1253.4386, usercpu_time_millis: 39.162, usercpu_time_millis_testing: 2.416, usercpu_time_millis_training: 36.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -803.9687, mean_absolute_error: 0.0992, 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: 0.8363, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.8763, scimark_benchmark: 1259.9717, usercpu_time_millis: 45.263, usercpu_time_millis_testing: 4.158, usercpu_time_millis_training: 41.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.9063, kb_relative_information_score: -1110.3469, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9054, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.9321, scimark_benchmark: 1273.9906, usercpu_time_millis: 52.92, usercpu_time_millis_testing: 4.511, usercpu_time_millis_training: 48.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1059.8081, mean_absolute_error: 0.1047, 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: 0.8825, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.9164, scimark_benchmark: 1269.9361, usercpu_time_millis: 59.896, usercpu_time_millis_testing: 4.398, usercpu_time_millis_training: 55.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.9063, kb_relative_information_score: -1083.4872, mean_absolute_error: 0.1109, 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: 0.9351, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.232, root_relative_squared_error: 0.9537, scimark_benchmark: 1260.3296, usercpu_time_millis: 16.366, usercpu_time_millis_testing: 1.671, usercpu_time_millis_training: 14.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.9248, kappa: 0.2284, kb_relative_information_score: -641.1569, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9357, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.8496, scimark_benchmark: 1261.5584, usercpu_time_millis: 19.633, usercpu_time_millis_testing: 1.048, usercpu_time_millis_training: 18.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8797, f_measure: 0.9063, kb_relative_information_score: -1125.9889, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.9198, scimark_benchmark: 1248.2701, usercpu_time_millis: 77.81, usercpu_time_millis_testing: 4.277, usercpu_time_millis_training: 73.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.926, kappa: 0.2445, kb_relative_information_score: -596.9339, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9356, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7755, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.8504, scimark_benchmark: 1271.0817, usercpu_time_millis: 80.861, usercpu_time_millis_testing: 3.543, usercpu_time_millis_training: 77.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -962.1062, mean_absolute_error: 0.1015, 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: 0.8559, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.8994, scimark_benchmark: 1266.9308, usercpu_time_millis: 39.116, usercpu_time_millis_testing: 2.843, usercpu_time_millis_training: 36.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -898.1893, mean_absolute_error: 0.1014, 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: 0.8548, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.8947, scimark_benchmark: 1268.7221, usercpu_time_millis: 58.652, usercpu_time_millis_testing: 4.649, usercpu_time_millis_training: 54.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.9232, kappa: 0.2143, kb_relative_information_score: -631.6746, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.93, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7768, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8539, scimark_benchmark: 1273.9284, usercpu_time_millis: 14.615, usercpu_time_millis_testing: 1.003, usercpu_time_millis_training: 13.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.9063, kb_relative_information_score: -1193.1102, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.905, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.9312, scimark_benchmark: 1267.8538, usercpu_time_millis: 3.527, usercpu_time_millis_testing: 0.447, usercpu_time_millis_training: 3.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -772.9074, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.8852, scimark_benchmark: 1237.454, usercpu_time_millis: 10.751, usercpu_time_millis_testing: 0.967, usercpu_time_millis_training: 9.784,

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